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Vol. 11, Issue 7 (2022)

Genetic variability analysis in soybean genotypes based on yield and yield contributing traits

Author(s):
Jayaluxmi Devi Khumukcham, Krishna Tandekar, Sunil Nag and Rajeev Shrivastava
Abstract:
In the present experiment fifty soybean genotypes including five checks were evaluated for fourteen quantitative characters. Analysis of variance indicated that mean sum of square due to genotypes were found significant for all the traits. The phenotypic coefficient of variation (PCV) was found higher than genotypic coefficient of variation (GCV) indicating the influence of environment in the expression of the traits under study. The high values of PCV and GCV were observed for number of seeds per plant followed by seed yield per plant, biological yield, pod bearing length, number of pods per plant and plant height. Days to maturity exhibited low GCV and PCV. High estimate of heritability coupled with high genetic advance as percent of mean were observed for number of seeds per plant, biological yield, pod bearing length, seed yield per plant, number of pods per plant, plant height and 100 seed weight.
Pages: 3233-3236  |  250 Views  133 Downloads


The Pharma Innovation Journal
How to cite this article:
Jayaluxmi Devi Khumukcham, Krishna Tandekar, Sunil Nag, Rajeev Shrivastava. Genetic variability analysis in soybean genotypes based on yield and yield contributing traits. Pharma Innovation 2022;11(7):3233-3236.

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