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Bayesian analysis of pig growth curves combining pedigree and genomic information

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Bayesian analysis of pig growth curves combining pedigree and genomic information

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dc.contributor.author Lazaro, Sirlene Fernandes es_ES
dc.contributor.author Ibáñez-Escriche, Noelia es_ES
dc.contributor.author Varona, Luis es_ES
dc.contributor.author Fonseca e Silva, Fabyano es_ES
dc.contributor.author Brito, Lais Costa es_ES
dc.contributor.author Facioni Guimaraes, Simone Eliza es_ES
dc.contributor.author Lopes, Paulo Savio es_ES
dc.date.accessioned 2020-01-25T21:02:14Z
dc.date.available 2020-01-25T21:02:14Z
dc.date.issued 2017 es_ES
dc.identifier.issn 1871-1413 es_ES
dc.identifier.uri http://hdl.handle.net/10251/135590
dc.description.abstract [EN] We proposed a genome association study for pig growth curves based on Bayesian hierarchical framework considering different sets of SNP markers and pedigree. Additionally, we aimed also to identify possible chromosome regions affecting the growth curve parameters using empirical weight-age data from an outbred F2 (Brazilian Piau vs commercial) pig population. Under the proposed hierarchical approach, individual growth trajectories were modeled by the nonlinear Gompertz function, so that the parameter estimates were considered to be affected by additive polygenic, systematic and SNP markers effects. The model assuming jointly pedigree and SNP markers presented the best fit based on Deviance Information Criterion. Heritability estimates ranged from 0.53 to 0.56 and from 0.55 to 0.57, respectively for the parameters mature weight (a) and maturing rate (k). Additionally, we found high and positive genetic correlation (0.78) between "a" and "k". The percentages of the genetic variances explained by each SNP allowed identifying the most relevant chromosome regions for each phenotype (growth curve parameters). The majority of these regions were closed to QTL regions previously reported for growth traits. However, we identified three relevant SNPs (55840514 bp at SSC17, 55814469 at SSC17 and 76475804 at SSC X) affecting "a" and "k" simultaneously, and three SNPs affecting only "a" (292758 bp at SSC1, 67319 bp at SSC8 and 50290193 bp at SSC17), that are located in regions not previously described as QTL for growth traits in pigs. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Livestock Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Hierarchical nonlinear model es_ES
dc.subject Gompertz es_ES
dc.subject SNP markers es_ES
dc.subject.classification PRODUCCION ANIMAL es_ES
dc.title Bayesian analysis of pig growth curves combining pedigree and genomic information es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.livsci.2017.03.024 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RYC-2016-19764/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal es_ES
dc.description.bibliographicCitation Lazaro, SF.; Ibáñez-Escriche, N.; Varona, L.; Fonseca E Silva, F.; Brito, LC.; Facioni Guimaraes, SE.; Lopes, PS. (2017). Bayesian analysis of pig growth curves combining pedigree and genomic information. Livestock Science. 201:34-40. https://doi.org/10.1016/j.livsci.2017.03.024 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.livsci.2017.03.024 es_ES
dc.description.upvformatpinicio 34 es_ES
dc.description.upvformatpfin 40 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 201 es_ES
dc.relation.pasarela S\343526 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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