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dc.contributor.authorHerrera-Cáceres, William
dc.contributor.authorSánchez, Juan Pablo
dc.contributor.otherProducció Animalca
dc.date.accessioned2020-11-30T14:23:13Z
dc.date.available2020-11-30T14:23:13Z
dc.date.issued2020-09-29
dc.identifier.citationHerrera-Cáceres, William, and Juan Pablo Sánchez. 2020. "Selection For Feed Efficiency Using The Social Effects Animal Model In Growing Duroc Pigs: Evaluation By Simulation". Genetics Selection Evolution 52 (1). doi:10.1186/s12711-020-00572-4.ca
dc.identifier.issn0999-193Xca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/990
dc.description.abstractBackground Traits recorded on animals that are raised in groups can be analysed with the social effects animal model (SAM). For multiple traits, this model specifies the genetic correlation structure more completely than the animal model (AM). Our hypothesis was that by using the SAM for genetic evaluation of average daily gain (ADG) and backfat thickness (BF), a high rate of improvement in feed conversion ratio (FCR) might be achieved, since unfavourable genetic correlations between ADG and BF reported in a Duroc pig line could be partially avoided. We estimated genetic and non-genetic correlations between BF, ADG and FCR on 1144 pigs using Bayesian methods considering the SAM; and responses to selection indexes that combine estimates of indirect (IGE) and direct (DGE) genetic effects for ADG and BF by stochastic simulation. Results Estimates of the ratio of the variance of DGE to the phenotypic variance were 0.31, 0.39 and 0.25 and those of the total genetic variance to the phenotypic variance were 0.63, 0.74 and 0.93 for ADG, BF and FCR, respectively. In spite of this, when the SAM was used to generate data and for the genetic evaluations, the average economic response was worse than that obtained when BV predictions from the AM were considered. The achieved economic response was due to a direct reduction in BF and not to an improvement in FCR. Conclusions Our results show that although social genetic effects play an important role in the traits studied, their proper consideration in pig breeding programs to improve FCR indirectly is still difficult. The correlations between IGE and DGE that could help to overcome the unfavourable genetic correlations between DGE did not reach sufficiently high magnitudes; also, the genetic parameters estimates from the SAM have large errors. These two factors penalize the average response under the SAM compared to the AM.ca
dc.format.extent10ca
dc.language.isoengca
dc.publisherBMCca
dc.relation.ispartofGenetics Selection Evolutionca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleSelection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulationca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDEC/H2020/633531/EU/Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems/Feed-a-Geneca
dc.relation.projectIDMINECO/Programa Estatal de I+D+I orientada a los Retos de la Sociedad/RTA2014-00015-C02-01/ES/Mejora de la eficiencia alimentaria en cerdos y conejos. Determinismo genético y estrategias de selección/ca
dc.relation.projectIDMICIU/Programa Estatal de I+D+I orientada a los retos de la sociedad/RTI2018-097610-R-I00/ES/MEJORA DE LA EFECTIVIDAD Y LA VIABILIDAD DE LOS PROGRAMAS DE SELECCION GENETICA PARA AUMENTAR LA EFICIENCIA ALIMENTARIA DE ESPECIES PROLIFICA/ca
dc.subject.udc636ca
dc.identifier.doihttps://doi.org/10.1186/s12711-020-00572-4ca
dc.contributor.groupGenètica i Millora Animalca


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