A Bayesian updating framework integrates historical MET data via conjugate inverse-gamma and inverse-Wishart priors to produce more realistic variance component estimates than REML.
(2013) and its statistical models as specified by Prus and Piepho (2021) for equation (17) and by Prus and Piepho (2024) for equation (18)
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A Bayesian Updating Framework for Long-term Multi-Environment Trial Data in Plant Breeding
A Bayesian updating framework integrates historical MET data via conjugate inverse-gamma and inverse-Wishart priors to produce more realistic variance component estimates than REML.