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dc.contributor.authorSánchez, Juan P.
dc.contributor.authorRagab, Mohamed
dc.contributor.authorQuintanilla, Raquel
dc.contributor.authorRothschild, Max F.
dc.contributor.authorPiles, Miriam
dc.contributor.otherProducció Animalca
dc.date.accessioned2022-05-24T07:47:28Z
dc.date.available2022-05-24T07:47:28Z
dc.date.issued2017-12-01
dc.identifier.citationSánchez, Juan P., Mohamed Ragab, Raquel Quintanilla, Max F. Rothschild, and Miriam Piles. 2017. "Genetic Parameters And Expected Responses To Selection For Components Of Feed Efficiency In A Duroc Pig Line". Genetics Selection Evolution 49 (1). doi:10.1186/s12711-017-0362-x.ca
dc.identifier.issn0999-193Xca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/1777
dc.description.abstractBackground: Improving feed efciency (FE) is a key factor for any pig breeding company. Although this can be achieved by selection on an index of multi-trait best linear unbiased prediction of breeding values with optimal economic weights, considering deviations of feed intake from actual needs (RFI) should be of value for further research on biological aspects of FE. Here, we present a random regression model that extends the classical defnition of RFI by including animal-specifc needs in the model. Using this model, we explore the genetic determinism of several FE components: use of feed for growth (WG), use of feed for backfat deposition (FG), use of feed for maintenance (MW), and unspecifc efciency in the use of feed (RFI). Expected response to alternative selection indexes involving diferent components is also studied. Results: Based on goodness-of-ft to the available feed intake (FI) data, the model that assumes individual (genetic and permanent) variation in the use of feed for maintenance, WG and FG showed the best performance. Joint individual variation in feed allocation to maintenance, growth and backfat deposition comprised 37% of the individual variation of FI. The estimated heritabilities of RFI using the model that accounts for animal-specifc needs and the traditional RFI model were 0.12 and 0.18, respectively. The estimated heritabilities for the regression coefcients were 0.44, 0.39 and 0.55 for MW, WG and FG, respectively. Estimates of genetic correlations of RFI were positive with amount of feed used for WG and FG but negative for MW. Expected response in overall efciency, reducing FI without altering performance, was 2.5% higher when the model assumed animal-specifc needs than when the traditional defnition of RFI was considered. Conclusions: Expected response in overall efciency, by reducing FI without altering performance, is slightly better with a model that assumes animal-specifc needs instead of batch-specifc needs to correct FI. The relatively small diference between the traditional RFI model and our model is due to random intercepts (unspecifc use of feed) accounting for the majority of variability in FI. Overall, a model that accounts for animal-specifc needs for MW, WG and FG is statistically superior and allows for the possibility to act diferentially on FE components.ca
dc.format.extent13ca
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.titleGenetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig lineca
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.projectIDINIA/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.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.projectIDINIA/Programa Nacional de Proyectos de Investigación Fundamental/RTA2011-00064-00-00/ES/Mejora genética de la eficacia alimentaria en especies prolíficas/ca
dc.relation.projectIDMICYT/ /AGL2002-04271-C03-02/ES/ARQUITECTURA GENETICA DE LOS COMPONENTES LlPlDlCOS DE LA CARNE PORCINA RELACIONADOS CON LA CALIDAD Y CON LA SALUD HUMANA/ca
dc.relation.projectIDEC/FP7/246760/EC/EXCELMEAT: an international research network for the genetic improvement of pigmeat quality and the development of biosensing technologies as rapid and cost-effective tools for meat quality evaluation/EXCELMEATca
dc.subject.udc636ca
dc.identifier.doihttps://doi.org/10.1186/s12711-017-0362-xca
dc.contributor.groupGenètica i Millora Animalca


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