Assessment of genomic prediction reliability and optimization of experimental designs in multi-environment trials.

ABSTRACT:

Key message

New forms of the coefficient of determination can help to forecast the accuracy of genomic prediction and optimize experimental designs in multi-environment trials with genotype-by-environment interactions. In multi-environment trials, the relative performance of genotypes may vary depending on the environmental conditions, and this phenomenon is commonly referred to as genotype-by-environment interaction (G[Formula: see text]E). With genomic prediction, G[Formula: see text]E can be accounted for by modeling the genetic covariance between trials, even when the overall experimental design is highly unbalanced between trials, thanks to the genomic relationship between genotypes. In this study, we propose new forms of the coefficient of determination (CD, i.e., the expecte

SUBMITTER: Rio S 

PROVIDER: S-EPMC8866390 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature