Analysis of genotype-by-environment interaction effect in barely genotypes using AMMI and GGE biplot methods.

ABSTRACT: Genotype-by-environment interaction (GEI) analysis play a key role in any breeding program involving the development of new varieties for cultivation across various environments or in a specific region. The additive main effects and multiplicative interaction (AMMI) method and the GGE biplot are the two main statistical tools that have emerged to analyze GEI in multi-environment trials (METs). The main goal of the present study was to identify the best-performing and stable barley genotypes for the warm regions of Iran. For this purpose, 18 new advanced barley genotypes were investigated in five warm locations in Iran during two cropping seasons (2021-2023). In all experiments, test genotypes were evaluated in a randomized complete block design (RCBD) with three replications. Based on resu

SUBMITTER: Rahmati S 

PROVIDER: S-EPMC11437835 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature