BAYESIAN INFERENCE AND ITS APPLICATION IN THE GENETIC EVALUATION OF THE NELLORE CATTLE: BIBLIOGRAPHIC REVIEW

Authors

  • Carina Ubirajara de Faria
  • Cláudio de Ulhôa Magnabosco
  • Arcadio de los Reyes
  • Raysildo Barbosa Lôbo
  • Luiz Antônio Framartino Bezerra

DOI:

https://doi.org/10.5216/cab.v8i1.1161

Abstract

Restricted Maximum Likelihood method has been the choice method of the genetic improvement programs to estimate variance components the breeding values. However, the bayesian inference appears as an alternative of the great flexibility, as much in relation the models that can be used in the analyses, how in relation the inferences that can be carried from the results. Its application in genetic analyses allows obtaining the posteriors densities of the variables and can be used in small or great data sets, not being necessary the knowledge initial distribution of the parameter. In Brazil, Gibbs sampling method, that allows a bayesian inference, has been used with success in diverse studies involving field data of Nellore cattle. KEY WORDS: Genetics parameters, Gibbs sampling, linear models.

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Published

2007-04-20

How to Cite

FARIA, C. U. de; MAGNABOSCO, C. de U.; REYES, A. de los; LÔBO, R. B.; BEZERRA, L. A. F. BAYESIAN INFERENCE AND ITS APPLICATION IN THE GENETIC EVALUATION OF THE NELLORE CATTLE: BIBLIOGRAPHIC REVIEW. Brazilian Animal Science/ Ciência Animal Brasileira, Goiânia, v. 8, n. 1, p. 75–86, 2007. DOI: 10.5216/cab.v8i1.1161. Disponível em: https://revistas.ufg.br/vet/article/view/1161. Acesso em: 7 jul. 2024.

Issue

Vol. 8 No. 1 (2007)

Section

Animal Production

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