Genetic and environmental heterogeneity of residual variance of weight traits in Nellore beef cattle


Autoria(s): Neves, Haroldo H. R.; Carvalheiro, Roberto; Queiroz, Sandra A.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

06/06/2012

Resumo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Background: Many studies have provided evidence of the existence of genetic heterogeneity of environmental variance, suggesting that it could be exploited to improve robustness and uniformity of livestock by selection. However, little is known about the perspectives of such a selection strategy in beef cattle.Methods: A two-step approach was applied to study the genetic heterogeneity of residual variance of weight gain from birth to weaning and long-yearling weight in a Nellore beef cattle population. First, an animal model was fitted to the data and second, the influence of additive and environmental effects on the residual variance of these traits was investigated with different models, in which the log squared estimated residuals for each phenotypic record were analyzed using the restricted maximum likelihood method. Monte Carlo simulation was performed to assess the reliability of variance component estimates from the second step and the accuracy of estimated breeding values for residual variation.Results: The results suggest that both genetic and environmental factors have an effect on the residual variance of weight gain from birth to weaning and long-yearling in Nellore beef cattle and that uniformity of these traits could be improved by selecting for lower residual variance, when considering a large amount of information to predict genetic merit for this criterion. Simulations suggested that using the two-step approach would lead to biased estimates of variance components, such that more adequate methods are needed to study the genetic heterogeneity of residual variance in beef cattle.

Formato

12

Identificador

http://dx.doi.org/10.1186/1297-9686-44-19

Genetics Selection Evolution. London: Biomed Central Ltd., v. 44, p. 12, 2012.

0999-193X

http://hdl.handle.net/11449/4672

10.1186/1297-9686-44-19

WOS:000306367100001

WOS000306367100001.pdf

Idioma(s)

eng

Publicador

Biomed Central Ltd.

Relação

Genetics Selection Evolution

Direitos

openAccess

Tipo

info:eu-repo/semantics/article