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| 1. |  | GUIMARÃES, A. M.; FREITAS, L. A. de; FERNER, J. S.; ALVES, M. A.; DISSIUTA, S. I.; DIESEL, V. A percepção de agricultores familiares sobre modelos de sistemas agroflorestais no ebordo da serra na região central do RS. In: CONGRESSO BRASILEIRO DE SISTEMAS AGROFLORESTAIS, 5., 2004, Curitiba. SAFs: desenvolvimento com proteção ambiental: anais. Colombo: Embrapa Florestas, 2004. p.151-153. (Embrapa Florestas. Documentos, 98).| Biblioteca(s): Embrapa Florestas. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
11/04/2013 |
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Data da última atualização: |
09/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
PEREIRA, R. J.; BIGNARDI, A. B.; EL FARO, L.; VERNEQUE, R. da S.; VERCESI FILHO, A. E.; ALBUQUERQUE, L. G. |
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Afiliação: |
R. J. PEREIRA, UNESP; A. B. BIGNARDI, UNESP; L. EL FARO, APTA; RUI DA SILVA VERNEQUE, CNPGL; A. E. VERCESI FILHO, APTA; L. G. ALBUQUERQUE, UNESP. |
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Título: |
Random regression models using legendre polynomials or linear splines for test-day milk yield of dairy Gyr (Bos indicus) cattle. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Journal of Dairy Science, v. 96, n. 1, p. 565-574, 2013. |
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DOI: |
https://doi.org/10.3168/jds.2011-5051 |
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Idioma: |
Inglês |
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Conteúdo: |
Studies investigating the use of random regression models for genetic evaluation of milk production in Zebu cattle are scarce. In this study, 59,744 test-day milk yield records from 7,810 first lactations of purebred dairy Gyr (Bos indicus) and crossbred (dairy Gyr × Holstein) cows were used to compare random regression models in which additive genetic and permanent environmental effects were modeled using orthogonal Legendre polynomials or linear spline functions. Residual variances were modeled considering 1, 5, or 10 classes of days in milk. Five classes fitted the changes in residual variances over the lactation adequately and were used for model comparison. The model that fitted linear spline functions with 6 knots provided the lowest sum of residual variances across lactation. On the other hand, according to the deviance information criterion (DIC) and Bayesian information criterion (BIC), a model using third-order and fourth-order Legendre polynomials for additive genetic and permanent environmental effects, respectively, provided the best fit. However, the high rank correlation (0.998) between this model and that applying third-order Legendre polynomials for additive genetic and permanent environmental effects, indicates that, in practice, the same bulls would be selected by both models. The last model, which is less parameterized, is a parsimonious option for fitting dairy Gyr breed test-day milk yield records. |
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Palavras-Chave: |
Estrias; Função covariancia; Modelo de regressão randomica; Polinomial ortogonal. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02247naa a2200241 a 4500
001 1955583
005 2024-02-09
008 2013 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3168/jds.2011-5051$2DOI
100 1 $aPEREIRA, R. J.
245 $aRandom regression models using legendre polynomials or linear splines for test-day milk yield of dairy Gyr (Bos indicus) cattle.$h[electronic resource]
260 $c2013
520 $aStudies investigating the use of random regression models for genetic evaluation of milk production in Zebu cattle are scarce. In this study, 59,744 test-day milk yield records from 7,810 first lactations of purebred dairy Gyr (Bos indicus) and crossbred (dairy Gyr × Holstein) cows were used to compare random regression models in which additive genetic and permanent environmental effects were modeled using orthogonal Legendre polynomials or linear spline functions. Residual variances were modeled considering 1, 5, or 10 classes of days in milk. Five classes fitted the changes in residual variances over the lactation adequately and were used for model comparison. The model that fitted linear spline functions with 6 knots provided the lowest sum of residual variances across lactation. On the other hand, according to the deviance information criterion (DIC) and Bayesian information criterion (BIC), a model using third-order and fourth-order Legendre polynomials for additive genetic and permanent environmental effects, respectively, provided the best fit. However, the high rank correlation (0.998) between this model and that applying third-order Legendre polynomials for additive genetic and permanent environmental effects, indicates that, in practice, the same bulls would be selected by both models. The last model, which is less parameterized, is a parsimonious option for fitting dairy Gyr breed test-day milk yield records.
653 $aEstrias
653 $aFunção covariancia
653 $aModelo de regressão randomica
653 $aPolinomial ortogonal
700 1 $aBIGNARDI, A. B.
700 1 $aEL FARO, L.
700 1 $aVERNEQUE, R. da S.
700 1 $aVERCESI FILHO, A. E.
700 1 $aALBUQUERQUE, L. G.
773 $tJournal of Dairy Science$gv. 96, n. 1, p. 565-574, 2013.
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