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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
21/11/2014 |
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Data da última atualização: |
05/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, D. J. A.; PEIXOTO, M. G. C. D.; BORQUIS, R. R. A.; PANETTO, J. C. do C.; EL FARO, L.; TONHATI, H. |
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Afiliação: |
D. J. A. SANTOS, UNESP; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; R. R. ASPILCUETA BORQUIS, UNESP; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; L. EL FARO, IZ - SP; H. TONHATI, UNESP. |
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Título: |
Predicting breeding values for milk yield of Guzerá (Bos indicus) cows using random regression models. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Livestock Science, v. 167, p. 41-50, 2014. |
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DOI: |
https://doi.org/10.1016/j.livsci.2014.05.023 |
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Idioma: |
Inglês |
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Conteúdo: |
Given the importance of Guzerá breeding programs for milk production in the tropics, the objective of this study was to compare alternative random regression models for estimation of genetic parameters and prediction of breeding values. Test-day milk yields records (TDR) were collected monthly, in a maximum of 10 measurements. The database included 20,524 records of first lactation from 2816 Guzerá cows. TDR data were analyzed by random regression models (RRM) considering additive genetic, permanent environmental and residual effects as random and the effects of contemporary group (CG), calving age as a covariate (linear and quadratic effects) and mean lactation curve as fixed. The genetic additive and permanent environmental effects were modeled by RRM using Wilmink, Ali and Schaeffer and cubic B-spline functions as well as Legendre polynomials. Residual variances were considered as heterogeneous classes, grouped differently according to the model used. Multi-trait analysis using finite-dimensional models (FDM) for test-day milk records (TDR) and a single-trait model for 305-days milk yields (default) using the restricted maximum likelihood method were also carried out as further comparisons. Through the statistical criteria adopted, the best RRM was the one that used the cubic B-spline function with five random regression coefficients for the genetic additive and permanent environmental effects. However, the models using the Ali and Schaeffer function or Legendre polynomials with second and fifth order for, respectively, the additive genetic and permanent environmental effects can be adopted, as little variation was observed in the genetic parameter estimates compared to those estimated by models using the B-spline function. Therefore, due to the lower complexity in the (co)variance estimations, the model using Legendre polynomials represented the best option for the genetic evaluation of the Guzerá lactation records. An increase of 3.6% in the accuracy of the estimated breeding values was verified when using RRM. The ranks of animals were very close whatever the RRM for the data set used to predict breeding values. Considering P305, results indicated only small to medium difference in the animals׳ ranking based on breeding values predicted by the conventional model or by RRM. Therefore, the sum of all the RRM-predicted breeding values along the lactation period (RRM305) can be used as a selection criterion for 305-day milk production. MenosGiven the importance of Guzerá breeding programs for milk production in the tropics, the objective of this study was to compare alternative random regression models for estimation of genetic parameters and prediction of breeding values. Test-day milk yields records (TDR) were collected monthly, in a maximum of 10 measurements. The database included 20,524 records of first lactation from 2816 Guzerá cows. TDR data were analyzed by random regression models (RRM) considering additive genetic, permanent environmental and residual effects as random and the effects of contemporary group (CG), calving age as a covariate (linear and quadratic effects) and mean lactation curve as fixed. The genetic additive and permanent environmental effects were modeled by RRM using Wilmink, Ali and Schaeffer and cubic B-spline functions as well as Legendre polynomials. Residual variances were considered as heterogeneous classes, grouped differently according to the model used. Multi-trait analysis using finite-dimensional models (FDM) for test-day milk records (TDR) and a single-trait model for 305-days milk yields (default) using the restricted maximum likelihood method were also carried out as further comparisons. Through the statistical criteria adopted, the best RRM was the one that used the cubic B-spline function with five random regression coefficients for the genetic additive and permanent environmental effects. However, the models using the Ali and Schaeffer function or Legendre polynomia... Mostrar Tudo |
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Palavras-Chave: |
B-spline function; Covariance function; Legendre polynomials; Parametric function. |
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Thesaurus Nal: |
lactation curve. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03285naa a2200253 a 4500
001 2000770
005 2024-02-05
008 2014 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.livsci.2014.05.023$2DOI
100 1 $aSANTOS, D. J. A.
245 $aPredicting breeding values for milk yield of Guzerá (Bos indicus) cows using random regression models.$h[electronic resource]
260 $c2014
520 $aGiven the importance of Guzerá breeding programs for milk production in the tropics, the objective of this study was to compare alternative random regression models for estimation of genetic parameters and prediction of breeding values. Test-day milk yields records (TDR) were collected monthly, in a maximum of 10 measurements. The database included 20,524 records of first lactation from 2816 Guzerá cows. TDR data were analyzed by random regression models (RRM) considering additive genetic, permanent environmental and residual effects as random and the effects of contemporary group (CG), calving age as a covariate (linear and quadratic effects) and mean lactation curve as fixed. The genetic additive and permanent environmental effects were modeled by RRM using Wilmink, Ali and Schaeffer and cubic B-spline functions as well as Legendre polynomials. Residual variances were considered as heterogeneous classes, grouped differently according to the model used. Multi-trait analysis using finite-dimensional models (FDM) for test-day milk records (TDR) and a single-trait model for 305-days milk yields (default) using the restricted maximum likelihood method were also carried out as further comparisons. Through the statistical criteria adopted, the best RRM was the one that used the cubic B-spline function with five random regression coefficients for the genetic additive and permanent environmental effects. However, the models using the Ali and Schaeffer function or Legendre polynomials with second and fifth order for, respectively, the additive genetic and permanent environmental effects can be adopted, as little variation was observed in the genetic parameter estimates compared to those estimated by models using the B-spline function. Therefore, due to the lower complexity in the (co)variance estimations, the model using Legendre polynomials represented the best option for the genetic evaluation of the Guzerá lactation records. An increase of 3.6% in the accuracy of the estimated breeding values was verified when using RRM. The ranks of animals were very close whatever the RRM for the data set used to predict breeding values. Considering P305, results indicated only small to medium difference in the animals׳ ranking based on breeding values predicted by the conventional model or by RRM. Therefore, the sum of all the RRM-predicted breeding values along the lactation period (RRM305) can be used as a selection criterion for 305-day milk production.
650 $alactation curve
653 $aB-spline function
653 $aCovariance function
653 $aLegendre polynomials
653 $aParametric function
700 1 $aPEIXOTO, M. G. C. D.
700 1 $aBORQUIS, R. R. A.
700 1 $aPANETTO, J. C. do C.
700 1 $aEL FARO, L.
700 1 $aTONHATI, H.
773 $tLivestock Science$gv. 167, p. 41-50, 2014.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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| Registros recuperados : 205 | |
| 5. |  | SILVA, M. V. G. B.; MACHADO, M. A.; PANETTO, J. C. do C.; MARTINS, M. F. Inovações nos programas de melhoramento de bovinos de leite com foco em genômica. In: VILELA, D.; FERREIRA, R. de P.; FERNANDES, E. N.; JUNTOLLI, F. V. (Ed.). Pecuária de leite no Brasil: cenários e avanços tecnológicos. Brasília, DF: Embrapa, 2016. p. 345-357.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | MOREIRA, R.; BRIGHENTI, C.; PANETTO, J. C. do C.; RESENDE, J. C. de. Método Bayesiano no ajuste do modelo de Wood para curva de lactação do gado Gir. Revista da Estatística da Universidade Federal de Ouro Preto, v. 3, n. 3, p. 531-535, 2014. Edição dos resumos expandidos da 59a Reunião Anual da Regional Brasileira da Sociedade Internacional de Biometria, 2014, Ouro Preto.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | SILVA, M. V. G. B.; VERARDO, L. L.; MACHADO, M. A.; PANETTO, J. C. do C.; CAROLINO, I.; CAROLINO, N. Candidate genes for disease, reproduction and meat quality traits in Portuguese native breeds. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 12., 2022, Rotterdam. Proceedings... Rotterdam: [s.n.], 2022.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | VERNEQUE, R. da S.; VERONEZE, R.; PANETTO, J. C. do C.; SILVA, M. V. G. B.; TORAL, F. L. B. A contribuição do melhoramento animal para a pecuária de leite. In: VILELA, D.; FERREIRA, R. de P.; FERNANDES, E. N.; JUNTOLLI, F. V. (Ed.). Pecuária de leite no Brasil: cenários e avanços tecnológicos. Brasília, DF: Embrapa, 2016. p. 255-264.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | CARVALHO, N. S.; DALTRO, D. S.; MACHADO, J. D.; CAMARGO, E. V.; PANETTO, J. C. do C.; COBUCI, J. A. Genetic parameters and genetic trends of conformation and management traits in Dairy Gir cattle. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 73, n. 4, p. 938-948, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | PACHECO, G. B.; NASCIMENTO, G. C.; PINHEIRO, R.; TEIXEIRA, R. B.; VERNEQUE, R. da S.; PANETTO, J. C. do C. Genetic parameters of milk production in gyr dairy cattle (Bos indicus). In: SIMPÓSIO NACIONAL DE BOVINOCULTURA LEITEIRA - SIMLEITE, 5.; SIMPÓSIO INTERNACIONAL DE BOVINOCULTURA LEITEIRA, 3., 2015, Viçosa, MG. Anais... Viçosa: UFV, 2015. p. 365-368| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 15. | | BRION, C. T.; SANTOS, L. B.; REIS, D. R. de L.; MARTINS, M. F.; SILVA, M. V. G. B.; PANETTO, J. C. do C.; MACHADO, M. A. Banco de DNA de Bovinos: avaliação de metodologias alternativas para extração de DNA. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 16., 2015, Juiz de Fora, MG Anais... Juiz de Fora: Embrapa Gado de Leite, 2015. 1 CD-ROM. (Embrapa Gado de Leite. Documentos, 185.). 2 p.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | OLIVEIRA, J. P. L.; NASCIMENTO, G. C.; COSTA, L. C.; TEIXEIRA, R. B.; PANETTO, J. C. do C.; PINHEIRO, R. O. Average inbreeding and genetic gain in simulated populations of dual-purpose cattle under different methods of selection. In: SIMPÓSIO NACIONAL DE BOVINOCULTURA LEITEIRA - SIMLEITE, 5.; SIMPÓSIO INTERNACIONAL DE BOVINOCULTURA LEITEIRA, 3., 2015, Viçosa, MG. Anais... Viçosa: UFV, 2015. p. 373-375| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | PERIPOLLI, E.; STAFUZZA, N. B.; MACHADO, M. A.; PANETTO, J. C. do C.; EGITO, A. A. do; BALDI, F.; SILVA, M. V. G. B. Assessment of copy number variants in three Brazilian locally adapted cattle breeds using whole-genome re-sequencing data. Animal Genetics, v. 54, n. 3, p. 254-270, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 18. | | OLIVEIRA, D. P. DE; CARDOSO, D. F.; PANETTO, J. C. do C.; ARAÚJO NETO, F. R.; FERNANDES, A. R.; TONHATI, H. Análise genética em características produtivas e reprodutivas de bovinos Gir leiteiro. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Viçosa: Sociedade Brasileira de Melhoramento Animal, 2013.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 19. | | SANTOS, D. J. DE A.; PEIXOTO, M. G. C. D.; VERNEQUE, R. da S.; PANETTO, J. C. do C.; RUSBEL, R. A. B.; CAMARGO, G. M.; TONHATI, H. Acuracia das estimativas dos valores genéticos obtidos com modelos de regressão aleatória. In: Reunião ALPA, 22., 2011, Montevideo. Memorias...| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 205 | |
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