dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorMadureira, A. P.
dc.creatorOliveira, H. N.
dc.creatorRosa, G. J. M.
dc.creatorBezerra, L. F.
dc.creatorMarques, L. F. A.
dc.date2014-05-27T11:23:54Z
dc.date2016-10-25T18:27:03Z
dc.date2014-05-27T11:23:54Z
dc.date2016-10-25T18:27:03Z
dc.date2009-06-01
dc.date.accessioned2017-04-06T01:36:10Z
dc.date.available2017-04-06T01:36:10Z
dc.identifierArchivos de Zootecnia, v. 58, n. 222, p. 265-275, 2009.
dc.identifier0004-0592
dc.identifier1885-4494
dc.identifierhttp://hdl.handle.net/11449/71023
dc.identifierhttp://acervodigital.unesp.br/handle/11449/71023
dc.identifier10.4321/S0004-05922009000200011
dc.identifierS0004-05922009000200011
dc.identifierS0004-05922009000200011.pdf
dc.identifier2-s2.0-67549147013
dc.identifierhttp://dx.doi.org/10.4321/S0004-05922009000200011
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/892067
dc.descriptionData from purebred Simmental, Nellore and Canchim cattle breeds obtained from the respective Brazilian Associations of Breeders were used to estimate variance components and to predict genetic values for 365 days weight. The results obtained by Bayesian inference were compared to those from Restricted Maximum Likelihood (REML) and Best Linear Unbiased Prediction (BLUP), which are the most commonly used methods of estimation and prediction in animal breeding. The two methods presented similar point estimates but the study of the marginal posterior distributions in the Bayesian approach yields more detailed information about the parameters and other unknowns in the model.
dc.languagepor
dc.relationArchivos de Zootecnia
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAnimal model
dc.subjectBeef cattle
dc.subjectGenetic parameters
dc.subjectGibbs sampling
dc.subjectGrowth traits
dc.subjectAnimalia
dc.subjectBos
dc.titleInferência bayesiana na predição de valores genéticos do peso aos 365 dias de bovinos de corte
dc.typeOtro


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