Efecto de la frecuencia de ordeño sobre la producción
Transcription
Efecto de la frecuencia de ordeño sobre la producción
Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Alexandr Torres Krupij Octubre 2013 Anexo II UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Departamento: Instituto Universitario de Sanidad Animal y Seguridad Alimentaria Programa de Doctorado: Sanidad Animal Título de la Tesis “EFECTO DE LA FRECUENCIA DE ORDEÑO SOBRE LA PRODUCCIÓN, FRACCIONAMIENTO LECHERO Y PARÁMETROS DE CALIDAD DE LA LECHE EN LAS CABRAS CANARIAS” Tesis Doctoral presentada por D. Alexandr Torres Krupij Dirigida por los Dres. D. Anastasio Argüello Henríquez y D. Juan Capote Álvarez El Director, Anastasio Argüello Henríquez El Director, Juan Capote Álvarez El Doctorando, Alexandr Torres Krupij Las Palmas de Gran Canaria, a 15 de julio de 2013 ANASTASIO ARGÜELLO HENRÍQUEZ, PROFESOR TITULAR DE UNIVERSIDAD EN EL DEPARTAMENTO DE PATOLOGÍA ANIMAL, PRODUCCIÓN ANIMAL, BROMATOLOGÍA Y TECNOLOGÍA DE LOS ALIMENTOS DE LA FACULTAD DE VETERINARIA DE LA UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA INFORMA: Que Alexandr Torres Krupij, Ingeniero Químico, ha realizado bajo mi dirección y asesoramiento el presente trabajo titulado “EFECTO DE LA FRECUENCIA DE ORDEÑO SOBRE LA PRODUCCIÓN, FRACCIONAMIENTO LECHERO Y PARÁMETROS DE CALIDAD DE LA LECHE EN LAS CABRAS CANARIAS” considerando que reúne las condiciones y calidad científica para optar al grado de Doctor en Veterinaria. Las Palmas de Gran Canaria, julio 2013 Fdo. Anastasio Argüello Henríquez JUAN CAPOTE ÁLVAREZ, DIRECTOR DE LA UNIDAD DE PRODUCCIÓN ANIMAL, PASTOS Y FORRAJES DEL INSTITUTO CANARIO DE INVESTIGACIONES AGRARIAS INFORMA: Que Alexandr Torres Krupij, Ingeniero Químico, ha realizado bajo mi dirección y asesoramiento el presente trabajo titulado “EFECTO DE LA FRECUENCIA DE ORDEÑO SOBRE LA PRODUCCIÓN, FRACCIONAMIENTO LECHERO Y PARÁMETROS DE CALIDAD DE LA LECHE EN LAS CABRAS CANARIAS” considerando que reúne las condiciones y calidad científica para optar al grado de Doctor en Veterinaria. Las Palmas de Gran Canaria, julio 2013 Fdo. Juan Capote Álvarez FACULTAD DE VETERINARIA TESIS DOCTORAL EFECTO DE LA FRECUENCIA DE ORDEÑO SOBRE LA PRODUCCIÓN, FRACCIONAMIENTO LECHERO Y PARÁMETROS DE CALIDAD DE LA LECHE EN LAS CABRAS CANARIAS Alexandr Torres Krupij Las Palmas de Gran Canaria, Octubre 2013 AGRADECIMIENTOS Ni en estas líneas ni en un libro entero puedo plasmar mi gratitud a las personas e instituciones que han hecho posible la realización de esta tesis. Soy de los que prefieren mostrar cotidianamente mi agradecimiento de muchas formas, sin necesidad de esperar al final para enumerar una a una las personas que han sido importantes en este trabajo. Sin embargo, me gustaría mencionar: • Al INIA por la oportunidad de financiar mi doctorado, sin lo cual, hubiese sido prácticamente imposible continuar con la formación. • Muchas gracias al equipo de trabajo del Departamento de Producción Animal de la ULPGC y a la Unidad de Producción Animal, Pastos y Forrajes del ICIA. A los “jefes” de dichos grupos, por mostrarme las directrices a seguir y contribuir a lograr los objetivos pautados. A mis compañeros de laboratorio (estudiantes y personal técnico) por brindarme su amistad y ayuda desinteresada. Por compartir tantos momentos agradables. Me siento orgulloso de haber pertenecido a estos grupos. • Especialmente gracias al personal de la Escuela de Capacitación Agraria de Arucas, por hacer que mi estancia fuese tan entrañable, fueron como una familia para mí y nunca los olvidaré. • Por último, mención especial a esas personas, que aunque no pertenezcan a este mundo de cabras, experimentos-resultados y papers, me animaron en su momento a empezar un doctorado, a continuar cuando las fuerzas disminuían, y a darme el empujón final con alegría y esperanza. Gracias de corazón. Textos: Instituto Canario de Investigaciones Agrarias. Finca “Isamar”, Ctra. de El Boquerón s/n, Valle Guerra. La Laguna. Tenerife. 38270. Facultad de Veterinaria de la Universidad de Las Palmas de Gran Canaria. Campus Universitario de Arucas. Arucas. 35416. Diseño y cuidado editorial Mónica Pedrós Fotografía de portada Fermín Correa INDICE INTRODUCCIÓN 21 ARTÍCULO 1 69 ARTÍCULO 2 75 MANUSCRITO 3 83 MANUSCRITO 4 103 MANUSCRITO 5 123 CONCLUSIONES 145 INTRODUCCIÓN INTRODUCCIÓN 1. El sector caprino 1.1. El caprino a nivel mundial 1.1.1. Generalidades La cabra fue de los primeros animales domesticados por el hombre, hace unos 10500 años, contribuyendo al desarrollo de la agricultura durante el periodo neolítico (Fernández y col., 2006). Desde entonces entró a formar parte de la alimentación del ser humano, proporcionándole leche y carne, además de piel, pelo y estiércol (Vigne y Helmer, 2006). La importante contribución de la ganadería caprina al sostenimiento alimentario de la humanidad ha hecho que en la actualidad se encuentre en regiones geográficas que difieren notablemente en clima, topografía y fertilidad, debido a su gran rusticidad y adaptabilidad (Devendra, 1987). Las cabras pueden adaptarse a una amplia gama de sistemas de intensificación que van de un extremo al otro: por un lado, las razas lecheras mejoradas explotadas en condiciones intensivas en las zonas templadas de Europa o América del Norte, en ciertas zonas favorables de clima tropical húmedo, o en superficies irrigadas de clima tropical seco y, por otro lado, las poblaciones locales que se mantienen en regiones muy áridas en las que los demás rumiantes difícilmente pueden resistir, tales como las zonas desérticas de África o del Medio Oriente (Boyazoglu y Morand-Fehr, 1987). 1.1.2. Población caprina y producción lechera La población caprina a nivel mundial ha incrementado su censo de forma importante durante los últimos 40 años, mucho más que los censos de bovino y ovino (Tabla 1), lo cual sugiere el creciente interés por parte de la población en los productos lácteos derivados de la cabra (Dubeuf, 2005). Tabla 1. Población mundial de bovino, ovino y caprino en los últimos 40 años (millones de cabezas). (FAOSTAT, 2011). Año 2010 2000 1990 1980 1970 Bovino 1427,5 1313,2 1298,4 1217,0 1081,6 Ovino 1078,3 1059,7 1207,9 1098,7 1063,3 21 Caprino 909,8 751,4 591,1 464,3 377,7 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Sin embargo, la distribución del caprino es bastante desigual a nivel mundial. Según la Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO), en el año 2011 Asia concentraba el 61,6% del censo total, mientras que África contaba con el 31,6%. En contraste, Europa y América sólo tienen el 1,9% y 4,3%, respectivamente. Así, países como China, India, Pakistán, Bangladesh, y Nigeria (Figura 1) están a la cabeza en cuanto a población de cabras, representando un valioso sustento para numerosas familias de escasos recursos. Figura 1. Principales países en población caprina en el año 2011. (FAOSTAT, 2011). De acuerdo con la FAO, la producción de leche de cabra en el mundo durante el año 2011 fue de aproximadamente 15 millones de toneladas, lo que representó el 2,2% del total de la leche producida a nivel mundial. Europa, con sólo el 5% del total del ganado caprino lechero, produjo casi el 20% del volumen de leche total de esta especie. Cabe señalar, que en algunos países de África y Asia, las estadísticas no registran el verdadero valor de la producción, debido a la dificultad para hacer los censos, por la dispersión de los rebaños, y porque prácticamente toda la leche se destina al consumo de la unidad familiar. 1.1.3. Biodiversidad caprina Entre los 900 millones de cabras a nivel mundial, un total de 570 razas han sido definidas. Los países en vías de desarrollo concentran el 60% del total de las razas (Galal, 2005). En Europa se encuentran los genotipos con mayor producción lechera como la Saanen, Alpina, Nubia o Toggenburg (Figura 2). Sin embargo este continente posee la menor diversidad genética, debido a los procesos de mejora productiva, en los que han desaparecido las razas menos competitivas. 22 INTRODUCCIÓN Figura 2. Principales razas caprinas lecheras. A: Saanen; B: Alpina; C: Nubia; D: Toggenburg. (Breed Standards, www.dairygoatjournal.com). 1.2. El caprino en España 1.2.1. Generalidades Durante muchos años, la cabra en España ha jugado un destacado papel en el abastecimiento de leche para el consumo de la población. La leche obtenida era destinada al consumo familiar, mayoritariamente de forma directa, aunque una fracción variable según casos, era transformada en queso, elaborado en la propia explotación por métodos artesanales (Esteban-Muñoz, 2008). La ganadería caprina ha estado ligada tradicionalmente a zonas rurales poco productivas desde el punto de vista agrícola, dado que las cabras tienen una gran capacidad para el aprovechamiento de los pastos de escasa calidad. Esta característica ha hecho que el ganado caprino jugase un papel importante en el mantenimiento de zonas marginales y de la población asociada a ellas. Aún hoy en día, en España, el 86% de la población caprina se encuentra en las llamadas áreas menos favorecidas (Rancourt y col., 2006), aunque los sistemas de explotación han cambiado sustancialmente. 1.2.2. Población caprina y producción lechera En España, según la FAO, la población de caprinos de aptitud lechera se estimó alrededor de los 1,2 millones de cabezas en el año 2011. La evolución del censo caprino en los últimos 20 años (Figura 3) ha sufrido oscilaciones significativas, como consecuencia, entre otros aspectos, de la variabilidad en los precios de la leche. Sin embargo, la producción lechera sobrepasó las 540000 toneladas en el 2011, con un incremento anual medio del 4% durante las últimas dos décadas, principalmente debido a la mejora genética y alimenticia, lo cual ha permitido optimizar el rendimiento lechero. 23 Miles de cabezas de ganado Miles de cabezas de ganado Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 2000 1000 1600 800 2000 1200 1000 600 1600 800 800 400 1200 400 600 200 1991 800 1995 1999 2003 Año 2007 2011 400 400 200 Ganado caprino lechero Producción lechera 1991 1995 1999 2003 2007 2011 Miles dde e tloneladas de leche Miles de toneladas eche Introducción Introducción Año Figura 3. Evolución del ganado caprino lechero y producción de leche de cabra en España en los últimos Ganado c20 aprino lechera años.lechero (FAOSTAT,Producción 2011). Figura 3. Evolución del ganado caprino lechero y producción de leche de cabra España últimos Figura 3. Evolución del ganado caprino lechero y producción de leche de cabra en en España en en loslos últimos 20 años. (FAOSTAT, 2011). La distribución del caprino en la(FAOSTAT, geografía española es muy irregular (Figura 4). 20 años. 2011). En La Canarias y en eldelsur de la Península Ibéricaespañola se concentra alrededor 80% del censo distribución caprino en la geografía es muy irregulardel (Figura 4). En Canarias y en elde surcabras. de La la Península Ibérica sedeconcentra alrededor del 80% censo de cabras. La larga distribución del caprino la geografía española esgeográficas muy irregular 4). tradiLa larga tradición losencabreros de dichas áreasdel y la(Figura presencia ción de los cabreros de dichas áreas geográficas y la presencia de razas caprinas de alta producción Enrazas Canarias y en de el sur la Península se concentra alrededor agroclimática, del 80% del censo de caprinas altadeproducción de Ibérica leche, además de la situación han de leche, además de la situación agroclimática, han favorecido el desarrollo del caprino en estas de cabras. La larga tradición de losen cabreros de dichas áreas geográficas y la presencia favorecido el desarrollo del caprino estas regiones (Esteban-Muñoz, 2008). regiones (Esteban-Muñoz, 2008). de razas caprinas de alta producción de leche, además de la situación agroclimática, han favorecido el desarrollo del caprino en estas regiones (Esteban-Muñoz, 2008). Figura 4. Distribución deldel ganado caprino porpor comunidades autónomas en 2011. (MAGRAMA, Figura 4. Distribución ganado caprino comunidades autónomas en 2011. (MAGRAMA,2011). 2011). Figura 4. Distribución del ganado caprino por comunidades autónomas en 2011. (MAGRAMA, 2011). 24 Página 9 leche de cabra, con más del 40% del total español, seguida por Canarias y Castilla La Mancha (Figura 5). La leche de cabra que se obtiene se destina mayoritariamente a la fabricación de queso, y en menor medida al consumo directo. Según datos INTRODUCCIÓN del Ministerio de Agricultura, Alimentación y Medio Ambiente (MAGRAMA), en el año 2010, únicamente el 40% defue la la leche de cabraautónoma recogida con en mayor Españaproducción se destinó de a la En el año 2011, Andalucía comunidad leche de cabra, con más del 40% del totaldeespañol, seguida Canarias y Castilla La Mancha (Figura fabricación de queso puro cabra, siendo el por resto de la leche destinada a quesos de 5). La leche de cabra que se obtiene se destina mayoritariamente a la fabricación de queso, y en menor memezcla, otros productos fermentados o exportada a otros países. Se han identificado un dida al consumo directo. Según datos del Ministerio de Agricultura, Alimentación y Medio Ambiente (MAGRAMA), el año puros 2010, únicamente 40% yde21lade leche de cabra recogida en España se destinó total de 28enquesos de leche de el cabra mezcla con leche de oveja y/o vaca a la fabricación de queso puro de cabra, siendo el resto de la leche destinada a quesos de mezcla, (Ramírez, 2009). Así, encontramos quesos típicos en Andalucía (Sierra de Cádiz, otros productos fermentados o exportada a otros países. Se han identificado un total de 28 quesos Quesitos Zuheros, Sierra decon Cazorla, Murcia (Murcia al vino), puros de lechede de cabra y 21 de mezcla leche deMalagueño), oveja y/o vaca (Ramírez, 2009). Así, encontramos quesos típicos en (Ibores), Andalucía (Sierra de(Majorero, Cádiz, Quesitos de Herreño), Zuheros, Sierra de Cazorla, Malagueño), Extremadura y Canarias Palmero, entre otros. En general, Murcia (Murcia al vino), Extremadura (Ibores), y Canarias (Majorero, Palmero, Herreño), entre otros. se trata de quesos de calidad donde la industria ha mantenido los tipos tradicionales y En general, se trata de quesos de calidad donde la industria ha mantenido los tipos tradicionales y los los criterios de elaboración, donde algunos ellos han accedido a los mercados criterios básicos básicos de elaboración, donde algunos de ellosde han accedido a los mercados internacionales con éxito (Esteban-Muñoz, 2008). internacionales con éxito (Esteban-Muñoz, 2008). Resto Castilla y 6% León 7% Canarias 19% Castilla La Mancha 13% Murcia 7% Andalucía 43% Extremadura 5% Figura 5. Distribución de la cantidad de leche producida por Comunidades Autónomas en el 2011. (MAGRAMA, 2011). Figura 5. Distribución de la cantidad de leche producida por Comunidades Autónomas en el 2011. (MAGRAMA, 2011). 1.2.3. Biodiversidad caprina España cuenta con un patrimonio genético caprino que ocupa un lugar preferente en Europa. La alta a capacidad de las razas autóctonas para producir leche en zonas desfavorecidas, Página conduce 10 que la explotación de estos animales adquiera un significado especial en los campos económico y 25 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias social (Castel y col., 2010). El Real Decreto 2129/2008, de 26 de diciembre, establece el programa nacional de conservación, mejora y fomento de las razas ganaderas. En el mismo se definen a las razas autóctonas caprinas como de fomento o de protección especial. Las razas Murciano-Granadina y Malagueña (Figura 6) que junto con las razas Majorera, Palmera y Tinerfeña, se encuentran en expansión por su censo y organización, son las consideradas como de fomento, mientras que el grupo de protección especial compuesto por otras 16 razas, entre las que destacan la Payoya y la Florida, disponen en su conjunto de una población reducida, debido a una menor producción lechera, al fuerte aumento de los costes de producción, además de los problemas relacionados con la escasez de cabreros (Esteban-Muñoz, 2008). Figura 6. Cabras Murciano-Granadina (izquierda) y Malagueña (derecha). (MURCIGRAN y CABRAMA). 1.3. El caprino en las Islas Canarias 1.3.1. Generalidades En Canarias, la explotación caprina ha constituido tradicionalmente un importante recurso económico que, en épocas prehispánicas, llegó a ser el más importante de los aborígenes (Figura 7) (Fresno y col., 1992). El ganado que ellos manejaban, de origen desconocido hasta el momento, les servía como fuente de alimentación (carne, leche) y les proporcionaba pieles, huesos e incluso productos con utilidad medicinal (manteca). Es de suponer que estos animales, constituían una raza rústica más o menos uniforme, si bien existían por aquella época, dos tipos de ganado caprino, uno doméstico o “jairo”, y otro salvaje o “guanil”, cuyos últimos ejemplares desaparecieron en la década de los cincuenta de su último reducto: La Caldera de Taburiente en la isla de La Palma (Capote y col., 1993). 26 INTRODUCCIÓN Figura 7. Mural de Antonio González Suárez sobre la vida aborigen en Canarias, en el salón de plenos del Ayuntamiento de los Llanos de Aridane. (CRDOP Queso Palmero). Desde finales del siglo XV, Canarias se convirtió en paso obligado para las rutas transoceánicas, lo que significó aportes genéticos a la población caprina ya existente. Así, se puede observar en unas determinadas características (capas, cornamenta) la influencia que en su día tuvieron cabras portuguesas (Charnequeira, Serpentina), españolas (Pirenaica, Granadina), europeas (Saanen) y africanas (Nubia), y que junto con las distintas condiciones medioambientales de cada isla (clima, orografía, pastos), han terminado por configurar los tipos caprinos que hoy constituyen el archipiélago (Capote y col., 1998). 1.3.2. Población caprina y producción lechera En la actualidad las cabras tienen un importante peso específico dentro del subsector ganadero, y su población está distribuida en todas las islas, aunque la mayor parte del censo se concentra en Fuerteventura, Gran Canaria, y Tenerife (Tabla 2). 27 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Tabla 2. Distribución de la cabaña caprina por islas en el año 2010. (Instituto Canario de Estadística, 2010). Isla Nº Cabezas 116226 82742 61434 27651 24208 11175 10481 Fuerteventura Gran Canaria Tenerife La Palma Lanzarote La Gomera El Hierro % 34,8 24,8 18,4 8,3 7,2 3,3 3,1 En las últimas décadas, el caprino de las islas se ha exportado a regiones mediterráneas y tropicales donde se ha adaptado con bastante facilidad. Así, en países como Venezuela, la cabra “Canaria” (Figura 8), que no es más que una amalgama de las tres razas de las islas, con predominancia de la raza Majorera, está muy bien valorada por los ganaderos que destacan su rusticidad y alta productividad. Por ello, cerca del 95% de las explotaciones intensivas ubicadas en ese país emplean dicha raza (Torres y Capote, 2011). Adicionalmente, la reciente introducción de cabras de raza Majorera en Senegal y los respectivos informes técnicos confirman la excelente adaptación de esas cabras al medioambiente subsahariano (Capote y col., 2012). Figura 8. Cabras, con cruce de Canaria, en una explotación ganadera en el estado Lara en Venezuela. (Torres y Capote, 2011). 28 INTRODUCCIÓN Según el Instituto Canario de Estadística, en 2010 se produjeron más de 85000 toneladas de leche de cabra, cuya finalidad principal fue la producción de queso (Figura 9), la mayor parte del cual se elabora con leche cruda usando métodos tradicionales y es consumido tras breves periodos de maduración (7 días) (Fresno y col., 2008). Además de la riqueza genética caprina y forrajera, Canarias tiene una excepcional situación sanitaria debido al estar oficialmente libre de brucelosis caprina y ovina (Sánchez-Macías y col., 2011), lo cual permite a aproximadamente 500 productores artesanos la venta de quesos de leche cruda con menos de 60 días de maduración (Fresno y Álvarez, 2007). Destaca la elaboración de dos quesos puros de leche de cabra, Majorero y Palmero, y un queso de mezcla de oveja con leche de vaca y/o cabra, el “Queso Flor de Guía y Queso de Guía” que poseen Denominación de Origen Protegida (DOP), aunque en este último caso, la leche de cabra puede ser utilizada en un 10% como máximo. Figura 9. Quesos canarios. (ICCA). 1.3.3. Biodiversidad caprina Hasta l985 todos los trabajos publicados incluían a los individuos de la población caprina canaria dentro de una raza en la que se admitían las más variadas morfologías. Durante ese mismo año se publicó en el Boletín Oficial del Estado (BOE) la Orden por la que se aprobaban las normas reguladoras del Libro Genealógico y de Comprobación de Rendimiento para la Agrupación Caprina 29 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Canaria, donde se eliminó el término “raza”. Capote (1985) postuló la hipótesis de la existencia de tres razas diferenciadas, basada en la opinión de los ganaderos, y denominadas según su isla de origen: Majorera (Fuerteventura), Palmera (La Palma), y Tinerfeña (Tenerife), si bien esta última podría estar dividida en otras dos que se situarían en la franja Norte (húmeda) y Sur (árida) de la isla. Posteriormente, los estudios morfológicos (Capote y col., 1998) y genéticos (Martínez y col., 2006) confirmaron dicha hipótesis. El reconocimiento de las tres razas (Figura 10) está recogido en el Catálogo Oficial de Razas de Ganado de España (BOE, Orden APA 2420/2003, de 28 de agosto). Figura 10. Razas caprinas canarias. A: Majorera; B: Palmera; C: Tinerfeña. (Gobierno de Canarias). A continuación se describen las tres razas caprinas canarias reconocidas oficialmente: ∑ Raza Majorera. Debe su nombre a la Isla de Fuerteventura (Maxorata en la época prehispánica) lugar donde se formó y donde se encuentra el mayor núcleo de animales de la raza, aunque su cría se extiende por todas las islas del archipiélago. En general, la cabra Majorera se adapta bien a los diferentes sistemas de explotación, desde el pastoreo en zonas áridas, a la estabulación permanente, con elevados rendimientos en la producción de leche. Existe coincidencia en admitir que cuando llegaron los castellanos a las islas, a finales del siglo XV, existía una población caprina adaptada al medio que había permanecido aislada genéticamente del resto del mundo. Posteriormente, la llegada de nuevas etnias, incidieron sobre el fondo genético de la población caprina prehispánica, dejando rasgos en la población actual de las islas y que recuerdan a troncos como el Pirenaico o el Nubiano africano (Amills y col., 2004). 30 INTRODUCCIÓN El prototipo racial responde a las siguientes características (Figura 11): Cabeza de tamaño grande, con perfil fronto-nasal recto o subconvexo, con orejas grandes e inclinadas hacia abajo. Los cuernos pueden ser tipo prisca o de tipo aegagrus, en arco hacia atrás. La línea dorso-lumbar es recta. El pelo se presenta generalmente uniforme, corto y raso, y capa policromada. Ubre de color negro o pizarra, tipo globosa o abolsada, de amplia inserción, con pezones bien diferenciados y, a veces de implantación lateral (Esteban-Muñoz, 2008). Figura 11. Cabra Majorera. (FEAGAS). La producción media de las cabras de raza Majorera es de 551,3 kg de leche en 210 días de lactación. Por otra parte, un elevado porcentaje de cabras mantienen durante ese periodo una producción media superior a 2 kg de leche por día. Con una composición media de la leche de: Grasa = 3,94%; Proteína = 3,90%; Lactosa = 4,55%; Extracto Seco = 13,19% (Fresno, 1993). Hay que tener en cuenta que una buena parte de la leche de estas cabras es destinada a la elaboración de queso artesanal o industrial, el cual se consume después de unos días de oreo, o bien se deja madurar largo tiempo, en ambiente templado y seco. El queso que se va a conservar más tiempo puede untarse con aceite, pimentón y/o gofio, lo que le confiere características peculiares. Su masa al corte aparece compacta, de textura cremosa y sabor acídulo y algo picante. Es de color blanco, tomando un ligero tono marfileño en quesos curados (Fresno y Álvarez, 2007). 31 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias ∑ Raza Palmera. Tiene su origen en la población caprina prehispánica en la isla de La Palma. Al ser esta isla un lugar de paso en las rutas veleras con destino a América, la raza Palmera se vio influenciada por las razas del suroeste de la Península Ibérica. Sin embargo, este genotipo tuvo un mayor aislamiento que las otras razas canarias, lo que la aproxima más a la cabra prehispánica, y sustenta su diferenciación genética, que permite una extraordinaria rusticidad y capacidad de adaptación a zonas abruptas de montaña (Martínez y col., 2006). En la década de los setenta la raza experimentó cruces con animales pertenecientes a la población Majorera con objeto de aumentar la producción de leche, debido a la errónea política en ese momento de considerar a las tres razas canarias como una sola. Aquellos cruzamientos implicaron un trabajo posterior enorme y complicado, aunque afortunadamente con resultados satisfactorios, para eliminar los genes foráneos ya que los híbridos no se adaptaban a las condiciones de explotación de la Isla de La Palma (Capote y col., 1993). El prototipo racial responde a las siguientes características (Figura 12): Cabeza de tamaño pequeño, corta y ancha, con perfil fronto-nasal recto o subcóncavo, orejas más bien cortas y una cornamenta destacada, con predominancia del tipo heteronima. Tronco largo, con línea dorso-lumbar recta. En sus capas predomina el color rojizo y el pelo es de longitud media. Ubre más recogida que en las otras razas canarias, de tipo globosa, color negro o pardo, y con pezones más bien pequeños (Esteban-Muñoz, 2008). Figura 12. Cabra Palmera. (CRDOP Queso Palmero). 32 INTRODUCCIÓN La producción media tipificada a 210 días de lactación, es de 362,6 kg de leche, con una producción de gran persistencia, lo que permite ampliar el periodo de lactación a 240-270 días. La calidad media de la leche es de: Grasa = 4,06%; Proteína = 4,21%; Lactosa = 4,66%; Extracto Seco = 13,75% (Fresno, 1993). La producción de leche de la cabra Palmera va destinada a la fabricación de queso de tipo artesanal. Se trata de un queso graso o extragraso, elaborado con leche cruda y entera, y se comercializa tanto tierno (de 8 a 20 días), como semicurado (21 a 60 días) y curado (a partir de 60 días). El sabor es franco y láctico, muy mantecoso y con un ligero y agradable aroma ahumado (Fresno y Álvarez, 2007). ∑ Raza Tinerfeña. Si bien en el Catálogo Oficial es considerada como una única población, estudios morfológicos y genéticos señalan suficientes evidencias para considerar dos grupos independientes en el norte y sur de la isla de Tenerife (Capote y col., 1998; Martínez y col., 2006). Así, existiría el ecotipo Norte, con gran influencia del tronco pirenaico, y el ecotipo Sur, reducido en pureza por sus cruces con cabra Majorera. Al igual que las otras dos razas, la cabra Tinerfeña presenta una gran rusticidad y elevada aptitud para la producción de leche. El prototipo racial tiene las siguientes características (Figura 13): Cabeza de tamaño proporcionado con el cuerpo, el ecotipo Norte dispone de un perfil fronto-nasal recto o subconvexo, mientras que en el Sur casi siempre es recto. Ambas tienen cornamenta tipo prisca. Orejas de gran tamaño, inclinadas hacia abajo en las cabras del Norte, y de menor tamaño en cabras de la zona Sur. Los caprinos del Norte se caracterizan por presentar pelo largo y colores oscuros, principalmente negro y con alguna frecuencia castaño. Los caprinos del Sur tienen el pelo corto y disponen de una capa multicolor. La ubre de estas cabras, en general presentan un tipo similar al de la cabra Majorera, con pezones pequeños y situados con alguna frecuencia en posición lateral. En la cabra Tinerfeña Norte, la forma de la ubre, frecuentemente globosa, es más adecuada para el ordeño mecánico en lo referente al tamaño y posición de los pezones, que su homóloga del Sur (Esteban-Muñoz, 2008). Los valores asignados a la producción de leche de cabra Tinerfeña en 210 días de lactación, es de 421,0 kg de leche, con una composición de: Grasa = 3,91%; Proteína = 3,79%; Lactosa = 4,46%; Extracto Seco = 13,13% (Fresno, 1993). En la isla de Tenerife, se elabora el Queso de Tenerife, obtenido 33 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias con leche cruda de cabra. Se trata de un queso de graso a extragraso y que se consume preferentemente fresco o ligeramente curado, de color blanco intenso y brillante, y sabor muy fresco y acidulado, ligeramente salado y graso lechoso al paladar (Fresno y Álvarez, 2007). Figura 13. Cabra Tinerfeña Norte. (ACRICATI). 2. La leche de cabra En términos generales, la leche de cabra es un líquido blanco opaco, de un sabor ligeramente azucarado, cuyo olor es poco marcado cuando es recogida con limpieza de animales que tengan un buen estado de salud. La consistencia es uniforme sin grumos ni copos. De la calidad de la leche empleada en queserías va a depender gran parte el éxito de las transformaciones y la calidad del producto final. Nutricionalmente, la leche de cabra es una fuente de proteínas de alto valor biológico y ácidos grasos esenciales, además de minerales y vitamina A. Es de gran importancia para los infantes por su alto valor nutricional, hipoalergenicidad, así como por su alta digestibilidad debido al pequeño tamaño de los glóbulos de grasa. Algunos autores han resaltado las propiedades saludables de la leche de cabra (Silanikove y col., 2010) y sus productos derivados (Ribeiro y Ribeiro, 2010), justificando su alta calidad y los beneficios de su consumo. Además, la población del mundo desarrollado no se preocupa especialmente sobre el costo de los productos en el mercado si al consumir deriva- 34 INTRODUCCIÓN dos lácteos de cabras puede obtener beneficios para la salud (Mowlen, 2005). Actualmente existen revisiones que han profundizado en las características físico-químicas (Park y col., 2007), reológicas (Park, 2007) e higiénico-sanitarias (Raynal-Ljutovac y col., 2007) de la leche de cabra. 2.1. Composición química La leche está compuesta principalmente, además del agua, por materia grasa, proteínas, lactosa, sales minerales, vitaminas, y enzimas. La composición varía apreciablemente de acuerdo a algunos factores como la raza, la alimentación, el período de lactación, la frecuencia de ordeño, el estado sanitario de la cabra, entre otros. 2.1.1. Grasa El contenido de grasa es el componente más variable cuantitativa y cualitativamente en la leche. Los glóbulos de grasa de la leche de cabra son en general más pequeños y más finos que en la leche de vaca (3,5 vs. 4,6 µm, respectivamente) (Park, 2006). A causa de su reducido tamaño y la uniformidad de su distribución, los glóbulos de la leche de cabra ingerida quedan más dispersos y, como resultado, las enzimas digestivas humanas, al actuar sobre ellos, los desintegran de forma más rápida y completa. No se han encontrado diferencias apreciables en el mecanismo de secreción de los glóbulos de grasa en cabra, oveja y vaca, teniendo estos glóbulos una estructura y composición similar entre las tres especies (Scolozzi y col., 2003). Respecto a los ácidos grasos que forman parte de la leche de cabra, cinco de ellos representan más del 75%: cáprico (C10:0), mirístico (C14:0), palmítico (C16:0), esteárico (C18:0) y oleico (C18:1) (Chilliard y col., 2006). 2.1.2. Proteína En cuanto a las proteínas de la leche, éstas se dividen habitualmente como caseínas y proteínas séricas, aunque se pueden encontrar otras proteínas minoritarias, como inmunoglobulinas, lactoferrina, transferrina, ferritina, peptona proteasa, prolactina, etc. El contenido total de proteínas es uno de los principales criterios de calidad usados como sistema de pago de la leche de cabra en muchos países (Pirisi y col., 2007). 35 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias En general, la ß-caseína es la principal caseína en la leche de cabra (Tziboula-Clarke, 2003). La proporción de las 4 caseínas mayoritarias en la leche de cabra está determinada por polimorfismos genéticos, pero en general el orden es ß-caseína > αS2-caseína > αS1-caseína > k-caseína. De media, la αS1-caseína representa el 10% del total de las caseínas, variando de 0 a 25% (Boulanger y col., 1984), dependiendo del genotipo del animal. Las razas caprinas canarias (Majorera, Tinerfeña y, especialmente, Palmera) representan un caso particular donde el 60% de los alelos de la αS1-caseína caprina son del tipo A y B (Jordana y col., 1996), por lo que esta caseína es relativamente abundante en la leche y quesos elaborados a partir de estos animales. 2.1.3. Lactosa La lactosa es el carbohidrato por excelencia en la leche, el cual está formado por una molécula de glucosa y otra de galactosa, que también pueden estar presentes de forma individual en pequeñas cantidades libres (Park, 2006). La lactosa es de gran importancia para mantener el equilibrio osmótico entre la corriente sanguínea y las células alveolares de la glándula mamaria durante la síntesis de la leche, y su secreción en el lumen alveolar y el sistema de conductos de la ubre (Park y col., 2007). En cabra se suele encontrar sobre 0,2-0,5% menos que en la leche de vaca y oveja. Otros carbohidratos presentes en la leche de cabra son los oligosacáridos, glicopéptidos, glicoproteínas y nucleótidos (Park y col., 2007), pero sus funciones han sido muy poco estudiadas. 2.1.4. Vitaminas y minerales El contenido de macrominerales en la leche de cabra es mucho mayor que el de la leche humana, con cuatro y seis veces más calcio y fósforo, respectivamente. Comparativamente, la leche de cabra contiene más calcio, fósforo, potasio, magnesio y cloro, y menos sodio y azufre que la leche de vaca (Park y col., 2007). Debido a que las cabras convierten todo el β-caroteno en vitamina A, la leche de cabra presenta mayor cantidad de este compuesto y es mucho más blanca que la leche de vaca. También contiene más tiamina, riboflavina, niacina, vitamina C y vitamina D que la leche de vaca (Park y col., 2007). 36 INTRODUCCIÓN 2.2. Células somáticas Las células somáticas están presentes en la leche de todos los mamíferos, no tienen capacidad para multiplicarse y provienen del propio animal. Según su origen, se clasifican en dos grandes grupos: células de origen sanguíneo y células epiteliales. Normalmente estas células se encuentran en la glándula mamaria sana, aunque puede considerarse un indicador de inflamación y/o infección debido a que en estas situaciones se produce un incremento en el trasvase de leucocitos a la leche (Das y Singh, 2000). En muchos países se han establecido unos criterios de calidad para la leche de acuerdo a los requerimientos higiénicos, tecnológicos y sensoriales. Estos criterios forman parte de un sistema de pago que asegura la calidad de los productos finales. En los Estados Unidos, el límite legal en el recuento de células somáticas (RCS) establecido en leche de cabra por la FDA (Food and Drug Administration) es de 1 millón de células/ml. Sin embargo en la Unión Europea no hay límite para la leche de cabras y ovejas, como está dispuesto en los diferentes reglamentos, que establecen los criterios generales y específicos de higiene que deben cumplir los productos alimenticios (Paape y col., 2007). Algunos autores (Paape y col., 2007; Raynal-Ljutovac y col., 2007) han informado que los cabreros de Estados Unidos tienen dificultades para mantener el RCS en la leche de tanque por debajo del límite establecido. Como consecuencia, muchas granjas eliminan la leche que excede el límite, lo cual provoca importantes pérdidas económicas para el sector. El alto RCS puede ser causado por infección pero también por razones fisiológicas. En las ubres sanas de cabras, el RCS se incrementa progresivamente con la edad (Salama y col., 2003), durante la lactación (Gomes y col., 2006), además de fluctuaciones de un día para otro (Zeng y col., 1997), en la que intervienen factores como el celo (Mehdid y col., 2013) y el estrés (McDougall y col., 2002). Por tanto, la aplicación de un criterio para la evaluación de la calidad de la leche y para la detección de mastitis está sin resolver. En España ya hay algunas industrias queseras que están pagando la leche de cabra a los ganaderos según su composición química básica (grasa y proteína) así como en función de la calidad higiénico-sanitaria (microbiología, RCS), pudiendo aplicarse primas o penalizaciones, tal como se recoge en la homologación de contrato-tipo de suministro de leche de cabra con destino a su transformación en productos lácteos (Orden ARM/2387/2010, de 1 de Septiembre). 37 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 3. Factores que afectan al rendimiento y composición de la leche La cantidad de leche producida por una cabra y su composición tienen variaciones como consecuencia de un gran número de factores. Estos pueden actuar aisladamente oIntroducción en combinación. Clásicamente, los mencionados factores se han dividido en dos grupos, uno de carácter intrínseco, Factores intrínsecos atribuido3.1. al animal, y otro de carácter extrínseco, debido a las condiciones y circunstancias externas que actúan sobre él. 3.1.1. Raza e individuo La producción lechera caprina está condicionada por factores genéticos que 3.1. Factores intrínsecos influyen tanto sobre la cantidad (Figura 14) como en la calidad de la leche producida. 3.1.1. Raza e individuo SinLaembargo, las lechera diferentes condiciones de cría, alimentación, geográficos y tanto producción caprina está condicionada por factoresfactores genéticos que influyen sobreclimáticos la cantidad comoexpuestas en la calidad la leche razas, producida. embargo, las diferentes a (Figura las que14)están las de diferentes hacenSindifícil evaluar la condiciones de cría, alimentación, factores geográficos y climáticos a las que están expuestas las importancia de este factor, de tal manera que la mayoría de diferencias dentro de cabras diferentes razas, hacen difícil evaluar la importancia de este factor, de tal manera que la mayoría de diferencias dentroraza de cabras misma raza serrebaño explicadas por yelcol., efecto rebaño (Capote y de la misma pueden de serlaexplicadas porpueden el efecto (Capote 2000). col., 2000). Producción de leche (Kg) 4,0 3,0 Alpina 2,0 Nubia Saanen 1,0 Toggenburg 0,0 0 50 100 150 200 250 300 350 Días de lactación Figura 14. de Curvas de lactación de algunas alta producción. Improvement Programs Figura 14. Curvas lactación de algunas razas derazas alta de producción. (Animal(Animal Improvement Programs Laboratory, 2004). Laboratory, 2004). 38 más difundidas en el mundo tienen su Las cabras de alta producción lechera origen o se han seleccionado esencialmente en tres países: Suiza (Saanen y Toggenburg), Francia (Alpina) e Inglaterra (Anglonubia). Sobre estos animales se han INTRODUCCIÓN Las cabras de alta producción lechera más difundidas en el mundo tienen su origen o se han seleccionado esencialmente en tres países: Suiza (Saanen y Toggenburg), Francia (Alpina) e Inglaterra (Anglonubia). Sobre estos animales se han realizado una gran cantidad de estudios que abarcan la mayoría de los aspectos relacionados con los individuos y su explotación, destacando aquellos dedicados a la producción lechera (Brito y col., 2011; Garcia-Peniche y col., 2012). En los países, cuyas razas nativas son muy poco productivas, suele ser frecuente el cruzamiento con razas mejoradas (Kume y col., 2012; Sanogo y col., 2012). La discutible finalidad de estos cruzamientos es la de conservar las cualidades de rusticidad y adaptación al medio de las razas nativas pero mejorando la producción lechera y alargando el tiempo de lactación. La composición química de la leche también presenta grandes variaciones según la raza, ligadas al nivel de producción de leche. En este sentido, Garcia-Peniche y col. (2012) examinaron la composición de la leche en varias razas de alta producción durante 3 periodos (de 1976 a 1984, de 1985 a 1994, y de 1995 a 2005), y observaron incrementos en el porcentaje de proteína, el cual fue variable según las razas (7,4% en Toggenburg; 7,1% en Alpina; 6,5% en LaMancha; 5,6% en Anglonubia; 3,4% en Saanen). Sin embargo, sólo encontraron incrementos en el porcentaje de grasa en una raza (2,1% en Anglonubia). El estudio detallado de las variantes genéticas de la caseína as1 (Ambrosoli y col., 1988; Jordana y col., 1996) permitió realizar una nueva clasificación de las razas caprinas en función de sus frecuencias alélicas. Cabe destacar que la concentración de as1 se correlaciona positivamente con las propiedades de coagulación de la leche, y que nuevos trabajos genéticos están enfocados en la mejora de esta variable (Maga y col., 2009). Así como existe variabilidad entre razas en cuanto a producción y calidad de la leche, también existen variaciones entre animales de la misma raza, pudiendo incluso superar estas variaciones a las interraciales. 3.1.2. Estado y duración de la lactación La producción de leche no es constante a lo largo de toda la lactación. De manera general la producción aumenta hasta alcanzar el máximo pico de producción, luego desciende a medida que avanza la lactación. El aumento de la producción de leche hasta el pico de lactación parece ser debido a una mayor capacidad de síntesis de las células epiteliales mamarias, en lugar de un incremento 39 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias en el número de células secretoras (Capuco y col., 2001; Salama, 2005). Posteriormente, el descenso progresivo de la producción de leche, tras alcanzar el máximo, es asociado con una reducción en el contenido de ADN total del parénquima mamario, implicando una disminución en el número de células secretoras (Knight y Peaker, 1984; Capuco y col., 2001). La mayoría de las cabras sitúan su máxima producción entre la 3ª y 8ª semana de lactación (Salama, 2005). Así, se han obtenido valores de pico de lactación de 2,42 kg a los 45 días (León y col., 2012) en cabras Murciano-Granadina, de 2,48 kg a los 45 días en cabras Tinerfeñas (Capote y col., 2000), o de 2,54 kg a los 54 días en cruce de Toggenburg con razas locales de México (Montaldo y col., 1997). De acuerdo al Departamento de Agricultura de Estados Unidos, los máximos valores de producción alcanzados para cabras multíparas son de 4,63 kg a los 50 días en Saanen, 4,49 kg a los 40 días en Alpina, y de 3,67 kg a los 45 días en Oberhasli (Animal Improvement Programs Laboratory, 2004). En lo que respecta a la composición, el contenido de grasa sigue una evolución opuesta a la evolución de la producción de leche, es decir, una rápida disminución en el transcurso de las primeras semanas de lactación, a la que sigue un mínimo que se alcanza aproximadamente entre el final del 2º y el 6º mes de lactación, y posteriormente, un aumento lento y progresivo (Peris, 1994). Sin embargo, algunos autores no consiguieron observar diferencias de este componente entre las fases de lactación temprana, media o tardía (Capote y col., 2008). En cuanto a la proteína, la mayoría de los autores encontraron que permanece casi constante con pequeñas fluctuaciones alrededor de un valor medio (Peris, 1994; Hejtmankova y col., 2012). Finalmente, la evolución de la lactosa presenta un comportamiento inverso al de la grasa, es decir aumentando en la primera parte de la lactación y disminuyendo en la última (Park y col., 2007). 3.1.3. Edad y número de lactación Parece claro que la producción de leche es menor en cabras primíparas que en cabras multíparas (Goetsch y col., 2011). De hecho, las únicas diferencias significativas se han observado entre la primera y el resto de las lactaciones (Zeng y Escobar, 1995). Ello puede deberse a que entre la primera y segunda lactación los animales manifiestan una importante diferencia en el desarrollo corporal, más acentuada en cabras que se cubren precozmente de forma sistemática, como ocurre en las Islas Canarias (Capote y col., 2000), Por tanto, las cabras en primera lactación tienen menor volumen de ubre (Salama y col., 2004) y por tanto una menor cantidad de leche secretada por unidad de volumen 40 INTRODUCCIÓN en comparación con las cabras multíparas (Knight y Wilde, 1993). De esta forma, Zahraddeen y col. (2009) encontraron un incremento progresivo en el rendimiento lechero entre la 1ª y 3ª lactación en varias razas de cabras de doble propósito (Red Sokoto, Sahel y West African Dwarf). Mientras que Carnicella y col. (2008) y Mioc y col. (2008) encontraron un aumento en la producción de leche casi constante desde la 1ª hasta la 4ª lactación en cabras Maltesa, Saanen y Alpina. En cuanto a los componentes de la leche considerados de forma porcentual, algunos trabajos recientes señalaron que las concentraciones de grasa y proteína fueron similares entre los cinco primeros partos, pero fue menor en la 6ª lactación (Zeng y col., 2008), mientras que otros estudios habían observado previamente un incremento de la cantidad de grasa al mismo tiempo que el contenido de proteína disminuía al aumentar el número de lactaciones (Morand-Fehr y col., 1986). 3.1.4. Prolificidad La producción de leche de cabra puede verse influenciada por el tamaño de la camada (Figura 15). Delgado-Pertiñez y col. (2009) observaron una mayor cantidad de leche producida en cabras de raza Payoya con dos cabritos respecto a las de uno, durante las primeras 5 semanas después del parto, con independencia de los sistemas de lactancia y de ordeño. Sin embargo a partir de la semana 6 hasta la 30, las producciones fueron similares. Por tanto, el hecho de que las cabras con más de dos crías liberen cantidades superiores de lactógeno placentario durante la gestación, parece tener un mayor impacto sobre la posterior producción de leche, que las diferencias producidas por la estimulación de los cabritos al lactar (Goetsch y col., 2011). Figura 15. Cabra Majorera con una (izquierda) o dos (derecha) crías. (U.D. Producción Animal ULPGC). 41 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias En lo referente a la composición de la leche, algunos estudios observaron que la prolificidad influía sobre el porcentaje de proteína, si bien no había ningún efecto sobre la grasa (Peris y col., 1997). Sin embargo, en otros experimentos encontraron que las cabras que tenían dos cabritos, independientemente de su origen genético, presentaban una mayor concentración de grasa, proteína y lactosa (Zygoyiannis, 1994). 3.1.5. Estado sanitario Existen numerosos estudios que han demostrado que los procesos infecciosos en cabras provocan una disminución en la producción de leche, con un incremento en el RCS que afecta a la vida media de la leche destinada al consumidor (Zeng y Escobar, 1995; Huijps y col., 2008). Hay que tener en cuenta que durante la lactación ocurren cambios en el rendimiento lechero relacionados con procesos no infecciosos, los cuales pueden resultar en un efecto de concentración de las células somáticas (Paape y col., 2007; Goetsch y col., 2011). Por tanto, el aumento brusco del RCS al final de la lactación donde se produce un descenso en el rendimiento lechero, puede ser resultado de una mayor transferencia de células de origen sanguíneo a la leche, debido a una mayor actividad de factores relacionados con la involución de la glándula mamaria (Manlongat y col., 1998). 3.2. Factores extrínsecos 3.2.1. Alimentación La alimentación del ganado caprino no sólo influye en la cantidad de leche sino también en la calidad de la misma y por ende en la del queso (Pulina y col., 2008). Debido a la importancia de este factor (Figura 16), son numerosos los trabajos y revisiones bibliográficas realizadas a tal efecto (Min y col., 2005; Álvarez y col., 2007). Además, buena parte de ellos están dedicados a la búsqueda de alimentos alternativos, en general subproductos de la industria alimentaria (Azzaz y col., 2012; RomeroHuelva y col., 2012). 42 INTRODUCCIÓN Figura 16. Cabras Palmeras recibiendo una ración de concentrado durante el ordeño. (ICIA). Entre los componentes de la leche, la grasa es el más sensible a los cambios nutricionales del animal, siendo la fuente de forraje y los suplementos grasos los que afectan en mayor medida su cantidad y sobre todo su calidad (Sanz Sampelayo y col., 2007). El rango de variación de la proteína es más pequeño que el de grasa, sin embargo, parte de los estudios están enfocados en suplementos que puedan variar el contenido de αS1-caseína (Valenti y col., 2012). Muchas zonas de Canarias no tienen suficientes recursos para el pasturaje de los animales, lo cual ha ocasionado que las cabras en sistemas intensivos tengan raciones más ricas en alimentos concentrados y con menos porcentaje de fibra. Estas dietas afectan significativamente el contenido de grasa en la leche, además de causar muchos problemas de salud en el animal (Álvarez y col., 2007). Dicho problema no es fácil de resolver simplemente con la importación de forrajes, por los elevados costes de transporte, que perjudicaría directamente a los cabreros. 3.2.2. Sistema de producción Debido a que la dieta afecta la composición de la leche de cabra, los sistemas de producción afectan directamente estos parámetros, ya que los extensivos están basados en el pastoreo y ramoneo (Figura 17), mientras que los intensivos en la utilización de piensos y concentrados. Incluso, existen diferencias dentro de los mismos sistemas productivos. Por ejemplo, cuando se compararon 43 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias tres sistemas de producción caprina basados en pastos naturales de llanura, colinas y montaña, la producción de leche resultó ligeramente inferior en los pastos de montaña, pero su contenido de grasa y proteína, así como los porcentajes de ácidos grasos poliinsaturados fueron mayores respecto a los otros dos sistemas de manejo (Morand-Fehr y col., 2007). Figura 17. Cabras de pastoreo en la isla de La Palma. (ICIA). El tipo de especies forrajeras y de concentrados suministrados en la alimentación, también afecta la calidad de los quesos. Soryal y col. (2004) observaron una puntuación mayor en el sabor de los quesos elaborados con leche de cabras que pastaban sin concentrado suplementario en comparación con aquellas que estaban confinadas y cuya dieta estaba basada en concentrados comerciales y heno de alfalfa. En Canarias generalmente las cabras son explotadas en sistemas semi-extensivos, ya que el pastoreo forma parte importante de la ganadería tradicional. Algunos autores han señalado que al realizarse de forma controlada contribuye a la biodiversidad y al desarrollo sostenible de la región (Mata y col., 2010). 3.2.3. Factores climáticos Se ha señalado que las altas temperaturas, la incidencia de radiación solar y una humedad elevada, son factores condicionantes sobre los animales que afectan su nivel de producción (Sila- 44 INTRODUCCIÓN nikove, 2000a). Sin embargo, estos factores no afectan de igual manera a las distintas razas, ya que por ejemplo, las cabras de zonas templadas de Europa se ven más perjudicadas por las altas temperaturas que las cabras autóctonas de zonas cálidas de Asia, África y América del Sur (Gaughan y col., 2009). Por otro lado, aunque la alta producción lechera está relacionada con los recursos hídricos disponibles en la zona (Silanikove, 2000b), cabe destacar que las cabras están mejor adaptadas que las vacas y ovejas a los largos períodos de sequía y a las zonas áridas (Figura 18), llegando incluso a producir 2 litros de leche al día con restricción de agua si se alimentan adecuadamente (Maltz y col., 1982). Figura 18. Cabras de raza Majorera en la isla de Fuerteventura. (ICIA). 3.2.4. Condiciones de ordeño Aunque el ordeño mecánico está bastante generalizado en los países industrializados, aún existen muchas regiones donde el ordeño manual es frecuente. Existen pocos trabajos que comparen la producción y composición de la leche entre ambos métodos de ordeño. Aunque la estimulación manual mejora el vaciado de la ubre respecto al ordeño a máquina, no debería haber diferencias en cuanto a la producción siempre y cuando ambos métodos se realicen adecuadamente (Bruckmaier y Blum, 1998). En lo referente al RCS, algunos autores no han conseguido diferencias significativas entre el ordeño manual y el mecánico, aunque si un mayor recuento de bacterias en la leche del orde- 45 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias ño manual (Zeng y Escobar, 1996). Sin embargo, otros afirman que existe una importante variabilidad en el RCS, en lo referente al método de ordeño utilizado, con mayores recuentos durante el ordeño manual (Haenlein, 2002). Por otro lado, los parámetros y ajustes en la máquina de ordeño influyen considerablemente sobre la extracción de leche, tanto en términos de cantidad como de calidad. Así por ejemplo, se ha reportado que las condiciones óptimas de ordeño en cabras griegas se dan con una frecuencia de pulsación de 70-90 pulsos/min, una presión de succión entre 36-44 kPa y una relación de pulsación de 65:35 (Sinapis y col., 2000). En razas Alpina y Saanen, una alta frecuencia en la ordeñadora (90 y 120 pulsos/min y una relación de pulsación de 60:40) reduce el tiempo de ordeño, mientras que la baja frecuencia (60 pulsos/min y una relación de pulsación de 50:50) alarga el tiempo de ordeño y disminuye el flujo de leche (Billon y col., 2005). Además, si el nivel de vacío es muy alto, se produce un estrangulamiento de los pezones en las pezoneras disminuyendo el caudal de leche extraída y puede incidir en la aparición de mastitis, pero si el vacío es muy bajo, es muy frecuente la caída de las pezoneras ya que no succionan adecuadamente a los pezones de las cabras y por tanto retrasa el tiempo de ordeño (Marnet y McKusick, 2001). Cuando empezaron a implantarse las maquinarias de ordeño en las Islas Canarias, los ganaderos se quejaban de que esta práctica producía mastitis a las cabras. Sin embargo, las razones principales eran que no se manejaban unas adecuadas condiciones higiénicas, además de que las marcas proveedoras no se habían adaptado a las necesidades de esta especie, tanto en parámetros como en materiales. Hoy en día los ganaderos conocen la importancia de la máquina de ordeño, representado un grave problema si ésta sufre algún desperfecto o daño (Capote y col., 2010). En lo referente a la frecuencia de ordeño, en países como Francia, Suiza y Alemania que cuentan con una explotación caprina tecnificada, es habitual realizar dos ordeños al día, cuya eficacia está respaldada por numerosos estudios que otorgan un elevado incremento de las producciones lecheras. Así, en razas como Alpina y Saanen, las diferencias a favor del doble ordeño oscilaban entre un 26 y 45% (Mocquot y Auran, 1974; Wilde y Knight, 1990), aunque en trabajos más recientes dichas diferencias están alrededor del 16% (Komara y col., 2009). La totalidad de las ganaderías caprinas del Archipiélago Canario realizan un solo ordeño diario. Este hábito se vio favorecido por la costumbre de elaborar el queso justo después de haber ordeñado, debido a la imposibilidad de conservar la leche, lo cual implicaba una tarea exigente y difícil de realizar dos veces al día, y más si consideramos las grandes distancias que recorrían los cabreros 46 INTRODUCCIÓN en la búsqueda de zonas de pastoreo. Sin embargo, las mejoras tecnológicas producidas en el sector caprino en los últimos años con la proliferación de maquinaria de ordeño, tanques de refrigeración e industrias con circuito de recogida de la leche, suponía que la variación en la frecuencia de ordeño permitiría aumentar los rendimientos de los rebaños, pero los primeros estudios realizados en cabras Tinerfeñas consiguieron incrementos entre sólo el 6 y 8% (Capote y col., 2000). 4. Estructura anatómica y conformación de la glándula mamaria 4.1. Anatomía de la glándula mamaria caprina La ubre caprina, conformada por dos glándulas independientes, está situada en la región inguinal cubriendo la cara interna de los muslos y con una proyección desde atrás hacia adelante. Cada glándula mamaria está compuesta por una cisterna y una papila o pezón, y se separa de la otra por un surco intermamario. En las cabras, al igual que en el resto de las hembras con aptitud lechera, el desarrollo mamario constituye la base donde podrá proliferar el tejido secretor (Knight y Peaker, 1982). Cada complejo mamario se compone de diversos elementos funcionales responsables del proceso biosintético, almacenamiento y transporte de la leche (Figura 19): Figura 19. Vista lateral glándula mamaria caprina. A: parénquima mamario; b: porción cisternal del seno lactífero; c: porción papilar del seno lactífero; d: papila mamaria; e: nódulos linfáticos mamarios; f: conducto y orificio papilar; g: conductos lactíferos colectores. (Sandoval, 2003). 47 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 4.1.1. Parénquima glandular En el parénquima glandular o tejido noble se encuentran las unidades secretoras, o alvéolos, que presentan como característica primordial la presencia de un epitelio secretor que delimita internamente el lumen donde se deposita la leche secretada por la células. Exteriormente cada alvéolo presenta una compleja red de capilares arteriales y venosos que están en íntimo y estrecho contacto con el epitelio basal (Constantinescu y Constantinescu, 2010). Los alvéolos agrupados en racimos, lobulillos y lóbulos, son vaciados por pequeños canalículos que confluyen para formar conductos de mayor tamaño, llamados canales galactóforos, los que a su vez convergen en estructuras de mayor diámetro interno, con límites más difusos denominados cisternas de la mama (Ferrando y Boza, 1990). Finalmente este sistema de conducción se comunica con una cisterna del pezón, ubicada en este último y cuyo volumen varía según el tamaño del pezón. El interior de la papila mamaria presenta una mucosa muy plegada para evitar el flujo espontáneo de leche al exterior así como la penetración de agentes patógenos, y una concentración de fibras musculares que contienen numerosas terminaciones nerviosas y vasos sanguíneos (Suárez-Trujillo y col., 2013). Otro elemento anatómico funcional de importancia lo constituyen las células mioepiteliales que envuelven externamente a los alveolos y que por ser fibras musculares lisas responden activamente a las descargas de oxitocina, permitiendo un correcto vaciamiento de la leche acumulada en las estructuras no cisternales (Bruckmaier y Blum, 1998). 4.1.2. Sistema suspensorio El aparato suspensorio de la ubre lo conforma una red de fibras de naturaleza elástica y fibrosa, procedentes de la pared ventral del abdomen, que penetran en el parénquima mamario a diferentes niveles, evitando que los cuerpos glandulares graviten directamente sobre la piel que los envuelve (Suárez-Trujillo y col., 2013). La proporción de tejido glandular y de tejido de sostén presenta una buena caracterización de una glándula mamaria en cuanto a su mayor o menor capacidad productiva. Así una glándula con una gran cantidad de tejido de sostén presentará un aspecto exterior con escasa variación antes o después del ordeño, mientras que una glándula rica en tejido noble presentará un aspecto muy retraído después del ordeño (Ferrando y Boza, 1990). 48 INTRODUCCIÓN 4.1.3. Sistema circulatorio y linfático Para poder sintetizar la leche, debe circular por la ubre una enorme cantidad de sangre, ya que se requiere una elevada proporción de nutrientes para que las células secretoras la produzcan. Así mismo, las células alveolares requieren tiempo para la captura de estos nutrientes, por lo que un paso de sangre a alta velocidad no resolvería el problema. Para que la secreción láctea se lleve a cabo eficientemente, el aporte sanguíneo se ralentiza a nivel alveolar como consecuencia del enorme desarrollo del sistema venoso de la ubre, encontrándose alrededor de las mamas, ricas redes capilares conectadas con amplios plexos venosos por los que la sangre circula muy lentamente (Ferrando y Boza, 1990). También cabe destacar la existencia de una gran representación linfática, destacando los ganglios linfáticos mamarios que actúan como linfocentros, y que desempeñan un importante papel como barrera defensiva frente a las infecciones que puedan afectar a la ubre (Constantinescu y Constantinescu, 2010). 4.2. Morfología de la ubre de las razas canarias La morfología de la ubre es un importante parámetro en la ganadería caprina por su contribución en la producción de leche y la aptitud de ésta para el ordeño mecanizado. Los parámetros más utilizados en la definición de la morfología de la ubre son: profundidad y volumen de la ubre, morfología del pezón (longitud, anchura, ángulo de implantación y situación antero-posterior), y altura de las cisternas mamarias (Figura 20). Una morfología de ubre adecuada es muy importante para una buena adaptación del animal a la máquina de ordeño, ya que puede evitar algunos efectos indeseables, como por ejemplo la inhibición del reflejo de eyección láctea, o la caída de pezoneras que conllevaría un mayor tiempo de ordeño (Barillet, 2007). Peris (1994) al estudiar la aptitud al ordeño mecánico de cabras MurcianoGranadina, describió que existe una gran heterogeneidad en los criterios metodológicos y las medidas morfológicas evaluadas, así como en el estado de lactación utilizado por cada autor para evaluar la aptitud al ordeño. 49 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Figura 20. Medidas morfológica de la ubre. DEP: distancia entre pezones; ACS: altura cisterna-suelo; APS: altura pezónsuelo; AIUS: altura inserción-suelo; PU: profundidad ubre. (U.D. Producción Animal ULPGC). La morfología de la ubre ha sido descrita en las principales razas lecheras: Saanen y Alpina (Manfredi y col., 2001), Toggenburg (Wang, 1989), Murciano-Granadina (Peris y col., 1999). En los trabajos se describen distintas formas de ubres: redondeadas o globosas, ovales, piriformes, pendulares o planas. También diferentes tipos de pezón: cónicos, cilíndricos, en forma de botella o bulbosos, pequeños, o voluminosos. En el caso de la razas canarias, la ubre se caracteriza porque la altura del pezón es mayor que la altura del fondo de cisterna en un gran número de animales (Figura 21), una circunstancia negativa en el momento del ordeño, ya que es necesaria la intervención manual para levantar la ubre y extraer la porción de leche que hay debajo del pezón, lo cual incrementa el tiempo de ordeño (Capote y col., 2008). 50 INTRODUCCIÓN Figura 21. Típica ubre de las cabras canarias. (U.D. Producción Animal ULPGC). Algunos autores han señalado que la selección genética para mejorar la producción lechera llevada a cabo en las últimas décadas, ha producido efectos indeseables en la morfología mamaria, como la tendencia de que las ubres tengan ubicados los pezones más horizontalmente para incrementar la capacidad cisternal pero que trae como consecuencia una menor ordeñabilidad de los animales (Marnet y McKusick, 2001; Barillet, 2007). 5. Fisiología de ordeño El inicio masivo de la secreción láctea corresponde al momento del parto en que se produce un cambio hormonal importante, con el descenso en el nivel de la progesterona y un incremento de estrógenos, prolactina, y glucocorticoides (Davis y col., 1979). La lactogénesis comprende la síntesis intracelular de la leche y su posterior transferencia desde el citoplasma hacia el lumen alveolar. El componente de base del tejido secretor es el alvéolo, envuelto por una capa de células mioepiteliales que ayudan en la contracción de los alvéolos por efecto de la oxitocina, produciendo la expulsión de la leche hacia los conductos galactóforos. Este proceso neurohormonal es provocado por estímulos como el amamantamiento de la cría o el proceso de ordeño (Park y Haenlein, 2010). Las terminaciones nerviosas del pezón están conectadas con el sistema nervioso central y el hipotálamo a través de las raíces dorsales de los nervios lumbares de la médula espinal. Cuando un estímulo alcanza el sistema nervioso central provoca que el lóbulo posterior de la hipófisis libere 51 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias oxitocina. La oxitocina viaja a través del flujo de sangre hasta la glándula mamaria, donde causa la contracción de las células mioepiteliales (Figura 22) (Bruckmaier y Blum, 1998). Figura 22. Esquema de eyección de leche en cabras. (Caja, 2003). 5.1. Efectos de la oxitocina sobre la eyección de leche La oxitocina es un neuropéptido responsable de la eyección de la leche, con el consecuente vaciado de la ubre. Dependiendo del grado de estimulación de la glándula mamaria, se producen diferentes respuestas en la liberación de oxitocina. De esta forma, el amamantamiento de la cría es un estímulo más potente que el ordeño, mientras que el ordeño manual induce una liberación más pronunciada de oxitocina que el ordeño a máquina (Bruckmaier y Blum, 1998). Además, la estimulación previa al ordeño es importante en algunas especies como el ganado bovino porque aumenta los niveles de oxitocina y promueve la inducción temprana de eyección de la leche para evitar una interrupción del flujo de leche durante el ordeño, sin embargo en cabras no es tan importante esta estimulación previa por el gran volumen de leche almacenado en la cisterna, y que está disponible en el momento del ordeño (Bruckmaier y Wellnitz, 2008). El proceso de eyección de leche en cabras, en respuesta a la oxitocina, es similar al de vacas y ovejas, pero la extracción de la leche es diferente debido a la morfología de la ubre (Bruckmaier y Blum, 1998). En cabras, la liberación de oxitocina es altamente variable en el mismo animal y entre diferentes individuos de la misma raza, siendo fácilmente inducida por estimulación táctil previa o por la máquina de ordeño (Bruckmaier y Blum, 1998; Marnet y McKusick, 2001). 52 INTRODUCCIÓN 5.2. Efectos de la administración de oxitocina exógena sobre la producción de leche Aunque existen numerosos informes de que la administración exógena de oxitocina en el momento del ordeño puede aumentar la producción de leche, hay contradicciones en la literatura con respecto a sus efectos sobre el rendimiento lechero y calidad de la leche. Éstos se deben principalmente a diferencias en la metodología y diseño experimental, que van desde el número de animales utilizados, estado de lactación, inyección seguida de remoción de leche o no, inyección administrada con las ubres llenas o vacías, y dosis de oxitocina administrada (Lollivier y col., 2002). La administración de dosis intravenosas entre 0,1 y 1 UI de oxitocina puede inducir la bajada de la leche en cabras, ya que sólo es necesario rebasar un umbral mínimo de concentración de oxitocina para iniciar el proceso (Schams y col., 1984). Sin embargo, en la mayoría de los trabajos experimentales, los investigadores han utilizado dosis con cantidades suprafisiológicas (Lollivier y col., 2002). En vacas, se ha reportado que la administración exógena de oxitocina es una terapia eficaz contra la mastitis (Macuhova y col., 2004). Sin embargo no se han encontrado cambios aparentes en el sistema inmune por los tratamientos con oxitocina, aunque las inyecciones en cantidades suprafisiológicas pueden ayudar en la eliminación de microorganismos patógenos debido a un completo vaciado de la ubre (Werner-Misof y col., 2007). Adicionalmente, algunos estudios confirman una reducción en la eyección espontanea de leche después de retirar los tratamientos crónicos de oxitocina, lo cual puede deberse a una disminución de la oxitocina liberada desde la hipófisis, o por una reducción en la contractibilidad de las células mioepiteliales a niveles fisiológicos de oxitocina en sangre (Bruckmaier, 2003). 6. Fraccionamiento lechero En el instante del ordeño, se considera que la leche se encuentra almacenada en la ubre en dos niveles bien diferenciados (fracciones de ubre), o como se obtiene durante una rutina de ordeño completa (fracciones de ordeño). 53 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 6.1. Fracciones de ubre 6.1.1. Leche cisternal Cierta cantidad de leche está contenida en la cisterna o seno glandular. La especial estructuración anatómica de la glándula mamaria del caprino, que incluye la presencia de grandes cisternas (Figura 23), permite que buena parte del contenido de leche almacenada en el interior de la glándula pueda ser evacuada en forma pasiva, es decir, sin un proceso de contracción (Bruckmaier y Blum, 1998). Figura 23. La ubre caprina canaria destaca por sus grandes cisternas. (U.D. Producción Animal ULPGC). 6.1.2. Leche alveolar Una parte de la leche se acumula en los alvéolos y en la red de canales y conductos (Figura 24), y está fijada por fuerzas capilares. Para su obtención se precisa de la participación activa del animal, a través de la puesta en marcha del mecanismo de eyección de leche (Bruckmaier y Wellnitz, 2008). 54 INTRODUCCIÓN Figura 24. Representación de la expulsión de la leche contenida en los alveolos. (Schmidt, 1971). El reparto entre la leche cisternal y alveolar se determinaba mediante el uso de una cánula que se introducía por el esfínter del pezón y permitía el drenaje de la leche cisternal (Peaker y Blatchford, 1988). No obstante, esta técnica puede sobreestimar el volumen de leche cisternal, ya que algunas razas son muy sensibles a la liberación espontánea de oxitocina endógena, como consecuencia de reflejos condicionados al ordeño o como resultado de la manipulación del pezón. Por ello, las nuevas técnicas incluyen el uso de un antagonista de los receptores de oxitocina para bloquear la eyección espontánea de leche (Wellnitz y col., 1999). 6.2. Fracciones de ordeño 6.2.1. Leche de máquina El fraccionamiento obtenido durante el ordeño mecánico permite diferenciar una porción de leche recogida desde la colocación de las pezoneras hasta el cese de flujo de leche sin intervención alguna por parte del ordeñador (Figura 25). 6.2.2. Leche de apurado a máquina La morfología de ubre de muchas razas caprinas hace necesario realizar un masaje de las regiones cisternales y alzar el ligamento suspensorio por parte del ordeñador, antes de la retirada de las pezoneras, para favorecer la remoción de la leche contenida debajo de los pezones (Figura 25). 55 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 6.2.3. Leche residual La leche total contenida en la glándula mamaria difícilmente se puede extraer en su totalidad por medios mecánicos o manuales, puesto que una parte sólo puede ser extraída por mecanismos hormonales. Así pues, mediante una inyección de oxitocina se extrae la fracción retenida en el tejido mamario, y aunque no se considera propiamente como una fracción de ordeño, permite expresar el grado de vaciado de la ubre conseguido por medio del ordeño mecánico. Figura 25. Fracción de leche de máquina (izquierda) y de apurado a máquina (derecha). (ICIA). Por consiguiente, las cabras con mejor adaptación a la máquina de ordeño serán aquellas que presenten una mayor cantidad de leche de máquina, y menor volumen de leche de apurado y residual, lo que implica una reducción en el tiempo dedicado al ordeño. Sin embargo, en las explotaciones ganaderas, hay una tendencia centrada en reducir el número de operaciones durante el ordeño, omitiendo el apurado a máquina (McKusick y col., 2003). Por otro lado, se ha señalado la importancia de la morfología de ubre sobre las fracciones de ordeño, destacando la red canalicular, la altura de las cisternas mamarias y el ángulo de inclinación de los pezones (Le Du, 1985), habiéndose resaltado también que las ubres globosas son más fáciles de ordeñar que las ubres descendidas (Capote y col., 2006). Además, la frecuencia de ordeño afecta especialmente la fracción de apurado a máquina, donde el doble ordeño incrementa significativa- 56 INTRODUCCIÓN mente los porcentajes en las cabras Tinerfeñas, debido al hecho de tener que realizar esta labor dos veces para un correcto vaciado de la ubre (Capote y col., 2009). De forma general, los valores de reparto de leche durante el ordeño en caprino se sitúan entre 61 a 90% para leche de máquina, 10 a 23% para leche de apurado a máquina y un 10 a 17% para la leche residual (Capote y col., 2000). Por otra parte, la fracción de leche de máquina es la que más disminuye a lo largo de la lactación, siguiendo una evolución paralela a la leche total ordeñada, e inversa al de la leche de apurado a máquina, en donde la leche residual permanece más o menos estable, pero existiendo una alta variabilidad entre individuos (Peaker y Blatchford, 1988; Capote y col., 2008). Díaz y col (2013) estudiaron los niveles de cortisol sobre el fraccionamiento lechero en cabras Murciano-Granadina y no encontraron correlación entre éstos con el volumen de leche de apurado a máquina y el tiempo total de ordeño, por lo que las variaciones de esta hormona pueden estar asociadas a factores fisiológicos en el animal y no necesariamente al estrés. En general, estas fracciones tienden a mantener un volumen constante a medida que los animales se adaptan a la máquina de ordeño (Rovai, 2001). 57 BIBLIOGRAFÍA Bibliografía Álvarez S, Fresno M, Méndez P, Castro N, Fernández J, & Sanz Sampelayo M. 2007. Alternatives for improving physical, chemical, and sensory characteristics of goat cheeses: the use of aridland forages in the diet. Journal of Dairy Science, 90: 2181–2188. Ambrosoli R, Di Stasio L, & Mazzocco P. 1988. Content of alpha S1-casein and coagulation properties in goat milk. Journal of Dairy Science, 71: 24–28. Amills A, Capote J, Tomàs A, Kelly L, Obexer-Ruff G, Angiolillo A, & Sánchez A. 2004. Strong phylogeographic relationships among three goat breeds from the Canary Islands. Journal of Dairy Research, 71: 257–262. Animal Improvement Programs Laboratory. 2004. Estimated goat lactation curves. http://aipl.arsusda. gov/reference/goat/laccurv.htm. Azzaz H, Kholif A, Murad H, Hanfy M, & Abdel Gawad M. 2012. Utilization of cellulolytic enzymes to improve the nutritive value of banana wastes and performance of lactating goats. Asian Journal of Animal and Veterinary Advances, 7: 664–673. Barillet F. 2007. Genetic improvement for dairy production in sheep and goats. Small Ruminant Research, 70: 60–75. Billon P, Marnet P, & Maugras J. 2005. Influence of pulsation parameters on milking and udder health of dairy goats. En: Proceedings of the International Conference in Physiological and Technical Aspects of Machine Milking, 137–146. Nitra, Eslovaquia. Boulanger A, Grosclaude F, & Mahé M. 1984. Polymorphisme des caséines αs1 et αs2 de la chèvre (Capra hircus). Genetics Selection Evolution, 16: 157–176. Boyazoglu J, & Morand-Fehr P. 1987. Systems of goat production and the enviroment. En: Proceedings of the IV International Conference on Goats, 8–13. Brasilia, Brasil. Brito L, Silva F, Melo A, Caetano G, Torres R, Rodrigues M, & Menezes G. 2011. Genetic and environmental factors that influence production and quality of milk of Alpine and Saanen goats. Genetics and Molecular Research, 10: 3794–3802. Bruckmaier R. 2003. Chronic oxytocin treatment causes reduced milk ejection in dairy cows. Journal of Dairy Research, 70: 123–126. Bruckmaier R, & Blum J. 1998. Oxytocin release and milk removal in ruminants. Journal of Dairy Science, 81: 939–949. Bruckmaier R, & Wellnitz O. 2008. Induction of milk ejection and milk removal in different production systems. Journal of Animal Science, 86: 15–20. 59 BIBLIOGRAFÍA Caja, G. 2003. Producción de leche y ordeño de caprino. Universidad Autónoma de Barcelona. http:// goo.gl/CE1W8. Capote J. 1985. La Agrupación Caprina Canaria. En: Libro de Actas del I Simposio Internacional de la Explotación Caprina en Zonas Áridas, 17–29. Fuerteventura, España. Capote J, Delgado JV, Camacho E, Darmanin N, & Fresno M. l993. La ganadería tradicional en la isla de La Palma: Razas Autóctonas. Actas del I Encuentro Geografía e Historia del Arte, Cabildo Insular de La Palma. Tomo III, 160–172. Capote J, Delgado JV, Fresno M, Camacho M, & Molina A. 1998. Morphological variability in the Canary goat population. Small Ruminant Research, 27: 167–172. Capote J, López JL, & Caja G. 2000. El ordeño en las cabras canarias. Ediciones La Palma, Madrid, España, 257 pp. Capote J, Argüello A, Castro N, López J, & Caja G. 2006. Correlations between udder morphology, milk yield, and milking ability with different milking frequencies in dairy goats. Journal of Dairy Science, 89: 2076–2079. Capote J, Castro N, Caja G, Fernández G, Briggs H, & Argüello A. 2008. Effects of the frequency of milking and lactation stage on milk fractions and milk composition in Tinerfeña dairy goats. Small Ruminant Research, 75: 252–255. Capote J, Castro N, Caja G, Fernandez G, Morales-delaNuez A, & Argüello A. 2009. The effects of the milking frequency and milk production levels on milk partitioning in Tinerfeña dairy goats. Milchwissenschaft, 64: 239–241. Capote J, Torres A, Castro N, Morales-delaNuez A, Moreno-Indias I, Hernández-Castellano L, & Argüello A. 2010. Algunos aspectos diferenciales en el ordeño de las cabras canarias. Revista Agropalca, 11: 22. Capote J, Álvarez S, Fresno M, Méndez P, & Reig M. 2012. Adaptación de las cabras canarias en el árido Subsahariano. Revista Agropalca, 17: 34. Capuco A, Wood D, Baldwin R, Mcleod K, & Paape M. 2001. Mammary cell number, proliferation, and apoptosis during a bovine lactation: relation to milk production and effect of bST. Journal of Dairy Science, 84: 2177–2187. Carnicella D, Dario M, Ayres M, Laudadio V, & Dario C. 2008. The effect of diet, parity, year and number of kids on milk yield and milk composition. Small Ruminant Research, 77: 71–74. Castel J, Ruiz F, Mena Y, & Sánchez-Rodríguez M. 2010. Present situation and future perspectives for goat production systems in Spain. Small Ruminant Research, 89: 207–210. Chilliard YR, Ferlay A, Bernard L, Gaborit P, Raynal-Ljutovac K, Lauret A, & Leroux C. 2006. Optimising goat’s milk and cheese fatty acid composition. En: Improving the Fat Content of Foods. Williams 60 BIBLIOGRAFÍA C, & Buttriss J. (Eds.) Woodhead Publishing LTD, Cambridge, UK, 281–312. Constantinescu G, & Constantinescu I. 2010. Functional anatomy of the goat. En: Goat Science and production. Solaiman S. (Ed.) Blackwell Publishing, Iowa, USA, 89–137. Das M, & Singh M. 2000. Variation in blood leucocytes, somatic cell count, yield and composition of milk of crossbred goats. Small Ruminant Research, 35: 169–174. Davis A, Fleet I, Goode J, Hamon M, Walker F, & Peaker M. 1979. Changes in mammary function at the onset of lactation in the goat: correlation with hormonal changes. The Journal of Physiology, 288: 33–44. Delgado-Pertiñez M, Guzmán-Guerrero J, Caravaca F, Castel J, Ruiz F, González-Redondo P, Alcalde MJ. 2009. Effect of artificial vs. natural rearing on milk yield, kid growth and cost in Payoya autochthonous dairy goats. Small Ruminant Research, 84: 108–115. Devendra C. 1987. Herbivores in the arid and wet tropics. En: The Nutrition of Herbivores. Hacker J, & Ternouth J. (Eds.) Academic Press, Sidney, Australia, 23–46. Díaz J, Alejandro M, Romero G, Moya F, & Peris C. 2013. Variation in milk cortisol during lactation in Murciano-Granadina goats. Journal of Dairy Science, 96: 897–905. Dubeuf J. 2005. Structural, market and organizational conditions for developing goat production systems. Small Ruminant Research, 60: 67–74. Esteban-Muñoz C. 2008. Razas Ganaderas Españolas Caprinas. Ediciones FEAGAS, Madrid, España, 410 pp. FAOSTAT. 2011. Food and Agriculture Organization of the United Nations. http://faostat.fao.org. Fernández H, Hughes S, Vigne J, Helmer D, Hodgins G, Miquel C, Hänni C, Luikart G, & Taberlet P. 2006. Divergent mDNA lineages of goats in an early Neolithic site, far from the initial domestication areas. Proceedings of the National Academy of Sciences of the United States of America, 103: 15375–15379. Ferrando G, & Boza J. 1990. Lactación de la cabra y los factores que la regulan. Anales Academia de Ciencias Veterinarias de Andalucía Oriental, 2: 49–77. Fresno M. 1993. Estudio de la producción láctea en la Agrupación Caprina Canaria. Tesis Doctoral. Universidad de Córdoba, España, 168 pp. Fresno M, Capote J, Camacho E, Darmanin N, & Delgado JV. 1992. The Canary Islands breeds: past, present and future. Archivos de Zootecnia, 41: 513–518. Fresno M, & Álvarez S. 2007. Análisis sensorial de los quesos de cabra de pasta prensada. Manual de cata para el queso Majorero DOP y Palmero DOP. Instituto Canario de Investigaciones Agrarias, La Laguna, España, 225 pp. 61 BIBLIOGRAFÍA Fresno M, Rodríguez A, Escudero A, González R, Calero P, Menéndez S, Hernández A, López-Gayol, M, Álvarez, S. 2008. ¿Es posible elaborar quesos de leche cruda sin riesgos sanitarios? Ejemplo de los quesos Majoreros y Palmeros. En: Libro de Actas del IX Simposio Iberoamericano sobre la conservación y utilización de recursos zoogenéticos, 393–395. Mar de Plata, Argentina. Le Du J. 1985. Functional parameters affecting the efficiency of milking machine adapted to sheep and goat. En: Proceedings of the 36th Annual Meeting of the European Association for Animal Production, 430–431. Kallithea, Grecia. Galal S. 2005. Biodiversity in goats. Small Ruminant Research, 60: 75–81. Garcia-Peniche T, Montaldo H, Valencia-Posadas M, Wiggans G, Hubbard S, Torres-Vázquez J, Shepard L. 2012. Breed differences over time and heritability estimates for production and reproduction traits of dairy goats in the United States. Journal of Dairy Science, 95: 2707–2717. Gaughan J, Lacetera N, Valtorta S, Khalifa H, Hahn L, & Mader T. 2009. Response of domestic animals to climate challenges. En: Biometeorology for Adaptation to Climate Variability and Change. Ebi K, Burton I, & McGregor G. (Eds.) Springer-Verlag Publisher, Berlín, Alemania, 131-170. Goetsch A, Zeng S, & Gibson T. 2011. Factors affecting goat milk production and quality. Small Ruminant Research, 101: 55–63. Gomes V, Della-Libera A, Paiva M, Madureira K, & Pereira-Araujo W. 2006. Effect of the stage of lactation on somatic cell counts in healthy goats (Caprae hircus) breed in Brazil. Small Ruminant Research, 64: 30–34. Haenlein G. 2002. Relationship of somatic cell counts in goat milk to mastitis and productivity. Small Ruminant Research, 45: 163–178. Hejtmankova A, Pivec V, Trnkova E, & Dragounova H. 2012. Effect of the lactation stage on concentration of whey proteins in caprine acid whey. Small Ruminant Research, 105: 206–209. Huijps K, Lam T, & Hogeveen H. 2008. Costs of mastitis: facts and perception. Journal of Dairy Research, 75: 113–120. Instituto Canario de Estadística. 2010. http://www.gobiernodecanarias.org/istac/. Jordana J, Amills M, Diaz E, Angulo C, Serradilla J, & Sanchez A. 1996. Gene frequencies of caprine αs1-casein polymorphism in Spanish goat breeds. Small Ruminant Research, 20: 215–221. Knight C, & Peaker M. 1982. Development of mammary gland. Journal of Reproduction and Fertility, 65: 521–536. Knight C, & Peaker M. 1984. Mammary development and regression during lactation in goats in relation to milk secretion. Quarterly Journal of Experimental Physiology, 69: 331–338. Knight C, & Wilde C. 1993. Mammary cell changes during pregnancy and lactation. Livestock Production Science, 35: 3–19. 62 BIBLIOGRAFÍA Komara M, Boutinaud M, Ben Chedly H, Guinard-Flament J, & Marnet P. 2009. Once-daily milking effects in high-yielding alpine dairy goats. Journal of Dairy Science, 92: 5447–5455. Kume K, Papa L, & Hajno L. 2012. Effects on milk production in F-1 crossbred of Alpine goat breed (male) and Albanian goat breed (female). Italian Journal of Animal Science, 11: 258–261. Le Du J. 1985. Functional parameters affecting the efficiency of milking machine adapted to sheep and goat. En: Proceedings of the 36th Annual Meeting of the European Association for Animal Production, Kallithea, Grecia, pp. 430–431. EAAP. León J, Macciotta N, Gama L, Barba C, & Delgado H. 2012. Characterization of the lactation curve in Murciano-Granadina dairy goats. Small Ruminant Research, 107: 76–84. Lollivier V, Guinard-Flament J, Ollivier-Bousquets M, & Marnet P. 2002. Oxytocin and milk removal: two important sources of variation in milk production and milk quality during and between milkings. Reproduction Nutrition Development, 42, 173–186. Macuhova J, Tancin V, & Bruckmaier R. 2004. Effects of oxytocin administration on oxytocin release and milk ejection. Journal of Dairy Science, 87: 1236–1244. Maga E, Daftari P, Kueltz D, & Penedo M. 2009. Prevalence of alpha (s1)-casein genotypes in American dairy goats. Journal of Animal Science, 87: 3464–3469. MAGRAMA. 2011. Ministerio de Agricultura Alimentación y Medio Ambiente. http://www.magrama. gob.es. Maltz E, Silanikove N, & Shkolnik A. 1982. Energy cost and water requirement of black Bedouin goats at different levels of production. The Journal of Agricultural Science, 98: 499–504. Manfredi E, Piacere A, Lahaye P, & Ducrocq V. 2001. Genetic parameters of type appraisal in Saanen and Alpine goats. Livestock Production Science, 70: 183–189. Manlongat N, Yang T, Hinckley L, Bendel R, & Krider H. 1998. Physiologic-chemoattractant-induced migration of polymorphonuclear leukocytes in milk. Clinical and Vaccine Immunology, 5: 375–381. Marnet P, & McKusick B. 2001. Regulation of milk ejection and milkability in small ruminants. Livestock Production Science, 70: 125–133. Martínez A, Acosta J, Vega-Plá J, & Delgado JV. 2006. Analysis of the genetic structure of the canary goat populations using microsatellites. Livestock Science, 102: 140–145. Mata J, Bermejo L, de Nascimento L, & Camacho A. 2010. The problem of grazing planning in a nonequilibrated environment, from the analytical procedure toward the system approach. Small Ruminant Research, 89: 91–101. McDougall S, Anniss FM, & Cullum A. 2002. Effect of transport stress on somatic cell counts in dairy goats. Proceedings of the New Zealand of Animal Production, 62: 16–18. 63 BIBLIOGRAFÍA McKusick BC, Thomas DL, & Berger YM. 2003. Effect of omission of machine stripping on milk production and parlor throughput in East Friesian dairy ewes. Journal of Dairy Science, 86: 680–687. Mehdid A, Díaz JR, Martí A, Vidal G, & Peris C. 2013. Effect of estrus synchronization on daily somatic cell count variation in goats according to lactation number and udder health status. Journal of Dairy Science, 96: 4368–4374. Min B, Hart S, Sahlu T, & Satter L. 2005. The effect of diets on milk production and composition, and on lactation curves in pastured dairy goats. Journal of Dairy Science, 88: 2604–2615. Mocquot JC, & Auran T. 1974. Effets de différentes fréquences de traite sur la production laitière des caprins. Annales de Génétique et de Sélection Animale, 6: 463–476. Mioc B, Prpic Z, Vnucec I, Barac Z, Susic V, Samarzija D, & Pavic V. 2008. Factors affecting goat milk yield and composition. Mljekarstvo, 58: 305–313. Montaldo H, Almanza A, & Juárez A. 1997. Genetic group, age and season effects on lactation curve shape in goats. Small Ruminant Research, 24: 195–202. Morand-Fehr P, Blanchart G, Le Mens P, Remeuf F, Sauvant D, Lenoir J, Lamberet G, Le Jauoen, JC, & Bas P. 1986. Donnée recentes sur la composition du lait de chévre. Journées de la Recherche Ovine et Caprine, 11: 253–298. Morand-Fehr P, Fedele V, Decandia M, & Le Frileux Y. 2007. Influence of farming and feeding systems on composition and quality of goat and sheep milk. Small Ruminant Research, 68: 20–34. Mowlen A. 2005. Marketing goat dairy produce in the UK. Small Ruminant Research, 60: 207–213. Paape M, Wiggans G, Bannerman D, Thomas D, Sanders A, Contreras A, Moroni P, & Miller, R. 2007. Monitoring goat and sheep milk somatic cell counts. Small Ruminant Research, 68: 114–125. Park Y. 2006. Goat milk—chemistry and nutrition. En: Handbook of Milk of Non-bovine Mammals. Park Y, & Haenlein G. (Eds.) Blackwell Publishing, Oxford, UK, 34–58. Park Y. 2007. Rheological characterisitics of goat and sheep milk. Small Ruminant Research, 68: 73–87. Park Y, Juárez M, Ramos M, & Haenlein G. 2007. Physico-chemical characteristics of goat and sheep milk. Small Ruminant Research, 68: 88–113. Park Y, & Haenlein G. 2010. Milk production. En: Goat Science and Production. Solaiman S. (Ed.) Blackwell Publishing, Iowa, USA, 275-292. Peaker M, & Blatchford D. 1988. Distribution of milk in the goat mammary gland and its relation to the rate and control of milk secretion. Journal of Dairy Research, 55: 41–48. Peris S. 1994. Características de la curva de lactación y aptitud al ordeño mecánico de la cabra de raza Murciano-Granadina. Tesis Doctoral. Universidad Autónoma de Barcelona, España, 149 pp. 64 BIBLIOGRAFÍA Peris S, Caja C, Such X, Casals R, Ferret A, & Torre C. 1997. Influence of kid rearing systems on milk composition and yield of Murciano-Granadina dairy goats. Journal of Dairy Science, 80: 3249–3255. Peris S, Caja G, & Such X. 1999. Relationships between udder and milking traits in Murciano-Granadina dairy goats. Small Ruminant Research, 33: 171–179. Pirisi A, Lauret A, & Dubeuf J. 2007. Basic and incentive payments for goat and sheep milk in relation to quality. Small Ruminant Research, 68: 167–178. Pulina G, Nudda A, & Battacone G. 2008. Nutrition and quality of goat’s milk. En: Dairy Goats Feeding and Nutrition. Pulina G, & Cannas A. (Eds.) CAB International, Bolonia, Italia, 1–30. Ramírez M. 2009. Guía de los quesos españoles. Publicaciones Técnicas Alimentarias, Madrid, España, 253 pp. Rancourt M, Fois N, Lavín M, Tchakérian E, & Vallerand F. 2006. Mediterranean sheep and goats production: An uncertain future. Small Ruminant Research, 62: 167–179. Raynal-Ljutovac K, Pirisi A, de Crémoux R, & Gonzalo C. 2007. Somatic cells of goat and sheep milk: Analytical, sanitary, productive and technological aspects. Small Ruminant Research, 68: 126– 144. Ribeiro A, & Ribeiro S. 2010. Specialty products made from goat milk. Small Ruminant Research , 89: 225–233. Romero-Huelva M, Ramos-Morales E, & Molina-Alcaide E. 2012. Nutrient utilization, ruminal fermentation, microbial abundances, and milk yield and composition in dairy goats fed diets including tomato and cucumber waste fruits. Journal of Dairy Science, 10: 6015–6026. Rovai M. 2001. Caracteres morfológicos y fisiológicos que afectan la aptitud al ordeño mecánico en ovejas de raza Manchega y Lacaune. Tesis Doctoral. Universidad Autónoma de Barcelona, España, 281 pp. Salama A. 2005. Modifying the lactation curve in dairy goats: Effects of milking frequency, dry period, and kidding interval. Tesis Doctoral. Universidad Autónoma de Barcelona, España, 142 pp. Salama A, Such X, Caja G, Rovai M, Casals R, Albanell E, Marín MP, & Martí A. 2003. Effects of once versus twice daily milking throughout lactation on milk yield and milk composition in dairy goats. Journal of Dairy Science, 86: 1673–1680. Salama A, Caja G, Such X, Peris S, Sorensen A, & Knight C. 2004. Changes in cisternal udder compartment induced by milking interval in dairy goats milked once or twice daily. Journal of Dairy Science, 87: 1181–1187. Sánchez-Macías D, Morales-delaNuez A, Moreno-Indias I, Hernández-Castellano L, Mendoza-Grimón V, Castro N, & Argüello A. 2011. Lipolysis and proteolysis profiles of fresh artisanal goat cheese made with raw milk with 3 different fat contents. Journal of Dairy Science, 94: 5786–5793. 65 BIBLIOGRAFÍA Sandoval J. 2003. Tratado de Anatomía Veterinaria, Tomo IV. Imprenta Sorbes, León, España. 281 pp. Sanogo S, Shaker M, Nantoumé H, & Salem AF. 2012. Milk yield and composition of crossbred Sahelian×Anglo-Nubian goats in the semi-intensive system in Mali during the preweaning period. Tropical Animal Health and Production, 45: 305–310. Sanz Sampelayo M, Chilliard Y, Schmidely P, & Boza J. 2007. Influence of type of diet on the fat constituents of goat and sheep milk. Small Ruminant Research, 68: 42–63. Schams D, Mayer H, Prokopp A, & Worstorff H. 1984. Oxytocin secretion during milking in dairy cows with regard to the variation and importance of a threshold level for milk removal. Journal of Endocrinology, 102: 337–343. Schmidt GH. 1971. Biology of lactation. WH. Freeman and Company, San Francisco, USA, 317 pp. Scolozzi C, Martini M, & Abramo F. 2003. A method for identification and characterization of ewe’s milk fat globules. Milchwissenschaft, 58: 490–493. Silanikove N. 2000a. Effects of heat stress on the welfare of extensively managed domestic ruminants. Livestock Production Science, 67: 1–18. Silanikove N. 2000b. The physiological basis of adaptation in goats to harsh enviroments. Small Ruminant Resarch, 35: 181–193. Silanikove N, Leitner G, Merin U, & Prosser C. 2010. Recent advances in exploiting goat’s milk: Quality, safety and production aspects. Small Ruminant Research, 89: 110–124. Sinapis E, Hatziminaogloua I, Marnet P, Abas Z, & Bolou A. 2000. Influence of vacuum level, pulsation rate and pulsator ratio on machine milking efficiency in local Greek goats. Livestock Production Science, 64: 175–181. Soryal K, Zeng S, Min B, & Hart S. 2004. Effect of feeding treatments and lactation stages on composition and organoleptic quality of goat milk Domiati cheese. Small Ruminant Research, 52: 109–116. Suárez-Trujillo A, Capote J, Argüello A, Castro N, Morales-delaNuez A, Torres A, Morales J, & Rivero M. 2013. Effects of breed and milking frequency on udder histological structures in dairy goats. Journal of Applied Animal Research, 41: 166–172. Torres A, & Capote J. 2011. Venezuela y las cabras canarias. Revista Agropalca, 15: 25. Tziboula-Clarke A. 2003. Goat milk. En: Encyclopedia of Dairy Sciences. Roginski H, & Fuquay J. (Eds.) Academic Press, Cornwall, UK, 1270–1279. Valenti B, Pagano R, & Avondo M. 2012. Effect of diet at different energy levels on milk casein composition of Girgentana goats differing in CSN1S1 genotype. Small Ruminant Research, 105: 135–139. 66 BIBLIOGRAFÍA Vigne J, & Helmer D. 2006. Was milk a “secondary product” in the Old World Neolithisation process? Its role in the domestication of cattle, sheep and goats. Anthropozoologica, 42: 9–40. Wang P. 1989. Udder characteristics in Toggenburg dairy goats. Small Ruminant Research, 2: 181–190. Wellnitz O, Bruckmaier R, Albrecht C, & Blum J. (1999). Atosiban, an oxytocin receptor blocking agent: Pharmacokinetics and inhibition of milk ejection in dairy cows. Journal of Dairy Research, 66: 1–8. Werner-Misof C, Pfaffl M, Meyer H, & Bruckmaier R. 2007. The effect of chronic oxytocin-treatment on the bovine mammary gland immune system. Veterinarni Medicina, 11: 475–486. Wilde C, & Knight C. 1990. Milk yield and mammary function in goats during and after once-daily milking. Journal of Dairy Research, 57: 441–447. Zahraddeen D, Butswast I., & Mbap S. 2009. A note on factors influencing milk yield of local goats under semi-intensive system in Sudan savannah ecological zone of Nigeria. Livestock Research for Rural Development, 21: 34–37. Zeng S, & Escobar E. 1995. Effect of parity and milk production on somatic cell count, standard plate count and composition of goat milk. Small Ruminant Research, 17: 269–274. Zeng S, & Escobar E. 1996. Effect of breed and milking method on somatic cell count, standard plate count and composition of goat milk. Small Ruminant Research, 19: 169–175. Zeng S, Escobar E, & Popham T. 1997. Daily variations in somatic cell count, composition, and production of Alpine goat milk. Small Ruminant Research, 26: 253–260. Zeng S, Zhang L, Wiggans G, Clay J, Lacroix R, & Wang JG. 2008. Current status of composition and somatic cell count in milk of goats enrolled in Dairy Herd Improvement Program in the United States. En: New Research on Livestock Science and Dairy Farming. Di Alberto P, & Costa C. (Eds.) Nova Science Publisher, New York, USA, 129–144. Zygoyiannis D. 1994. A note on the effect of number and genotype of kids on milk yield and composition of indigenous Greek goats (Capra Prisca). Animal Production, 58: 423–426. 67 ARTÍCULO 1 ARTÍCULO 1 J. Dairy Sci. 96:1071–1074 http://dx.doi.org/10.3168/jds.2012-5435 © American Dairy Science Association®, 2013. Short communication: Effects of milking frequency on udder morphology, milk partitioning, and milk quality in 3 dairy goat breeds A. Torres,* N. Castro,† L. E. Hernández-Castellano,† A. Argüello,†1 and J. Capote* *Instituto Canario de Investigaciones Agrarias, La Laguna, Tenerife 38200, Spain †Department of Animal Science, Universidad de Las Palmas de Gran Canaria, 35413 Arucas, Spain ABSTRACT use of an oxytocin receptor antagonist to block spontaneous milk ejection (Wellnitz et al., 1999), allowing a reliable separation between both fractions. This is important because the udder morphology of some dairy goat breeds (e.g., Tinerfeña breed) is characterized by higher teat-floor distance (TF) than cistern-floor distance (CF), a negative circumstance that makes more difficult the emptying of cisternal milk by gravity (López et al., 1999). The aim of the present study was to determine the effects of milking frequency on udder morphology, milk partitioning, composition of each fraction, and SCC of 3 dairy goat breeds (Majorera, Tinerfeña, and Palmera). The present study was performed on the experimental farm of the Instituto Canario de Investigaciones Agrarias in Tenerife (Spain) on 36 dairy goats belonging to 3 different breeds: Majorera (n = 12), Tinerfeña (n = 12), and Palmera (n = 12). The experimental animal procedures were approved by the Ethical Committee of the Universidad de Las Palmas de Gran Canaria (Arucas, Spain). Goats with symmetrical udder halves were in third parity with 124 ± 8 DIM at the beginning of the experiment. The milking frequency before the start of the experimental period was once per day. During a 5-wk period, each goat was milked once daily in the left mammary gland (×1; at 0700 h), whereas the right mammary gland was milked twice daily (×2; at 0700 and 1700 h). The animals were fed with commercial concentrate, maize, lucerne, wheat straw, and a vitamin-mineral corrector in accordance with the guidelines issued for lactating goats by Institut National de la Recherche Agronomique (INRA, Paris, France; Jarrige, 1990). Goats were milked in a double 12-stall parallel milking parlor (Alfa Laval Iberia SA, Madrid, Spain) equipped with recording jars (4 L ± 5%) and a low-line milk pipeline. Milking was performed at a vacuum pressure of 42 kPa, a pulsation rate of 90 pulses/min, and a pulsation ratio of 60/40, in accordance with Capote et al. (2006). The milking routine included wiping dirt off teat ends and stripping 2 to 3 squirts of milk from each teat; machine milking and stripping milking, done by the operator to remove the milk remaining in the udder before cluster removal; and teat dipping in an Thirty-six dairy goats of 3 breeds (Majorera, Tinerfeña, and Palmera) in mid lactation (124 ± 8 d in milk) were subjected unilaterally to once (×1) or twice daily milking (×2) for 5 wk to evaluate udder morphology, milk partitioning, and somatic cell count. Majorera and Palmera goats presented the highest and lowest udder depth values, respectively, whereas the differences between initial and final cistern-floor and teat-floor distances were not affected by milking frequency or breed factors. Cisternal and alveolar milk percentages were similar between ×1 and ×2 in the studied breeds. Milking frequency did not affect milk composition in the cisternal fraction, suggesting a greater transfer of milk from the alveoli to the cistern during early udder filling. However, milking frequency caused diverse changes in the milk composition in the alveolar fraction, especially in fat, lactose, and total solids contents. No udder halves presented clinical mastitis during the experimental period, suggesting that ×1 does not impair udder health and indicating that the studied breeds are adapted to this milking frequency. Key words: milking frequency, milk partitioning, milk quality, dairy goat Short Communication Intramammary filling rate and cisternal capacity to store milk determine the choice of an adequate milking routine. Overfilling of the udder increases intramammary pressure and distention of the alveoli, which can compromise subsequent milk synthesis as has been reported by Peaker (1980). Animals with large cisterns are milked faster with simplified routines and are better at tolerating extended milking intervals (Knight and Dewhurst, 1994; Ayadi et al., 2003; Salama et al., 2003). Techniques for determining cisternal and alveolar milk fractions have been improved and include the Received February 15, 2012. Accepted October 26, 2012. 1 Corresponding author: aarguello@dpat.ulpgc.es 1071 71 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 1072 TORRES ET AL. iodine solution (P3-cide plus; Henkel Hygiene, Barcelona, Spain). Milk recording and sampling were done at wk 1, 3, and 5. Before the experiment, the goats were exposed to 3 wk of adaptation. In the first and second weeks, the goats began to enter the milking parlor in the afternoon, but the goats were not milked. During the third week of adaptation, the goats were milked once and twice daily in the left and right mammary gland, respectively, but the milk was not collected. Udder measurements of each goat were taken just before the first and the last milking of the experimental period. The following udder measurements were performed: CF and TF, recorded as the differences between initial and final measurements (ΔCF and ΔTF), and udder depth (UD), recorded as the difference in distance between the udder floor and the cistern floor. Before the a.m. milking (24- and 14-h milking intervals for ×1 and ×2, respectively) on the sampling days, each goat was injected intravenously with 0.8 mg of an oxytocin receptor blocking agent (Tractocile; Ferring SAU, Madrid, Spain) inside a pen immediately before entering the parlor to record cisternal milk volume. After cisternal milk removal, the goats were injected intravenously with 2 IU of oxytocin (Oxiton; Laboratorios Ovejero, León, Spain) to reestablish milk ejection to allow the measurement of alveolar milk. Cisternal and alveolar milk volumes were recorded by using the recording jars in the milking parlor and milk samples were collected separately for each udder half and fraction. Milk samples (cisternal and alveolar fractions) were analyzed immediately after collection to determine milk composition and SCC. Protein, fat, lactose, TS, and SNF percentages were determined using a MilkoScan 133 analyzer (Foss Electric A/S, Hillerød, Denmark), and SCC using a Fossomatic 90 cell counter (Foss Electric A/S). Somatic cell count was calculated by a weighted average of the cisternal and alveolar SCC. The statistical analysis used to evaluate the effects of breed and milking frequency on morphological parameters of udder, milk partitioning and SCC was PROC MIXED of SAS (version 9.0; SAS Institute Inc., Cary, NC). The model included fixed effects of milking frequency (×1 or ×2) and breed (Majorera, Tinerfeña, or Palmera) and their interactions. The repeated statement was used to take into account repeated measures for each individual animal. Differences among the breeds and milking frequencies were evaluated using a multiple comparison test following the Tukey-Kramer method. Statistical differences were considered significant at P < 0.05. Data are presented as least squares means. The ΔCF and ΔTF (Table 1) did not differ due to milking frequency or breed (P > 0.05). Knight and Dewhurst (1994) found that large cisternal size may explain the small negative effects of longer milking intervals on udder morphology because it is better prepared to accommodate greater milk accumulation, and may explain the absence of differences in the cistern descent of goat udders. Majorera and Palmera goats presented the highest and lowest UD values, respectively (Table 1). The increase in UD values during the experimental period can be explained because ΔTF were lower than ΔCF, which implies that increasing the cistern depth increases the UD. The cistern depth is a consequence of teat placement of the studied goats whose teats are not located in the ventral portion of the udder (Capote et al., 2006). Cisternal and alveolar milk percentages were similar between ×1 (24 h after milking) and ×2 (14 h after milking) in Majorera, Tinerfeña, and Palmera breeds (Table 1). Salama et al. (2004) did not find differences in cisternal milk fraction in Murciano-Granadina goats between ×1 and ×2 when milking intervals were 16 and 24 h (values ranged from 66 to 76%). The differences observed in the cisternal and alveolar fractions between breeds may be explained by the cisternal size, because greater cisterns are able to store more milk. Bruckmaier et al. (1997) explained that a large absolute cisternal volume implies that a large fraction of the milk is stored within the cisternal cavities and it varies according to breed. Percentages of cisternal milk components (Table 1) were not affected by milking frequency (P > 0.05). This absence of differences between ×1 and ×2 goats might be due to the fact that approximately 80% of total milk was stored in the cisternal compartment and most of the transfer of milk from the alveoli and small milk ducts had already taken place. However, McKusick et al. (2002) observed marked differences in milk fat percentage in the cisternal fraction between different milking intervals in dairy ewes, in which the cistern was only capable of storing approximately 50% of the total milk volume, being more susceptible to changes in the transfer of milk components. Alveolar milk of ×1 goats contained higher percentages of fat and TS than alveolar milk of ×2 goats, but these differences were significant only in the Majorera breed. McKusick et al. (2002) explained that a transfer of milk fat from the alveoli to the cistern occurs during early udder filling; however, this transfer no longer takes place during later intervals, resulting in an accumulation of milk fat in the alveolar compartment. Alveolar milk was richer in fat content than cisternal milk in all breeds and milking intervals, which agrees Journal of Dairy Science Vol. 96 No. 2, 2013 72 ARTÍCULO 1 1073 SHORT COMMUNICATION: UNILATERAL MILKING FREQUENCY IN GOATS Table 1. Morphological parameters of udder, milk partitioning, milk composition, and SCC of 3 dairy goat breeds milked once (×1) or twice (×2) daily1,2 Goat breed Majorera Parameter3 Initial UD (cm) Final UD (cm) ΔCF (cm) ΔTF (cm) Cisternal milk (%) Fat (%) Protein (%) Lactose (%) TS (%) SNF (%) Alveolar milk (%) Fat (%) Protein (%) Lactose (%) TS (%) SNF (%) SCC (log/mL) Tinerfeña P-value4 Palmera ×1 ×2 ×1 ×2 ×1 ×2 SEM B F B×F 29.10a 29.95a 0.85 0.25 81.63a 3.70 3.57bc 4.92 12.85a 9.19a 18.37b 6.03b 3.52 4.78ab 15.03b 9.00 6.00b 28.10ab 28.80ab 0.70 0.05 80.21ab 3.66 3.55bc 4.90 12.80ab 9.14a 19.79ab 4.84d 3.54 4.87a 13.94c 9.12 5.90b 26.65abc 28.60ab 1.95 1.35 81.62ab 3.63 3.59abc 4.78 12.73ab 9.07ab 18.38ab 5.86bc 3.59 4.74ab 14.73bc 9.00 6.33a 25.55bc 27.10ab 1.55 1.10 82.04a 3.47 3.44c 4.78 12.39b 8.92b 17.96b 4.94cd 3.50 4.76ab 13.89c 8.96 6.26ab 24.80c 26.30b 1.50 0.35 77.78b 3.78 3.80a 4.79 13.10a 9.29a 22.22a 7.07a 3.69 4.58c 16.05a 8.98 6.08b 25.00c 25.60b 0.60 0.15 78.23b 3.83 3.68ab 4.87 13.08a 9.25a 21.77a 6.45ab 3.58 4.70b 15.38ab 8.99 5.92b 0.422 0.507 0.293 0.227 0.524 0.049 0.040 0.023 0.073 0.038 0.524 0.166 0.039 0.022 0.163 0.036 0.051 0.001 0.021 0.40 0.11 0.007 0.11 0.049 0.083 0.012 0.011 0.007 0.001 0.51 0.001 0.001 0.61 0.010 0.41 0.26 0.42 0.64 0.86 0.60 0.21 0.70 0.32 0.26 0.86 0.001 0.47 0.046 0.002 0.71 0.25 0.74 0.94 0.87 0.999 0.68 0.66 0.76 0.64 0.58 0.79 0.68 0.66 0.79 0.52 0.82 0.68 0.93 a–d Means with different superscripts within the same row are different (P < 0.05). Data are least squares means and standard error of means. 2 Morphological parameters were recorded before the first and the last milking of the experimental period. Milk parameters were measured at 24- and 14-h milking intervals for ×1 and ×2 goats, respectively. 3 UD = udder depth; ΔCF = difference between initial and final cistern-floor (CF) distance; ΔTF = difference between initial and final teat-floor (TF) distance. 4 B = breed; F = milking frequency. 1 with observations in dairy cows by Waldmann et al. (1999) and dairy ewes by McKusick et al. (2002). Milk protein percentage was unaffected by milk partitioning (Table 1). This agrees with observations in dairy ewes by McKusick et al. (2002) and dairy cows by Ayadi et al. (2004), indicating that casein micelles passed more freely than fat globules from the alveolar to the cisternal compartment between milkings, resulting in minimal differences in protein concentration of milk fractions. Lactose content in cisternal milk was not affected by milking frequency (Table 1). Lactose content in alveolar milk in Majorera and Tinerfeña breeds was not different between ×1 and ×2 goats, whereas in the Palmera breed, lactose content was lower for ×1 goats (P < 0.05). The decrease in milk lactose percentage seems to be due to lactose passing from milk into blood through an impaired tight junction (Stelwagen et al., 1994) associated with extended milking intervals. The results for the SCC showed that Tinerfeña goats presented higher values than Majorera and Palmera goats for ×1. Nevertheless, no differences in SCC level were found for ×2 between the studied breeds (Table 1). Harmon (1994) indicated that variability in SCC within a breed is greater than variability in SCC be- tween breeds; therefore, it is possible that the results found could be due to an effect of individual variability. Milking frequency did not affect the milk SCC. No coincident data exist about the effect of milking frequency on SCC levels. Salama et al. (2003) did not find significant differences in SCC between ×1 and ×2 goats in 32 Murciano-Granadina goats during an entire lactation, whereas Komara et al. (2009) conducted 2 experiments with Alpine goats and found differences only in experiment 1, which could be due to the different number of goats used in each experiment (48 for experiment 1 and 8 for experiment 2) and to individual variability, as indicated by the authors. No udder halves presented clinical mastitis during the experimental period, suggesting that ×1 does not impair udder health and indicating that the breeds are fully adapted to this milking frequency. Lacy-Hulbert et al. (2005) did not report differences in the number of clinical or subclinical infections between ×1 and ×2 in dairy cows. Nudda et al. (2002) suggested that high SCC levels induced by a change in milking frequency may be temporary and not necessarily due to mammary gland infections. In conclusion, the fact that about 80% of total milk was stored in cisternal compartments for 14- and 24-h Journal of Dairy Science Vol. 96 No. 2, 2013 73 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 1074 TORRES ET AL. milking intervals suggested a greater transfer of milk from the alveoli to the cistern during early udder filling and, therefore, did not produce significant changes in the milk composition. However, milking intervals caused diverse changes in the milk composition in the alveolar fraction, especially in fat, lactose, and TS contents; therefore, it merits further investigation of the mechanisms responsible for milk ejection between milkings. Komara, M., M. Boutinaud, H. Ben Chedly, J. Guinard-Flament, and P. G. Marnet. 2009. Once-daily milking effects in high-yielding alpine dairy goats. J. Dairy Sci. 92:5447–5455. Lacy-Hulbert, S. J., D. E. Dalley, and D. A. Clark. 2005. The effects on once a day milking on mastitis and somatic cell count. Proc. N.Z. Soc. Anim. Prod. 65:137–142. López, J. L., J. Capote, G. Caja, S. Peris, N. Darmanin, A. Argüello, and X. Such. 1999. Changes in udder morphology as a consequence of different milking frequencies during first and second lactation in Canarian dairy goats. Pages 100–103 in Milking and Milk Production of Dairy Sheep and Goats. F. Barillet, and N. P. Zervas, ed. Wageningen Pers, Wageningen, the Netherlands. McKusick, B. C., D. L. Thomas, Y. M. Berger, and P. G. Marnet. 2002. Effect of milking interval on alveolar versus cisternal milk accumulation and milk production and composition in dairy ewes. J. Dairy Sci. 85:2197–2206. Nudda, A., R. Bencini, S. Mijatovic, and G. Pulina. 2002. The yield and composition of milk in Sarda, Awassi, and Merino sheep milked unilaterally at different frequencies. J. Dairy Sci. 85:2879–2884. Peaker, M. 1980. The effect of raised intramammary pressure on mammary function in the goat in relation to the cessation of lactation. J. Physiol. 301:415–428. Salama, A. A. K., G. Caja, X. Such, S. Peris, A. Sorensen, and C. H. Knight. 2004. Changes in cisternal udder compartment induced by milking interval in dairy goats milked once or twice daily. J. Dairy Sci. 87:1181–1187. Salama, A. A. K., X. Such, G. Caja, M. Rovai, R. Casals, E. Albanell, M. P. Marín, and A. Martí. 2003. Effects of once versus twice daily milking throughout lactation on milk yield and milk composition in dairy goats. J. Dairy Sci. 86:1673–1680. Stelwagen, K., S. R. Davis, V. C. Farr, C. G. Prosser, and R. A. Sherlock. 1994. Mammary epithelial cell tight junction integrity and mammary blood flow during an extended milking interval in goats. J. Dairy Sci. 77:426–432. Waldmann, A., E. Ropstad, K. Landsverk, K. Sørensen, L. Sølverød, and E. Dahl. 1999. Level and distribution of progesterone in bovine milk in relation to storage in the mammary gland. Anim. Reprod. Sci. 56:79–91. Wellnitz, O., R. M. Bruckmaier, C. Albrecht, and J. W. Blum. 1999. Atosiban, an oxytocin receptor blocking agent: Pharmacokinetics and inhibition of milk ejection in dairy cows. J. Dairy Res. 66:1–8. ACKNOWLEDGMENTS This work was supported by Fondo Europeo de Desarrollo Regional-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (FEDER-INIA) RTA2009-00125. REFERENCES Ayadi, M., G. Caja, X. Such, and C. H. Knight. 2003. Use of ultrasonography to estimate cistern size and milk storage at different milking intervals in the udder of dairy cows. J. Dairy Res. 70:1–7. Ayadi, M., G. Caja, X. Such, M. Rovai, and E. Albanell. 2004. Effect of different milking intervals on the composition of cisternal and alveolar milk in dairy cows. J. Dairy Res. 71:304–310. Bruckmaier, R. M., G. Paul, H. Mayer, and D. Schams. 1997. Machine milking of Ostfriesian and Lacaune dairy sheep: Udder anatomy, milk ejection and milking characteristics. J. Dairy Res. 64:163– 172. Capote, J., A. Argüello, N. Castro, J. L. López, and G. Caja. 2006. Correlations between udder morphology, milk yield and milking ability with different milking frequencies in dairy goats. J. Dairy Sci. 89:2076–2079. Harmon, R. J. 1994. Physiology of mastitis and factors affecting somatic cell counts. J. Dairy Sci. 77:2103–2112. Jarrige, J. 1990. Alimentación de bovinos, ovinos y caprinos. 1st ed. Mundi-Prensa, Madrid, Spain. Knight, C. H., and R. J. Dewhurst. 1994. Once daily milking of dairy cows: Relationship between yield loss and cisternal milk storage. J. Dairy Res. 61:441–449. Journal of Dairy Science Vol. 96 No. 2, 2013 74 ARTÍCULO 2 ARTÍCULO 2 G Model RUMIN-4519; No. of Pages 6 ARTICLE IN PRESS Small Ruminant Research xxx (2013) xxx–xxx Contents lists available at SciVerse ScienceDirect Small Ruminant Research journal homepage: www.elsevier.com/locate/smallrumres Comparison between two milk distribution structures in dairy goats milked at different milking frequencies A. Torres a , N. Castro b , A. Argüello b , J. Capote a,∗ a b Instituto Canario de Investigaciones Agrarias (ICIA), La Laguna 38200, Tenerife, Spain Department of Animal Science, Universidad de Las Palmas de Gran Canaria, Arucas 35413, Spain a r t i c l e i n f o Article history: Received 6 March 2013 Received in revised form 26 April 2013 Accepted 30 April 2013 Available online xxx Keywords: Milk yield Milk partitioning Milking frequency Dairy goat a b s t r a c t Twenty-four dairy goats of 3 breeds (Majorera, Tinerfeña, and Palmera) in mid lactation (110 ± 7 d in milk) were milked unilaterally at 2 frequencies (once: X1 or twice daily: X2) for 6 wk to evaluate milk yield and milk composition and to compare two milk distribution structures. On the sampling days, milk volumes of each udder halves were recorded and analyzed. Milk partitioning was divided into: cisternal (CM) and alveolar milk (AM); and into: machine milk (MM), machine stripping milk (MSM), and residual milk (RM). In Majorera and Tinerfeña breeds did not find significant differences in milk yield and milk composition due to milking frequency. In contrast, Palmera goats had an increase of 14% in milk yield when they were milked X2 compared with X1, but the protein content was significantly higher in the milk of X1 (3.92%) than X2 (3.72%). Furthermore, the absence of differences in protein daily yield between X1 and X2, suggested that cheese yield could not be maintained. Milking frequency did not affect CM and AM percentages in the studied breeds. Regarding breed factor, Majorera and Palmera had the highest and lowest CM percentages, respectively, both in X1 and X2. On the other hand, MM and MSM percentages did not differ due to milking frequency in Tinerfeña and Palmera breeds. However, Majorera goats had significant differences in MM (77.29 vs. 71.66%) and MSM (12.67 vs. 17.41%) for X1 and X2, respectively. A breed effect was observed on MM and MSM fractions: Majorera goats had higher MM percentages, while Tinerfeña and Palmera goats had higher MSM percentages. RM fraction was not affected by milking frequency or breed factors. Finally, no significant correlation coefficients were detected when comparing CM and AM with MM, MSM and RM fractions, which indicates that both milk partitioning structures did not seem to be comparable between them, at least in goat udders that have a more horizontal teat insertion. © 2013 Elsevier B.V. All rights reserved. 1. Introduction a separate teat (Bruckmaier and Blum, 1998). According to Wilde and Knight (1990), the unilateral alteration of milking frequency indicates that milk yield changes are imposed by local intramammary mechanisms and affects only the treated gland. In addition, Wall and McFadden (2008) explained that experimental design that applied single gland milking eliminated variation among animals due to environment, nutrition and genetic factors and exposed each gland to the same systemic factors. Milk is stored in two interconnected anatomical udder compartments that determine the milkability (Salama The mammary glands in ruminants are composed of functionally separate glands (four in cows and two in goats and sheep). Each gland has its own secretory tissue and cisternal cavities, and each gland is drained by ∗ Corresponding author at: ICIA, Apto. de correos 60, La Laguna 38200, Tenerife, Spain. Tel.: +34 922542800; fax: +34 922542898. E-mail addresses: jcapote@icia.es, jcapote1@gmail.com (J. Capote). 0921-4488/$ – see front matter © 2013 Elsevier B.V. All rights reserved. http://dx.doi.org/10.1016/j.smallrumres.2013.04.013 Please cite this article in press as: Torres, A., et al., Comparison tion structures in dairy goats milked at different milking frequencies. http://dx.doi.org/10.1016/j.smallrumres.2013.04.013 77 between two milk distribuSmall Ruminant Res. (2013), Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias G Model RUMIN-4519; No. of Pages 6 2 ARTICLE IN PRESS A. Torres et al. / Small Ruminant Research xxx (2013) xxx–xxx et al., 2004). Cisternal milk (CM) is located in the cisternal compartment consisting of the gland cistern, the teat cisterns and the large ducts; while alveolar milk (AM) is stored within the alveoli and small interlobular ducts (Marnet and McKusick, 2001). Milk partitioning between both compartments varies according to specie, breed, age, lactation stage, parity and milking interval (Salama et al., 2004; Castillo et al., 2008). Partitioning between CM and AM was formerly determined by drainage of cisternal milk, by using a teat cannula (Peaker and Blatchford, 1988), but new techniques include the use of an oxytocin receptor antagonist to block spontaneous milk ejection (Wellnitz et al., 1999). Differing from dairy cows, small ruminants have proportionally larger cisterns which play an important role in the storage of milk between milkings and can greatly affect the removal of milk at the time of milking (Marnet and McKusick, 2001). Furthermore, udder morphology of many goat and sheep breeds is characterized by having a more horizontal teat insertion (Rovai et al., 2008; Torres et al., 2013), a circumstance that implies manual intervention for complete milk removal. Milk collected during milking can be divided into: machine milk (MM) obtained between attaching the line and the final cessation of the milk flow without the operator having to manipulate the udder; and machine stripping milk (MSM) which requires manual intervention to remove milk not obtained by the machine. Moreover, a milk fraction known as residual milk (RM) remains in the mammary tissue and it can only be collected after administration of pharmacological amounts of oxytocin (Bruckmaier and Blum, 1998). The goals of this study were to evaluate the effects of unilateral milking frequency on milk yield, milk composition and milk component yield; and to compare two milk distribution structures in 3 dairy goat breeds milked at 2 frequencies, and whether there are relevant correlations among them to establish a relationship between CM and AM with MM, MSM and RM. daily for X2, according to Capote et al. (2008). Fat (4.0%)-corrected milk (FCM) was calculated according to Salama et al. (2003). Milk samples were analyzed immediately after collection to determine milk composition. Fat, protein, lactose and total solids were determined using a MilkoScan 133 analyzer (Foss Electric, Hillerod, Denmark). Milk composition of X2 was calculated by a weighted average from the a.m. and the p.m. milk composition. Milk component yields were calculated by multiplying milk yield by corresponding milk component percentages. Milk partitioning was calculated at the a.m. milking (24- and 14-h milking intervals for X1 and X2, respectively). During wk 1, 3, and 5, on the sampling days, each goat was injected intravenously with 0.8 mg of an oxytocin receptor blocking agent (Tractocile; Ferring, Madrid, Spain) inside a holding pen immediately before entering the milking parlor to record CM volume. After CM removal, the goats were injected intravenously with 2 IU of oxytocin (Oxiton; Laboratorios Ovejero, León, Spain) to reestablish milk ejection, and AM was measured. During wk 2, 4, and 6, on the sampling days, milk partitioning was divided into MM, MSM performed by the same milker, and RM obtained after injecting goats with 2 IU of oxytocin. A MIXED model procedure (SAS 9.0; SAS Institute Inc., Cary, NC) was used. The statistical model included the fixed effects of milking frequency (X1 or X2) and breed (Majorera, Tinerfeña, or Palmera), the random effect of the half-udder nested within animal, the respective interactions, and the residual error: Yijk = � + Bi + Mj + Gk + (BM)ij + εijk where Yijk is the observation of the dependent variable, � is the overall mean, Bi is the effect of the breed i (i = 3), Mj is the effect of the milking frequency j (j = 2), Gk is the random effect, (BM)ij is the effect of the interaction between breed and milking frequency, εijk is the residual error. Differences among the breeds and milking frequencies were evaluated using a multiple comparison test following the Tukey–Kramer method. Pearson’s correlation coefficients between milk fractions were also calculated. Statistical differences were considered significant at P < 0.05. Data are presented as least squares means. 3. Results Milk yield and FCM (Table 1) did not differ due to milking frequency in Majorera and Tinerfeña breeds (P > 0.05). Nevertheless, Palmera breed had a significant increase in milk yield by 14% when they were milked X2 compared with X1. Furthermore, FCM of X2 was higher than in X1 udder halves by 18% in Palmera goats (P < 0.05). Regarding breed effect, Majorera goats had higher milk yield values than Palmera goats both in X1 and X2 (P < 0.05). No differences were found in fat percentages in the studied breeds (Table 1) when the milking frequency effect was considered (P > 0.05). Besides, Palmera breed had higher milk fat content than Majorera and Tinerfeña both in X1 and X2, but the differences were significant only in X2. Milking frequency did not have effect on the protein percentages in Majorera and Tinerfeña goats (Table 1). However, Palmera goats had higher milk protein content in X1 than in X2 udder halves (P < 0.05). Regarding breed effect, Majorera and Tinerfeña had lower protein fraction than Palmera both in X1 and X2 (P < 0.05). No significant differences were detected in lactose content among breeds and milking frequencies (Table 1), ranging from 4.78 to 4.86% in the studied conditions. Likewise, total solids percentages were not affected due to milking frequency (Table 1) (P > 0.05). Moreover, differences in total solids percentages were found when the breed effect was considered (P < 0.05). Thus, Palmera goats had higher values than Majorera and Tinerfeña both in X1 and X2. 2. Materials and methods The experimental animal procedures were approved by the Ethical Committee of the Universidad de Las Palmas de Gran Canaria (Arucas, Spain). A total of 24 dairy goats in mid lactation (110 ± 7 DIM) of Majorera (n = 8; 2.7 ± 0.4 L/d; parity = 3.4 ± 1.1), Tinerfeña (n = 8; 2.3 ± 0.5 L/d; parity = 3.1 ± 1.3), and Palmera (n = 8; 1.8 ± 0.4 L/d; parity = 3.1 ± 1.2) breeds from the experimental farm of the Instituto Canario de Investigaciones Agrarias (ICIA, Tenerife, Spain) were used. The animals were fed with commercial concentrate, maize, lucerne, wheat straw and a vitamin–mineral corrector in accordance with the guidelines issued for lactating goats by Institut National de la Recherche Agronomique (INRA, Paris, France; Jarrige, 1990). The milking frequency before the start of the experimental period was once per day. Goats were milked in a double 12-stall parallel milking parlor equipped with recording jars (4 L ±5%) and a low-line milk pipeline. Milking was performed at a vacuum pressure of 42 kPa, a pulsation rate of 90 pulses/min, and a pulsation ratio of 60/40. The milking routine included wiping dirt off teat ends and stripping 2–3 squirts of milk from each teat, machine milking, machine stripping before cluster removal, and teat dipping in an iodine solution (P3-cide plus; Henkel Hygiene, Barcelona, Spain). During a 6-wk period, goats were milked once daily in the left mammary gland (X1; at 07:00 h), whereas the right mammary gland was milked twice daily (X2; at 07:00 and 17:00 h). Before the start of the experimental period, the goats were exposed to 3 wk of adaptation to X2. Milk volumes were measured by using the recording jars in the milking parlor for each udder half. On the sampling days (wk 2, 4, and 6), milk yield was recorded as MM plus MSM once daily for X1, and MM and MSM twice Please cite this article in press as: Torres, A., et al., Comparison tion structures in dairy goats milked at different milking frequencies. http://dx.doi.org/10.1016/j.smallrumres.2013.04.013 78 between two milk distribuSmall Ruminant Res. (2013), ARTÍCULO 2 ARTICLE IN PRESS G Model RUMIN-4519; No. of Pages 6 3 A. Torres et al. / Small Ruminant Research xxx (2013) xxx–xxx Table 1 Milk yield, milk composition and milk component yield of each udder half of three dairy goat breeds milked once (X1) or twice (X2) daily.a Parameter Goat breed SEM Majorera Tinerfeña X1 X2 1.39ab 1.34a 3.79b 3.67bc 4.83 Milk yield (L/d) FCMb (L/d) Fat (%) Protein (%) Lactose (%) X2 1.27ab 1.21ab 3.76b 3.63bc 4.85 13.06b a a 59.42 54.40a 73.65a 46.90 44.78ab 61.70ab 180.42a 197.58a 162.07ab Fat (g/d) Protein (g/d) Lactose (g/d) 52.47 50.95a 67.20ab Total solids (g/d) X1 1.51a 1.50a 3.94b 3.59c 4.86 12.99b Total solids (%) Palmera X1 1.31ab 1.28a 3.88b 3.51c 4.83 12.92b 12.91b ab X2 1.04c 1.05b 4.06ab 3.92a 4.78 ab 50.00 44.73ab 64.22ab 1.19b 1.24a 4.29a 3.72b 4.81 0.049 0.045 0.060 0.041 0.028 13.58a 13.53a 0.083 b a 1.785 1.504 2.513 161.42a 5.936 41.77 40.79b 49.96c 168.04a 141.01b 50.98 44.45ab 57.48b a–c Means with different superscripts within the same row are different (P < 0.05). a Data are least squares means and standard error of means. b FCM = total milk yield (L/d) × (0.400 + 0.150 × total fat content (%)). r = −0.93; Palmera, r = −0.86). In addition, no significant correlation coefficients were found between MSM and RM for X1 and X2. Finally, CM and AM were not correlated with MM, MSM and RM fractions in the studied breeds milked at X1 and X2 (P > 0.05). Majorera and Tinerfeña goats were not different in milk component yields between X1 and X2 (Table 1). In contrast, Palmera goats had significant increases by 22%, 15%, and 14% in X2 daily yields of fat, lactose and total solids, respectively, compared with X1. However, protein yield did not significantly increase as did the other milk components. CM and AM percentages (Table 2) did not differ due to milking frequency in the studied breeds (P > 0.05). Majorera and Palmera had the highest and lowest CM percentages, respectively, both in X1 and X2 (P < 0.05). In the same way, MM and MSM percentages (Table 2) were not affected by milking frequency in Tinerfeña and Palmera breeds (P > 0.05). However, Majorera goats had higher and lower values in MM and MSM fractions, respectively, in X1 with regard to X2. RM percentages were not affected by the milking frequency and breed factors (P > 0.05), ranging from 10.66 to 14.49% in the studied conditions. Correlation coefficients among milk fractions are reported in Table 3. High negative correlations between MM and MSM fractions (P < 0.05) were observed for X1 (Majorera, r = −0.76; Tinerfeña, r = −0.94; Palmera, r = −0.90) and X2 (Majorera, r = −0.72; Tinerfeña, r = −0.70; Palmera, r = −0.90). Moreover, MM and RM were only significantly correlated for X1 (Majorera, r = −0.82; Tinerfeña, 4. Discussion The increase in milk yield in Palmera goats was higher than the values reported in Tinerfeña goats (6%) by Capote et al. (1999) and Damascus goats (7%) by Papachristoforou et al. (1982) and similar to loss caused by X1 in Alpine goats (16%) by Komara et al. (2009). The increase in FCM in Palmera goats was comparable with the FCM value reported in Murciano-Granadina goats (18%) by Salama et al. (2003). However, the goats of those studies were milked with the same frequency in both glands. The unilateral milking frequency effect indicates that the increase in milk yield is a response strictly at the level of the mammary gland via local factors, and not due to the greater availability of nutrient supply caused by the suppression of milking in the opposite gland (Nudda et al., 2002; Wall and McFadden, 2008). Table 2 Milk fractions of three dairy goat breeds milked once (X1) or twice (X2) daily.a,b Fractionc Goat breed SEM Majorera CM (%) AM (%) MM (%) MSM (%) RM (%) Tinerfeña Palmera X1 X2 X1 X2 X1 X2 82.28a 18.41c 77.29a 12.67c 10.66 81.75a 18.77c 71.66b 17.41b 11.61 80.12ab 20.15bc 67.21bc 19.71b 12.96 80.30ab 19.99bc 61.21c 24.94ab 14.49 77.22bc 23.02ab 65.86bc 22.34ab 12.48 76.70c 23.43a 59.07c 27.57a 13.24 0.528 0.498 1.366 1.100 0.449 a–c Means with different superscripts within the same row are different (P < 0.05). Data are least square means and standard error of means. Milk fractions were measured at 24- and 14-h milking intervals for X1 and X2 goats, respectively. c CM, cisternal milk; AM, alveolar milk; MM, machine milk; MSM, machine stripping milk; RM, residual milk. a b Please cite this article in press as: Torres, A., et al., Comparison tion structures in dairy goats milked at different milking frequencies. http://dx.doi.org/10.1016/j.smallrumres.2013.04.013 79 between two milk distribuSmall Ruminant Res. (2013), Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias G Model RUMIN-4519; No. of Pages 6 4 ARTICLE IN PRESS A. Torres et al. / Small Ruminant Research xxx (2013) xxx–xxx Table 3 Pearson’s correlation coefficients matrix among milk fractions of three dairy goat breeds milked once (above diagonal) or twice (below diagonal) daily. Breed Fractiona CM AM MM MSM RM −0.885* −0.989* −0.987* −0.285 0.084 −0.051 0.379 −0.050 0.162 0.181 −0.159 0.007 −0.007 −0.189 0.008 −0.245 0.143 −0.136 0.173 0.232 0.023 −0.761* −0.941* −0.897* −0.823* −0.933* −0.863* CM Majorera Tinerfeña Palmera AM Majorera Tinerfeña Palmera −0.892* −0.935* −0.990* MM Majorera Tinerfeña Palmera 0.411 0.067 0.617 −0.550 −0.082 −0.586 MSM Majorera Tinerfeña Palmera −0.164 0.158 −0.615 0.314 −0.210 0.636 −0.721* −0.702* −0.895* RM Majorera Tinerfeña Palmera 0.128 −0.476 0.024 0.053 0.433 −0.107 −0.050 −0.253 −0.406 * a 0.139 0.694 0.666 −0.258 −0.107 0.006 P < 0.05. CM, cisternal milk; AM, alveolar milk; MM, machine milk; MSM, machine stripping milk; RM, residual milk. X1 regimen due to selection for high cistern capacity. The physiological explanation relates to the suggestion that casein f(1–28) is effective only in the alveoli where it is in contact with the epithelial cells. Exposing the alveoli to high concentration of -casein f(1–28) will induce disruption of the tight junction (Silanikove et al., 2010). Milk fat content was not affected by milking frequency which is in accordance with Komara et al. (2009), who also did not observe differences in fat globule size between X1 and X2 for Alpine goats. However, Salama et al. (2003) showed that milk of X1 goats had a 10% more fat content than milk of X2 goats. Milk fat is considered to be the most variable component in ruminant milk, due to differing regulatory mechanisms for secretion of milk fat globules relative to the components in the aqueous phase of milk and to the transfer between alveolar and cisternal compartments (Salama et al., 2003). X1 management in high-yielding goats is a potent stressor that is able to disturb alveolar milk ejection because alveolar milk was shown to contain up to 75% of milk fat when milk ejection was inhibited (Labussière, 1988). However, the absence of significant differences in the studied breeds might be due to the fact that approximately 80% of total milk was stored in the cisternal compartment and most of the transfer of milk fat from the alveoli to the cistern had already taken place. Milk protein concentration was significantly higher in X1 than in X2 udder halves in Palmera goats, which agrees with observations in dairy goats by Komara et al. (2009) and dairy ewes by Nudda et al. (2002). Salama et al. (2003) explained that the concentration effect of the protein in X1 with respect to X2 was due to the milk volume, this was lower with X1 but the casein synthesized remained and became more concentrated in the milk. In goats, Capote et al. (1999) found that milking frequency did not affect lactose percentage and reiterate the assertion that lactose is the milk component least influenced by breed and milking factors, indicating a similar The differences observed in milk yield in Majorera, Tinerfeña and Palmera goats between X1 and X2 may be explained as a consequence of cisternal capacity of each breed (Bruckmaier and Blum, 1998). A large voluminous cistern takes more time in filling up, delaying the effects of the intramammary feedback inhibitor, intramammary pressure, or tight junction integrity on milk transference from the alveoli to the cisterns, during the filling of the udder (Capote et al., 2008). Recently, serotonin has been proposed as a feedback inhibitor of lactation, being a component involved in milk regulation (Hernandez et al., 2008). However, milk yields did not differ between treatment and control halves, which suggest that serotonin is not a local factor. In addition, Silanikove et al. (2000) showed in goats and cows that the plasmin-induced -casein f(1–28) peptide can serve as a local regulator on milk secretion by functioning as a potassium channel blocker, which was subsequently confirmed in dairy cows by Silanikove et al. (2009). It is predicted that for milking intervals of less than 20 h in goats and 18 h in cows, the concentration of caseinderived peptides, including the active component -casein f(1–28), would be higher in the cistern than in the alveoli; therefore, the alveoli will not be exposed to the full impact of the negative feedback signal of this peptide. Extending milk stasis beyond these times exceeds the storage capacity of the cistern, resulting in the equilibration of -casein f(1–28) concentration between the cistern and the alveoli (Silanikove et al., 2010). Thus, animals with smaller udder size, and hence of cisternal compartment, such as Palmera goats (SuárezTrujillo et al., 2013; Torres et al., 2013), are more affected by mechanisms of feedback inhibition. Silanikove et al. (2010) explained that high milk producing goats, as Saanen, selected to high alveolar to cistern compartment ratio, are the most sensitive to changes in milking frequency. In contrast, medium milk producing goats, as some Spanish breeds, may attain their genetic potential for milk yield in Please cite this article in press as: Torres, A., et al., Comparison tion structures in dairy goats milked at different milking frequencies. http://dx.doi.org/10.1016/j.smallrumres.2013.04.013 80 between two milk distribuSmall Ruminant Res. (2013), ARTÍCULO 2 G Model RUMIN-4519; No. of Pages 6 ARTICLE IN PRESS 5 A. Torres et al. / Small Ruminant Research xxx (2013) xxx–xxx reported in Murciano-Granadina (9–11%; Peris et al., 1996) and Tinerfeña (7–12%; Capote et al., 2009) goats. In addition, Marnet and McKusick (2001) reported significant increases in MSM percentage without proportional modification of AM or CM volume in Lacaune ewes between the years 1982 and 1992. The increase in MSM fraction was a consequence of the tendency to have more horizontally placed teats in the udder which increases cisternal storage capacity to improve milk production (Bruckmaier et al., 1997; Marnet and McKusick, 2001). High negative correlations observed between MM and MSM fractions both in X1 and X2 in the studied breeds differs with these observed by Peris et al. (1996) and Caja et al. (1999) who did not find significant correlations between both fractions. However, it is clear that the correlation between both them could help in the selection of goats to improve the milkability. Furthermore, Peris et al. (1996) noted that the negative correlation between MM and RM in goats could reduce the milking time because they accumulate more milk into the cisterns. Although, CM and AM (Salama et al., 2004) or MM, MSM and RM percentages (Capote et al., 2008) have a strong dependence on udder morphology, the absence of significant correlation coefficients between CM and AM with MM, MSM, and RM fractions impeded the establishment of a relationship between both milk partitioning structures, at least in goat udders that have a more horizontal teat insertion. performance of the synthetic activity of the mammary gland. In the studied breeds there were no significant differences found in total solids content between X1 and X2. There is disagreement about the milking frequency effects on total solids percentages. Capote et al. (1999) had observed a lower total solids fraction in X1 (12.48%) than X2 (12.84%), while for Salama et al. (2003) the total solids were higher in X1 (13.60%) than X2 (12.90%) in goats during an entire lactation. Finally, the fact that Palmera goats had higher percentages of total solids than Majorera and Tinerfeña both in X1 and X2, may be explained because the Palmera had higher percentages of fat and protein than the other two breeds. The increases in fat, lactose, and total solids yields were consistent with the significant increase in the milk production of Palmera goats. However, the absence of differences in protein yield between X1 and X2 can be explained by a lower concentration of protein in X2, suggesting that cheese yield could not be maintained. Marnet and Komara (2008) explained that the regulation of milk components synthesis is dependent on the duration of the milking interval, which can influence cheese-making capacity and cheese quality. Despite the differences in milk yield in Palmera goats between X1 and X2, there were not differences in the distribution of milk in the udder. Salama et al. (2004) did not find differences in milk accumulation rates in the cisternal compartment at 16 and 24 h in Murciano-Granadina goats milked X1 or X2, whereas Torres et al. (2013) suggested that the high percentages of milk stored in cisternal compartments for 14- and 24-h milking intervals may be explained by a greater transfer of milk from the alveoli to the cisterns during early udder filling. The differences in milk partitioning among breeds were due to the cisternal size of each breed that influences the capacity to store milk in this compartment. For example, Rovai et al. (2008) found CM–AM ratio of 59–41 and 77–23 for Manchega and Lacaune ewes, respectively, where Lacaune breed presented a greater cisternal area than Manchega breed (24.0 vs. 12.4 cm2 ). MM and MSM percentages were higher and lower, respectively, in X1 udder halves in the studied breeds, but the differences were significant only in Majorera goats. Previously, Capote et al. (2009) found no differences in MM percentages between X1 (67.8%) and X2 (64.5%) in Tinerfeña goats of high milk production, while MSM percentages were higher in X2 (27.8%) than X1 (20.7%), and RM percentages were higher in X1 (11.5%) than X2 (7.7%), suggesting that an increase in milking frequency in a normal routine implies greater stimulation and thus a higher milk drop to the cisterns. Moreover, Majorera goats had a higher and lower MM and MSM percentages, respectively, than Tinerfeña and Palmera goats. Caja et al. (1999) explained that quantities of milk in each partition obtained by mechanical milking depend on the udder morphology and the development of cisternal and canalicular systems; which suggests a high variability between breeds and even between animals of same breed. RM percentages were not affected by the breed, and they were similar than those 5. Conclusion The results demonstrated that X2 practice did not improve the milk production of the Majorera and Tinerfeña breeds, so it is a consequence of the adaptation of these breeds to X1, which is an interesting issue in goat production systems, because it requires fewer variable costs. Nevertheless, the high increase in milk yield in the Palmera goats due to X2 could seem a profitable management at certain times during the lactation. However, this practice did not produce an increased in milk protein yield in accordance with milk yield. Therefore, other studies are required to evaluate how the milking frequency affects the cheese yield, which is a very important part of the Canary Islands livestock economy. Additionally, the knowledge of the structures of milk partitioning can serve as a basis for future selection programs to improve the milkability of the studied breeds. Furthermore, if a wider selection of breeds could be studied, ranging from low milk yielding to high milk yielding breeds, the relationship among milk fractions would be more noticeable. Conflict of interest None. Acknowledgment This work was supported by Fondo Europeo de Desarrollo Regional-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (FEDER-INIA) RTA200900125. Please cite this article in press as: Torres, A., et al., Comparison tion structures in dairy goats milked at different milking frequencies. http://dx.doi.org/10.1016/j.smallrumres.2013.04.013 81 between two milk distribuSmall Ruminant Res. (2013), Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias G Model RUMIN-4519; No. of Pages 6 6 ARTICLE IN PRESS A. Torres et al. / Small Ruminant Research xxx (2013) xxx–xxx References Nudda, A., Bencini, R., Mijatovic, S., Pulina, G., 2002. The yield and composition of milk in Sarda, Awassi, and Merino sheep milked unilaterally at different frequencies. J. Dairy Sci. 85, 2879–2884. Papachristoforou, C., Roushias, A., Mavrogenis, A.P., 1982. The effect of milking frequency on the milk production of Chios ewes and Damascus goats. Ann. Zootech. 31, 37–46. Peaker, M., Blatchford, D.R., 1988. Distribution of milk in the goat mammary gland and its relation to the rate and control of milk secretion. J. Dairy Res. 55, 41–48. Peris, S., Such, X., Caja, G., 1996. Milkability of Murciano-Granadina dairy goats. Milk partitioning and flow rate during machine milking according to parity, prolificacy and mode of suckling. J. Dairy Res. 63, 1–9. Rovai, M., Caja, G., Such, X., 2008. Evaluation of udder cisterns and effects on milk yield of dairy ewes. J. Dairy Sci. 91, 4622–4629. Salama, A.A.K., Such, X., Caja, G., Rovai, M., Casals, R., Albanell, E., Marín, M.P., Martí, A., 2003. Effects of once versus twice daily milking throughout lactation on milk yield and milk composition in dairy goats. J. Dairy Sci. 86, 1673–1680. Salama, A.A.K., Caja, G., Such, X., Peris, S., Sorensen, A., Knight, C.H., 2004. Changes in cisternal udder compartment induced by milking interval in dairy goats milked once or twice daily. J. Dairy Sci. 87, 1181–1187. Silanikove, N., Shamay, A., Shinder, D., Moran, A., 2000. Stress down regulates milk yield in cows by plasmin induced -casein product that blocks K+ channels on the apical membranes. Life Sci. 67, 2201–2212. Silanikove, N., Shapiro, F., Shinder, D., 2009. Acute heat stress brings down milk secretion in dairy cows by up-regulating the activity of the milkborne negative feedback regulatory system. BMC Physiol. 9, 13. Silanikove, N., Leitner, G., Merin, U., Prosser, C., 2010. Recent advances in exploiting goat’s milk: quality, safety and production aspects. Small Rumin. Res. 89, 110–124. Suárez-Trujillo, A., Capote, J., Argüello, A., Castro, N., Morales-delaNuez, A., Torres, A., Morales, J., Rivero, M., 2013. Effects of breed and milking frequency on udder histological structures in dairy goats. J. Appl. Anim. Res. 41, 166–172. Torres, A., Castro, N., Hernández-Castellano, L.E., Argüello, A., Capote, J., 2013. Effects of milking frequency on udder morphology, milk partitioning, and milk quality in 3 dairy goat breeds. J. Dairy Sci. 96, 1071–1074. Wall, E.H., McFadden, T.B., 2008. Use it or lose it: enhancing milk production efficiency by frequent milking of dairy cows. J. Anim. Sci. 86, 27–36. Wellnitz, O., Bruckmaier, R.M., Albrecht, C., Blum, J.W., 1999. Atosiban, an oxytocin receptor blocking agent: pharmacokinetics and inhibition of milk ejection in dairy cows. J. Dairy Res. 66, 1–8. Wilde, C.J., Knight, C.H., 1990. Milk yield and mammary function in goats during and after once-daily milking. J. Dairy Res. 57, 441–447. Bruckmaier, R.M., Paul, G., Mayer, H., Schams, D., 1997. Machine milking of Ostfriesian and Lacaune dairy sheep: udder anatomy, milk ejection and milking characteristics. J. Dairy Res. 64, 163–172. Bruckmaier, R.M., Blum, J.W., 1998. Oxytocin release and milk removal in ruminants. J. Dairy Sci. 81, 939–949. Caja, G., Capote, J., López, J.L., Peris, S., Such, X., Argüello, A., 1999. Milk partitioning and milk flow rate of Canarian dairy goats under once daily or twice daily milking frequencies. In: Barillet, F., Zervas, N.P. (Eds.), Milking and Milk Production of Dairy Sheep and Goats. Wageningen Pers, Wageningen, pp. 274–280. Capote, J., López, J.L., Caja, G., Peris, S., Argüello, A., Darmanin, N., 1999. The effects of milking once or twice daily throughout lactation on milk production of Canarian dairy goats. In: Barillet, F., Zervas, N.P. (Eds.), Milking and Milk Production of Dairy Sheep and Goats. Wageningen Pers, Wageningen, pp. 267–273. Capote, J., Castro, N., Caja, G., Fernández, G., Briggs, H., Argüello, A., 2008. Effects of the frequency of milking and lactation stage on milk fractions and milk composition in Tinerfeña dairy goats. Small Rumin. Res. 75, 252–255. Capote, J., Castro, N., Caja, G., Fernández, G., Morales-delaNuez, A., Argüello, A., 2009. The effects of the milking frequency and milk production levels on milk partitioning in Tinerfeña dairy goats. Milchwissenschaft 64, 239–241. Castillo, V., Such, X., Caja, G., Salama, A.A.K., Albanell, E., Casals, R., 2008. Changes in alveolar and cisternal compartments induced by milking interval in the udder of dairy ewes. J. Dairy Sci. 91, 3403–3411. Hernandez, L.L., Stiening, C.M., Wheelock, J.B., Baumgard, L.H., Parkhurst, A.M., Collier, R.J., 2008. Evaluation of serotonin as a feedback inhibitor of lactation in the bovine. J. Dairy Sci. 91, 1834–1844. Jarrige, J., 1990. Alimentación de bovinos, ovinos y caprinos (Nutrition in bovine, ovine and caprine), first ed. Mundi Prensa, Madrid, Spain. Komara, M., Boutinaud, M., Ben Chedly, H., Guinard-Flament, J., Marnet, P.G., 2009. Once-daily milking effects in high-yielding alpine dairy goats. J. Dairy Sci. 92, 5447–5455. Labussière, J., 1988. Review of the physiological and anatomical factors influencing the milking ability of ewes and the organization of milking. Livest. Prod. Sci. 18, 253–274. Marnet, P.G., Komara, M., 2008. Management systems with extended milking intervals in ruminants: regulation of production and quality of milk. J. Anim. Sci. 86, 47–56. Marnet, P.G., McKusick, B.C., 2001. Regulation of milk ejection and milkability in small ruminants. Livest. Prod. Sci. 70, 125–133. Please cite this article in press as: Torres, A., et al., Comparison tion structures in dairy goats milked at different milking frequencies. http://dx.doi.org/10.1016/j.smallrumres.2013.04.013 82 between two milk distribuSmall Ruminant Res. (2013), MANUSCRITO 3 MANUSCRITO 3 1 Short-term effects of milking frequency on milk yield, milk composition, SCC and 2 milk protein profile in dairy goats 3 Alexandr Torres1, Lorenzo-Enrique Hernández-Castellano2, Antonio 4 Morales-delaNuez2, Davinia Sánchez-Macías3, Isabel Moreno-Indias2, 5 Noemi Castro2, Juan Capote1 and Anastasio Argüello2* 6 1 Instituto Canario de Investigaciones Agrarias, La Laguna, Tenerife 38200, Spain. 7 2 Department of Animal Science, Universidad de Las Palmas de Gran Canaria, Arucas 8 35413, Spain. 9 3 Agroindustrial Engineering Department, Universidad Nacional de Chimborazo. 10 Riobamba 060150, Ecuador. 11 * Corresponding author: Anastasio Argüello, Fac. Veterinaria s/n, 35413 Arucas, Spain. 12 Tel.: +34 928451094; fax: +34 928451142. E-mail address: aarguello@dpat.ulpgc.es 13 14 15 16 17 18 19 20 21 22 23 24 1 85 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 25 The goats in Canary Islands are milked once daily by tradition, but in other areas, is 26 carried out two times, with an increase of milk yield. Therefore it is important know if 27 the increase of milking frequency can improve the production without impairing the 28 milk quality. The objective of this study was to investigate the short term effects of 3 29 milking frequencies on milk yield, milk composition, SCC, and milk protein profile in 30 dairy goats traditionally milked once a day. Twelve Majorera goats in early lactation (48 31 ± 4 d in milk) were used to determine the milk yield, milk composition, somatic cell 32 count, and milk protein profile at 3 different milking frequencies. During a 5-wk period, 33 goats were milked once a day (X1) at wk 1 and 5, twice a day (X2) at wk 2 and 4, and 34 three times a day (X3) at wk 3. Milk recording and sampling were done on the last day 35 of each experimental week. Milk yield increased by 26% from X1 to X2. No differences 36 were obtained when switched from X2 to X3, and from X3 to X2. The goats recovered 37 the production level when they returned to X1. Different patterns of changes in the milk 38 constituents due to milking frequency were observed. Fat percentages increased when 39 switched from X1 to X2, there was a significant decrease from X2 to X3, and continued 40 to decline as milking frequency was decreased. Protein and lactose percentages were 41 similar among X1, X2, and X3. SCC values were similar when goats were milked X1, 42 X2, and X3, but then increased slightly when milking frequency returned to X2 and X1. 43 Finally, different patterns were observed for caseins (αS1-CN, αS2-CN, β-CN, κ-CN). 44 Thus, milking frequency did not affect the proportion of αS1-CN in milk, while αS2-CN 45 and β-CN increased from X1 to X2, stayed stable from X2 to X3, and then decreased as 46 milking frequency decreased. In contrast, κ-CN decreased from X1 to X2, and 47 recovered to initial values when milking frequency was returned to X1. 48 49 Keywords: milking frequency, milk yield, milk quality, dairy goat. 2 86 MANUSCRITO 3 50 Goat research needs progress rapidly to reach the level of knowledge of other 51 species like cattle or sheep, especially in milk production (Argüello, 2011). Many 52 studies seek to implement management systems in dairy farms with extended milking 53 intervals, or to minimize additional cost associated with extra milking if it is 54 outweighed by the value of additional milk obtained as observed in dairy cows (Wall & 55 McFadden, 2008). Milking is done twice daily (X2) in countries with high-yielding 56 dairy goats (Capote et al. 2009). However, dairy farmers want to reduce their labor 57 requirements associated with milking, to devote time to other farm practices or to social 58 activities (Komara et al. 2009). In this way, the practice of once daily milking (X1) is 59 viewed with interest by dairy farmers. In contrast, thrice daily milking (X3) is a 60 relatively novel management practice and it is not generally used in small ruminants, 61 but in dairy cows it has emerged as an effective management tool for dairy farmers to 62 increase milk production (Wall & McFadden, 2008). 63 Silanikove et al. (2010) explained that high milk producing goats, as Saanen, 64 selected to high alveolar to cistern compartment ratio, are the most sensitive to changes 65 in milking frequency. In contrast, medium milk producing goats, as Majorera, may 66 attain their genetic potential for milk yield in X1 regimen due to selection for high 67 cistern capacity (Torres et al. 2013). Previous studies revealed losses in milk yield of 68 X1 of 8 to 45% compared to X2 (Mocquot & Auran, 1974; Capote et al. 2009) and 69 increases of 8 to 28% when the goats were milked X3 instead of X2 (Henderson et al. 70 1985; Boutinaud et al. 2003). The wide variation in milk yield due to milking frequency 71 in the literature reports is a consequence of differences in breed, lactation stage, level of 72 production, duration of X1, X2 or X3, and individual characteristics (Marnet & 73 Komara, 2008). Additionally, the regulation of milk components synthesis and somatic 3 87 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 74 cells are dependent on the milking intervals, which can influence on the milk quality 75 (Marnet & Komara, 2008). 76 The hypothesis of this research paper is that 3 milking frequencies might have 77 minor effect on milk yield and chemical composition in a goat breed that is generally 78 milked X1. In addition, no information regarding the influence of milking interval on 79 milk protein profile in dairy goats is available. Therefore, the objective of this study was 80 to investigate the short term effects of 3 milking frequencies on milk yield, milk 81 composition, SCC, and milk protein profile in dairy goats traditionally milked X1. 82 83 Materials and Methods 84 The experimental animal procedures were approved by the Ethical Committee of 85 the Universidad de Las Palmas de Gran Canaria. A total of 12 Majorera goats were in 86 second parity with 48 ± 4 DIM at the beginning of the experiment. The goats which 87 were used in the experiment were from the experimental farm of the Faculty of 88 Veterinary of this University. Kids were separated from their dams within 8 h of birth. 89 The milking frequency before the start of the experimental period was once per day. 90 During a 5-wk period, goats were milked: once daily at wk 1 and 5 (X1, at 09:00), twice 91 daily at wk 2 and 4 (X2, at 09:00 and 17:00), and thrice daily at wk 3 (X3, at 09:00, 92 13:00, and 19:00). The animals had access to wheat straw ad libitum and a vitamin- 93 mineral corrector. The supplement per goat was 800 g/d of alfalfa and 1200 g/d of a mix 94 of maize, lucerne, and dehydrated beetroot, which it meets the nutritional requirements 95 in accordance with the guidelines issued for lactating goats by Institut National de la 96 Recherche Agronomique (INRA, Paris, France; Jarrige, 1990). The amount of 97 supplement did not differ according to milking frequency. Goats were milked in a 98 double 12-stall parallel milking parlor (Alfa Laval Iberia SA, Madrid, Spain) equipped 4 88 MANUSCRITO 3 99 with recording jars (4 L ± 5%) and a low-line milk pipeline. Milking was performed at a 100 vacuum pressure of 42 kPa, a pulsation rate of 90 pulses/min, and a pulsation ratio of 101 60/40, in accordance with Capote et al. (2009). The milking routine included machine 102 milking and stripping milking, done by the operator to remove the remaining milk from 103 the udder before cluster removal; and teat dipping in an iodine solution (P3-cide plus; 104 Henkel Hygiene, Barcelona, Spain). 105 Milk recording and sampling were done on the last day of each experimental 106 week. Milk yield (L/d) was calculated by adding milk volume at every milking by using 107 the recording jars in the milking parlor. Milk samples (50 ml) were analyzed 108 immediately after collection at the a.m. milking to determine milk composition, SCC, 109 and milk protein profile. Fat, protein, lactose, and total solids percentages were 110 determined using a DMA2001 Milk Analyzer (Miris Inc., Uppsala, Sweden), and SCC 111 using a DeLaval somatic cell counter (DeLaval International AB, Tumba, Sweeden). 112 Milk proteins were separated by SDS-PAGE (12.5%) using a Bio-Rad slab 113 electrophoresis unit (Bio-Rad Laboratories, Hercules, CA, USA), based on the method 114 of Laemmli (1970). Protein concentration of the milk was determined with the Quick 115 Start™ Bradford Protein Assay (Bio-Rad Laboratories, Hercules, CA, USA), using 116 BSA as standard reference. Gels were loaded with a fixed protein level (40 µg) per line, 117 and were run at 200 V for 6 h. After electrophoresis, gels were stained for 90 min using 118 10% acetic acid, 40% methanol, and 0.05% (w/v) Coomassie Blue R-250 solution, and 119 then were destained for 15 h using 10% acetic acid and 40% methanol solution. The gel 120 images (Figure 1) were scanned (Gel Doc EQ, Bio-Rad Laboratories), and the relative 121 quantities of each band were determined by using the Quantity One software program 122 (Bio-Rad Laboratories). Each sample was analyzed on duplicate gels. Individual protein 5 89 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 123 species were identified by comparing their relative mobilities with those of standard 124 proteins (Precision Plus ProteinTM Unstained Standards, Bio-Rad Laboratories). 125 The statistical analyses were performed by using SPSS 15.0 software (SPSS 126 Inc., Chicago, IL). Repeated measures analysis of variance (ANOVA), with adjustments 127 for non-sphericity (Greenhouse-Geisser correction), was applied to evaluate time- 128 dependent milking frequency effects on milk yield and milk quality; followed by LSD 129 post-hoc tests. Statistical differences were considered significant at P < 0.05. Data are 130 presented as least squares means. 131 132 Results and Discussion 133 Milk yield increased by 26 ± 10% (P < 0.05) with increasing milking frequency 134 from X1 to X2 (Table 1). This increase in Majorera goats, which are traditionally 135 milked X1, was similar to loss caused by X1 (compared with X2) in Saanen goats 136 (26%) in late lactation reported by Boutinaud et al. (2003) during a short treatment 137 period (23 d). Subsequently, no significant differences in milk yield were obtained 138 between X2 and X3. This result does not agree with those of Boutinaud et al. (2003) 139 who found significant increases (8%) in milk yield for goats milked X3 compared with 140 X2. Finally, when the milking frequency was returned to X1, there was a recovery in 141 milk yield to initial values (P > 0.05). Previously, Capote et al. (2009) showed that 142 Tinerfeña goat breed, also generally milked X1, did not present significant increases 143 from X1 to X2 (9%) in high production level (> 2.4 L/d); but medium (between 1.9 and 144 2.4 L/d) and low (< 1.9 L/d) production level presented significant increases (25 and 145 20%, respectively) for 24 wks of lactation, suggesting that lower difference between X1 146 and X2 in high production goats is a consequence of a wider cisternal capacity which 147 allows a continuous drop of alveolar milk to the cistern, reducing the feedback inhibitor 6 90 MANUSCRITO 3 148 process and the intramammary pressure. Otherwise, the absence of increase from X2 to 149 X3 indicated that secretory activity of mammary cells was not modified at these 150 frequencies in goats usually milked X1. 151 Fat percentage had a significant increase when switched from X1 to X2, there 152 was a significant decrease from X2 to X3, and continued to decline as milking 153 frequency was decreased (Table 1). The higher fat content of X2 milk compared to X1 154 may be due to the length of the preceding milking interval, in X2 was 16 h and in X1 155 was 24 h. However, McKusick et al. (2002) in dairy ewes and Torres et al. (2013) in 156 dairy goats explained that transfer of milk fat from the alveoli to the cistern occurs 157 during early udder filling, and this transfer no longer takes place during later intervals. 158 In addition, some researchers have observed no effect of milking frequency on fat 159 percentage (Komara et al. 2009), whereas other studies have found a negative 160 correlation between milk yield and fat percentages due to milking frequency (Salama et 161 al. 2003). Capote et al. (1999) found that goats milked X2 showed a significant increase 162 in fat percentage compared to those animals milked X1, due to a higher proportion of 163 alveolar milk removed by X2 which is richer in fat. However, a decline in milk fat 164 fraction was observed when milking frequency was changed to X3 and then returned to 165 X2. Some research works on dairy ruminants studied the association of plasma cortisol 166 levels with different factors that cause stress as related to milking (Hopster et al. 2002; 167 Negrao et al. 2004). Previously, Raskin et al. (1973) found that cortisol may produce a 168 decrease in milk lipid formation from glucose and acetate. Therefore, more experiments 169 will be necessary to study the relationship between frequent milking and cortisol levels 170 in goats usually milked X1. 171 Milking frequency did not affect the protein percentages during the experimental 172 period (P > 0.05; Table 1). In accordance, Torres et al. (2013) reported no differences in 7 91 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 173 milk protein percentages due to milking frequency in cisternal and alveolar fractions of 174 3 dairy breeds traditionally milked X1. However, Boutinaud et al. (2003) showed a 175 higher protein content in Saanen goats milked X1 compared with X2 and X3, which 176 suggested a specific leakage of serum protein into milk after modification of the 177 permeability of the mammary epithelium at longer milking intervals. Nevertheless, the 178 ability to support the extended intervals between milking of some dairy goat breeds 179 could be related to the capacity of the tight junctions to remain tight for a long period, 180 without modification of secretion of milk components regulated by it (Marnet & 181 Komara, 2008). 182 Similarly to protein percentages, lactose concentration was unaffected by the 183 studied milking intervals (P > 0.05; Table 1). This is in agreement with the results by 184 Henderson et al. (1985) between X2 and X3 in Saanen goats and with Torres et al. 185 (2013) between X1 and X2 in Majorera goats. In this way, Capote et al. (1999) 186 reiterated the assertion that lactose is the lactic component least influenced by breeding 187 and milking factors, indicating a similar performance of the synthetic activity of the 188 mammary gland. 189 Total solids stayed stable from X1 to X2 (P > 0.05; Table 1), and decreased from 190 X2 to X3 (P < 0.05). No corresponding results for X3 are available in dairy goats for 191 comparison, but Capote et al. (1999) and Salama et al. (2003) reported significant 192 differences in total solids percentages (12.48 vs.12.84% and 13.60 vs.12.90% for X1 193 and X2, respectively) in dairy goats during an entire lactation. The milk total solids are 194 a mixture of fat, protein, lactose and mineral matter. Thus, any variation on these 195 constituents can affect its concentration. In this case, milk fat was the most variable 196 component among milking frequencies, which involved changes in total solids 197 percentages. 8 92 MANUSCRITO 3 198 SCC values were unaffected by milking frequency when goats were milked X1, 199 X2, and X3; but then increased slightly when milking frequency returned to X2 and X1 200 (Table 1). There is disagreement about the milking frequency effects on SCC levels. 201 Some researchers have observed no effect of frequent milking on SCC in cows (Klei et 202 al. 1997), and ewes (de Bie et al. 2000), both in early lactation. Boutinaud et al. (2003) 203 showed that SCC tended to increase in X1, whereas it remained stable in X3 compared 204 with X2 in dairy goats. Likewise, Lakic et al. (2011) explained that prolonged milking 205 intervals as well as short milking intervals have influence on the milk SCC in cows. 206 Kamote et al. (1994) suggested that the increase in SCC in extended milking intervals in 207 dairy cows could be explained by a concentration effect. Paape et al. (2001) described 208 those stressful events as changes in the milking routine, to which goats are very 209 sensitive, may cause an increase in SCC even in the absence of an intramammary 210 infection. Therefore, the high values of SCC obtained during the final period seem to be 211 related with a physiological stress to the mammary gland caused by the experiment. 212 Changes in milk protein profile were found due to milking frequency (Table 2). 213 Thus, different patterns were observed for caseins (αS1-CN, αS2-CN, β-CN, κ-CN). 214 Milking frequency did not affect the proportion of αS1-CN in milk, while αS2-CN and β- 215 CN increased from X1 to X2 (P < 0.05), stayed stable from X2 to X3, and then 216 decreased as milking frequency decreased. In contrast, κ-CN decreased from X1 to X2 217 (P < 0.05), and recovered to initial values when milking frequency was progressively to 218 X3 toward X1 (P > 0.05). Goats showed a significantly lower β-Lactoglobulin (β-Lg) 219 content in the final week of experimentation, whereas α-Lactalbumin (α-La) presented a 220 lower percentage when animals were milked X3. Lastly, there was not an effect of 221 milking frequency on lactoferrin (LF) and serum albumin (SA) concentration when 222 increasing from X1 to X3 (P > 0.05), and then had an enhanced trend when the milking 9 93 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 223 frequency returned to X1. Immunoglobulin G heavy- (IgH) and light-chain (IgL) had a 224 decrease in concentrations from X1 to X2, but these differences were significant only 225 for IgL, then were maintained from X2 to X3, and tended to increase at the end of the 226 experiment. 227 The results for caseins are consistent with observations in dairy cows by 228 Sorensen et al. (2001), who found higher proportions of α-CN and β-CN and lower κ- 229 CN when switched from X2 to X3 in either the long or the short term. However, these 230 authors indicated that β-Lg and α-La were not affected by milking frequency in the 231 short term. Regarding to SA, it has the same amino acid sequence as the blood serum 232 molecule, and it is commonly believed that SA enters the milk by leaking through the 233 epithelial tight junction from the systemic fluids, as was suggested by Boutinaud et al. 234 (2003). However, Shamay et al. (2005) showed that SA is produced and secreted by 235 epithelial cells into milk, indicating that it is part of the mammary gland innate immune 236 system. In addition, Hernández-Castellano et al. (2011) found that high milking 237 frequency affected the immunological milk parameters in Majorera goats, chiefly a 238 decreased on IgG concentration (immunosupression) presumably due to an increased in 239 the cortisol excretion by adrenal glands, caused by animal stress. 240 The changes in milk protein profile in cows have been associated with differing 241 proteolytic enzyme activities, such as plasmin, because the increase of milking 242 frequency reduces the time that milk is stored in the udder, and the time to degrade the 243 milk proteins is shorter (Sorensen et al. 2001). Previously, Bastian (1996) indicated that 244 plasmin causes degradation of β-CN to γ-CN, which influence the milk quality for 245 cheese production, and Grieve & Kitchen (1985) explained that κ-CN is more resistant 246 to proteolysis for bovine plasmin than α-CN and β-CN, which can explain that κ-CN 247 varied at the opposite to β-CN and αS2-CN when milking frequency was increased from 10 94 MANUSCRITO 3 248 X1 to X2. However, Svennersten-Sjaunja et al. (2007) reported a lower plasmin activity 249 when milking frequency was increased in dairy cows, but proteolytic degradation of 250 milk proteins was maintained. Therefore, more experiments will be necessary to 251 evaluate the plasmin activity at different milking frequencies and its effects on 252 degradation of milk proteins in dairy goats. 253 In conclusion, short-term changes of the normal milking frequency in goats 254 traditionally milked X1 during early lactation can affect milk production as reflected the 255 high increase in milk yield when milking frequency was increased from X1 to X2. 256 However, the changes in milk quality, especially in the fat content and milk protein 257 profile, requires new studies on how the milking frequency affect the yield and quality 258 of the cheeses, because the goat milk in Canary Islands is used mainly for cheese 259 production. In addition, the modification in milk yield did not take place when goats 260 were switched from X2 to X3, but the decreased in fat content requires further studies to 261 evaluate the factors that cause this decline. 262 263 This research was supported by grant AGL 2006-08444/GAN from the Spanish 264 Government. The authors want to thank A. Alavoine, G. Pons, V. Bissières, and S. 265 Cyrille from École Vetérinaire de Toulouse (France) for their technical assistance 266 during the experiment. 267 268 References 269 Argüello A 2011 Trends in goat research, a review. Journal of Applied Animal 270 271 272 Research 39 429–434 Bastian ED 1996 Plasmin in milk and dairy products: An update. International Dairy Journal 6 435–457 11 95 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 273 de Bie L, Berger YM & Thomas DL 2000 The effect of three times a day milking at the 274 beginning of lactation on the milk production of East Friesian crossbred ewes. 275 Proceedings of the 6th Great Lakes Dairy Sheep Symposium 1–9 276 Boutinaud M, Rousseau C, Keisler DH & Jammes H 2003 Growth hormone and 277 milking frequency act differently on goat mammary gland in late lactation. 278 Journal of Dairy Science 86 509–520 279 Capote J, López JL, Caja G, Peris S, Argüello A & Darmanin N 1999 The effects of 280 milking once or twice daily throughout lactation on milk production of Canaria 281 dairy goats. In Milking and milk production of dairy sheep and goats, pp 267– 282 273 (Ed. F Barillet & NP Zervas) Wageningen: Wageningen Pers 283 Capote J, Castro N, Caja G, Fernández G, Morales-delaNuez A & Argüello A 2009 The 284 effects of the milking frequency and milk production levels on milk partitioning 285 in Tinerfeña dairy goats. Milchwissenschaft 64 239–241 286 Grieve PA & Kitchen BJ 1985 Proteolysis in milk: the significance of the proteinases 287 originating from leucocytes and a comparison of the action of leucocyte, 288 bacterial and natural milk proteinases on casein. Journal of Dairy Research 101– 289 112 290 Henderson AJ, Blatchford DR & Peaker M 1985 The effects of long-term thrice-daily 291 milking on milk secretion in the goat: evidence for mammary growth. Quarterly 292 Journal of Experimental Physiology 70 557–565 293 Hernández-Castellano LE, Torres A, Alavoine A, Ruiz-Díaz MD, Argüello A, Capote C 294 & Castro N 2011 Effect of milking frequency on milk immunoglobulin 295 concentration (IgG, IgM and IgA) and chitotriosidase activity in Majorera goats. 296 Small Ruminant Research 98 70–72 12 96 MANUSCRITO 3 297 Hopster H, Bruckmaier RM, Van der Werf JTN, Korte SM, Macuhova J, Korte-Bouws 298 G & van Reenen CG 2002 Strees responses during milking; comparing 299 conventional and automatic milking in primiparous dairy cows. Journal of Dairy 300 Science 85 3206–3216 301 302 Jarrige J 1990 Alimentación de bovinos, ovinos y caprinos [Nutrition in cattle, sheep and goats]. Madrid: Mundi-Prensa 303 Kamote HI, Holmes CW, Mackenzie DDS, Holdaway RJ & Wickham BW 1994 Effects 304 of once-daily milking in later lactation on cows with either low or high initial 305 somatic cell counts. Proceedings of the New Zealand Society of Animal 306 Production 54 285–287 307 Klei LR, Lynch JM, Barbano D, Oltenacu P, Lednor AJ & Bandler DK 1997 Influence 308 of milking three times a day on milk quality. Journal of Dairy Science 80 427– 309 436 310 Komara M, Boutinaud M, Ben Chedly H, Guinard-Flament J & Marnet PG 2009 Once- 311 daily milking effects in high-yielding alpine dairy goats. Journal of Dairy 312 Science 92 5447–5455 313 314 Laemmli UK 1970 Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 227 680–685 315 Lakic B, Svennersten-Sjaunja K, Norell L, Dernfalk J & Östensson K 2011 The effect 316 of a single prolonged milking interval on inflammatory parameters, milk 317 composition 318 Immunopathology 140 110–118 and yield in dairy cows. Veterinary Immunology and 319 Marnet PG & Komara M 2008 Management systems with extended milking intervals in 320 ruminants: Regulation of production and quality of milk. Journal of Animal 321 Science 86 47–56 13 97 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 322 McKusick BC, Thomas DL, Berger YM & Marnet PG 2002 Effect of milking interval 323 on alveolar versus cisternal milk accumulation and milk production and 324 composition in dairy ewes. Journal of Dairy Science 85 2197–2206 325 Mocquot JC & Auran T 1974 Effets de différentes fréquences de traite sur la production 326 laitière des caprins [Effects of milking frequency on milk production of goats]. 327 Annales de Génétique et de Sélection Animale 6 463–476 328 Negrao JA, Porcionato MA, Passille A & Rushen J 2004 Cortisol in saliva and plasma 329 of cattle after ACTH administration and milking. Journal of Dairy Science 87 330 1713–1718 331 Paape MJ, Poutrel B, Contreras A, Marco JC & Capuco AV 2001 Milk somatic cells 332 and lactation in small ruminants. Journal of Dairy Science 84 E237–E244 333 Raskin RL, Raskin M & Baldwin RL 1973 Effects of chronic insulin and cortisol 334 administration on lactational performance and mammary metabolism in rats. 335 Journal of Dairy Science 56 1033–1041 336 Salama AAK, Such X, Caja G, Rovai M, Casals R, Albanell E, Marín MP & Martí A 337 2003 Effects of once versus twice daily milking throughout lactation on milk 338 yield and milk composition in dairy goats. Journal of Dairy Science 86 1673– 339 1680 340 Silanikove N, Leitner G, Merin U & Prosser C 2010. Recent advances in exploiting 341 goat's milk: Quality, safety and production aspects. Small Ruminant Research 89 342 110–124 343 Shamay A, Homans R, Fuerman Y, Levin I, Barash H, Silanikove N & Mabjeesh J 344 2005 Expression of albumin in nonhepatic tissues and its synthesys by the 345 bovine mammary gland. Journal or Dairy Science 88 569–576 14 98 MANUSCRITO 3 346 Sorensen A, Muir DD & Knight CH 2001 Thrice-daily milking throughout lactation 347 maintains epithelial integrity and thereby improves milk protein quality. Journal 348 of Dairy Research 68 15–25 349 Svennersten-Sjaunja K, Wiking L, Edvardsson A, Bavius A-K, Larsen LB & Nielsen 350 JH 2007 Effect of frequent milking on milk fat and protein. Journal of Animal 351 and Feed Sciences 16 151–155 352 Torres A, Castro N, Hernández-Castellano LE, Argüello A & Capote J 2013 Effects of 353 milking frequency on udder morphology, milk partitioning, and milk quality in 3 354 dairy goat breeds. Journal of Dairy Science 96 1071–1074 355 356 Wall EH & McFadden TB 2008 Use it or lose it: Enhancing milk production efficiency by frequent milking of dairy cows. Journal of Animal Science 86 27–36 357 358 359 360 361 362 363 364 365 366 367 368 369 15 99 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 370 Table 1. Milk yield, milk composition, and SCC from dairy goats milked at different 371 milking frequencies†‡ Milking Frequency§ X1 X2 X3 X2 X1 SEM P value Milk yield (L/d) 1.69b 2.13a 2.09a 2.01a 1.89b 0.127 0.001 Fat (%) 3.86b 4.38a 3.61b 3.34c 3.13c 0.084 0.001 Protein (%) 3.39 3.06 3.07 3.03 3.12 0.054 0.073 Lactose (%) 5.17 5.09 5.26 5.21 5.22 0.035 0.514 Total Solids (%) 13.24a 13.34a 12.74b 12.26c 12.30c 0.109 0.001 SCC (log/ml) 5.99ab 5.82b 5.88ab 6.21a 6.06a 0.077 0.050 372 a–c 373 † Data are least squares means and standard error of means 374 ‡ Milk composition and SCC were determined with milk samples from a.m. milking for 375 X2 and X3 376 § X1 = once daily; X2 = twice daily; X3 = thrice daily Means with different superscripts within the same row are different (P < 0.05) 377 378 379 380 381 382 383 384 385 386 16 100 MANUSCRITO 3 387 Table 2. Protein profile from dairy goats milked at different milking frequencies†‡ Milking Frequency§ Protein (%)¶ X1 X2 X3 X2 X1 SEM P value αS1-CN 11.15 10.41 11.67 10.03 10.36 0.399 0.302 αS2-CN 16.22bc 20.86a 20.63a 18.05b 15.70c 0.975 0.001 β-CN 21.63b 25.95a 25.29a 24.39ab 22.85b 0.692 0.021 κ-CN 12.01a 9.24b 9.64b 8.29b 9.84ab 0.513 0.038 β-Lg 14.67a 15.44a 14.68a 15.39a 12.96b 0.449 0.045 α-La 10.43a 10.30ab 8.73b 9.95ab 11.52a 0.509 0.050 LF 3.02b 1.57b 2.10b 3.66ab 4.97a 0.558 0.007 SA 3.91ab 2.40b 3.22b 4.89a 5.30a 0.501 0.001 IgH 3.74ab 2.38b 2.61ab 3.28ab 4.20a 0.390 0.042 IgL 3.17a 1.45b 1.43b 2.09ab 2.31ab 0.421 0.010 388 a–c 389 †Data are least squares means and standard error of means 390 ‡Protein profile was determined with milk samples from a.m. milking for X2 and X3 391 § X1 = once daily; X2 = twice daily; X3 = thrice daily 392 ¶ CN = casein; β-Lg = β-lactoglobulin; α-La = α-lactalbumin; LF = lactoferrin; SA = 393 serum albumin; IgH = immunoglobulin G heavy-chain; IgL = immunoglobulin G light- 394 chain Means with different superscripts within the same row are different (P < 0.05) 395 396 397 398 399 17 101 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 400 Figure 1. SDS-PAGE patterns of milk proteins from dairy goats (lanes 1–9 and 11–13) 401 milked at different milking frequencies (X1 = once daily; X2 = twice daily; X3 = thrice 402 daily). 403 18 102 MANUSCRITO 4 MANUSCRITO 4 1 Effects of oxytocin treatments on milk production in dairy goats 2 A. Torres,* J. Capote,* A. Argüello,† D. Sánchez-Macías,‡ A. Morales-delaNuez,† 3 and N. Castro,†1 4 *Instituto Canario de Investigaciones Agrarias, La Laguna, Tenerife 38200, Spain. 5 †Department of Animal Science, Universidad de Las Palmas de Gran Canaria, Arucas 6 35413, Spain. 7 ‡Universidad Nacional de Chimborazo, Riobamba 060150, Ecuador. 8 1 9 Tel.: +34 928451093; fax: +34 928451142. E-mail address: ncastro@dpat.ulpgc.es Corresponding author: Noemi Castro, Fac. Veterinaria s/n, Arucas 35413, Spain. 10 11 ABSTRACT 12 Two experiments were conducted to determine the effects of oxytocin treatments on 13 milk ejection. In experiment 1, 39 dairy goats in mid lactation (95 ± 10 days in milk) 14 were divided into 3 groups (n = 13) with similar milk yields. During an 8-wk period, 15 goats from group 1 (OT1) were introduced to the milking parlor once a week, 10 h after 16 morning milking, and all pre-milking routines were carried out, including stripping 2 to 17 3 squirts of milk from each teat, but the animals were not milked. During this period, 18 goats from group 2 (OT2) were injected intravenously with 2 IU of oxytocin in the 19 crowd pen once a week, 10 h after morning milking, but the animals were not milked. 20 Goats from group 3 (control) remained in the pen without any treatment. In experiment 21 2, 10 dairy goats in mid lactation (104 ± 5 days in milk) were divided into 5 groups (n = 22 2) with similar milk yields. During a 6-wk period, goats were milked once daily, except 23 for one day a week, when they were milked 3 additional times (at 1200, 1600, and 2000 24 h). On this day, after each milking, goats were administered intravenously with a dose 25 corresponding to oxytocin (0.5, 1, 2, and 4 IU), or saline solution (control). Machine 1 105 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 26 milk and residual milk were recorded for each group. Additionally, milk yield, chemical 27 composition, and SCC of each group were determined for the 3 following days after 28 applying the treatments. In experiment 1, milk yield and milk composition were not 29 affected by OT1 and OT2, indicating that the oxytocin release by the stimulatory effect 30 of milking procedures or the administration of synthetically manufactured oxytocin, 31 have no galactopoietic effect on goats not milked immediately. In experiment 2, milk 32 partitioning and milk composition did not differ due to oxytocin treatments at 1200, 33 1600 and 2000 h, indicating that the contraction of the myoepithelial cells that surround 34 the mammary alveoli is similar between low and high doses of oxytocin. In addition, the 35 evolution of milk yield and SCC after the experimental day was not affected by the 36 treatments with oxytocin. 37 38 Keywords: oxytocin, dairy goat, milk yield, milk partitioning. 39 INTRODUCTION 40 41 In ruminants, milk ejection is a neuroendocrine reflex arc and it occurs in 42 response to suckling, manual stimulation of the mammary gland, or machine milking 43 (Macuhova et al., 2004). These stimulations cause on the udder the release of oxytocin 44 from the neural lobe of the pituitary into blood circulation, which induces contraction of 45 myoepithelial cells that surround the alveoli where milk is stored, and transfer it into the 46 cisternal space (Lollivier et al., 2002; Bruckmaier, 2003). However, not all alveolar 47 milk can be ejected if milk is not removed from the udder (Bruckmaier and Blum, 48 1998). 49 Depending on the stimulation of the mammary gland, it causes different 50 oxytocin responses. Suckling is a more potent stimulus than milking, while hand 2 106 MANUSCRITO 4 51 milking induces a more pronounced release of oxytocin than machine milking (Akers 52 and Lefcourt, 1982; Gorewit et al., 1992). Furthermore, prestimulation before milking is 53 important because it increases oxytocin levels and promotes early induction of milk 54 ejection to avoid an interruption of milk flow during early milking (Bruckmaier, 2001). 55 However, milk ejection during machine milking is not complete, even with an adequate 56 prestimulation. Usually a residual milk fraction remains in the udder which can be 57 obtained by injection of oxytocin, and it varies widely between breeds and even 58 between animals of the same breed (Peaker and Blatchford, 1988; Such et al., 1999). 59 Milk ejection in goats, in response to oxytocin, is similar to cows and sheep, but 60 milk removal is different due to udder morphology and milk partitioning (Bruckmaier 61 and Blum, 1998). In goats, oxytocin release is highly variable within and between 62 animals, being readily induced by tactile prestimulation or by the milking machine 63 (Bruckmaier and Blum, 1998; Marnet and McKusick, 2001). 64 In experiments of unilateral milking frequency of dairy goats, the effect of 65 oxytocin on milk yield and milk composition of the unmilked gland is still unknown. 66 For this reason, the first objective of the present study was to determine the effects of 67 endogenous and exogenous oxytocin on milk parameters in goats not milked 68 immediately. In addition, the second objective was to study the response to different 69 doses of exogenous oxytocin on milk ejection in dairy goats. 70 71 72 MATERIALS AND METHODS Animal and Management Conditions 73 Two experiments were conducted on a total of 49 dairy goats in mid lactation. 74 The experiment 1 was performed on the experimental farm of the Instituto Canario de 75 Investigaciones Agrarias (Tenerife, Spain) on 39 dairy goats, while the experiment 2 3 107 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 76 was carried out on the experimental farm of the Faculty of Veterinary of the 77 Universidad de Las Palmas de Gran Canaria (Arucas, Spain) on 10 dairy goats. The 78 experimental animal procedures were approved by the Ethical Committee of the 79 Universidad de Las Palmas de Gran Canaria. The animals were fed with maize, lucerne, 80 dehydrated beetroot, wheat straw, and a vitamin-mineral corrector in accordance with 81 the guidelines issued for lactating goats by Institut National de la Recherche 82 Agronomique (INRA, Paris, France; Jarrige, 1990). In both experiments, goats were 83 milked in a double 12-stall parallel milking parlor equipped with recording jars (4 L ± 84 5%) and a low-line milk pipeline. Milking was performed at a vacuum pressure of 42 85 kPa, a pulsation rate of 90 pulses/min, and a pulsation ratio of 60/40, in accordance with 86 Capote et al. (2006). The milking routine included wiping dirt off teat ends and 87 stripping 2 to 3 squirts of milk from each teat; machine milking and stripping milking, 88 done by the operator to remove the milk remaining in the udder before cluster removal; 89 and teat dipping in an iodine solution (P3-cide plus; Henkel Hygiene, Barcelona, Spain). 90 91 Experimental Procedures 92 Experiment 1. 39 Canarian dairy goats in second parity, with 95 ± 10 DIM, 93 were divided into 3 groups (n = 13) with similar milk yields. All goats were milked 94 once daily (at 0700 h) according to the normal milking routine. During an 8-wk period, 95 goats from group 1 (OT1) were introduced to the milking parlor once a week, 10 h after 96 morning milking, and all pre- and post-milking routines were carried out, including 97 stripping 2 to 3 squirts of milk from each teat and dipping of teats in an iodine solution 98 (P3-cide plus; Henkel Hygiene, Barcelona, Spain), but the animals were not milked. 99 Before the experimental period, OT1 goats were exposed to 3 wk of adaptation, where 100 the animals began to enter the milking parlor in the afternoon. During the experimental 4 108 MANUSCRITO 4 101 period, goats from group 2 (OT2) were injected intravenously with 2 IU of oxytocin 102 (Oxiton; Laboratorios Ovejero, León, Spain) in the crowd pen once a week, 10 h after 103 morning milking, but the animals were not milked at this time. Goats from group 3 104 (control) remained in the pen without any treatment. Milk recording and sampling were 105 done the next day at the morning milking. 106 Experiment 2. 10 Canarian dairy goats in second parity, with 104 ± 5 DIM, 107 were divided into 5 groups (n = 2) with similar milk yields. During a 6-wk period, goats 108 were milked once daily (at 0800 h), except one day a week, when they were milked 3 109 additional times (at 1200, 1600, and 2000 h). On this day, milk was collected after each 110 milking (machine milk), and after the complete cessation of milk flow, the groups were 111 injected intravenously with a dose corresponding to oxytocin (0.5, 1, 2, and 4 IU), or 112 saline solution (control) to remove the remainder of milk in the udder (residual milk). 113 Total milk was defined as machine milk plus residual milk. Additionally, milk yield, 114 milk composition (fat, protein and lactose), and SCC of each group were determined for 115 the 3 following days after applying the treatments. 116 In experiment 1, milk volumes were recorded by using the recording jars in the 117 milking parlor, while milk of each fraction of the experiment 2 was measured by a 118 graduated cylinder. Milk samples (experiment 1 and 2) were analyzed immediately after 119 collection to determine chemical composition. Fat, protein and lactose percentages were 120 determined by using a DMA2001 Milk Analyzer (Miris Inc., Uppsala, Sweden), and 121 SCC using a DeLaval somatic cell counter (DeLaval International AB, Tumba, 122 Sweeden). 123 124 Statistical Analysis 125 The statistical analyses were performed by using SPSS 15.0 software (SPSS 126 Inc., Chicago, IL). Repeated measures analysis of variance (ANOVA), with adjustments 5 109 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 127 for non-sphericity (Greenhouse-Geisser correction), was applied to evaluate time- 128 dependent effects of OT1 and OT2 on milk yield and milk composition (experiment 1), 129 and doses of oxytocin on milk partitioning and milk composition (experiment 2), 130 followed by LSD post-hoc tests. Differences among experimental groups (experiment 1 131 and 2) were evaluated using a multiple comparison test following the Tukey method. 132 Statistical differences were considered significant at P < 0.05. Data are presented as 133 estimated marginal means. 134 RESULTS AND DISCUSSION 135 136 Experiment 1. 137 In the 3 studied groups, it was observed, as expected, a decrease in milk yield at 138 the end of the experimental period (P < 0.05; Table 1). Capote et al. (2008) observed a 139 significant decrease in milk yield throughout lactation in dairy goats (2.51 vs. 2.08 L/d 140 in 12 and 20 weeks of lactation, respectively). The decline in milk production with 141 advancing lactation has been attributed to a gradual decrease in number of secretory 142 cells (Knight and Peaker, 1984). No differences were detected in milk yield (P > 0.05) 143 in any week of experimentation due to treatments. Therefore, the results indicate that 144 the oxytocin release by the stimulatory effect of milking procedures or the 145 administration of synthetically manufactured oxytocin, have no galactopoietic effect in 146 goats not milked immediately. Some studies have indicated that oxytocin release is not 147 an important factor for milk yield gain in small ruminants with large cisterns (Negrao et 148 al., 2001; Marnet and McKusick, 2001). However, it has been indicated that oxytocin 149 doses induce an increase in milk yield proportional to the capacity of cisternal storage 150 but only when accompanied by milk removal (Lollivier and Marnet, 2005a). 6 110 MANUSCRITO 4 151 Oxytocin treatments did not affect the milk composition (Table 1). Lollivier and 152 Marnet (2005b) observed changes in protein content due to oxytocin injection in dairy 153 goats not milked immediately (28.9 vs. 27.6 g/kg in control and oxytocin group, 154 respectively), but fat (33.2 vs. 34.3 g/kg) and lactose contents (44.9 vs. 45.3 g/kg) were 155 unaffected. In cows, Caja et al. (2004) demonstrated a back-flux of milk to the ductal 156 and alveolar compartments when they are not milked promptly after milk letdown, 157 which influences the transference of milk components, as the upward movement of the 158 fat globules in the opposite direction to the downward draining and newly secreted milk 159 (Ayadi et al., 2004). However, Salama et al. (2004) indicated the absence of recoil and 160 milk return from cistern to alveoli in goats, due to the greater cisternal milk percentages 161 and the small contact surface between the alveolar and cisternal compartments. 162 163 Experiment 2. 164 Total milk volumes and percentages of machine milk and residual milk at 1200, 165 1600 and 2000 h are presented in Table 2. No differences were observed in total milk 166 volumes due to treatments at different milking times (P > 0.05). Since the control goats 167 were not subjected to a complete emptying of the udder, the milk accumulated in the 168 alveoli and small ducts was transferred to the cistern and was obtained in the next 169 milking; while the other goats began to store milk in the alveolar tissue which was 170 ejected after having received doses of oxytocin. Thus, there was no effect of treatments 171 on total milk volume within the udder. On the other hand, percentages of residual milk 172 obtained after saline solution injection were lower (P < 0.05) in control group (< 20%) 173 than oxytocin groups (ranged from 38.31 to 59.79%) at 1200, 1600 and 2000 h, which 174 corroborate that oxytocin has an effect on the milk transfer from alveolar tissue to 175 cistern. Moreover, the absence of differences in the milk partitioning among the 4 7 111 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 176 oxytocin groups at these intervals (P > 0.05), could indicate that the contraction of the 177 myoepithelial cells that surround the mammary alveoli is similar between low and high 178 doses of oxytocin. Previously, Lollivier et al. (2002) have indicated that a complete 179 milk removal is obtained following intravenous injection with 0.1 to 1 IU of oxytocin in 180 dairy goats. 181 Fat, protein and lactose percentages in machine and residual milk are shown in 182 Table 3. Fat percentages in machine milk significantly decreased between 1200 and 183 1600 h for the studied groups, and although another decline was observed between 1600 184 and 2000 h, the differences were not significant. A similar pattern was detected in fat 185 fractions of residual milk for the oxytocin groups between 1200 and 1600h. This decline 186 in milk fat content of both fractions could be due to cortisol released in response to the 187 stress caused by the experiment. Some research work on dairy ruminants studied the 188 association of plasma cortisol levels with different factors that cause stress in animals 189 (e.g., milking) (Hopster et al., 2002; Negrao et al., 2004). Previously, Raskin et al. 190 (1973) found that cortisol may produce a decrease in milk lipid formation from glucose 191 and acetate. In addition, no differences were observed in fat percent in milk fractions 192 among oxytocin groups at any studied milking time (P > 0.05). Gorewit and Sagi (1984) 193 observed that fat percentage in total residual milk was not affected by administration of 194 different doses of oxytocin (0.5, 1, 1.5, 2, and 3 IU) in dairy cows, but they used 195 different experimental techniques for determination of residual milk. 196 Protein and lactose percentages in machine milk and residual milk were not 197 affected due to oxytocin doses at 1200, 1600 and 2000 h (P > 0.05). In cows, some 198 authors claim that there is no modification of milk protein and lactose contents 199 regardless if oxytocin is administered over medium or long periods of time, indicating 200 that the effect of oxytocin is not manifested through an effect on cell activity (Nostrand 8 112 MANUSCRITO 4 201 et al., 1991; Ballou et al., 1993). However, Gorewit and Sagi (1984) observed that milk 202 protein percentage was lower for those cows receiving higher doses of oxytocin, 203 attributed to a dilution effect as a result of increased total milk yield. 204 Milk yield, chemical composition and SCC before (day 0) and after (day 1–3) 205 injecting different treatments are presented in Table 4. In all groups, an expected 206 decrease in milk yield at day 1 after applying the treatments was observed (P < 0.05). 207 This was because 12 hours had elapsed since the last milking. Therefore, the goats 208 stored less milk inside the udder. However, there was no effect due to treatments on 209 milk production in the following days (P > 0.05), recovering similar values to day 0. 210 Bruckmaier (2003) and Macuhova et al. (2004) found a reduction of milk ejection when 211 chronic oxytocin treatment (50 IU) was withdrawn in dairy cows. It seems that the 212 reduction of spontaneously removed milk was caused by reduced contractibility of 213 myoepithelial cells in the mammary gland at the normal physiological oxytocin 214 concentrations (Macuhova et al., 2004). 215 Fat percentages declined significantly at days 1 and 2 in all studied groups, but 216 at day 3 it reached similar values to day 0 (Table 4). In contrast, protein contents 217 increased at days 1 and 2, and subsequently decreased. Lactose percentages did not 218 show significant changes in the following days after experiment. This behavior could be 219 due to different regulatory mechanisms for secretion of milk components. No statistical 220 differences were found in SCC levels for the experimental days in the oxytocin groups 221 (Table 4). Allen (1990) observed that milk SCC increased in a dose dependent manner 222 at 12, 24, 36, 48, 60, and 72 h after the injected dose (1, 10, 100, or 1000 IU), and some 223 cows had a mastitis-like response with clots in the milk. Finally, variability of SCC 224 among the groups was high, and may be due to multiple individual factors (e.g., oestrus) 225 and not necessarily a response caused by treatments. 9 113 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 226 CONCLUSIONS 227 228 The oxytocin release by the stimulatory effect of milking procedures or the 229 administration of synthetically manufactured oxytocin had no galactopoietic effect and 230 did not produce apparent changes in the milk composition on goats not milked 231 immediately, and that are traditionally milked once a day. Likewise, it did not produce 232 apparent changes in the milk composition. In addition, the absence of differences in the 233 milk partitioning and milk composition among the administration of 4 doses of oxytocin 234 indicated that the contraction of the myoepithelial cells that surround the mammary 235 alveoli is similar between low and high doses of oxytocin in dairy goats milked once a 236 day by tradition. 237 ACKNOWLEDGMENTS 238 239 This work was supported by Fondo Europeo de Desarrollo Regional-Instituto 240 Nacional de Investigación y Tecnología Agraria y Alimentaria (FEDER-INIA) 241 RTA2009-00125. 242 243 REFERENCES 244 Akers, R. M., and A. M. Lefcourt. 1982. Milking- and suckling- induced secretion of 245 oxytocin and prolactin in parturient dairy cows. Horm. Behav. 15:87–93. 246 Allen, J. C. 1990. Milk synthesis and secretion rates in cows with milk composition 247 changed by oxytocin. J. Dairy Res. 73:975–984. 248 Ayadi, M., G. Caja, X. Such, M. Rovai, and E. Albanell. 2004. Effect of different 249 milking intervals on the composition of cisternal and alveolar milk in dairy 250 cows. J. Dairy Res. 71:304–310. 10 114 MANUSCRITO 4 251 Ballou, L. U., J. L. Bleck, G. T. Bleck, and R. D. Bremel. 1993. The effects of daily 252 oxytocin injections before and after milking on milk production, milk plasmin, 253 and milk composition. J. Dairy Sci. 76:1544–1549. 254 255 256 257 258 259 Bruckmaier, R. M., and J. W. Blum. 1998. Oxytocin release and milk removal in ruminants. J. Dairy Sci. 81:939–949. Bruckmaier, R. M. 2001. Milk ejection during machine milking in dairy cows. Livest. Prod. Sci. 81:121–124. Bruckmaier, R. M. 2003. Chronic oxytocin treatment causes reduced milk ejection in dairy cows. J. Dairy Res. 70:123–126. 260 Caja, G., M. Ayadi, and C. H. Knight. 2004. Changes in cisternal compartment based on 261 stage of lactation and time since milk ejection in the udder of dairy cows. J. 262 Dairy Sci. 87:2409–2415. 263 Capote, J., A. Argüello, N. Castro, J. L. López, and G. Caja. 2006. Correlations between 264 udder morphology, milk yield and milking ability with different milking 265 frequencies in dairy goats. J. Dairy Sci. 89:2076–2079. 266 Capote, J., Castro, N., Caja, G., Fernández, G., Briggs, H., Argüello, A., 2008. Effects 267 of the frequency of milking and lactation stage on milk fractions and milk 268 composition in Tinerfeña dairy goats. Small Rumin. Res. 75, 252–255. 269 270 Gorewit, R. C., and R. Sagi. 1984. Effects of exogenous oxytocin on production and milking variables of cows. J. Dairy Sci. 67:2050–2054. 271 Gorewit, R. C., K. Svennersten, W. R. Butler, and K. Uvnas-Moberg. 1992. Endocrine 272 responses in cows milked by hand and machine. J. Dairy Sci. 75:443–448. 273 Hopster, H., R. M. Bruckmaier, J. T. N. Van der Werf, S. M. Korte, J. Macuhova, G. 274 Korte-Bouws, and C. G. van Reenen. 2002. Stress responses during milking; 11 115 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 275 comparing conventional and automatic milking in primiparous dairy cows. J. 276 Dairy Sci. 85:3206–3216. 277 278 279 280 Jarrige, J. 1990. Alimentación de bovinos, ovinos y caprinos. 1st ed. Mundi-Prensa, Madrid, Spain. Knight, C. H., and M. Peaker. 1984. Mammary development and regression during lactation in goats in relation to milk secretion. Q. J. Exp. Physiol. 69:331–338. 281 Lollivier, V., J. Guinard-Flament, M. Ollivier-Bousquet, and P. G. Marnet. 2002. 282 Oxytocin and milk removal: two important sources of variation in milk 283 production and milk quality during and between milkings. Reprod. Nutr. Dev. 284 42:173–186. 285 Lollivier, V., and P. G. Marnet. 2005a. Galactopoietic effect of milking in lactating 286 Holstein cows: Role of physiological doses of oxytocin. Livest. Prod. Sci. 287 95:131–142. 288 Lollivier, V., and P. G. Marnet. 2005b. Comparative study of the galactopoietics effect 289 of oxytocin during and between milkings in cows and goats. ICAR Technical 290 Series. 10:41–47. 291 Macuhova, J., V. Tancin, and R. M. Bruckmaier. 2004. Effects of oxytocin 292 administration on oxytocin release and milk ejection. J. Dairy Sci. 87:1236– 293 1244. 294 295 Marnet, P. G., and B. C. McKusick. 2001. Regulation of milk ejection and milkability in small ruminants. Livest. Prod. Sci. 70:125–133. 296 Negrao, J. A., P. G. Marnet, and J. Labussière. 2001. Effect of milking frequency on 297 oxytocin release and milk production in dairy ewes. Small Rumin. Res. 39:181– 298 187. 12 116 MANUSCRITO 4 299 Negrao, J. A., M. A. Porcionato, A. Passille, and J. Rushen. 2004. Cortisol in saliva and 300 plasma of cattle after ACTH administration and milking. J. Dairy Sci. 87:1713– 301 1718. 302 Nostrand S. D., D. M. Galton, H. N. Erb, and D. E. Bauman. 1991. Effects of daily 303 exogenous oxytocin on lactation milk yield and composition, J. Dairy Sci. 304 74:2119–2127. 305 Peaker, M., and D. R. Blatchford. 1988. Distribution of milk in the in the goat 306 mammary gland and its relation to the rate and control of milk secretion. J. Dairy 307 Res. 55: 41–48. 308 Raskin, R. L., M. Raskin, and R. L. Baldwin. 1973. Effects of chronic insulin and 309 cortisol administration on lactational performance and mammary metabolism in 310 rats. J. Dairy Sci. 56:1033–1041. 311 Salama, A. A. K., G. Caja, X. Such, S. Peris, A. Sorensen, and C. H. Knight. 2004. 312 Changes in cisternal udder compartment induced by milking interval in dairy 313 goats milked once or twice daily. J. Dairy Sci. 87:1181–1187. 314 Such, X., G. Caja, and L. Pérez. 1999. Comparison of milking ability between 315 Manchega and Lacaune dairy ewes. Pages 45–50 in Milking and milk 316 production of dairy sheep and goats. EAAP Publication No. 95. F. Barillet and 317 N. P. Zervas, Wageningen Pers., Wageningen, The Netherlands. 318 319 320 321 322 323 13 117 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 324 Table 1. Milk yield and milk composition of goats subjected to different oxytocin treatments.1 Experimental weeks Parameter Treatment Fat (%) Protein (%) Lactose (%) 1 2 3 2.13 a 2.15 a 2.15 a 2.10 a OT2 2.04 a 1.98 a Control 4.62 4.63 OT1 4.34 OT2 4 2.05 a 2.14 a 5 6 2.04 a 2.08 a 2.06 a 4.56 4.67 4.72 4.55 4.48 4.34 4.42 4.44 4.52 Control 3.82 3.80 OT1 3.81 OT2 Control Milk yield (L/d) 2 2.05 a 2.09 a 2.06 a 7 2.05 a 1.95 2.03 1.84 0.060 0.072 1.92 1.83 b 0.055 4.78 4.72 4.86 0.040 4.37 4.40 4.40 4.55 0.048 4.60 4.48 4.68 4.75 4.76 0.037 3.81 3.83 3.86 3.87 3.88 3.89 0.016 3.79 3.75 3.79 3.77 3.79 3.80 3.81 0.014 3.88 3.83 3.84 3.88 3.86 3.89 3.92 3.93 0.013 Control 5.02 5.04 5.06 4.97 5.02 4.93 4.92 4.88 0.021 OT1 5.11 5.13 5.09 5.07 5.12 5.06 4.99 4.94 0.015 OT2 5.05 5.05 5.09 5.01 5.09 5.01 5.01 4.92 0.023 1.95 ab ab b ab 2.05 1.98 SEM b b OT1 ab 8 ab 325 a–b 326 1 Data are estimated marginal means and standard error of means. 327 2 Treatment: OT1 = endogenous oxytocin; OT2 = exogenous oxytocin. 1.85 Means with different superscripts within the same row are different (P < 0.05). 328 329 330 331 332 333 334 335 336 337 338 339 14 118 MANUSCRITO 4 340 Table 2. Total milk volume and milk partitioning of goats injected with different doses of 341 oxytocin at 4-h milking intervals.1 Milking time (h) Parameter Treatment 1200 1600 2000 SEM Control 277.42 244.58 248.92 21.517 0.5 IU 264.17 278.17 329.83 13.037 1 IU 278.58 225.42 265.00 9.762 2 IU 285.00 263.83 290.42 14.550 4 IU 290.67 277.67 297.33 14.616 Control 82.48x 81.92x 87.94x 2.443 53.95 y 57.25 y 59.13 y 3.846 49.64 y 51.61 y 53.87 y 3.287 2 IU 52.06 y 49.55 y 48.97 y 3.002 4 IU 40.21b,y 57.94a,y 61.69a,y 3.316 Control 17.52y 18.08y 12.06y 2.443 46.05 x 42.75 x 40.87 x 3.846 50.36 x 48.39 x 46.13 x 3.287 2 IU 47.94 x 50.45 x 51.03 x 3.002 4 IU 59.79a,x Total milk (ml) 0.5 IU Machine milk (%) 1 IU 0.5 IU Residual 1 IU milk (%) 342 a–b 343 x–y 344 0.05). 345 1 42.06b,x 38.31b,x 3.316 Means with different superscripts within the same row are different (P < 0.05). Means with different superscripts within the same column for each item are different (P < Data are estimated marginal means and standard error of means. 346 347 348 349 350 351 352 15 119 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias 353 Table 3. Milk composition of machine milk and residual milk of goats injected with different 354 doses of oxytocin at 4-h milking intervals.1 Milking time (h) Parameter Treatment 1200 1600 2000 SEM Control 5.12a 4.22b 3.86b 0.125 5.02 a 4.00 b 3.64 b 0.139 5.21 a 4.33 b 3.78 b 0.223 2 IU 6.05 a 4.62 b 4.13 b 0.170 4 IU 5.58a 4.02b 3.71b 0.170 Control 5.19a 4.67ab 4.26b 0.129 4.83 a 3.95 b 4.00 b 0.131 5.78 a 4.07 b 4.38 b 0.195 2 IU 5.83 a 4.16 b 4.46 b 0.156 4 IU 5.55a 4.01b 4.18b 0.162 Control 2.87 2.98 2.81 0.075 Protein 0.5 IU 2.43 2.73 2.74 0.079 machine 1 IU 2.64 2.97 2.77 0.078 milk (%) 2 IU 2.73 2.91 3.07 0.075 4 IU 2.75 3.24 3.23 0.100 Control 3.16 3.41 3.40 0.112 Protein 0.5 IU 2.89 3.17 2.96 0.089 residual 1 IU 2.86 3.39 3.17 0.086 milk (%) 2 IU 3.04 3.45 3.19 0.097 4 IU 3.45 3.71 3.56 0.063 Control 4.48 4.55 4.59 0.029 Lactose 0.5 IU 4.45 4.68 4.62 0.057 machine 1 IU 4.52 4.68 4.73 0.042 milk (%) 2 IU 4.44 4.54 4.44 0.041 4 IU 4.50 4.41 4.45 0.045 Control 4.87 4.94 4.95 0.026 Lactose 0.5 IU 4.79 4.89 4.91 0.036 residual 1 IU 4.88 4.93 4.94 0.036 milk (%) 2 IU 4.83 4.89 4.94 0.032 4 IU 4.66 4.78 4.77 0.030 0.5 IU Fat machine milk (%) 1 IU 0.5 IU Fat residual milk (%) 355 a–c 356 1 1 IU Means with different superscripts within the same row are different (P < 0.05). Data are estimated marginal means and standard error of means. 16 120 MANUSCRITO 4 357 Table 4. Milk yield, milk composition, and SCC of goats before (Day 0) and after (Day 1–3) 358 injecting different doses of oxytocin at 4-h milking intervals.1 Days Treatment 0 1 2 3 Control 1.49a 0.95b 1.57a 1.55a 0.097 1.85 a 0.97 b 1.77 a 1.75 a 0.054 1.53 a 0.96 b 1.60 a 1.55 a 0.042 2 IU 1.72 a 0.97 b 1.73 a 1.65 a 0.077 4 IU 1.81a 0.98b 1.85a 1.73a 0.067 Control 4.17a 3.71b 3.24c,x 4.07ab 0.084 3.80 a 3.34 b 3.15 c,x 3.82 a 0.108 4.24 a 3.45 b 2.67 c,y 3.98 a 0.183 2 IU 4.37 a 3.73 b 2.70 c,y ab 0.173 4 IU 4.25a 3.32b 2.65c,y 3.95a 0.221 Control 2.86b 3.31a 3.31a,y 3.16ab,y 0.059 2.58 c ab 3.28 a,y bc,y 0.072 2.78 c 3.50 a,y b,y 0.127 2 IU 2.77 c ab,xy 0.148 4 IU 3.05c 3.53b 3.82a,x 3.77ab,x 0.137 Control 4.56 4.69 4.75 4.79 0.042 0.5 IU 4.66 4.77 4.76 4.69 0.026 1 IU 4.71 4.81 4.88 4.88 0.022 2 IU 4.61 4.79 4.88 4.81 0.040 4 IU 4.59 4.64 4.65 4.62 0.035 Control 6.25a,x 6.15a,x 5.88b,x 5.88b,y 0.035 0.5 IU Milk yield (L/d) 1 IU 0.5 IU Fat (%) 1 IU 0.5 IU Protein (%) Lactose (%) 1 IU 6.24 x 5.42 y 2 IU 6.16 x 4 IU 6.20x 0.5 IU SCC (log/ml) 359 a–c 360 x–y 361 0.05). 362 1 1 IU 3.23 3.24 b 3.25 b 6.31 x 5.68 y 6.51 x 6.28x 3.57 a,xy 6.14 x 5.39 y 6.00 x 5.91x SEM 3.93 2.87 3.18 3.37 x 0.050 z 0.054 xy 0.039 6.10xy 0.045 6.33 5.34 6.05 Means with different superscripts within the same row are different (P < 0.05). Means with different superscripts within the same column for each item are different (P < Data are estimated marginal means and standard error of means. 363 17 121 MANUSCRITO 5 MANUSCRITO 5 Study of mammary tight junction permeability in dairy goats traditionally milked once a day A. Torresa, N. Castrob, A. Suárez-Trujillob, A. Argüellob, and J. Capotea* a Instituto Canario de Investigaciones Agrarias (ICIA), La Laguna 38200, Tenerife, Spain b Department of Animal Science, Universidad de Las Palmas de Gran Canaria, Arucas 35413, Spain. * Corresponding author: Juan Capote, ICIA, Apto. de correos 60, La Laguna 38200, Tenerife, Spain. Tel.: +34 922542800; fax: +34 922542898. E-mail address: jcapote@icia.es ABSTRACT Effects of milking interval on mammary tight junction permeability are welldocumented in ruminants. However, the most studies have been focused in animals that usually are milked twice a day. For this reason, thirty-two dairy goats in mid lactation of two breeds traditionally milked once a day (Majorera, Palmera) and two parity numbers (primiparous, multiparous) were used to evaluate the short-term effects of different milking intervals (10, 14, 24, 28, and 32 h) on tight junction permeability of mammary epithelia. Milk samples were analyzed for determination of chemical composition, and Na and K concentrations. Blood samples were immediately taken after each milking and analyzed for determination of lactose, and Na and K concentrations. Milk volumes increased when milking interval was increased. On average, it increased from 2.23 to 2.73 L in Majorera, and from 1.38 L to 1.63 L in Palmera goats, at 24- and 32-h of milk accumulation, respectively, which demonstrated the adaptation of the studied breeds to accommodate greater milk volumes into the udder at extended milkings. Furthermore, it 125 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias did not produce apparent changes in the milk composition from 24- to 28-h, and from 24- to 32-h intervals. The concentrations of Na and K in milk and blood did not reflect the degree of permeability of tight junctions at extended milkings, at least in goats traditionally milked once a day. Finally, plasma lactose increased sharply at 24-h, being more pronounced in primiparous (from 65.59 to 111.81 μM, at 14- and 24-h, respectively) than multiparous goats (from 161.67 to 241.95 μM, at 14- and 24-h, respectively), indicative of an increase in the permeability of tight junctions. 1. Introduction Tight junctions form the continuous intercellular barrier between epithelial cells, which is required to separate tissue spaces and regulate selective movement of small molecules and ions across the epithelium (Anderson and Van Itallie, 2009). In the mammary gland, the tight junctions are dynamic structures between the blood, or more precisely the interstitial fluid (basolateral side), and milk in the alveolar lumen (apical side), thus preventing serum components from entering into milk and vice versa (Stelwagen et al., 1995). In addition, tight junctions are instrumental in maintaining the polarized state of secretory cells, and keeping a difference in lipid and protein composition between the basal and apical side of the plasma membrane (Stelwagen et al., 1998). In the mammary epithelium, tight junctions are formed during lactogenesis, prior to onset of copious milk secretion, and are leaky during mammary involution (Nguyen and Neville, 1998; Ben Chedly et al., 2010). During lactation the tight junctions are become impermeable in most lactating animals, including ruminants. However, systemic and local factors, such as changing hormone concentration, intramammary pressure and mastitis, have been shown to regulate tight junction permeability 126 MANUSCRITO 5 (Stelwagen et al., 1999b). Tight junctions switch to a leaky state after approximately 18 h of milk accumulation in cows (Stelwagen et al., 1997), after 20 h in sheep (Castillo et al., 2008), and after 21 h in goats (Stelwagen et al., 1994). Moreover, Stelwagen et al. (1994) have previously shown that a decrease in the rate of milk secretion is correlated with the leakiness of mammary tight junctions observed during extended milking. However, Ben Chedly et al. (2013) found that the decrease in milk yield that occurs during once daily milking in goats is due to regulation of synthetic activity rather than to apoptosis of mammary epithelial cells or the state of the mammary gland tight junctions. The Na and K balance between the alveolar lumen and the interstitial fluid is conditioned by tight junction integrity. Thus, Na and K can freely cross the apical membrane, and the changes in the concentrations of these ions lead to corresponding intracellular changes (Stelwagen et al., 1999a). Furthermore, lactose is a component synthesized only in the mammary gland and is not secreted basolaterally in significant quantities, so its presence in blood can only be explained by its movement from milk into blood via leaky tight junctions (Stelwagen et al., 1994; Castillo et al., 2008). Knowledge about how different milking intervals affect the permeability of tight junctions in dairy goats traditionally milked once a day is required. For this reason, the objective of this study was to evaluate some indicators of leakiness of tight junction at different milking intervals in two dairy goat breeds traditionally milked once a day. 2. Material and methods The experimental animal procedures were approved by the Ethical Committee of the Universidad de Las Palmas de Gran Canaria (Arucas, Spain). The present study was performed in the experimental farm of the Instituto Canario de Investigaciones Agrarias 127 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias (Tenerife, Spain) on 32 dairy goats belonging to two breeds: Majorera (n = 8, primiparous, 2.09 ± 0.53 L/d; n = 8; multiparous, 2.11 ± 0.57 L/d), and Palmera (n = 8, primiparous, 1.35 ± 0.39 L/d; n = 8; multiparous, 1.41 ± 0.20 L/d), in mid lactation at the beginning of the experiment. The animals were fed according to the guidelines of the Institute National de la Recherche Agronomique (INRA, Paris, France) and recommendations (Jarrige, 1990). The goats were divided in 2 flocks (n = 16) balanced for parity (primiparous and multiparous) and breed (Majorera and Palmera) with similar milk yields. The experiment considered 4 milking intervals (Flock 1: 10, 14, 24, and 28 h; Flock 2: 10, 14, 24, and 32 h), where milk and blood samples were taken for analysis. Goats were milked in a double 12-stall parallel milking parlor (Alfa-Laval, Madrid, Spain) equipped with recording jars (4 L ± 5%) and a low-line milk pipeline. Milking was performed at a vacuum pressure of 42 kPa, a pulsation rate of 90 pulses/min, and a pulsation ratio of 60/40 in accordance with Capote et al. (2006). The milking routine included wiping dirt off teat ends and stripping 2-3 squirts of milk from each teat, machine milking and stripping milking, done by the operator to remove the milk remaining in the udder before cluster removal, and teat dipping in an iodine solution (P3-cide plus, Henkel Hygiene, Barcelona, Spain). Milk volumes were recorded by using the recording jars in the milking parlor. Milk samples were analyzed for determination of chemical composition, and Na and K concentrations. Blood samples were immediately taken after each milking and analyzed for determination of lactose, and Na and K concentrations. Milk fat, protein and lactose percentages were determined by using a DMA2001 Milk Analyzer (Miris Inc., Uppsala, Sweden). Concentrations of Na and K in milk were determined using atomic absorption spectrometry (AAnalyst 200 spectrometer, Perkin-Elmer, Norwalk, USA) in the 128 MANUSCRITO 5 Laboratory of Chemical Analysis of the Instituto Canario de Investigaciones Agrarias, and the concentrations of these ions in blood were measured by means of ion selective electrodes (Olympus AU2700 analyzer, Beckman Coulter, Tokyo, Japan) in the Laboratory LGS Análisis. The enzymatic assay for determination of plasma lactose (Boehringer Mannheim / R-Biopharm) was based on two reactions, one measuring galactose and the other measuring lactose and galactose; the difference between the two provided a measurement of lactose concentration. This analysis was conducted in the Laboratory of Research Unit at University Hospital (Tenerife, Spain). The statistical analyses were performed by using SPSS 15.0 software (SPSS Inc., Chicago, USA). Repeated measures analysis of variance (ANOVA), with adjustments for non-sphericity (Greenhouse-Geisser correction), was applied to evaluate milking intervals effects on studied parameters; followed by LSD post-hoc tests. Differences among experimental groups (Majorera-primiparous, Majorera-multiparous, Palmera-primiparous, Palmera-multiparous) were evaluated using a multiple comparison test following the Tukey method. Statistical differences were considered significant at P < 0.05. Data are presented as least squares means. 3. Results Milk volume (Table 1) was affected due to milking interval in both experimental flocks (P < 0.05). However, Majorera and Palmera goats did not show differences from 10- to 14-h of milk accumulation, but a significant increase was observed from 14- to 24-h intervals in the studied groups. In the Flock 1, milk volume at 28-h was higher than milk volume at 24-h in the studied breeds, but these differences were not significant (P > 0.05). In contrast, the goats of Flock 2 showed a dramatic increase in milk volume in Majorera primiparous (17%), Majorera multiparous (27%), Palmera 129 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias primiparous (20%), and Palmera multiparous (10%) from 24- to 32-h of milk accumulation. Regarding breed effect, no significant differences were found between Majorera and Palmera goats at 10-h milking interval. Nevertheless, Majorera goats had higher milk volumes than Palmera goats at subsequent milking intervals (P < 0.05). Additionally, milk volumes were similar (P > 0.05) between primiparous and multiparous goat at different milking intervals. Milk fat percentages (Table 1) were comparable between consecutive milking intervals (P > 0.05), except for goats of the Flock 1, where milk at 14-h contained lower percentages of fat than milk at 24-h (P < 0.05). Nevertheless, there was a trend to obtain milk richer in fat content when the milking intervals differ by more than 14 hours (P < 0.05). In addition, fat percentage was not affected by breed and parity factors, both in goats of Flock 1 and 2 (P > 0.05). No significant differences were detected in milk protein percentages from 10- to 14-h milking intervals in the studied groups (Table 1). Subsequently, Majorera breed had an increase in protein content when interval switched from 14- to 24-h (P < 0.05), and stayed stable from 24- to 28- and 32-h (P > 0.05). Likewise, Palmera goats did not have differences in protein content from 24- to 28- and 32-h. Breed and parity had not effects on milk protein percentage at the studied milking intervals. No differences were found in milk lactose percentages in the studied goats (Table 1) when the milking interval and breed factors were considered (P > 0.05). Regarding parity effect, Palmera primiparous had higher values than Palmera multiparous at 28- and 32-h (P < 0.05). However, these differences were not significant between Majorera primiparous and multiparous. Milking interval did not modify Na content in milk for Majorera goats (Table 2). Only a slight increase in Na concentration was observed for Palmera primiparous and 130 MANUSCRITO 5 multiparous (Flock 2) from 10- with respect to 24- and 32-h. In general, primiparous goats had lower levels of Na than multiparous goats, whereas Palmera had higher values than Majorera of these ions in milk, when the parity and breed effects were considered, respectively. Moreover, no changes were found in concentration of K in milk for the goat groups due to milking interval, breed or parity factors (P > 0.05). Goat breed and parity did not affect (P > 0.05) Na and K concentration in plasma blood at all intervals (Table 2). Besides, as milking interval increased, concentration of Na in blood plasma decreased for Majorera and Palmera in both parities (P < 0.05). Otherwise, concentration of K in blood plasma was steady until 28-h (Flock 1) and increased markedly at 32-h (Flock 2) for all goat groups. Milking interval affected (P < 0.05) lactose concentration in plasma (Table 2). It was observed that after 14-h interval, Majorera and Palmera goats in both parities dramatically increased its levels of lactose in plasma blood. Likewise, parity factor had an effect on plasma lactose, where primiparous goats exhibited lower values than multiparous goats at the studied milking intervals. Finally, no differences were observed between Majorera and Palmera breeds at the different intervals (P > 0.05). 4. Discussion The increases in milk volume with increasing milking intervals, is a consequence of a wider cisternal capacity of the studied breeds, which allowed a continuous drop of milk from alveoli to the cistern, reducing the feedback inhibitor process, the alveolar milk stasis and alveolar pressure (McKusick et al., 2002; Torres et al., 2013a). Typically in goats, 24-h of milk stasis is necessary to activate regulatory mechanisms leading to disruption of tight junctions and reduced milk secretion, longer than the 18 h required to induce a similar phenomena in cows and sheep (Marnet and 131 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Komara, 2008). Goats have a higher proportion of milk in their cistern than ewes or cows, which most likely contributes to their ability to better maintain milk yield under extended milking (Silanikove et al., 2010). Disruption of mammary tight junctions is associated with a decrease in milk yield due to longer milking intervals (Stelwagen et al., 1994; Delamaire and GuinardFlament, 2006), which is related with cell death and a decrease in mammary activity (Ben Chedly et al., 2010). It is predicted that for milking intervals of less than 20-h in goats and 18-h in cows, the concentration of β-casein f(1–28), peptide that serves as a local regulator on milk secretion, would be higher in the cistern than in the alveoli (Silanikove et al., 2000). Therefore, the alveoli will not be exposed to the full impact of the negative feedback signal of this peptide. Extending milk stasis beyond these times exceeds the storage capacity of the cistern, resulting in the equilibration of β-casein f(1– 28) concentration between the cistern and the alveoli, and inducing disruption of the tight junction (Silanikove et al., 2010). The higher volume of milk found for Majorera goats compared with Palmera goats is due to cisternal size of each breed. Previously, Torres et al. (2013a) reported that Majorera have higher udder depth values (difference in distance between the udder floor and the cistern floor) than Palmera, which is correlated with the udder volume (Capote et al., 2006). Bruckmaier et al. (1997) explained that a large absolute cisternal volume implies that a large fraction of the milk is stored within the cisternal cavities. Castillo et al. (2008) showed a greater milk accumulation rate in Lacaune than in Manchega ewes, where Lacaune breed have a greater cisternal area than Manchega breed (Rovai et al., 2008). Milk volume in multiparous goats was higher than primiparous goats, but the statistical differences were no significant, which was unexpected. Goetsch et al. (2011) 132 MANUSCRITO 5 reported that milk production is lower for primiparous than for multiparous dairy goats. Salama et al. (2004) found that the differences in storage capacity of the cisterns between primiparous and multiparous goats were more evident after 24 h of milk accumulation, in which multiparous goats had larger cisternal area and were able to store more volume of milk in the cistern than primiparous goats. McKusick (2000) found that ewes with high milk volume-intramammary pressure ratio had a significant degree of compliance in their udders because they were able to accommodate an increase in intramammary pressure of 30% when the milking interval was extended to 24 h. Therefore, intramammary compliance or elasticity plays a significant role to accommodate the milk volumes secreted. The results obtained could be explained by the fact that primiparous goats had an optimal intramammary compliance due to adaptation of the breed to once daily milking. However, further studies are needed to verify this hypothesis. Milk fat percentages had a trend to be higher as milking interval increased. However, McKusick et al. (2002) and Castillo et al. (2008) in ewes, and Ayadi et al. (2004) in cows observed that milk fat content decreased with longer milking intervals. These authors indicate that there was transfer of milk fat from the alveoli to the cistern during early udder filling, but this transfer was no longer taking place during the later intervals. It has been reported an upward movement of the fat globules, in the opposite direction to the downward draining and newly secreted milk at extended milking in dairy cows (Ayadi et al., 2004). Conversely, this cistern recoil phenomenon did not occur in goats, where once milk is ejected, it is unable to return to the alveoli (Salama et al., 2004). In addition, Komara et al. (2009) in Alpine goats and Torres et al. (2013b) in Majorera and Palmera goats did not find differences in fat percentages between once and twice daily milking. Moreover, according to Stelwagen et al. (1997), the diameter 133 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias of milk fat globules is greater than the intercellular joints, and Komara et al. (2009) found that fat globule size between once and twice daily milking were similar for dairy goats. Therefore, changes in fat content according to milking interval are related to the regulatory mechanisms for secretion of large and high-viscosity milk fat globules relative to the components in the aqueous phase of milk (Davis et al., 1999). Milk protein percentages did not have changes at extended milking in the studied breeds, which agrees with observations in dairy cows by Ayadi et al. (2004) and dairy ewes by Castillo et al. (2008), where protein content in milk was constant after 12 h. However, McKusick et al. (2002) found an increase in milk protein fraction from 20 h in dairy ewes. The tendency of protein content to increase for extended milking intervals in some species or breeds may be explained by increased tight junction leakiness allowing serum protein entering into the milk, since casein does not move through leaky mammary tight junction (Ayadi et al., 2004; Castillo et al., 2008). However, typical milk albumin concentration (the greatest potential contributor of serum protein to milk) is too small to make an effect on protein concentration in milk, being produced and secreted by mammary epithelial cells into milk (Silanikove et al., 2013). Therefore, the changes in milk protein content according to milking interval, like milk fat content, seems are more correlated to regulation of synthetic activity of secretory cells or hydrolysis of protein rather to disruption of the mammary gland tight junctions (Ben Chedly et al., 2013). The absence of differences in milk lactose percentages found in the studied goats according to milking interval factor is related with the udder size. Thus, Castillo et al. (2008) reported a decrease in lactose content from the 20- to 24-h milking interval in Manchega ewes (small udder cisterns), but not in Lacaune ewes (large udder cisterns). Decreases of milk lactose percentage seem to be due to lactose passing from milk into 134 MANUSCRITO 5 blood through impaired tight junctions associated with extended milking intervals (Stelwagen et al., 1994). However, Ben Chedly et al. (2013) proposed that the reduction of milk lactose yield is essentially due to a reduction of its synthesis by the mammary gland. In general, Na and K contents in milk were not affected by the studied milking intervals. Only a slight increase was observed in Na content for Palmera goats from 10to 24- and 32 intervals. When the permeability of tight junctions increases, the concentration of Na in milk increases, and the concentration of K decreases (Stelwagen et al., 1999a). Furthermore, a reduction of Na content and an increase of K content in blood plasma would be expected during the disruption of tight junctions. In the present experiment was detected the diminution of Na values in blood plasma in the studied groups when the milking interval was increased, and the concentration of K only was increased both Majorera and Palmera goats at 32-h interval. Castillo et al. (2008) did not find differences in Na and K concentration in milk in Lacaune ewes at extended milking intervals, but Manchega ewes had an increase of Na and a decreased of K in milk after 20 h. These authors suggested that variations in ion concentration have a relationship with the adaptation to extended milking intervals of these breeds being lower in Manchega than Lacaune ewes. Furthermore, Stelwagen et al. (1994) found that Na concentration in milk increased from 16.3 mM at 0 h to 21.3 mM at 36 h, and the K concentration in milk decreased from 46.7 mM at 0 h to 34.3 mM at 36 h in Saanen goats, as consequence of tight junction disruption. In the present study, Majorera and Palmera breeds are fully adapted to once daily milking, which can explain that concentrations of Na and K were not the best indicators of leakiness of tight junctions. Despite the high variability of plasma lactose concentration obtained in the experimental groups, this increased sharply at 24-h, indicative of an increase in tight 135 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias junction permeability. Castillo et al. (2008) considered that lactose in plasma is the main indicator of mammary tight junction permeability, because changes in Na and K concentrations may reflect an alteration in the transport of these ions across transcellular rather than paracellular pathways. In Saanen goats, Stelwagen et al. (1994) showed an increase of plasma lactose concentration after 21 h of milk accumulation, whereas that in dairy cows, Stelwagen et al. (1997) observed the increase of lactose in plasma after 18 h of milk stasis. In addition, some studies which switched from twice to once daily milking in goats and cows (Stelwagen et al., 1997; Ben Chedly et al., 2013) demonstrated that the increase in blood lactose concentration is transient, suggesting that the gland gradually adapted to once daily milking. Finally, the increases of plasma lactose seem to have not been conditioned by breed effect. Nevertheless, primiparous goats had an increase more pronounced in plasma lactose values than multiparous goats at extended milking intervals, although these animals presented the highest concentrations, which may indicate that the older animals had a greater degradation in the integrity of tight junction due to different lactations. On the other hand, Castillo et al. (2008) found that Manchega ewes increased by 5-fold its plasma lactose values from 20- to 24-h, whereas Lacaune ewes increased by only 1.5-fold, indicating that the tight junction leakiness effect was greater in Manchega that in Lacaune ewes. Therefore, the udder development plays an important role on degree of tight junction leakiness. 5. Conclusions The wide cisternal capacity of the Majorera and Palmera breeds allowed an increase in milk yield above to 24 h of milk accumulation. Furthermore, milk composition was not impaired when milking intervals were increased until 28 or 32 h. In regard to indicators of leakiness of tight junction, the concentrations of Na and K in 136 MANUSCRITO 5 milk and blood did not reflect its degree of permeability, at least in goats traditionally milked once a day. Moreover, the increase in the concentration of plasma lactose after 14 h did not allow to precise whether the disruption of tight junctions occurred before or after to 24 h, or simply is normal flux of lactose from apical to basolateral side due to status of tight junctions in goats usually milked once time a day. Therefore, a milking interval between 14- and 24-h will be necessary to take into consideration to evaluate the integrity of tight junctions. Nevertheless, the results did not show a clear relationship between the milk yields and damages of tight junction permeability, which is interesting to develop breeding programs adapted to extended milkings, in areas that require it. Conflict of interest None. Acknowledgments This work was supported by Fondo Europeo de Desarrollo Regional-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (FEDER-INIA) RTA2009-00125. The authors are also grateful to Dr. Eduardo Salido and Dr. Ana Rosa Socorro for their assistance with the experimental procedures. References Anderson, J.M., Van Itallie, C.M., 2009. Physiology and function of the tight junction. Cold Spring Harb. Perspect. Biol. 1:a002584. 137 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Ayadi, M., Caja, G., Such, X., Rovai, M., Albanell, E., 2004. Effect of different milking intervals on the composition of cisternal and alveolar milk in dairy cows. J. Dairy Res. 71, 304–310. Ben Chedly, H., Boutinaud, M., Bernier-Dodier, P., Marnet. P.G., Lacasse, P., 2010. Disruption of cell junctions induces apoptosis and reduces synthetic activity in lactating goat mammary gland. J. Dairy Sci. 93, 2938–2951. Ben Chedly, H., Lacasse, P., Marnet, P.G., Boutinaud, M., 2013. The decrease in milk yield during once daily milking is due to regulation of synthetic activity rather than apoptosis of mammary epithelial cells in goats. Animal 7, 124–133. Bruckmaier, R.M., Paul, G., Mayer, H., Schams, D., 1997. Machine milking of Ostfriesian and Lacaune dairy sheep: Udder anatomy, milk ejection and milking characteristics. J. Dairy Res. 64, 163–172. Castillo, V., Such, X., Caja, G., Casals, R., Albanell, E., Salama, A.A.K., 2008. Effect of milking interval on milk secretion and mammary tight junction permeability in dairy ewes. J. Dairy Sci. 91, 2610–2619. Capote, J., Argüello, A., Castro, N., López, J.L., Caja, G., 2006. Correlations between udder morphology, milk yield and milking ability with different milking frequencies in dairy goats. J. Dairy Sci. 89, 2076–2079. Goetsch, A.L., Zeng, S.S., Gibson, T.A., 2011. Factors affecting goat milk production and quality. Small Rumin. Res. 101, 55–63. Davis, S.R., Farr, V.C., Stelwagen, K., 1999. Regulation of yield loss and milk composition during once-daily milking: A review. Livest. Prod. Sci. 59, 77–94. Delamaire, E., Guinard-Flament, J., 2006. Longer milking intervals alter mammary epithelial permeability and the udder’s ability to extract nutrients. J. Dairy Sci. 89, 2007–2016. 138 MANUSCRITO 5 Jarrige, J., 1990. Alimentación de bovinos, ovinos y caprinos (Nutrition in bovine, ovine and caprine), first ed. Mundi Prensa, Madrid, Spain. Komara, M., Boutinaud, M., Ben Chedly, H., Guinard-Flament, J., Marnet, P.G., 2009. Once-daily milking effects in high-yielding alpine dairy goats. J. Dairy Sci. 92, 5447–5455. Marnet, P.G., Komara, M., 2008. Management systems with extended milking intervals in ruminants: Regulation of production and quality of milk. J. Anim. Sci. 86, 47–56. McKusick, B.C., 2000. Physiologic factors that modify the efficiency of machine milking in dairy ewes. Proceedings of the 6th Great Lakes Dairy Sheep Symposium 86–100. McKusick, B.C., Thomas, D.L., Berger, Y.M., Marnet, P.G., 2002. Effect of milking interval on alveolar versus cisternal milk accumulation and milk production and composition in dairy ewes. J. Dairy Sci. 85, 2197–2206. Nguyen, D.A., Neville, M.C., 1998. Tight junction regulation in the mammary gland. J. Mammary Gland Biol. 3, 233–246. Salama, A.A.K., Caja, G., Such, X., Peris, S., Sorensen, A., Knight, C.H., 2004. Changes in cisternal udder compartment induced by milking interval in dairy goats milked once or twice daily. J. Dairy Sci. 87, 1181–1187. Silanikove, N., Shamay, A., Shinder, D., Moran, A., 2000. Stress down regulates milk yield in cows by plasmin induced β-casein product that blocks K+ channels on the apical membranes. Life Sci. 67, 2201–2212. Silanikove, N., Leitner, G., Merin, U., Prosser, C., 2010. Recent advances in exploiting goat's milk: Quality, safety and production aspects. Small Rumin. Res. 89, 110– 124. 139 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Silanikove, N., Shapiro, F., Merin, U., Leitner, G., 2013. Tissue-type plasminogen activator and plasminogen embedded in casein rule its degradation under physiological situations: manipulation with casein hydrolysate. J. Dairy Res. 80, 227–232. Stelwagen, K., Davis, S.R., Farr, V.C., Prosser, C.G., Sherlock, R.A., 1994. Mammary epithelial cell tight junction integrity and mammary blood flow during an extended milking interval in goats. J. Dairy Sci. 77, 426–432. Stelwagen, K., Farr, V.C., Davis, S.R., Prosser, C.G., 1995. EGTA-induced disruption of epithelial cell tight junctions in the lactating caprine mammary gland. Am. J. Physiol. 269, R848–R855. Stelwagen, K., Farr, V.C., McFadden, H.A., Prosser, C.G., Davis, S.R., 1997. Time course of milk accumulation-induced opening of mammary tight junctions and blood clearance of milk components. Am. J. Physiol. 273, R379–R386. Stelwagen, K., van Espen, D.C., Verkerk, G.A., McFadden, H.A., Farr, V.C., 1998. Elevated plasma cortisol reduces permeability of mammary tight junctions in the lactating bovine mammary epithelium. J. Endocrinol. 159, 173–178. Stelwagen, K., Farr, V.C., McFadden, H.A., 1999a. Alteration of the sodium to potassium ratio in milk and the effect on milk secretion in goats. J. Dairy Sci. 82, 52–59. Stelwagen, K., McFadden, H.A., Demmer, J., 1999b. Prolactin, alone or in combination with glucocorticoids, enhances tight junction formation and expression of the tight junction protein occludin in mammary cells. Mol. Cell. Endocrinol. 156, 55–61. Rovai, M., Caja, G., Such, X., 2008. Evaluation of udder cisterns and effects on milk yield of dairy ewes. J. Dairy Sci. 91, 4622–4629. 140 MANUSCRITO 5 Torres, A., Castro, N., Hernández-Castellano, L.E., Argüello, A., Capote, J., 2013a. Effects of milking frequency on udder morphology, milk partitioning, and milk quality in 3 dairy goat breeds. J. Dairy Sci. 96, 1071–1074. Torres, A., Castro, N., Argüello, A., Capote, J., 2013b. Comparison between two milk distribution structures in dairy goats milked at different milking frequencies. Small Rumin. Res. DOI: 10.1016/j.smallrumres.2013.04.013. 141 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Table 1. Effects of milking interval on milk volume and milk composition in two dairy goat breeds 1 Flock 1 Flock 2 Milking interval (h) Milking interval (h) SEM 10 14 24 28 Majorera primiparous 1.02a 1.40a,y 1.81b,y 2.05b,y Majorera multiparous 1.04 a 1.31 a,y 2.03 b,y 2.18 b,y 0.61 a 0.71 a,x 1.11 b,x 1.35 b,x 0.72 a SEM 10 14 24 32 0.157 0.98a 1.31a,xy 2.23b,y 2.61c,y 0.208 0.176 1.21 a 1.50 a,y 2.24 b,y 2.84 c,y 0.198 0.64 a 0.80 a,x 1.20 b,x 1.44 c,x 0.128 0.116 0.72 a 1.55 b,x 1.71 c,x 0.108 0.189 2.27a 2.25a 2.83ab 3.05b 0.113 a a ab b 0.118 Milk volume (L) Palmera primiparous Palmera multiparous 1.03 a,xy 1.45 b,xy 1.76 c,xy 0.155 1.00 a,xy Milk composition Fat (%) Majorera primiparous 2.17a 2.55a 3.15b 3.66b Majorera multiparous 2.95 a a b b 0.187 2.99 Palmera primiparous 2.41a 2.45a 3.72b 3.56b 0.225 2.69a 2.88ab 3.64b 3.37b 0.134 Palmera multiparous 2.43ª 3.03a 3.92b 4.22b 0.207 2.39a 2.95ab 3.51bc 3.83c 0.173 Majorera primiparous 2.39a 2.73a 3.19b 3.39b 0.156 2.19a 2.38a 3.03b 3.02b 0.118 Majorera multiparous 2.89a 2.89a 3.84b 4.30b 0.205 2.49a 2.75a 3.08b 3.40b 0.142 Palmera primiparous 2.37a 3.01ab 3.73b 3.54b 0.176 2.32a 2.82ab 3.19bc 3.73c 0.173 Palmera multiparous a 3.07 a 3.98 b b 0.180 2.41 a ab bc c 0.165 5.06 4.95 4.73 4.69xy 0.124 5.51 5.05 5.08xy 0.085 4.55 4.38 x 4.83 4.75 x 0.109 y 0.070 5.35 5.17 5.06 5.22 y 0.087 0.136 4.94 5.04 4.77 4.80x 0.098 3.24 4.11 4.38 2.89 3.19 3.61 Protein (%) 2.97 4.01 3.04 3.36 3.87 Lactose (%) Majorera primiparous Majorera multiparous 4.67 4.43 Palmera primiparous 5.33 5.08 4.76 5.03 Palmera multiparous 4.53 4.81 4.39 4.20x a–c 4.98 5.09 Means with different superscripts within the same row are different (P < 0.05). x–y 1 0.082 5.45 Means with different superscripts within the same column for each item are different (P < 0.05). Data are least square means and standard error of means. 142 MANUSCRITO 5 Table 2. Effects of milking interval on concentration of Na and K in milk and plasma blood and concentration of plasma lactose in two dairy goat breeds 1 Flock 1 Flock 2 Milking interval (h) Milking interval (h) SEM SEM 10 14 24 28 10 14 24 32 Majorera primiparous 12.38x 13.47x 14.80x 14.99x 0.437 12.65x 14.13x 13.99x 13.33x Majorera multiparous 18.62 y y xy 19.87 y 0.605 0.519 y y y y 12.53 x 15.99 x 15.41 x 0.996 b,xy 19.76 y 22.36 y 22.17 y 24.36 z 0.880 b,y 0.763 0.620 Majorera primiparous 34.75 37.44 37.02 37.15 0.904 35.70 39.82 38.07 38.53 0.960 Majorera multiparous 36.01 38.80 42.80 39.96 1.149 38.13 41.99 40.98 40.24 0.728 Palmera primiparous 34.16 36.99 34.51 35.57 0.805 33.35 36.33 35.13 33.20 0.536 Palmera multiparous 33.36 35.76 37.44 34.02 1.131 34.65 36.32 37.93 36.44 0.839 Majorera primiparous 146.08b 145.55b 144.68a 144.23a 0.278 145.95b 145.30b 144.05a 143.90a 0.287 Majorera multiparous 148.53c 146.95bc 146.80ab 144.90a 0.517 146.88b 146.05ab 144.15a 144.45a 0.417 Palmera primiparous 146.45 b 144.85 ab 142.70 a 142.75 a 0.552 b 145.93 ab 143.85 a a 0.455 147.05 b 145.20 ab 144.18 a 143.33 a 145.50 bc 143.80 a ab 0.365 Milk Na (mM) Palmera primiparous Palmera multiparous 17.43 14.36 xy 18.17 0.538 20.03 13.78 a,x 17.70 a,y 18.74 15.56 ab,xy 18.29 ab,y 21.99 16.51 20.87 b,x b,xy 20.76 17.02 21.28 K (mM) Plasma blood Na (mM) Palmera multiparous 147.28 c 143.80 0.464 147.00 144.40 0.120 5.10a 4.78a 4.73a 5.88b 0.148 ab a a b 0.165 K (mM) Majorera primiparous 5.18 5.08 5.00 5.73 Majorera multiparous 5.23 5.03 4.90 5.45 0.102 5.28 4.93 4.60 5.90 Palmera primiparous 5.33 5.05 4.95 5.53 0.134 5.03ab 4.90a 4.55a 5.45b 0.117 Palmera multiparous 4.93 5.10 4.88 5.63 0.136 4.68a 4.58a 4.43a 5.58b 0.134 54.96a,x 66.51a,x 127.85b,x 181.05c,y 14.435 65.48a,x 84.39b,xy 140.98c,x 230.23d,y 17.707 b,y c,z a,z b,y c,z 21.158 c,x 12.528 314.44c,z 22.815 Plasma lactose (μ M) Majorera primiparous Majorera multiparous 135.45 a,y a,x Palmera primiparous 44.26 Palmera multiparous 136.75a,y 177.23 56.26 a,y a,x 160.35a,y 235.51 88.73 b,x 264.00b,y 328.22 20.651 120.64 a,y c,x 10.100 43.28 342.21c,z 22.518 106.96a,y 110.38 a,x 180.95 55.18 a,x 128.15a,y 222.92 89.71 b,x 245.37b,y 308.96 152.78 a–d Means with different superscripts within the same row are different (P < 0.05). x–z Means with different superscripts within the same column for each item are different (P < 0.05). 1 Data are least square means and standard error of means. 143 CONCLUSIONES CONCLUSIONES Artículo 1 El hecho de que alrededor del 80% de la leche total que se encuentra en la ubre, se almacene en los compartimentos cisternales, tanto a las 14- como a las 24-h, sugiere que la mayor parte de la transferencia de leche desde los alvéolos a la cisterna ocurre durante las primeras fases de llenado de la glándula. Por esa razón no se encontraron diferencias, en relación a la composición química de la leche cisternal, entre ambos intervalos de ordeño. Sin embargo, los diversos cambios que presentaron los contenidos de grasa, lactosa y sólidos totales en la leche alveolar, sugieren la necesidad de posteriores estudios sobre los mecanismos responsables de la eyección de la leche entre ordeños. Artículo 2 Los resultados demostraron que la práctica del doble ordeño no mejora la producción de leche respecto a un ordeño diario en las cabras de raza Majorera y Tinerfeña, lo cual es de interés para los sistemas de producción caprina, en donde se busca reducir los costes relacionados con la producción de leche. No obstante, el aumento significativo en la producción lechera que mostraron las cabras de raza Palmera al ordeñar dos veces al día, sugiere que podría ser una práctica rentable en ciertos momentos de la lactación. Sin embargo, el contenido de proteína en leche no incrementó en concordancia con la producción. Por esta razón, se necesitan otros estudios para evaluar los efectos de la frecuencia sobre el rendimiento quesero, lo cual es un aspecto de suma importancia en la economía ganadera de Canarias. Además, el conocimiento de las estructuras de fraccionamiento de leche puede servir de base para futuros programas de selección, al objeto de mejorar la facilidad de ordeño en las razas locales. Manuscrito 3 Los cambios a corto plazo de la frecuencia normal de ordeño en cabras tradicionalmente ordeñadas una vez al día durante la lactancia temprana puede afectar la producción de leche en cabras de raza Majorera, como lo demuestra el incremento significativo cuando se cambia de uno a dos ordeños diarios. Sin embargo, las variaciones en el contenido de grasa y perfil proteico requieren estudios acerca de cómo éstas afectan la producción y calidad de los quesos, ya que la finalidad principal de las explotaciones caprinas canarias es la fabricación de ese producto. Por otro lado, la falta de incremento en la producción durante el triple ordeño, con la disminución en los porcentajes de grasa en la leche, hace necesario futuros estudios para evaluar las causas que provocan este descenso. 147 Efecto de la frecuencia de ordeño sobre la producción, fraccionamiento lechero y parámetros de calidad de la leche en las cabras canarias Manuscrito 4 La liberación de oxitocina por estimulación previa al ordeño y la administración de oxitocina sintética no tuvo efecto galactopoyético ni cambios aparentes en la composición química de la leche en cabras no ordeñadas inmediatamente que tradicionalmente se ordeñaban una vez al día. Además, la ausencia de diferencias en el fraccionamiento lechero y composición de la leche entre la administración de cuatro dosis de oxitocina indica que la contracción de las células mioepiteliales que rodean los alvéolos es similar en respuesta a bajas y altas dosis de esta hormona. Manuscrito 5 La amplia capacidad cisternal de las cabras de raza Majorera y Palmera permitió un aumento de la producción de leche después de 24 h de acumulación. Además, la composición química de la leche no se vio afectada cuando los intervalos de ordeño se incrementaron hasta 28 o 32 h. En lo que se refiere a los indicadores de permeabilidad de las uniones celulares del epitelio mamario, las concentraciones de Na y K en leche y sangre no reflejaron un mayor grado de permeabilidad, al menos en cabras tradicionalmente ordeñadas una vez al día. Por otra parte, el aumento en la concentración de lactosa en el plasma sanguíneo, después de 14 h de acumulación de leche, no permitió precisar si la rotura de las uniones celulares se produjo antes o después de 24 h, o se debía al flujo normal de lactosa desde el lado apical al basolateral por el estado de dichas uniones en cabras acostumbradas a largo intervalos de ordeño. Adicionalmente, los resultados no mostraron una relación entre los rendimientos de leche y daños en la permeabilidad de las uniones celulares, lo cual es interesante para el desarrollo de programas de selección, en las zonas que requieran intervalos de ordeño más largos. 148