MegaLMM improves genomic predictions in new environments using environmental covariates.

Abstract excerpt

Multienvironment trials (METs) are crucial for identifying varieties that perform well across a target population of environments. However, METs are typically too small to sufficiently represent all relevant environment-types, and face challenges from changing environment-types due to climate change. Statistical methods that enable prediction of variety performance for new environments beyond the METs are needed....

Topics

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• Environment
• Gene-Environment Interaction
• Genome, Plant
• Genomics
• Models, Genetic
• Models, Statistical