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Vol. 11, Issue 7 (2022)

Genetic variability and association analysis in Okra [Abelmoschus esculentus (L.) Monech]

Author(s):
Sheetal Choudhary, Dhananjay Sharma, Vijay Kumar and SK Nair
Abstract:
A study of genetic variability and association analysis in 28 okra genotypes for 14 traits was laid out in randomized block design with three replications during kharif 2021. High genotypic coefficient of variation (GCV) and phenotypic cofficient of variation (PCV) were recorded for yield per plant followed by number of fruit per plant and plant height. High heritability estimate was recorded for yield per plant, number of fruit per plant, nodes to first fruit appearance, plant height and crop duration. The characters which showed high genetic advance as per cent of mean was yield per plant. The characters which showed high heritability associated with high genetic advance is yield per plant. Yield per plant is highly significant positive correlation with plant height, number of branches per plant, fruit length, days to first flower, days to first fruit appearance, nodes to first fruit appearance, crop duration, average weight of fruit and number of fruit per plant, significant positive correlation with days to first flower, nodes to first fruit appearance and days to fifty percent flowering. In path cofficient analysis number of fruit per plant expressed a highest positive direct effect on fruit yield per plant followed by crop duration, nodes to first flower appearance, average weight of fruit, number of branches per plant followed by days to first fruit appearance, fruit length, days to first flower and fruit girth. The characters such as number of fruit per plant and yield per plant should be considered, while making selection strategies for improvement of yield in okra.
Pages: 1730-1733  |  323 Views  99 Downloads


The Pharma Innovation Journal
How to cite this article:
Sheetal Choudhary, Dhananjay Sharma, Vijay Kumar, SK Nair. Genetic variability and association analysis in Okra [Abelmoschus esculentus (L.) Monech]. Pharma Innovation 2022;11(7):1730-1733.

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