Browsing by Author "NILANJAYA"
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ThesisItem Open Access STABILITY ANALYSIS OF FODDER COWPEA (Vigna unguiculata) GENOTYPES FOR TOLERANCE TO DROUGHT(Dr.RPCAU, Pusa, 2021) BANIK, MAHAMAYA; NILANJAYACowpea crop has the immense potential to be used as an important fodder crop in future due to its adaptation capacity which makes it possible to grow in sandy, infertile soils and rainfall deficit areas. Fodder cowpea enhances intake and utilization of poor quality roughages which improves livestock productivity and production. Cowpea has more adaptability to stress conditions than other crops. Hence, it is necessary to study about genotype, environment and genotype by environment interaction under irrigated and drought environment. In this context, the present investigation with title ‘‘Stability analysis of fodder cowpea (Vigna unguiculata) genotypes for tolerance to drought’’ was carried out at Pusa farm of Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar during kharif season of 2019 and 2020. The study was conducted with thirty fodder cowpea genotype under six environment and three replications in Randomized Block Design (RBD) with a spacing 45 x 10 cm. The environment combinations were E1 (Date of sowing 15th July 2019 in irrigated open field condition), E2 (Date of sowing 26th July 2019 in irrigated open field condition), E3 (Date of sowing 15th July 2019 in rain out shelter for drought condition), E4 (Date of sowing 15th July 2020 in irrigated open field condition), E5 (Date of sowing 26th July 2020 in irrigated open field condition) and E6 (Date of sowing 15th July 2020 in rain out shelter for drought condition). Drought condition was created after 15 days of sowing by with holing irrigation. It is evident from ANOVA that for majority of traits highly significant variation was obtained due to genotypes sources of variation across six environments except for days to maturity in E4 and E5; and for relative content in E1, E2, and E4 was found as non-significant. In ANOVA, significant G x E interaction obtained on pooled basis for all traits and genotypes interacted significantly with date of sowing and growing condition under rain-out shelter as well as in open field condition. The stability analysis revealed few stable genotypes ( > , bi=1, NS S2di) with fair stability and wider adaptation for some important traits which are G29 (FD-2258) for plant height, dry matter%, dry matter yield, green fodder yield; G3 (EC 390268) for leaf to stem ratio, seed yield per plant, harvest index%, production efficiency; G13 (EC 390252) for leaf length and leaf width. On the basis of stability and drought tolerance superior fodder cowpea genotypes were executed for important fodder yield and seed yield contributing trait and these are G29 (FD-2258) for plant height, green fodder yield, dry matter%, dry matter yield and biological yield per plant and G3 (EC 390268) for seed yield per plant, biological yield per plant; proline content and leaf to stem ratio. These stable genotypes can be used in future fodder crop improvement program to meet the fodder demand and also to increase quality fodder production at cheaper cost which is crucial to improve farmers’ income.ThesisItem Open Access STABILITY ANALYSIS OF RICE GENOTYPES UNDER BORO CONDITION(Dr.RPCAU, Pusa, 2023) CHHAYA, RUCHIKA; NILANJAYAThe 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