Data/hora: 10/06/2024 16:05:40

Provedor de dados: 	86	
País: 	Brazil	
Título: 	Degree of multicollinearity and variables involved in linear dependence in additive-dominant models	
Autores: 	Petrini,Juliana; Dias,Raphael Antonio Prado; Pertile,Simone Fernanda Nedel; Eler,Joanir Pereira; Ferraz,José Bento Sterman; Mourão,Gerson Barreto.	
Data: 	2012-12-01	
Ano: 	2012	
Palavras-chave: 	Bos taurus x Bos indicus; Animal breeding; Beef cattle; Correlation matrix; Crossbreeding; Variance inflation factor.	
Resumo: 	The objective of this work was to assess the degree of multicollinearity and to identify the variables involved in linear dependence relations in additive-dominant models. Data of birth weight (n=141,567), yearling weight (n=58,124), and scrotal circumference (n=20,371) of Montana Tropical composite cattle were used. Diagnosis of multicollinearity was based on the variance inflation factor (VIF) and on the evaluation of the condition indexes and eigenvalues from the correlation matrix among explanatory variables. The first model studied (RM) included the fixed effect of dam age class at calving and the covariates associated to the direct and maternal additive and non-additive effects. The second model (R) included all the effects of the RM model except the maternal additive effects. Multicollinearity was detected in both models for all traits considered, with VIF values of 1.03 - 70.20 for RM and 1.03 - 60.70 for R. Collinearity increased with the increase of variables in the model and the decrease in the number of observations, and it was classified as weak, with condition index values between 10.00 and 26.77. In general, the variables associated with additive and non-additive effects were involved in multicollinearity, partially due to the natural connection between these covariables as fractions of the biological types in breed composition.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012001200010	
Editor: 	Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira	
Relação: 	10.1590/S0100-204X2012001200010	
Formato: 	text/html	
Fonte: 	Pesquisa Agropecuária Brasileira  v.47 n.12 2012	
Fonte: 	info:eu-repo/semantics/openAccess