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Vol. 11, Issue 12 (2022)

Character association and path coefficient analysis for seed yield and its contributing traits in soybean (Glycine max (L.) Merrill)

Author(s):
Dnyaneshwar Ganesh Kale, Dr. Gaibrial M Lal, Jayshri Kautikrao Dawane and Bhagyashri Kautikrao Dawane
Abstract:
The present investigation consists of 40 Soybean genotypes used for studying genetic variability parameters, correlation and path analysis which was carried out at Field Experiment Centre, Department of Genetics and Plant Breeding during Kharif 2019 in Randomized Block Design with three replications. The data were recorded for 12 quantitative characters to study genetic variability, heritability, genetic advance, correlation and path analysis. Analysis of variance revealed highly significant differences among the genotypes for all the quantitative characters under study. Highest magnitudes coupled with a greater correspondence of the values of GCV with PCV for seed yield per plant. Seed yield per plant had significant positive association with days to 50% flowering, plant height, number of primary branches, nodes per plant, clusters per plant, pods per plant, pod length, 100 seed weight, biological yield and harvest index at genotypic and phenotypic level, whereas the seeds per pod showed positive significant correlation with seed yield at genotypic level only. Path analysis revealed that harvest index had highest magnitude of positive Significant direct effects on seed yield per plant. High estimates of heritability coupled with high genetic advance as per cent of mean were recorded for characters like 100-seed weight, plant height, nodes per plant, seed yield per plant, pods per plant, primary branches per plant, clusters per plant, biological yield per plant, days to 50% flowering, pod length and harvest index.
Pages: 692-697  |  227 Views  130 Downloads


The Pharma Innovation Journal
How to cite this article:
Dnyaneshwar Ganesh Kale, Dr. Gaibrial M Lal, Jayshri Kautikrao Dawane, Bhagyashri Kautikrao Dawane. Character association and path coefficient analysis for seed yield and its contributing traits in soybean (Glycine max (L.) Merrill). Pharma Innovation 2022;11(12):692-697.

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