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Vol. 11, Issue 2 (2022)

Studies on genetic variability in segregating generations for yield and its component traits in blackgram (Vigna mungo (L.) Hepper)

Author(s):
Pratibha Yadav, RK Mittal, VK Sood, R Sood and S Sharma
Abstract:
The present investigation was carried out at the Experimental Farm, Department of Genetics and Plant Breeding, College of Agriculture, CSK HPKV, Palampur (H.P.) during Kharif 2019 and 2020 to assess the genetic variability, heritability and genetic advance among 26 genotypes [18 crosses and 8 parents] in F3 generation and 80 genotypes [18 crosses with 4 progenies each and 8 parents] in F4 generation for 11 yield and yield contributing traits in blackgram. The experiment was laid out in Randomized Block Design with three replications. Analysis of variance (ANOVA) revealed significant differences among the genotypes for all the traits in both the generations. The estimates of phenotypic coefficient of variation (PCV) were found to be higher than their corresponding genotypic coefficient of variation (GCV) for all the characters studied in both the generations. The magnitudes of PCV and GCV were recorded high for seed yield per plant (g) in both the generations. Heritability (h2bs) was high for the traits viz. plant height, biological yield and seed yield per plant in both the generations. High heritability coupled with high genetic advance was noted for plant height, biological yield per plant and seed yield per plant in both generations indicating the preponderance of additive gene action and the selection would be more effective for their improvement.
Pages: 1672-1675  |  403 Views  132 Downloads


The Pharma Innovation Journal
How to cite this article:
Pratibha Yadav, RK Mittal, VK Sood, R Sood, S Sharma. Studies on genetic variability in segregating generations for yield and its component traits in blackgram (Vigna mungo (L.) Hepper). Pharma Innovation 2022;11(2):1672-1675.

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