STABILITY ANALYSIS OF RICE GENOTYPES UNDER BORO CONDITION
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Date
2023
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Dr.RPCAU, Pusa
Abstract
The present experiment was carried out at Pusa Rice farm of Dr. RPCAU, Pusa, Bihar during Boro season of 2021-22 and 2022-23 using 30 rice genotypes in Randomized Block Design with two replications and two dates of sowing under four environments. E1 (10th Dec 2021 sowing and transplanting on 05th Feb 2022), E2 (25th Dec 2021 sowing and transplanting on 20th Feb 2022), E3 (10th Dec 2022 sowing and transplanting on 05th Feb 2023) and E4 (25th Dec 2023 sowing and transplanting on 20th Feb 2023) were the combinations of environments.
In ANOVA for all the traits, highly significant variation was obtained due to genotypes sources of variation across four environments. The pooled analysis of variance was also observed to be highly significant for all sources of variation for all the traits. By going through mean performance results we could summarize that E3 and E4 environments were found as better for majority of traits studied compared to other environments. G7, G15, G12 and G22 were good performer for almost all the traits in more than one environment (E1, E3 and E4). It became evident by analysis of
sixteen traits across four environments that genotypes which performed better as compared to Gautam € were supposed to be promising one for cold tolerance. These are as follows: G21 was found superior for Length of root at seedling stage, Sterility percentage, Test weight, SPAD value, Proline content and Grain yield (g/plant) whereas G27 and G6 were stable genotypes for Length of shoot at seedling stage, Shoot/root ratio, Filled grains, Days to 50% flowering, Days to maturity, Spikelets per panicle and Relative water content. The ANOVA for stability analysis was highly significant for genotypes (G) for all the traits. Environments €, [E+ (GxE)] and non- linear components were highly significant for majority of traits. On consideration of different stability parameters G27, G21 and G14 seemed to record predictable performance with non-significant S2 di and greater (bi>1) value for majority of traits i.e genotypes were responsive and could be recommended for specific or favourable environments whereas G16, G25 and G7 showed predictable performance with non- significant S2 di and less (bi<1) value for most of the traits i.e it can be suitable for poor or unfavourable environmental conditions. GGE biplot graphical representation inferred that single mega environment existed for Sterility percentage, Filled grains, Plant height (cm), Length of root at seedling stage and Grain yield whereas two mega environments present in case of Length of shoot at seedling stage, Shoot/root ratio, Germination percentage, Sterility percentage, Test weight, Proline content, and Relative water content. However, three mega environments were seen in case of Unfilled grains and SPAD Value. From GGE biplot G and E view suggested that G12, G27 and G22 were ideal genotypes. E1, E2 and E3 environments were most discriminating for selecting rice genotype adapted for the region. These stable genotypes could be utilised in future as parents for crop improvement program for developing cold tolerant rice genotypes at seedling stage and heat tolerant at flowering stage