Identification of high-yielding genotypes for cold climate in Iran using the GGE Biplot method
Habibollah Ghazvini, Alireza Pour-Aboughadareh, Seyed Shahriyar Jasemi, Soleiman Mohammadi, Sayed Alireza Razavi, Mehrdad Chaichi, Marefat Ghasemi Kalkhoran, Hassan Monirifar, Hamid Tajali, Afshin Rozbehani, Bita MJamshidi and Jan Bocianowski
Abstract: The development of high-yielding and stable cultivars necessitates a comprehensive understanding of genotype-by-environment interaction (GEI) effects through multi-trial experiments (MTEs). In this study, the grain yield performance, stability, and adaptability of newly developed barley genotypes were assessed across eight locations in Iran over two cropping seasons (2020–2022) using GGE biplot analysis. Analysis of variance of the grain yield data revealed significant effects of genotype, environment, and their interaction. The GGE biplot analysis identified two mega-environments, with Ardabil, Arak, and Tabriz being the most discriminating and representative test sites. Based on the “which-won-where” and “mean vs. stability” views, genotypes G5, G17, and G18 were identified as high-yielding, stable, and ideal candidates. Genotype G17 exhibited specific adaptability to Hamedan, Miandoad, and Karaj, whereas G5 and G18 were best adapted to Jolgeh Rokh, Mashhad, Tabriz, Ardabil, and Arak. These genotypes warrant further on-farm evaluation prior to their potential commercial release.