Deciphering genotype-by-environment interaction in barley genotypes using different adaptability and stability methods
2023
Pour-Aboughadareh, A. | Barati, A. | Gholipoor, A. | Zali, H. | Marzooghian, A. | Koohkan, S.A. | Shahbazi-Homonloo, K. | Houseinpour, A.
Dissection of genotype-by-environment interaction (GEI) effects has a key role in identifying stable high-yielding genotypes across various environments before commercial release. This study sought to assess the GEI effect and to identify superior barley genotypes using 32 parametric and non-parametric stability statistics. Eighteen new promising genotypes along with one improved cultivar (as check) were evaluated across ten environments during the 2019–2021 cropping seasons in the warm climate of Iran. The AMMI analysis of variance indicated that genotype, environment, and GEI effects were significant for grain yield. Furthermore, partitioning of the GEI effect showed that the first six interaction principal components (IPCA1–IPCA6) were highly significant. Multivariate analyses classified all measured statistics into five groups based on the dynamic and static concepts of stability. Among the stability statistics, HMGV, RPGV, HMRPGV, CV, NP(2), NP(3), NP(4), KR, S(3), and S(6) showed a dynamic concept of stability. Based on all methods, genotypes G2, G3, G9, G11, G14, and G17 were identified as stable high-yielding genotypes. In general, based on all of the used approaches, G9 and G11 were identified as the best genotypes for cultivation in the warm regions of Iran; hence, these genotypes can be considered for commercial release.
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