Article Dans Une Revue Journal of Experimental Agriculture International Année : 2025

Genetic Variability, Heritability, Correlation and Path Analysis of Quantitative Traits in Indian Mustard (Brassica juncea L.)

Résumé

The present study assesses the genetic variability, correlation coefficient, heritability and path analysis for quantitative traits in Indian mustard (Brassica juncea L.). High heritability coupled with high genetic advance was found for seed yield per plot, seed yield per plant, number of siliqua per plant, and test weight, suggesting due importance of these traits for selection in a breeding program. The phenotypic correlation studies revealed that seed yield per plant exhibited a significant positive correlation with plant height, number of primary branches per plant, number of secondary branches per plant, number of siliqua per plant, siliqua length, seeds per siliqua and test weight. The experiment was conducted to derive information on genetic variability, heritability and genetic advance gain in twelve genotypes of mustard (Brassica juncea L.) during rabi season of 2023-2024 at the field experimentation centre (Pilikothi) of the department of Genetics and Plant Breeding, Tilak Dhari Post Graduate College Jaunpur Uttar Pradesh, India. All the genotypes were grown in a Randomized Block Design with 3 replications during Winter season. Plant to Plant and Row to Row distance is maintained at 15 cm. and 30 cm. respectively. The data were statistically analyzed for computation of genetic coefficient of variation using appropriate statistical analysis. ANOVA was carried out as per the procedure given. The phenotypic and genotypic coefficient of variance was estimated (Burton & de Vane, 1953) and heritability in broad sense was estimated as per formula given. The expected genetic advance was calculated by using formula as suggested. In the experiment, analysis of variance showed significant differences among the genotypes for all the characters indicating the existence of a wide spectrum of variability among the genotypes. The phenotypic coefficient of variation (PCV) was higher than the corresponding genotypic coefficient of variation (GCV). The highest estimates (>20%) phenotypic coefficient of variability (29.89%) and genotypic coefficient of variability (29.776%) were recorded for number of secondary branches per plant followed by number of siliquae per plant. The lowest estimates (<5%) PCV (4.178%) and GCV (3.177%) were observed for days of 50% flowering. Grain yield per plant (g), length of main raceme (cm), number of primary branches per plant, number of seeds per siliquae, and 1000-seed weight showed high estimates (<20->10) of PCV and GCV. Days to maturity, plant height (cm), showed a moderate estimate (<10->5%) of phenotypic and genotypic coefficient of variability. Days to 50% flowering showed lower values of phenotypic (PCV) and genotypic coefficients of variability. The higher estimates of heritability in broad sense(>75%) were recorded for number of siliquae per plant followed by plant height (cm), number of secondary branches per plant, 1000-seed weight (g), number of primary branches per plant, length of main raceme, days to maturity, seed yield per plant and number of seed per siliquae characters (in percentage) 91.45, 99.25, 96.10, 91.57, 91.09, 98.54, 71.00 and 88.23 respectively. Comparatively low estimate of heritability (<75) observed for days to 50% flowering (57.83). Seed yield per plant showed high estimates(>20%) of genetic advance in % of mean (27.43%) followed by number of primary branches per plant (28.23%), length of main raceme (24.48%), number of siliquae per plant(47.15), number of seeds per siliquae (22.761),1000-seeds weight (30.06) and moderate estimates (<20->5%) were days to maturity (16.83%), plant height (15.55) and days to 50% (4.977%) showed low estimates (<5%) of (GA) genetic advance. The characteristics such as the number of secondary branches, number of siliquae per plant, seed yield per plant, 1000-seed weight, number of primary branches, length of main raceme, number of seeds per siliquae showed high GCV, heritability and genetic advance. Therefore, from the above obtained results it can be concluded that the characters studied are governed by additive gene effect. Hence, adoption for selection of elite genotype based on attributing characters.

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Dates et versions

hal-05085974 , version 1 (27-05-2025)

Identifiants

Citer

Krishna Kumar Gupta, Manoj Kumar Singh, Sri Man Singh, Amod Kumar Raghuvanshi. Genetic Variability, Heritability, Correlation and Path Analysis of Quantitative Traits in Indian Mustard (Brassica juncea L.). Journal of Experimental Agriculture International, 2025, 47 (6), pp.27-33. ⟨10.9734/jeai/2025/v47i63467⟩. ⟨hal-05085974⟩
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