You are in the accessibility menu

Please use this identifier to cite or link to this item:
Genetic analysis of the temperament of Nellore cattle using linear and threshold models
  • Universidade Estadual Paulista (UNESP)
  • Gensys Consultores Associados S/C Ltda
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Temperament is an important trait for the management and welfare of animals and for reducing accidents involving people who work with cattle. The present study aimed to estimate the genetic parameters related to the temperament score (T) and weaning weight (WW) of Nellore cattle, reared in a beef cattle breeding program in Brazil. Data were analyzed using two different two-trait statistical models, both considering WW and T: (1) a linear-linear model in which variance components (VCs) were estimated using restricted maximum likelihood; and (2) a linear-threshold model in which VCs were estimated via Bayesian inference. WW was included in the analyses of T to minimize any possible effects of sequential selection and to allow for estimation of the genetic correlation between these two traits. The heritability estimates for T were 0.21 +/- 0.003 (model 1) and 0.26 (model 2, with a 95% credibility interval (95% CI) of 0.21 to 0.32). The estimated genetic correlations between WW and T were of a moderate magnitude (-0.33 +/- 0.01 (model 1) and -0.34 (95% CI: -0.40, -0.28, model 2). The genetic correlations between the estimated breeding values (EBVs) obtained for the animals based on the two models were high (>0.92). The use of different models had little influence on the classification of animals based on EBVs or the accuracy of the EBVs.
Issue Date: 
Animal. Cambridge: Cambridge Univ Press, v. 9, n. 3, p. 388-394, 2015.
Time Duration: 
Cambridge Univ Press
  • Beef production
  • Categorical trait
  • Genetic parameter
  • Performance trait
Access Rights: 
Acesso restrito
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.