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

Carregando...
Imagem de Miniatura

Data

2009-01-01

Autores

Faria, Carina Ubirajara de
Koury Filho, William
Magnabosco, Cláudio Ulhôa
Albuquerque, Lucia Galvão de [UNESP]
Bezerra, Luiz Antônio Framartino
Lôbo, Raysildo Barbosa

Título da Revista

ISSN da Revista

Título de Volume

Editor

Sociedade Brasileira de Genética

Resumo

The 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.

Descrição

Palavras-chave

morphological traits, Threshold model, Genetic parameter, Nellore

Como citar

Genetics and Molecular Biology. Sociedade Brasileira de Genética, v. 32, n. 4, p. 753-760, 2009.