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| 1. |  | FONSECA, M. Biotecnologia e engenharia genetica: um centro de excelencia no Brasil. Rumos, Rio de Janeiro, v. 22, n. 151, p. 10-14, ago. 1998. Pesquisadores citados na reportagem: Elibio Leopoldo Rech Filho, Francisco Aragao, Damares de Castro Monte, Edna da Costa Manso; Afonso Celso Valois, Maria Magaly Wetzel, Rodolfo Rumpf.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 840 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
17/10/2007 |
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Data da última atualização: |
16/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Nacional - C |
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Autoria: |
MELO, C. M. R. de; PACKER, I. U.; COSTA, C. N.; MACHADO, P. F. |
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Afiliação: |
C. M. R. de Melo, UFSC; I. U. Packer, ESALQ/USP; Cláudio Nápolis Costa, Embrapa Gado de Leite; P. F. Machado, ESALQ/USP. |
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Título: |
Genetic parameters for test day milk yields of first lactation Holstein cows by random regression models. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
Animal. The International Journal of Animal Biosciences, Cambridge, v. 1, n. 3, p. 325-334, 2007. |
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DOI: |
https://doi.org/10.1017/S1751731107685036 |
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Idioma: |
Inglês |
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Conteúdo: |
Covariance components for test day milk yield using 263 390 first lactation records of 32 448 Holstein cows were estimated using random regression animal models by restricted maximum likelihood. Three functions were used to adjust the lactation curve: the five-parameter logarithmic Ali and Schaeffer function (AS), the three-parameter exponential Wilmink function in its standard form (W) and in a modified form (W*), by reducing the range of covariate, and the combination of Legendre polynomial and W (LEG+W). Heterogeneous residual variance (RV) for different classes (4 and 29) of days in milk was considered in adjusting the functions. Estimates of RV were quite similar, rating from 4.15 to 5.29 kg2. Heritability estimates for AS (0.29 to 0.42), LEG+W (0.28 to 0.42) and W* (0.33 to 0.40) were similar, but heritability estimates used W (0.25 to 0.65) were highest than those estimated by the other functions, particularly at the end of lactation. Genetic correlations between milk yield on consecutive test days were close to unity, but decreased as the interval between test days increased. The AS function with homogeneous RV model had the best fit among those evaluated. |
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Palavras-Chave: |
Genetic parameters; random regression model; test day model; variance components. |
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Thesaurus NAL: |
milk yield. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/596115/1/Genetic-parameters-for-test-day-milk-yields-of-first-lactation-Holstein.pdf
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Marc: |
LEADER 01957naa a2200229 a 4500
001 1596115
005 2024-02-16
008 2007 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1017/S1751731107685036$2DOI
100 1 $aMELO, C. M. R. de
245 $aGenetic parameters for test day milk yields of first lactation Holstein cows by random regression models.$h[electronic resource]
260 $c2007
520 $aCovariance components for test day milk yield using 263 390 first lactation records of 32 448 Holstein cows were estimated using random regression animal models by restricted maximum likelihood. Three functions were used to adjust the lactation curve: the five-parameter logarithmic Ali and Schaeffer function (AS), the three-parameter exponential Wilmink function in its standard form (W) and in a modified form (W*), by reducing the range of covariate, and the combination of Legendre polynomial and W (LEG+W). Heterogeneous residual variance (RV) for different classes (4 and 29) of days in milk was considered in adjusting the functions. Estimates of RV were quite similar, rating from 4.15 to 5.29 kg2. Heritability estimates for AS (0.29 to 0.42), LEG+W (0.28 to 0.42) and W* (0.33 to 0.40) were similar, but heritability estimates used W (0.25 to 0.65) were highest than those estimated by the other functions, particularly at the end of lactation. Genetic correlations between milk yield on consecutive test days were close to unity, but decreased as the interval between test days increased. The AS function with homogeneous RV model had the best fit among those evaluated.
650 $amilk yield
653 $aGenetic parameters
653 $arandom regression model
653 $atest day model
653 $avariance components
700 1 $aPACKER, I. U.
700 1 $aCOSTA, C. N.
700 1 $aMACHADO, P. F.
773 $tAnimal. The International Journal of Animal Biosciences, Cambridge$gv. 1, n. 3, p. 325-334, 2007.
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Embrapa Gado de Leite (CNPGL) |
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