Estimation of correlation and path coefficient analysis in selected okra genotypes

DOI: 10.22161/ijeab.112.2

Abstract:
The experiment was undertaken to study the association among yield and its contributing traits and to assess their direct and indirect effects on fruit yield in okra. Thirty okra genotypes were evaluated in a randomized block design with three replications at the Vegetable Research Farm, CCS Haryana Agricultural University, Hisar, Haryana, India during kharif 2021. Genotypic correlation coefficients were generally higher than phenotypic correlation coefficients. Fruit yield/plant exhibited significant positive correlation with plant height (0.63, 0.43), number of branches per plant (0.66, 0.33), petiole length (0.56, 0.42), fruit length (0.75, 0.43) and fruit diameter (0.34, 0.20) at genotypic and phenotypic levels, respectively, while it showed significant negative correlation with days to 50% flowering (-0.82, -0.60), inter-nodal length (-0.67, -0.49) and first fruiting node (-0.63, -0.47). Path coefficient analysis revealed that fruit length exerted the highest positive direct effect on fruit yield per plant (0.76), followed by number of branches per plant (0.25) and number of fruits per plant (0.19). Plant height exhibited positive indirect effects via days to 50% flowering and first fruiting node. The study indicated that fruit length, number of branches per plant and number of fruits per plant are key traits for improving fruit yield in okra and should be emphasized in selection programmes.

Keywords:
Okra, genotypic correlation coefficient, phenotypic correlation coefficients, path analysis, direct effect, indirect effect

Article Info:
Received: 21 Jan 2026; Received in revised form: 23 Feb 2026; Accepted: 28 Feb 2026; Available online: 08 Mar 2026

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