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2019 - 201912020 - 20231
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Subject: Genetics and Plant Breeding × Author: Kaur, Jeevanjot ×
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    ThesisItemOpen Access
    Genetic analysis of hybrid fertility and yield contributing traits in indica, japonica and wide compatibility genotypes of rice (Oryza sativa L.)
    (CSK HPKV, Palampur, 2023-01-26) Kaur, Jeevanjot; Bhardwaj, Neelam
    The present investigation entitled “Genetic analysis of hybrid fertility and yield contributing traits in indica, japonica and wide compatibility genotypes of rice (Oryza sativa L.)” was undertaken to get the information on nature and magnitude of gene action, combining ability and heterosis and thereby indentifying potential parents and cross combinations for yield, cold tolerance and disease restistance that could support further improvements of rice productivity using indica japonica hybrids. Eight parents viz; SKUA 500, SKUA 538, SKUA 536-2, HPR 3106, HPR 2143, Bhrigudhan, Naggardhan and Varundhan were crossed following Griffing’s method 2, model I in a half diallel fashion. Experimental material comprising of eight rice parents and twenty-eight hybrids were evaluated in RBD with three replications during kharif 2021 and 2022 at Rice and Wheat Research Centre, Malan and for the cold tolerance in rabi 2020-21at the experimental farm of the Department of Vegetable Science and Floriculture, CSK HPKV, Palampur. Under cold conditions spikelet fertility was observed in the order of japonica x japonica lines > japonica x wide compatible lines > indica x japonica lines > indica x wide compatible lines > indica x indica lines.The analysis of variance revealed significant differences among the genotypes for all the traits studied in all the environments, suggesting prevalence of wide range of genetic variability. Genotype x Environment (G × E) interaction was significant for most of the traits except days to 75% maturity, plant height, flag leaf length, flag leaf width, spikelet fertility, length:breadth ratio and amylose content indicating a definite role of environment on the performance of genotypes. SCA variances were higher than the GCA Variances and average degree of dominance was more than unity, thus showing preponderance of non-additive gene action for all the traits except amylose content. Based on GCA effects, SKUA 500, HPR 2143 and HPR 3106 were the most promising general combiners for grain yield/plant and most of the yield components. On the basis of SCA effect and heterosis, the cross combinations SKUA 500 x Naggardhan, SKUA 536-2 x HPR 2143, HPR 2143 x Bhrigudhan, SKUA 536-2 x Naggardhan and HPR 2143 x Varundhan were found best in pooled environment. Positive correlation of grains/panicle, grain length, and harvest index with grain yield/plant in parents and hybrids along with positive direct effect in path analysis revealed importance of these traits for selection of high yielding genotypes.
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    ThesisItemOpen Access
    GENETIC ANALYSIS FOR SEED YIELD AND RELATED TRAITS IN CHICKPEA (CICER ARIETINUM L.) UNDER ORGANIC AND CHEMICAL INPUT CONDITIONS
    (CSKHPKV, Palampur, 2019-06) Kaur, Jeevanjot; Bhardwaj, Neelam
    The present investigation entitled “Genetic analysis for seed yield and related traits in chickpea (Cicer arietinum L.) under organic and chemical input conditions” was undertaken during rabi 2017 to assess the nature and magnitude of genetic variability and associations among various traits including their direct and indirect effects on seed yield and to identify potential genotypes under organic and chemical input conditions. Analysis of variance revealed significant genetic differences among chickpea genotypes for all the traits under organic and chemical input conditions except pod width and pod length under organic input conditions and nitrogen fixation under both the conditions. In general, mean and range for most of the traits were found to be higher under organic input conditions as compared to chemical input conditions. High PCV, GCV, heritability and genetic advance were observed for nodule number, nodule fresh weight, nodule dry weight and seed yield per plant under both the conditions. Under organic input conditions seed yield per plant was significantly positively correlated with secondary branches, pods per plant, nodule number, nodule fresh weight, nodule dry weight, harvest index and biological yield per plant whereas under chemical input conditions seed yield per plant was significantly positively correlated with primary branches per plant, secondary branches per plant, pods per plant, 100-seed weight, harvest index and biological yield per plant. Under organic input conditions high direct effect was found for secondary branches per plant, harvest index, nodule dry weight, nodule number, seeds per pod, biological yield per plant and pods per plant whereas under chemical input conditions high direct effect was found for secondary branches per plant, pods per plant, 100-seed weight and primary branches per plant implying that these traits can act as selection indices for seed yield. On the basis of mean performance, best genotypes for seed yield common under both the conditions are 18-II, 113-P, P-30-6 and DKG-964.