Regression approaches for modeling genotype-environment interaction and making predictions into unseen environments.

ABSTRACT:

Key message

Several seemingly distinct regression methods are closely related. Environmental covariates delivered improved prediction, and a new approach improves estimation of prediction variance. In plant breeding and variety testing, there is an increasing interest in making use of environmental information to enhance predictions for new environments. Here, we will review linear mixed models that have been proposed for this purpose. The emphasis will be on predictions and on methods to assess the uncertainty of predictions for new environments. Our point of departure is straight-line regression, which may be extended to multiple environmental covariates and genotype-specific responses. When observable environmental covariates are used, this is also known as factorial regression.

SUBMITTER: Hrachov M 

PROVIDER: S-EPMC12791071 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature