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Milk yield prediction at late lactation in reproductive rabbit does

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Milk yield prediction at late lactation in reproductive rabbit does

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dc.contributor.author Arnau Bonachera, Alberto es_ES
dc.contributor.author Cervera Fras, Mª Concepción es_ES
dc.contributor.author Blas Ferrer, Enrique es_ES
dc.contributor.author Pascual Amorós, Juan José es_ES
dc.date.accessioned 2015-07-03T09:48:37Z
dc.date.available 2015-07-03T09:48:37Z
dc.date.issued 2015-06-30
dc.identifier.issn 1257-5011
dc.identifier.uri http://hdl.handle.net/10251/52666
dc.description.abstract [EN] Separating kits and mother to determine milk yield at 4th wk of lactation (MY4) could have negative consequences on the training and development of young rabbits. In this work, a total of 313 lactation curves (28 d long), taken from 2 different trials, were used to fit regression models to estimate MY4. In both trials, females were subjected to a semi-intensive reproductive rhythm [insemination at 11 d post-partum (dpp) and weaning at 28 dpp], but diets, genetic types, parity order and day of controls were slightly different. The models included variables which, according to the bibliography, are related to milk yield and are often recorded in joint management (without separation of litters  rom mothers), such as litter size at weaning (LSW; both linear and quadratic), joint energy intake of doe plus litter at 4th wk of lactation (JEI; both linear and quadratic), perirenal fat thickness change (ΔPFTd) and milk yield at 3rd wk (MY3). The overlapping degree (OL) between current lactation and next pregnancy was included as a dummy variable, as well as their interactions with quantitative traits. To fit these models, 3  procedures were proposed to obtain accurate equations with biological meaning: Eq1, multiple linear regression (MLR) of data; Eq2, MLR with previous smoothing of sample distribution; and Eq3, MLR with previous smoothing and avoiding redundant samples and collinearities among variables. MY3 had a positive and relevant linear effect on MY4 for the 3 equations obtained (responsible for 39 to 50% of MY4 prediction). JEI had also a relevant role in MY4 prediction (28 to 61%), its positive effect being linear on Eq1, quadratic on Eq2 and both linear and quadratic on Eq3. ΔPFTd and LSW related traits were only included in Eq3, with a low relative weight, and OL inclusion did not improve prediction in any equation. Predicting MY4 was possible with the variables used, although certain precautions must be taken. Traditional MLR seems to predict central values properly, but extreme values poorly, whereas pre-treatment of data to smooth the dependent variable distribution appears to improve prediction of extreme values. es_ES
dc.description.sponsorship The authors gratefully acknowledge Dr. Beatriz Martinez-Vallespin from the Institut fur Tierernahrung at the Freie Universitat Berlin (Germany) and Dr. Davi Savietto from the Institute National de la Recherche Agronomique (Toulouse, France) for authorising the use of their PhD database in this work. This study was supported by the Interministerial Commission for Science and Technology (CICYT) of the Spanish Government (AGL2011-30170-C02-01) and the General Directorate of Universities of the Valencia Government (ACOMP/2013/017). Grants for Alberto Arnau from the Ministry of Economy and Finance (BES-2012-052345) are also gratefully acknowledged. en_EN
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València
dc.relation.ispartof World Rabbit Science
dc.rights Reserva de todos los derechos es_ES
dc.subject Rabbit es_ES
dc.subject Milk yield es_ES
dc.subject Prediction es_ES
dc.subject Energy intake es_ES
dc.subject Litter size es_ES
dc.title Milk yield prediction at late lactation in reproductive rabbit does es_ES
dc.type Artículo es_ES
dc.date.updated 2015-07-01T10:10:15Z
dc.identifier.doi 10.4995/wrs.2015.3438
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//AGL2011-30170-C02-02/ES/ESTUDIO DEL SISTEMA INMUNE DE DIFERENTES LINEAS GENETICAS CUNICOLAS Y SU RESPUESTA FRENTE A DESAFIOS PRODUCTIVOS E INFECCIOSOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//ACOMP%2F2013%2F017/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//BES-2012-052345/ES/BES-2012-052345/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Área de Posgrado - Àrea de Postgrau es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Ciencia y Tecnología Animal - Institut de Ciència i Tecnologia Animal es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural es_ES
dc.description.bibliographicCitation Arnau Bonachera, A.; Cervera Fras, MC.; Blas Ferrer, E.; Pascual Amorós, JJ. (2015). Milk yield prediction at late lactation in reproductive rabbit does. World Rabbit Science. 23(2):91-102. https://doi.org/10.4995/wrs.2015.3438 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/wrs.2015.3438 es_ES
dc.description.upvformatpinicio 91 es_ES
dc.description.upvformatpfin 102 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 23
dc.description.issue 2
dc.identifier.eissn 1989-8886
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Ministerio de Economía y Competitividad
dc.description.references Casado, C., Piquer, O., Cervera, C., & Pascual, J. J. (2006). Modelling the lactation curve of rabbit does: Towards a model including fit suitability and biological interpretation. Livestock Science, 99(1), 39-49. doi:10.1016/j.livprodsci.2005.05.019 es_ES
dc.description.references Clarke, B., Fokoué, E., & Zhang, H. H. (2009). Variable Selection. Springer Series in Statistics, 569-678. doi:10.1007/978-0-387-98135-2_10 es_ES
dc.description.references Cuadras C.M. 2011. Inferencia Multivariante. In: Nuevos Métodos de Análisis Multivariante. CMC Editions, Barcelona, Spain, 67–75. es_ES
dc.description.references Estany, J., Baselga, M., Blasco, A., & Camacho, J. (1989). Mixed model methodology for the estimation of genetic response to selection in litter size of rabbits. Livestock Production Science, 21(1), 67-75. doi:10.1016/0301-6226(89)90021-3 es_ES
dc.description.references Faraldo L., Ródenas L., Martínez-Paredes E. 2013. Variaciones del comportamiento alimentario de conejas y gazapos lactantes según su alojamiento. In: Proc. XXXVIII Symposium de Cunicultura. Zamora, Spain, 127–130. es_ES
dc.description.references Fortun-Lamothe, L., & Gidenne, T. (2000). The effects of size of suckled litter on intake behaviour, performance and health status of young and reproducing rabbits. Annales de Zootechnie, 49(6), 517-529. doi:10.1051/animres:2000142 es_ES
dc.description.references Friggens N.C., Van der Waaij E.H. 2009. Modelling of Resources Allocation Patterns. In: Rauw, W.M. (Ed.), Resources Allocation Theory Applied to Farm Animal Production. CABI Publishing, Wallingford, UK, 302–320. es_ES
dc.description.references García-Quirós, A., Arnau-Bonachera, A., Penadés, M., Cervera, C., Martínez-Paredes, E., Ródenas, L., … Pascual, J. J. (2014). A robust rabbit line increases leucocyte counts at weaning and reduces mortality by digestive disorder during fattening. Veterinary Immunology and Immunopathology, 161(3-4), 123-131. doi:10.1016/j.vetimm.2014.07.005 es_ES
dc.description.references Gidenne, T., & Lebas, F. (s. f.). Feeding behaviour in rabbits. Feeding in domestic vertebrates: from structure to behaviour, 179-194. doi:10.1079/9781845930639.0179 es_ES
dc.description.references LEBAS, F., & SARDI, G. (1969). ALIMENTATION LACTÉE ET CROISSANCE PONDÉRALE DU LAPIN AVANT SEVRAGE. Annales de Zootechnie, 18(2), 197-208. doi:10.1051/animres:19690207 es_ES
dc.description.references Lebas F. 1976. Relations entre la forme de la curbe de lactation maternelle et la croissance des lapereaux. Etude sur 975 courbes individuelles. In: Proc. 1st World Rabbit Congress, Dijon, France, Communication 9. es_ES
dc.description.references LEBAS, F. (1987). Influence de la taille de la portée et de la production laitière sur la quantité d’aliment ingérée par la lapine allaitante. Reproduction Nutrition Développement, 27(1B), 207-208. doi:10.1051/rnd:19870214 es_ES
dc.description.references LEBAS, F., COUSIN, M.-C., & SARDI, G. (1972). EFFET DE LA SIMULTANÉITÉ DE LA LACTATION ET DE LA GESTATION SUR LES PERFORMANCES LAITIERES CHEZ LA LAPINE. Annales de Zootechnie, 21(1), 129-131. doi:10.1051/animres:19720111 es_ES
dc.description.references Maertens L., Lebas F., Szendro Z. 2006. Rabbit milk: A review of quantity, quality and non-dietary affecting factors. World Rabbit Sci., 14: 205–230. es_ES
dc.description.references Nizza A., Stanco G., Di Meo C., Marongiu M.L., Taranto S., Cutrignelli M.I., Juliano L. 2009. Effect of pre-weaning solid feed and milk intake on caecal content characteristics and performance of rabbits around weaning. Ital. J. Anim. Sci., 2: 95–101. es_ES
dc.description.references Partridge, G. G., & Allan, S. J. (1982). The effects of different intakes of crude protein on nitrogen utilization in the pregnant and lactating rabbit. Animal Science, 35(1), 145-155. doi:10.1017/s000335610000091x es_ES
dc.description.references Pascual J.J. 2010. The role of body condition on new feeding and breeding programmes for reproductive rabbit does. Proc. 22nd Hungarian Conf. Rabbit Prod., 1–21. es_ES
dc.description.references Pascual J.J., Cervera C., Blas E., Fernández-Carmona J. 1999. Effect of high fat diets on the performance, milk yield and milk composition of multiparous rabbit does. Anim. Sci., 68: 151–162. es_ES
dc.description.references Pascual J.J., Motta W., Cervera C., Quevedo F., Blas E., Fernández-Carmona J. 2002. Effect of dietary energy source on the performance and perirenal fat thickness evolution of primiparous rabbit does. Anim. Sci., 75: 267–279. es_ES
dc.description.references Pascual J.J., Cervera C., Blas E., Fernández-Carmona J. 2003. High-energy diets for reproductive rabbit does: effect of energy source. Nutr. Abstr. Rev., 73: 27R–39R. es_ES
dc.description.references Pascual J.J., Blanco J., Piquer O., Quevedo F., Cervera C. 2004. Ultrasound measurements of perirenal fat thickness to estimate the body condition of reproducing rabbit does in different physiological states. World Rabbit Sci., 12: 7–21. es_ES
dc.description.references Pascual, J. J., Savietto, D., Cervera, C., & Baselga, M. (2013). Resources allocation in reproductive rabbit does: a review of feeding and genetic strategies for suitable performance. World Rabbit Science, 21(3). doi:10.4995/wrs.2013.1236 es_ES
dc.description.references Quevedo, F., Cervera, C., Blas, E., Baselga, M., & Pascual, J. J. (2006). Long-term effect of selection for litter size and feeding programme on the performance of reproductive rabbit does 2. Lactation and growing period. Animal Science, 82(5), 751-762. doi:10.1079/asc200688 es_ES
dc.description.references Romero R., Zúnica L.R. 2005. Modelos de regresión. In: Métodos Estadísticos En Ingeniería. Editorial Universitat Politècnica de València, Valencia, Spain, 297–334. es_ES
dc.description.references Sánchez, J. P., Theilgaard, P., Mínguez, C., & Baselga, M. (2008). Constitution and evaluation of a long-lived productive rabbit line1. Journal of Animal Science, 86(3), 515-525. doi:10.2527/jas.2007-0217 es_ES
dc.description.references SAS. 2009. User’s Guide (release 9.2). Statistical Analysis System Institute Inc., Cary, NC. es_ES
dc.description.references Savietto, D., Cervera, C., Blas, E., Baselga, M., Larsen, T., Friggens, N. C., & Pascual, J. J. (2013). Environmental sensitivity differs between rabbit lines selected for reproductive intensity and longevity. animal, 7(12), 1969-1977. doi:10.1017/s175173111300178x es_ES
dc.description.references Savietto, D., Cervera, C., Ródenas, L., Martínez-Paredes, E., Baselga, M., García-Diego, F. J., … Pascual, J. J. (2014). Different resource allocation strategies result from selection for litter size at weaning in rabbit does. Animal, 8(4), 618-628. doi:10.1017/s1751731113002437 es_ES
dc.description.references Wilcox R. 1997. Introduction to the Robust Estimation and Hypothesis Testing. Academic Press: San Diego, 14. es_ES
dc.description.references Xiccato G. 1996. Nutrition of lactating does. In: Lebas, F. (Ed.), Proc. 6th World Rabbit Congress, July, 1996. Touluse, France, 29–50. es_ES
dc.description.references Zhang, P. (1993). Model Selection Via Multifold Cross Validation. The Annals of Statistics, 21(1), 299-313. doi:10.1214/aos/1176349027 es_ES


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