This study sought to examine the genotype-by-environment interactions for the stability of agronomic characteristics i.e. grain yield (YLD), plant height (PH), days to flowering (DF) and maturity (DM), and hundred-grain weight (HGW) of a chickpea varietal population. A suit of chickpea genotypes (105 varieties and 3 breeder’s lines) was assessed over three successive years (2018–2020) in an RB design with two replications in the field under rainfed conditions. AMMI, GGE biplot, and BLUP techniques were applied. Trials were conducted at a single location in the Maragheh city, West Azerbaijan province, Iran. In the AMMI method10 (ICCV 14313), 74 (BKH31), 93 (ICCV 14108), and 18 (ICCV 15307) were the high yielding and, 108 (ICCV 15105), 80 (BKH37), and 14 (ICCV 14317) as the highest stable genotypes for grain yield. For days to flowering, genotype 2 (ICCV 14303) was considered the most stable and early flowering time, for days to maturity, breeder line 33 (ICCV 16309) was the most stable with early maturity time, for plant height, genotype 31 (ICCV 16307) showed the lowest height and 95 (ICCV 14110) and 25 (ICCV 16301) as the highest stable genotypes. For 100-seed weight, genotype 32 (ICCV 16308) had the highest grain value, and 104 (ICCV 15101) as the most stable. GGE biplot identified 10 (ICCV 14313), 74 (BKH31), 93 (ICCV 14108), 43 (ICCV 07101), and 23 (ICCV 15317) as the best, and 93 as the ideal genotype for grain yield. Considering WAASB score, genotypes 18, and 5 were the best performers for grain yield. In our previous study, considering MTSI, MGIDI, FAI-BLUP, and Smith-Hazel methodologies, genotypes 10, 18, 23, 74, and 93 have been the winners. The winning genotypes could be potential parents with climate resilience, empowering growers to improve both yield potential and stability across similar years and regions.
