Vol. 7, Issue 4 (2019)
Estimation of correlation coefficient and path coefficient analysis for yield and yield components in okra [Abelmoschus esculentus (L.) Moench]
Author(s): Jeetendra Chavan, N Seenivasan, P Saidaiah and N Sivaraj
Abstract: The present investigation was undertaken to estimate the correlation and path coefficient analysis for yield and its components in okra [Abelmoschus esculentus (L.) Moench]. Twenty six genotypes were sown in a randomized block design with three replications during kharif, 2018 in PG research block at College of Horticulture, Rajendranagar, Hyderabad. Fruit yield per plant (g) revealed positive and significant correlation association with plant height, internodal length, fruit length, fruit weight, number of fruits per plant, fruit yield per plot, fruit yield per hectare and crude fibre content. Path analysis studies revealed that the magnitude of direct effect were higher for plant height, number of branches per plant, internodal length, days to first harvest, average fruit weight, number of fruits per plant, number of nodes per plant, total phenolic content and total chlorophyll content on fruit yield per plant.
Pages: 1254-1260 | 336 Views 64 Downloads
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How to cite this article:
Jeetendra Chavan, N Seenivasan, P Saidaiah, N Sivaraj. Estimation of correlation coefficient and path coefficient analysis for yield and yield components in okra [Abelmoschus esculentus (L.) Moench]. Int J Chem Stud 2019;7(4):1254-1260.
