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Research Article Open access CC BY 4.0

Character Association and Path Coefficient Analysis Studies for Yield and Yield Related Components in Okra [Abelmoschus esculentus (L.) Moench]

Amit Kumar, Raghvendra Pratap Singh, Tejendra Kumar, Pramod Kumar, Bablesh Kumar

Journal of Experimental Agriculture International · pp. 887–894 · Published 30 May 2024

10.9734/jeai/2024/v46i62541

Abstract

The present investigation entitled “Character association and path coefficient analysis studies for yield and yield related components in okra [Abelmoschus esculentus (L.) Moench]” was carried out during the summer season of 2020-2021 at Horticulture Research Centre, Department of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut. Ninety-five genotypes of okra with twelve traits were evaluated in the present study. The study revealed that the maximum fruit yield per plant had exhibited a highly significant and positive correlation with a number of fruits per plant, number of nodes per plant, number of seeds per fruit, weight of 100 seeds, fruit length, number of primary branches per plant, fruit diameter, and plant height at genotypic and phenotypic levels. Fruit yield per plant was shown to be negatively correlated with internode length.The positive direct effect on fruit yield per plant was exerted by the number of fruits per plant followed by internode length, days to 50 percent flowering, number of seeds per fruit,number of primary branches per plant, number of nodes per plant, fruit diameter, and fruit length at both genotypic and phenotypic levels. Therefore, direct selection of these traits would be beneficial for improvement in okra.

Character association path coefficient analysis Okra direct effect indirect effects

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