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Provedor de dados:  R. Bras. Zootec.
País:  Brazil
Título:  Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests
Autores:  Scalez,Daiane Cristina Becker
Fragomeni,Breno de Oliveira
Santos,Dalinne Chrystian Carvalho dos
Passafaro,Tiago Luciano
Alencar,Maurício Mello de
Toral,Fabio Luiz Buranelo
Data:  2018-01-01
Ano:  2018
Palavras-chave:  Animal breeding
Bos indicus
Genetic correlation
Heritability
Resumo:  ABSTRACT The objective of this study was to estimate genetic parameters for body weight of beef cattle in performance tests. Different random regression models with quadratic B-splines and heterogeneous residual variance were fitted to estimate covariance functions for body weights of Nellore and crossbred Charolais × Nellore bulls. The criteria −2 residual log-likelihood (−2RLL), Akaike Information Criterion (AIC), and consistent AIC (CAIC) were used to choose the most appropriate model. For Nellore bulls, residual variance was modeled with six classes of age, and direct additive genetic and permanent environment effects were modeled with quadratic B-splines with two and one intervals, respectively. For crossbred bulls, quadratic B-splines with one interval fitted direct additive genetic and permanent environment effects and nine classes of age were needed to fit residual variance. Pooling classes of age with up to 40% in difference of residual variances does not compromise the fit of the model. Heritability for body weight in performance tests are moderate (>0.25, for crossbred bulls) to high (>0.5, for Nellore bulls) and genetic correlation between weights over the test are also high (>0.65). Then, selection of young bulls in performance test is an efficient tool to increase body weight in beef cattle.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982018000100407
Editor:  Sociedade Brasileira de Zootecnia
Relação:  10.1590/rbz4720150300
Formato:  text/html
Fonte:  Revista Brasileira de Zootecnia v.47 2018
Direitos:  info:eu-repo/semantics/openAccess
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