Genome-wide Evaluation performs genome-wide evaluation under a multiple variance component model by using the maximum likelihood (ML) method and the MCMC implemented Bayesian method. There are two corresponding SAS programs (ML and Bayesian program) and three example data files.
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Lide Han and Shizhong Xu (2010).
Genome-wide evaluation for quantitative trait loci under the variance component model.