The analysis of variance indicated significant difference among genotypes in each environment for all seventeen traits studied (Table 2). Pooled analysis of variance also exhibited significant differences among genotypes and environments for all characters under study (Table 3) which indicate the high degree of variability among genotypes as well as in environments. Significant G x E interactions revealed the varying performance of genotypes in different environments for all characters except pod length. Similar findings were earlier reported by Lal
et al., (2013),
Win et al., (2018), Wankhede and Najan (2019),
Baraki et al., (2020) and
Singh et al., (2020) in mungbean.
The mean squares due to E+ (G x E) were found to be significant for all the traits except days to flowering, days to maturity, 100-seed weight and total chlorophyll content. Environments (linear) were found significant for all characters representing the presence of variability among environments; thereby, indicating the effect of environment on performance of genotypes. Linear component of G x E interaction was found significant for plant height, number of pods per plant, number of seeds per pod, biological yield per plant, chlorophyll-a, proline content and protein content indicated that the performance of genotypes with reference to seed yield and above mentioned component characters is predictable. Pooled deviation (non-linear) was found non-significant for all traits indicated that the performance of genotypes can be predicted on the basis of these traits (Table 4). These results are accordance with the earlier finding of
Singh et al., (2009), Kuchanur et al., (2018) and
Baraki et al., (2020) in mungbean.
On the basis of mean performance over environments, highest seed yield was observed in GM 4 followed by RMG 344, RMG 62, IC 39492, SML 832, Keshwanand Mung 1, MUM 2, IC 39269, IC 102821, IC 102857, MH 2-15, Samrat, IC 103059 and IC 39328 (Table 5). Mungbean is a self-pollinated crop therefore; all above mentioned varieties/genotypes could directly be used for cultivation under irrigated normal soil and water situation of arid zone as well as in future breeding programme to develop superior varieties. Similar findings were earlier reported by
Kuchanur et al., (2018), Baraki et al., (2020) and
Samyuktha et al., (2020) in mungbean.
In current study, genotype IC-39269 exhibited stable performance for number of seeds per pod, biological yield and harvest index in all four environments; whereas, IPM 02-3, MH 2-15 and RMG-344 were found stable for seed yield under favourable environment
i.e.
Kharif season; and genotype IC 103059 for stressed environment
i.e. summer season (Table 6). None of the genotype was found stable for wider adaptability for seed yield; whereas, genotype IC-39269 was found stable for number of seeds per pod, biological yield and harvest index. All these traits were also positively correlated and directly contributed towards seed yield. Therefore, genotype IC-39269 may indirectly be considered as stable genotype for wider adaptability for seed yield also. The genotypes exhibited stable performance under favourable environment
i.e.
Kharif season were Sweta and IC-39492 for days to maturity; RMG-344, IC-39328, GM-4 and MH 2-15 for number of pods per plant; IC-102792, IC-39399, IC-102857, IC-39454 and IC-39409 for biological yield; whereas, variety RMG-344 for days to maturity; SML-668 for number of seed per pod and pod length; IC-39409 for number of seed per pod and 100-seed weight were found stable for stressed environment
i.e. summer season. Seed yield potential obtained under different environments indicate that early sowing in
Kharif i.e. July 6
th was most appropriate sowing time to achieve the highest seed yield of mungbean. The results confirmed the findings of
Raje and Rao (2004),
Nath (2012),
Win et al., (2018), Wankhede and Najan (2019) and
Samyuktha et al., (2020) in mungbean.