Vol. 8, Issue 6 (2020)
Correlation and path coefficient analysis of quantitative characters in okra [Abelmoschus esculentus (L.) Moench.]
Author(s): Vinay Verma and Shalini Singh
Abstract: Fifty genotypes of okra were evaluated in a randomized block design with three replications during kharif 2016-17 at Horticulture Research Centre, SVPUAT, Modipuram, Meerut to study the correlation and path analysis for its yield and contributing traits. The difference between genotypic and phenotypic correlation coefficient indicates the influence of environmental effects. The highest significant positive correlation were observed between number of fruits per plant and yield per plant (r =0.660**). Significantly positive correlations were also observed for number of branches per plant and length of first fruiting node (r = 205*) plant height and number of first fruiting node (r = 198*), number of branches per plant and number of fruits per plant (r = 190*) these relations were also found to be significant in genotypic level. Plant height and length of internode, length of internode and length of fruit, length of first fruiting node and width of fruit and length of fruit and width of fruit were also found significant in genotypic level. The path coefficient analysis was done to determine direct and indirect effects of traits on fruit yield. Direct positive effect on fruit yield per plant was observed by number of fruits per plant, followed by number of branches per plant, plant height, length of internode and number of first fruiting node.
DOI: 10.22271/chemi.2020.v8.i6c.10771
Pages: 206-208 | 581 Views 76 Downloads
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How to cite this article:
Vinay Verma, Shalini Singh. Correlation and path coefficient analysis of quantitative characters in okra [Abelmoschus esculentus (L.) Moench.]. Int J Chem Stud 2020;8(6):206-208. DOI: 10.22271/chemi.2020.v8.i6c.10771
