Phenotypic plasticity in maize grain yield: Genetic and environmental insights of response to environmental gradients.

ABSTRACT: Understanding genotype-by-environment (G × E) interactions that underlie phenotypic variation, when observed for complex traits in multi-environment trials, is important for biological discovery and for crop improvement. The regression-on-the-mean model is an approach to observe G × E trends for complex traits across a gradient of environmental inputs. Biologically relevant environmental index values can be utilized to quantify phenotypic plasticity of individuals by correlating environmental means and environmental parameters within specific time windows. By accounting for trait stability, improvements can be made in genome-wide association studies and genomic prediction models involving data with high volumes of environments, genotypes, and their interaction effects. Here, field data col

SUBMITTER: Ozair F 

PROVIDER: S-EPMC12332327 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature