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Acharya Narendra Deva University of Agriculture & Technology, Ayodhya

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Subject: Seed Science and Technology × Author: Gupta, Mohit × Start date: 2017 ×
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    ThesisItemOpen Access
    Studies on genetic variability, diversity and stability behaviour of seed yield, its contributing traits and seed quality parameters in Indian mustard {Brassica juncea ( L.) Czern & Coss}
    (ANDUAT, Kumarganj,Ayodhya, 2021-06-14) Gupta, Mohit; Yadav, R.D.S.
    The present investigation entitled “Studies on genetic variability, diversity and stability behaviour of seed yield, its contributing traits and seed quality parameters in Indian mustard { Brassica juncea ( L.) Czern & Coss }” was carried out in randomized block design with three replications during 2018-19 and 2019-20 to study the nature and magnitude of variability, character association, divergence and stability behaviour for twenty two parameters among 65 genotypes. The findings revealed that a wide range of variability observed for these yields and its contributing traits among sixty five genotypes. Based on per se performance, the genotype Varuna produced maximum seed yield followed by Vardan, Kranti, NDR8501 and SIVT17-47. The phenotypic coefficients of variation (PCV) were higher than genotypic coefficient of variation (GCV) for all the characters. High estimates of PCV as well as GCV were observed for 1000-seed weight followed by number of primary branches per plant, number of secondary branches per plant, harvest index, number of total branches per plant, seed yield per plant, number of seed per siliqua, number of siliqua on main raceme per plant, length of main raceme, biological yield per plant, number of siliqua per plant, plant height, days to 50 % flowering and days to maturity. The high heritability accompanied with high genetic advance was observed for number of siliqua per plant, plant height, length of main raceme, number of siliqua on main raceme per plant, harvest index, number of total branches per plant, seed yield per plant, days to 50 % flowering, biological yield per plant, days to maturity, number of secondary branches per plant, 1000-seed weight and number of primary branches per plant. The seed yield had significant positive correlations with harvest index, number of total branches per plant, number of secondary branches per plant, number of primary branches per plant, number of siliqua per seeds, 1000-seed weight, days to maturity, plant height and length of main raceme. At phenotypic level among other traits, days to 50 % flowering exhibited highly significant and positive phenotypic correlation with plant height, days to maturity, biological yield per plant, 1000-seed weight, number of siliqua per plant, number of total branches per plant, number of secondary branches per plant and primary branches per plant. The phenotypic path coefficient identified that seed yield per plant was highly exhibited via harvest index followed by number of total branches per plant, biological yield per plant, days to 50 % flowering, number of siliqua per plant, number of seed per siliqua and exhibited highest negative direct effect was noted with secondary branches per plant followed by primary branches per plant. The genotypic path coefficient seed yield was positive and directly effected by number of total branches per plant followed by harvest index, biological yield per plant, length on main raceme, number of siliqua per plant. Secondary branches per plant exhibited highest negative direct effect on seed yield per plant followed by number of primary branches per plant and days to 50 % flowering. The highest number of genotypes was appered in cluster IV followed by cluster II, cluster VIII, cluster I, cluster VI, cluster VII, cluster IX, cluster III, cluster V, cluster III, and cluster VII. The pooled analysis of variance indicated that highly significant differences were observed among the genotypes for all the traits. Mean squares due to environments were showed highly significant differences for all the parameters. Genotypic x environment interactions were significant for all the parameters except plant height, number of seed per siliqua, 1000-seed weight and seed yield per plant. Environment + (genotype × environment) interactions were highly significant for all the parameters. The mean squares due to environment (linear) were also significant for all parameters.