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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
18/03/2011 |
Data da última atualização: |
23/01/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BIASSUS, I. de O.; COBUCI, J. A.; COSTA, C. N.; RORATO, N.; BRACCINI NETO, J.; CARDOSO, L. L. |
Afiliação: |
IGOR DE OLIVEIRA BIASSUS, UFRGS; JAIME ARAÚJO COBUCI, UFRGS / CNPq; CLAUDIO NAPOLIS COSTA, CNPGL; NOGARA RORATO, UFSM; JOSÉ BRACCINI NETO, UFRGS; LEANDRO LUNARDINI CARDOSO, UFRGS. |
Título: |
Persistence in milk, fat and protein production of primiparous Holstein cows by random regression models. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
Revista Brasileira de Zootecnia, v. 39, n. 12, p. 2617-2624, 2010. |
DOI: |
https://doi.org/10.1590/S1516-35982010001200009 |
Idioma: |
Inglês |
Conteúdo: |
Total numbers of 56,508, 35,091 and 8,326 records of milk, fat, and protein test-day yields, respectively, were used to estimate genetic parameters for six persistency measures on milk, fat and protein productions of Holstein cows reared in Minas Gerais state. Covariance components for additive genetic effects and permanent environmental effects were estimated by REML in random regression models using Legendre polynomials from the third to the sixth order. Overall, models with the highest orders of Legendre polynomials showed the best quality of adjustments of these productive records. Heritability estimates obtained by the models for persistence in milk, fat, and protein yields ranged from 0.04 to 0.32, from 0.00 to 0.23, and from 0.00 to 0.27, respectively. Values of genetic correlation estimates between persistence and total 305-day milk, fat, and protein yields ranged from -0.38 to 0.54, from -0.39 to 0.97, and from -0.78 to 0.67, respectively. Persistence measurement proposed by Jakobsen (PS2) is preferential for using in further genetic evaluations for persistence in milk, fat and protein yields of Holstein cows in Minas Gerais state. |
Palavras-Chave: |
Correlação genética; Herdabilidade; Modelo de regressão aleatória; Polinômios de Legendre. |
Thesagro: |
Seleção. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/881454/1/Persistence-in-milk-fat-and-protein-production-of-primiparous-Holstein-cows.pdf
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Marc: |
LEADER 01983naa a2200253 a 4500 001 1881454 005 2023-01-23 008 2010 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1590/S1516-35982010001200009$2DOI 100 1 $aBIASSUS, I. de O. 245 $aPersistence in milk, fat and protein production of primiparous Holstein cows by random regression models.$h[electronic resource] 260 $c2010 520 $aTotal numbers of 56,508, 35,091 and 8,326 records of milk, fat, and protein test-day yields, respectively, were used to estimate genetic parameters for six persistency measures on milk, fat and protein productions of Holstein cows reared in Minas Gerais state. Covariance components for additive genetic effects and permanent environmental effects were estimated by REML in random regression models using Legendre polynomials from the third to the sixth order. Overall, models with the highest orders of Legendre polynomials showed the best quality of adjustments of these productive records. Heritability estimates obtained by the models for persistence in milk, fat, and protein yields ranged from 0.04 to 0.32, from 0.00 to 0.23, and from 0.00 to 0.27, respectively. Values of genetic correlation estimates between persistence and total 305-day milk, fat, and protein yields ranged from -0.38 to 0.54, from -0.39 to 0.97, and from -0.78 to 0.67, respectively. Persistence measurement proposed by Jakobsen (PS2) is preferential for using in further genetic evaluations for persistence in milk, fat and protein yields of Holstein cows in Minas Gerais state. 650 $aSeleção 653 $aCorrelação genética 653 $aHerdabilidade 653 $aModelo de regressão aleatória 653 $aPolinômios de Legendre 700 1 $aCOBUCI, J. A. 700 1 $aCOSTA, C. N. 700 1 $aRORATO, N. 700 1 $aBRACCINI NETO, J. 700 1 $aCARDOSO, L. L. 773 $tRevista Brasileira de Zootecnia$gv. 39, n. 12, p. 2617-2624, 2010.
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Embrapa Gado de Leite (CNPGL) |
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1. | | BIASSUS, I. de O.; COBUCI, J. A.; COSTA, C. N.; RORATO, N.; BRACCINI NETO, J.; CARDOSO, L. L. Persistence in milk, fat and protein production of primiparous Holstein cows by random regression models. Revista Brasileira de Zootecnia, v. 39, n. 12, p. 2617-2624, 2010.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
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