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Bayesian modeling of heterogeneous error and genotype x environment interaction variances.
From:
Crop Science
| Date:
March 1, 2006| Author:
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COPYRIGHT 2006 Crop Science Society of America. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group.
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An important assumption in the analysis of multienvironment cultivar trials is homogeneity of error and genotype x environment interaction variances. When variances are heterogeneous, the best estimators of performance are obtained by weighting inversely to variance components. However, because variances are almost never known and must be estimated, the additional error introduced into the model from estimating many variances may cause weighted estimators to perform poorly. Our objective was to test a Bayesian approach to estimating heterogeneous error and genotype x environment interaction ...
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