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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(7): 1096-1101
DOI: https://doi.org/10.20546/ijcmas.2017.607.132


Correlation and Path Coefficient Studies in Okra [Abelmoschus esculentus (L.) Moench]
Neeraj Singh*, Dhirendra Kumar Singh, Pooja Pandey, Ankit Panchbhaiya and Monisha Rawat
Department of Vegetable Science, College of Agriculture, GBPAU&T, Pantnagar, Uttarakhand – 263145, India
*Corresponding author
Abstract:

The present study was undertaken on one eighty genotypes of okra to determine the nature of association among different yield attributes and their direct and indirect contribution towards yield. The fruit yield has significantly positive correlation with number of fruits per plant, plant height, average fruit weight, number of seeds per fruit, fruit length, first flower producing node, first fruit producing node, 50 percent flowering and stem diameter respectively, indicating mutual association of these traits. Path coefficient analysis revealed that fruit width (1.431) had maximum direct contribution towards fruit yield followed by number of fruits per plant (0.834), first fruit producing node (0.221) and average fruit weight (0.145). However, 100 seed weight exhibited highest negative direct effect (-1.732) followed by first flower producing node (-0.222), 50 per cent flowering (-0.097) and intermodal length (-0.062) plant height at 45 days after sowing (-0.065) and days to first flowering (-0.040). These important traits may be viewed in selection programme for the further improvement of okra.


Keywords: Correlation, Path analysis, Genotypes, Yield attributes and Okra.
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How to cite this article:

Neeraj Singh, Dhirendra Kumar Singh, Pooja Pandey, Ankit Panchbhaiya and Monisha Rawat. 2017. Correlation and Path Coefficient Studies in okra [Abelmoschus esculentus (L.) Moench].Int.J.Curr.Microbiol.App.Sci. 6(7): 1096-1101. doi: https://doi.org/10.20546/ijcmas.2017.607.132