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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
11/10/2005 |
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Data da última atualização: |
29/09/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
COBUCI, J. A.; EUCLYDES, R. F.; LOPES, P. S.; COSTA, C. N.; TORRES, R. de A.; PEREIRA, C. S. |
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Afiliação: |
CNPGL. |
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Título: |
Estimation of genetic parameters for test-day milk yield in holstein cows using a random regression model. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
Genetics and Molecular Biology, v. 28, n. 1, p. 75-83, 2005. |
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DOI: |
https://doi.org/10.1590/S1415-47572005000100013 |
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Idioma: |
Inglês |
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Conteúdo: |
Test-day milk yield records of 11,023 first-parity Holstein cows were used to estimate genetic parameters for milk yield during different lactation periods. (Co)variance components were estimated using two random regression models, RRM1 and RRM2, and the restricted maximum likelihood method, compared by the likelihood ratio test. Additive genetic variances determined by RRM1 and additive genetic and permanent environmental variances estimated by RRM2 were described, using the Wilmink function. Residual variance was constant throughout lactation for the two models. The heritability estimates obtained by RRM1 (0.34 to 0.56) were higher than those obtained by RRM2 (0.15 to 0.31). Due to the high heritability estimates for milk yield throughout lactation and the negative genetic correlation between test-day yields during different lactation periods, the RRM1 model did not fit the data. Overall, genetic correlations between individual test days tended to decrease at the extremes of the lactation trajectory, showing values close to unity for adjacent test days. The inclusion of random regression coefficients to describe permanent environmental effects led to a more precise estimation of genetic and non-genetic effects that influence milk yield. |
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Thesagro: |
Gado Holandês; Parâmetro Genético; Produção Leiteira. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/594884/1/Estimation-of-genetic-parameters-for-test-day-milk-yield-in-holstein-cows-using-a-random-regression-model.pdf
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Marc: |
LEADER 01998naa a2200229 a 4500
001 1594884
005 2022-09-29
008 2005 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/S1415-47572005000100013$2DOI
100 1 $aCOBUCI, J. A.
245 $aEstimation of genetic parameters for test-day milk yield in holstein cows using a random regression model.$h[electronic resource]
260 $c2005
520 $aTest-day milk yield records of 11,023 first-parity Holstein cows were used to estimate genetic parameters for milk yield during different lactation periods. (Co)variance components were estimated using two random regression models, RRM1 and RRM2, and the restricted maximum likelihood method, compared by the likelihood ratio test. Additive genetic variances determined by RRM1 and additive genetic and permanent environmental variances estimated by RRM2 were described, using the Wilmink function. Residual variance was constant throughout lactation for the two models. The heritability estimates obtained by RRM1 (0.34 to 0.56) were higher than those obtained by RRM2 (0.15 to 0.31). Due to the high heritability estimates for milk yield throughout lactation and the negative genetic correlation between test-day yields during different lactation periods, the RRM1 model did not fit the data. Overall, genetic correlations between individual test days tended to decrease at the extremes of the lactation trajectory, showing values close to unity for adjacent test days. The inclusion of random regression coefficients to describe permanent environmental effects led to a more precise estimation of genetic and non-genetic effects that influence milk yield.
650 $aGado Holandês
650 $aParâmetro Genético
650 $aProdução Leiteira
700 1 $aEUCLYDES, R. F.
700 1 $aLOPES, P. S.
700 1 $aCOSTA, C. N.
700 1 $aTORRES, R. de A.
700 1 $aPEREIRA, C. S.
773 $tGenetics and Molecular Biology$gv. 28, n. 1, p. 75-83, 2005.
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Embrapa Gado de Leite (CNPGL) |
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| 1. |  | ANDOW, D. A.; NGUYEN, V. T.; HILBECK, A.; UNDERWOOD, E.; BIRCH, A. N. E.; DINH, Q. T.; FITT, G. P.; GIBAND, M.; WEST, J. J.; LANG, A.; LÊ, Q. Q.; LÊ, T. T. H.; LÖVEI, G. L.; NELSON, K. C.; NGUYEN, H. S.; NGUYEN, H. H.; NGUYEN, T. H.; NGUYEN, T. T. C.; NGUYEN, V. H.; NGUYEN, V. U.; PHAM, V. L.; PHAM, V. T.; SUJII, E. R.; TRAN, A. H.; TRAN, T. C. H.; VU, D. Q.; WHEATLEY, R. E.; WILSON, L. J. Challenges and opportunities with BT cotton in Vietnam: synthesis and resommendations. In: ANDOW, D. A.; HILBECK, A.; TUAT, N. V. (Ed.) Environmental risk assessment of genetically modified organisms: challenges and opportunities with BT cotton in Vietnam. Wallingford, UK: CABI Publishing, 2008. v. 4 360 p. (Environmental risk assessment of genetically modified organisms series, v. 4). p. 330-344.| Tipo: Capítulo em Livro Técnico-Científico |
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