Título:	Persistence in milk, fat and protein production of primiparous Holstein cows by random regression models.
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.
Ano de publicação:	2010
Referência:	Revista Brasileira de Zootecnia, v. 39, n. 12, p. 2617-2624, 2010.
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.
Thesagro:	Seleção
Palavras-chave:	Herdabilidade Polinômios de Legendre Correlação genética Modelo de regressão aleatória
Digital Object Identifier:	https://doi.org/10.1590/S1516-35982010001200009
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPGL)