Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorFaria, Carina Ubirajara de
dc.creatorKoury Filho, William
dc.creatorMagnabosco, Cláudio Ulhôa
dc.creatorAlbuquerque, Lucia Galvão de
dc.creatorBezerra, Luiz Antônio Framartino
dc.creatorLôbo, Raysildo Barbosa
dc.date2014-05-20T13:18:26Z
dc.date2014-05-20T13:18:26Z
dc.date2009-01-01
dc.date.accessioned2017-04-05T19:41:20Z
dc.date.available2017-04-05T19:41:20Z
dc.identifierGenetics and Molecular Biology. Sociedade Brasileira de Genética, v. 32, n. 4, p. 753-760, 2009.
dc.identifier1415-4757
dc.identifierhttp://hdl.handle.net/11449/4522
dc.identifier10.1590/S1415-47572009005000066
dc.identifierS1415-47572009000400015
dc.identifierWOS:000272182700015
dc.identifierS1415-47572009000400015.pdf
dc.identifierhttp://dx.doi.org/10.1590/S1415-47572009005000066
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/853808
dc.descriptionThe aim of this study was to estimate the components of variance and genetic parameters for the visual scores which constitute the Morphological Evaluation System (MES), such as body structure (S), precocity (P) and musculature (M) in Nellore beef-cattle at the weaning and yearling stages, by using threshold Bayesian models. The information used for this was gleaned from visual scores of 5,407 animals evaluated at the weaning and 2,649 at the yearling stages. The genetic parameters for visual score traits were estimated through two-trait analysis, using the threshold animal model, with Bayesian statistics methodology and MTGSAM (Multiple Trait Gibbs Sampler for Animal Models) threshold software. Heritability estimates for S, P and M were 0.68, 0.65 and 0.62 (at weaning) and 0.44, 0.38 and 0.32 (at the yearling stage), respectively. Heritability estimates for S, P and M were found to be high, and so it is expected that these traits should respond favorably to direct selection. The visual scores evaluated at the weaning and yearling stages might be used in the composition of new selection indexes, as they presented sufficient genetic variability to promote genetic progress in such morphological traits.
dc.languageeng
dc.publisherSociedade Brasileira de Genética
dc.relationGenetics and Molecular Biology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectmorphological traits
dc.subjectThreshold model
dc.subjectGenetic parameter
dc.subjectNellore
dc.titleBayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle
dc.typeOtro


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