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| BIASSUS, I. de O.; COBUCI, J. A.; COSTA, C. N.; RORATO, N.; BRACCINI NETO, J.; CARDOSO, L. L.. |
| 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,... |
| Tipo: Artigo de periódico |
Palavras-chave: Herdabilidade; Polinômios de Legendre; Correlação genética; Modelo de regressão aleatória; Seleção. |
| Ano: 2010 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/881454 |
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