Journal ID : AMA-02-03-2022-11177
[This article belongs to Volume - 53, Issue - 03]
Total View : 379

Title : Correlation coefficient and path analysis studies in okra (Abelmoschus esculentus L. monech)

Abstract :

The current study used twenty-five okra genotypes to evaluate the genetic variability, heritability, and genetic advance as a percentage of the mean. During rabi 2020-21, all twenty-five genotypes were evaluated in a randomized block design with three replications. For all the features, analysis of variance revealed a significant level of variability across the genotypes, indicating a broad range of variability across the genotypes. Number of fruits per plant has recorded the highest GCV and PCV followed by number of nodes per plant. This suggested that the environment had the least impact on the manifestation of these features. High heritability coupled with high genetic advance as per cent of mean were observed for number of fruits per plant, plant height, fruit length, number of ridges per fruit, 100 seed weight, number of nodes per plant, number of branches per plant, average fruit weight, fruit yield, fruit diameter, number of locules per fruit, days to 50% flowering, peduncle length, stem diameter at final fruit harvest, days to first fruit harvest. While in correlation studies number of nodes per plant followed by number of branches per plant, fruit diameter, number of ridges per fruits, average fruit weight, 100 seed weight has shown positive and high significant association with fruit yield per plant. Elsewhere fruit length has negative and highly significance. Path analysis revealed that positive direct effect on fruit yield per plant per plant was observed by number of nodes per plant, number of branches per plant, fruit diameter, number of ridges per fruit, number of fruits per plant, average fruit weight, 100 seed weight. Whereas fruit length followed by days to 50% flowering, peduncle length, days to first fruit harvesting, stem diameter at final harvest, fruit length has shown the negative direct effect on the fruit yield per plant. As a result, these traits should be prioritised in the selection of high-yielding okra genotypes.

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