Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision.

Abstract excerpt

KEY MESSAGE: We propose the utilisation of environmental covariates in random coefficient models to predict the genotype performances in new locations. Multi-environment trials (MET) are conducted to assess the performance of a set of genotypes in a target population of environments. From a grower's perspective, MET results must provide high accuracy and precision for predictions of genotype performance in new...

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