Genotype Environment Interaction (G × E) in Rapeseed Mustard Genotypes

Abstract

Nine rapeseed-mustard genotypes were grown in four different agro ecological regions (AEZs) such as Gazipur, Satkhira, Khulna and Cox’s Bazar in 2023-2024 to observe their performance over locations and to select the best one(s). Yield stability analyzed employing Eberhart and Russell’s model (1966). The environmental mean and genotypic mean ranged from 1020 (kg/ha) to 1889 (kg/ha) and 1119 (kg/ha) to 1619 (kg/ha), respectively. The regression coefficient (bi), deviation from regression (S 2 di) values of these genotypes ranged from 0.236 to 1.311 and 146.70 to 881.30, respectively. The regression coefficient (bi), deviation from regression (S 2 di) values of these genotypes for days to maturity (DM) ranged from −0.130 to 2.116 and 0.36 to 28.19, respectively. The minimum DM recorded in BS-14 (80.50) which was followed by BHS-01 (91.5), BAUS-01 (92.33).The maximum days for maturity recorded in BAUS-01 (94.08). The mean genotypes or environments in AMMI biplot located on the same parallel line, relative to the ordinate, have similar yield, while those located on the right side of the center of the axis have higher yields than those on the left hand side. The first interaction principal component axis (IPCAI) and means of genotypes and environments with the biplot accounting for up to 87.2% of the treatment sum of squares. Genotypes with IPCA1 scores near zero had little interaction across environments while genotypes with very high IPCA1 values had considerable interactions across environments. Among the genotypes, BS-16, BHS-01, BS-18 and BAUS-01 exhibited the higher grain yield, bi~1 and S 2 di~0 indicated that they were stable across the environments. Among the locations, Khulna was highly suitable for mustard cultivation followed by Satkhira and Cox’s Bazar.