Data/hora: 04/06/2024 05:38:01

Provedor de dados: 	96	
País: 	Brazil	
Título: 	Persistence in milk, fat and protein production of primiparous Holstein cows by random regression models	
Autores: 	Biassus,Igor de Oliveira; Cobuci,Jaime Araújo; Costa,Claudio Napolis; Rorato,Paulo Roberto Nogara; Braccini Neto,José; Cardoso,Leandro Lunardini.	
Data: 	2010-12-01	
Ano: 	2010	
Palavras-chave: 	Genetic correlation; Heritability; Legendre polynomials; Random regression model; Selection.	
Resumo: 	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.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010001200009	
Editor: 	Sociedade Brasileira de Zootecnia	
Relação: 	10.1590/S1516-35982010001200009	
Formato: 	text/html	
Fonte: 	Revista Brasileira de Zootecnia  v.39 n.12 2010	
Fonte: 	info:eu-repo/semantics/openAccess