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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: |
12/04/2013 |
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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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Autoria: |
SANTOS, D. J. A.; PEIXOTO, M. G. C. D.; BORQUIS, R. R. A.; VERNEQUE, R. da S.; PANETTO, J. C. do C.; TONHATI, H. |
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Afiliação: |
D. J. A. SANTOS, UNESP; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; R. R. ASPILCUETA BORQUIS, UNESP; RUI DA SILVA VERNEQUE, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; H. TONHATI, UNESP. |
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Título: |
Comparison of random regression models to estimate genetic parameters for milk production in guzerat (Bos indicus) cows. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 12, n. 1, p. 143-153, 2013. |
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DOI: |
https://doi.org/10.4238/2013.January.24.6 |
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Idioma: |
Inglês |
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Conteúdo: |
Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data. Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data. MenosRandom regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali... Mostrar Tudo |
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Palavras-Chave: |
Função de covariância; Funções paramétricas; Teste do dia-a produção de leite. |
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Thesaurus Nal: |
zebu. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 04023naa a2200241 a 4500
001 1955810
005 2024-02-09
008 2013 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.4238/2013.January.24.6$2DOI
100 1 $aSANTOS, D. J. A.
245 $aComparison of random regression models to estimate genetic parameters for milk production in guzerat (Bos indicus) cows.$h[electronic resource]
260 $c2013
520 $aRandom regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data. Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data.
650 $azebu
653 $aFunção de covariância
653 $aFunções paramétricas
653 $aTeste do dia-a produção de leite
700 1 $aPEIXOTO, M. G. C. D.
700 1 $aBORQUIS, R. R. A.
700 1 $aVERNEQUE, R. da S.
700 1 $aPANETTO, J. C. do C.
700 1 $aTONHATI, H.
773 $tGenetics and Molecular Research$gv. 12, n. 1, p. 143-153, 2013.
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Embrapa Gado de Leite (CNPGL) |
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| 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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