Finishing precocity visual score and genetic associations with growth traits in Angus beef cattle
Carregando...
Data
2014-01-01
Autores
Everling, D. M.
Bresolin, T. [UNESP]
Rorato, P. R. N.
Araujo, R. O.
Boligon, A. A. [UNESP]
Weber, T.
Dornelles, M. A.
Campos, L. T.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Funpec-editora
Resumo
Finishing precocity visual score selection was adopted to estimate the time from birth to reach slaughter age. This study estimated (co) variance components and genetic correlations for the finishing precocity score at weaning (WP) and yearling (YP) stages by using daily weight gain (BWG = from birth to weaning; WYG = from weaning to yearling) and speed of weight gain (BWR = from birth to weaning; WYR = from weaning to yearling) as support for a genetic evaluation program for Angus beef cattle. Genetic parameters were estimated using Bayesian inference, considering multi-trait analysis and assuming a nonlinear model for WP and YP and linear model for all other traits. Direct heritability estimates were 0.17 (WP), 0.19 (YP), 0.15 (BWG), 0.16 (WYG), 0.15 (BWR), and 0.16 (WYR). The genetic correlation between the finishing precocity score at two ages (weaning and yearling) was 0.61. Positive and moderate genetic correlations were obtained between WP and BWG (0.47) and WP and BWR (0.46). In contrast, negative and low genetic associations were estimated between WP and yearling growth traits (-0.16, WYG; -0.15, WYR). Genetic correlations between YP and other traits were positive 0.29 (BWG), 0.28 (BWR), 0.48 (WYG), and 0.47 (WYR). The selection response for the finishing precocity score at weaning and yearling ages would be low. Selection to increase WP and YP should result in favorable genetic changes in daily weight gains as a correlated response. Therefore, to obtain animals suited for beef cattle production systems, finishing precocity score and growth traits should be considered as selection criteria.
Descrição
Palavras-chave
Beef cattle, Gibbs sampling, Monte Carlo method, Threshold models
Como citar
Genetics And Molecular Research. Ribeirao Preto: Funpec-editora, v. 13, n. 3, p. 7757-7765, 2014.