In the present study carried out, twelve wheat (Triticum aestivium L.) genotypes were evaluated for eight morphological traits at six different environments in northern part of Bangladesh, namely Panchaghar (E1), Thakurgaon (E2), Nilphamari (E3), Lalmonirhat (E4), Dinajpur (E5), and Rangpur (E6) during Rabi season 2020 to 2021, respectively. The data collected were subjected to variability and correlation analyses, followed by stability analysis using additive main effects and multiplicative interaction (AMMI) model, genotype and genotype × environment interaction effects (GGE) biplot. Variability was observed among the genotypes for the following traits viz., plant height (cm), spike length (cm), number of tillers per plant, number of spikelets per spike, spike weight per plant, grains weight per spike (g), thousand seed weight (g) and grain yield (t/ha). Correlation analysis showed that the trait thousand seed weight was significantly associated with grain yield. The G × E was smaller than the genetic variation of grain yield as it portrayed the maximum contribution of genotypic effects (58.34%). GGE biplot showed E6 as a highly discriminating and representative environment. It also identified environment-specific genotypes viz., BARI Gom 32 for E6, BARI Gom 30 for (E2 and E4) and BARI Gom 26 for E1 were particular environment and the genotypes viz., BARI Gom 21, BARI Gom 23, and BARI Gom 30 were highly suitable for all the six environments. The genotypes with minimum genotype stability index (GSI) viz., BARI Gom 21 (17), BARI Gom 23 (22), and BARI Gom 30 (25) were observed with wide adaptation and high yields across all the six environments. In summary, we identified stable genotypes adapted across environments for grain yield. These genotypes can be used as parent/prebreeding materials in future wheat breeding programs.
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