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Vol. 11, Issue 11 (2022)

Estimation of genetic variability in segregating populations of soybean (Glycine max L. Merrill)

Author(s):
Madhuri Singh, SK Nag and RK Yadav
Abstract:
Genetic variation were estimated in three crosses viz., RSC11-42 × PS1475, CG Soya11-15 × MACS5171 and CG Soya11-15 × PS1475. Additive gene effects were important for plant height, number of pods per plant, pod bearing length, number of seeds per pod, 100 seed weight, oil content and seed yield per plant in all crosses. All these traits indicates that emphasis should be given to these traits for seed improvement in soybean. High heritability with high genetic advance as percentage of mean further confirm it. Non-additive with appreciable additive gene effects were predominant for days to 50% flowering, days to maturity and protein content. It is suggested that better utilization of fixable and non-fixable genetic variances, biparental intermating can be followed in these segregating populations.
Pages: 213-217  |  255 Views  118 Downloads


The Pharma Innovation Journal
How to cite this article:
Madhuri Singh, SK Nag, RK Yadav. Estimation of genetic variability in segregating populations of soybean (Glycine max L. Merrill). Pharma Innovation 2022;11(11):213-217.

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