Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests.
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.
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Format: | Artigo de periódico biblioteca |
Language: | English eng |
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2018-10-19
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Subjects: | Bovinos de corte, Gado de Corte, Animal breeding, Genetic correlation, Beef cattle, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1097795 |
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dig-alice-doc-10977952019-01-11T23:34:56Z Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests. SCALEZ, D. C. B. FRAGOMENI, B. de O. SANTOS, D. C. C. dos PASSAFARO, T. L. ALENCAR, M. M. de TORAL. F. L. B. Daiane Cristina Becker Scalez, UFMT; Breno de Oliveira Fragomeni, UFMG; Dalinne Chrystian Carvalho dos Santos, UFMG; Tiago Luciano Passafaro, UFMG; MAURICIO MELLO DE ALENCAR, CPPSE; Fabio Luiz Buranelo Toral, UFMG. Bovinos de corte Gado de Corte Animal breeding Genetic correlation Beef cattle 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. 2019-01-11T23:34:49Z 2019-01-11T23:34:49Z 2018-10-19 2018 2019-01-11T23:34:49Z Artigo de periódico Revista Brasileira de Zootecnia, v. 47, p. 1-9, 2018. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1097795 10.1590/rbz4720150300 en eng openAccess |
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Bovinos de corte Gado de Corte Animal breeding Genetic correlation Beef cattle Bovinos de corte Gado de Corte Animal breeding Genetic correlation Beef cattle |
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Bovinos de corte Gado de Corte Animal breeding Genetic correlation Beef cattle Bovinos de corte Gado de Corte Animal breeding Genetic correlation Beef cattle SCALEZ, D. C. B. FRAGOMENI, B. de O. SANTOS, D. C. C. dos PASSAFARO, T. L. ALENCAR, M. M. de TORAL. F. L. B. Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests. |
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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. |
author2 |
Daiane Cristina Becker Scalez, UFMT; Breno de Oliveira Fragomeni, UFMG; Dalinne Chrystian Carvalho dos Santos, UFMG; Tiago Luciano Passafaro, UFMG; MAURICIO MELLO DE ALENCAR, CPPSE; Fabio Luiz Buranelo Toral, UFMG. |
author_facet |
Daiane Cristina Becker Scalez, UFMT; Breno de Oliveira Fragomeni, UFMG; Dalinne Chrystian Carvalho dos Santos, UFMG; Tiago Luciano Passafaro, UFMG; MAURICIO MELLO DE ALENCAR, CPPSE; Fabio Luiz Buranelo Toral, UFMG. SCALEZ, D. C. B. FRAGOMENI, B. de O. SANTOS, D. C. C. dos PASSAFARO, T. L. ALENCAR, M. M. de TORAL. F. L. B. |
format |
Artigo de periódico |
topic_facet |
Bovinos de corte Gado de Corte Animal breeding Genetic correlation Beef cattle |
author |
SCALEZ, D. C. B. FRAGOMENI, B. de O. SANTOS, D. C. C. dos PASSAFARO, T. L. ALENCAR, M. M. de TORAL. F. L. B. |
author_sort |
SCALEZ, D. C. B. |
title |
Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests. |
title_short |
Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests. |
title_full |
Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests. |
title_fullStr |
Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests. |
title_full_unstemmed |
Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests. |
title_sort |
random regression models with b-splines to estimate genetic parameters for body weight of young bulls in performance tests. |
publishDate |
2018-10-19 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1097795 |
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