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Vol. 10, Issue 10 (2021)

Studies on correlation and path-coefficient analysis for yield and its contributing characters in Cucumber (Cucumis sativus L.)

Author(s):
Manisha, Anil K Singh and AK Pal
Abstract:
Twenty-five cucumber genotypes were evaluated during summer season of 2016 at the Horticultural Research Farm, Department of Horticulture, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi. The objective was to study the correlation and path-coefficient analysis for yield and its contributing characters in Cucumber (Cucumis sativus L.) Node at which first female flower appear showed positive and significant correlation with node at which first male flower appear. Days to first female flower appearance showed positive and significant correlation with node at which first female flower appear and days at 50% female flower. Days at 50% female flower showed positive and significant correlation with days to first female flower appearance and days at 50% male flower. Number of primary branches per plant showed positive correlation with vine length, fruit yield per plant and average fruit weight. Average fruit weight showed positive and significant correlation with fruit length and fruit yield per plant whereas, number of fruits per plant showed positive and significant correlation with fruit diameter and fruit yield per plant. At genotypic and phenotypic path coefficient analysis, high positive direct effect was exerted by average fruit weight, number of fruits per plant, fruit yield per plant followed vine length by towards fruit yield per plant.
Pages: 551-556  |  194 Views  80 Downloads


The Pharma Innovation Journal
How to cite this article:
Manisha, Anil K Singh, AK Pal. Studies on correlation and path-coefficient analysis for yield and its contributing characters in Cucumber (Cucumis sativus L.). Pharma Innovation 2021;10(10):551-556.
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