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Author: Dhuria, Neha × End date: 2016 × Start date: 2010 × Type: Thesis × Thesis Type: Ph.D ×
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    ThesisItemOpen Access
    Genetic study and identification of stable kabuli chickpea lines under heat stress conditions
    (JNKVV, 2016) Dhuria, Neha; Babbar, Anita
    ABSTRACT The present investigation entitled Genetic Study and Identification of Stable Kabuli Chickpea Lines under Heat Stress Conditions was carried out during Rabi 2013-14 and 2014-15 in Seed Breeding Farm, College of Agriculture, Jabalpur (M.P.). Keeping with this view the aforesaid problems and prospect, the present investigation had been planned to evaluate the 68 kabuli chickpea (Cicer areitinum L.) genotypes (including 3 checks i.e., JGK1, JGK2 and KAK2) in normal planting for two years in Experiment I (E I, 2013-14), (EII, 2014-15) and Pooled data. In Experiment–II, evaluate and isolate the superior kabuli genotypes in different environments by manipulating different planting dates i.e., normal planting (EI), late planting (EII), very late planting (EIII) and Pooled data during 2014-15. Experiments were laid out in Randomized Completely Block Design with three replications and standard statistical analysis was employed to generate data for different analysis. Observations were recorded on five random competitive plants selected from each plot separately on 16 quantitative traits as per standard procedure. The genetic parameters, correlation coefficient, path analysis, divergence analysis, principal component analysis were calculated for yield and its component characters in Exp-I and Exp-II. Characterization and molecular analysis for Exp-I and stability analysis, heat stress parameters (Heat susceptibility index and Heat tolerance efficiency), nutritional and cooking quality parameters for Exp-II were worked out to evaluate and isolate the promising genotypes for heat stress. High magnitude of PCV and GCV were reported for height of first fruiting node and number of seeds per plant, number of effective pods per plant and seed yield per plant in different planting dates revealed that the maximum amount of variability present for these traits. Thus the above characters were given due importance. High heritability along with high genetic advance as % of mean were noted for the traits viz; height of first fruiting node and number of seeds per plant number of effective pods per plant, seed yield per seed yield per plant, number of effective pods per plant, number of seeds per plant, total number of pods per plant under all the planting dates, indicates, contribution of additive genetic variation and attention should be required at the time of selection. Seed yield per plant were highly significant and positively correlated with total number of pods per plant, number of effective pods per plant, number of seeds per plant, biological yield per plant and harvest index, in all environments. It shows improvement in one trait by selection of the other pair will also improve the yield. Path analysis revealed that days to flower initiation harvest index, biological yield had the highest positive direct effect on seed yield per plant in most of the environments indicated main yield contributing traits, so it could be given more emphasis Days to flower initiation, plant height, height of first fruiting node, 100 seeds weight were most contributing traits towards genetic divergence These characters were responsible for expressing of maximum diversity between clusters. Thus; selection for these characters would be effective. Principal component analysis highlights genotype PKV 4, Flip 07-236C, Phule G 0517 (for yield attributing traits), ICCV 13303, PG 95311, IPCK 09-79, IPCK 2004-29 (for 100 seeds weight) and NBeG 402 for both yield and 100 seeds weight (large seed size trait) found promising in normal planting. However, genotype Kripa, Flip 07-236C, FLIP-01-29C, ICCV13307 (for yield attributing traits), genotypes CSJK 4, NBeG 402, Flip 07-259C, Phule G 0625-6, JGK 1, IPCK 09-79, JGK 27, ICCV13315, IPCK 2002-29, ICCV13303 scored prime importance for 100 seeds weight in different planting condition. Out of 29 SSR molecular markers 18 were polymorphic and 11 were monomorphic over all 68 genotypes. Promising genotypes viz CSJK 46, Phule G 0517, ICCV 13310, ICCV 13312, FLIP-07-236C, FLIP-07-283C, FLIP-07-286C, JGK 1, JGK 25 and JGK 26 found stable for most of the characters. Hence, these genotypes may be grown under wide range of environments particularly in tolerance to terminal heat. On the basis of heat tolerance parameters genotypes CSJK 46, Phule G 0517, Phule G 0625-9, ICCV 13312, ICCV 13317, Kripa, JGK 1 and KAK 2 were the most suitable for heat stress condition. Genotypes viz., ICCV13312, ICCV13314, JGK 26, JGK 27, JGK12, JGK14, JGK 23, JGK1, JGK2, JGK3 and KAK 2 were identified on the basis of high seed yield in all the planting dates. High protein content genotypes Phule G 0517, Flip07-236C (normal planting) and GNG 2228 (very late planting). Highest carbohydrate contents were found in ICCV 13301, IPCK 2010-92 (normal planting) and IPCK 2010-92 (very late planting). Similarly, Genotype NBeG 402 had highest fat content in normal and very late planting conditions Large seed size genotypes viz., ICCV 13311, KRIPA, ICCV 13313, ICCV 13302, JGK18 found better in cooking quality traits.