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Journal of Dairy Science Vol. 73 No. 6 1612-1624
© 1990 by American Dairy Science Association ®
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A Method for Assessing Extent and Sources of Heterogeneity of Residual Variances in Mixed Linear Models

J. L. Foulley 1, D. Gianola 1, M. San Cristobal 1, and S. Im 1

1 Station de Genetique Quantitative et Appliquee, Institut National de la Recherche Agronomique, Jouy-en-Josas, 76350 France

A statistical method is presented for identifying sources of heterogeneity of residual variance in mixed linear models. The method is based on a log-linear model for the residual variances from which parameters can be estimated and hypotheses tested using the marginal likelihood function. It can be viewed as a generalization of Bartlett's test. Computing procedures are presented and an illustration is given. The method can be used with experimental or field data, e.g., to detect possible preferential treatment of daughters of sires or to investigate the possible segregation of major genes.

Submitted on August 7, 1989
Accepted on October 18, 1989




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R. Rekaya, K. A. Weigel, and D. Gianola
Bayesian Estimation of Parameters of a Structural Model for Genetic Covariances Between Milk Yield in Five Regions of the United States
J Dairy Sci, May 1, 2003; 86(5): 1837 - 1844.
[Abstract] [Full Text] [PDF]


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Copyright © 1990 by the American Dairy Science Association ®.