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.
org/10.1186/s12711-024-00939-x Studnicki, M., & Piepho, H
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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.