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ABSTRACT: Objective
Evaluating new promising genotypes across multiple environments emphasizes the importance of grain yield stability and increasing production in sustainable agricultural systems. One way to achieve this is through multi-environment trials (METs) studying genotype-by-environment interaction (GEI) effects. GEI analysis has significantly advanced over the years, with various models and methods developed to better understand and utilize this phenomenon in plant breeding and finally identification of high-yielding and stable genotypes. This report aimed to integrate various stability parameters and selection models to achieve better decisions in selecting superior genotypes. Moreover, modified R-based scripts for selection models have been presented.Results
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SUBMITTER: Pour-Aboughadareh A
PROVIDER: S-EPMC12269184 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature