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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 9, Issue 4 (2020)

To find out association correlation and path coefficient analysis for fruit yield and its component characters in brinjal (Solanum melongena L.)

Author(s):

Sanjay Kumar, Bhupendra Kumar, Manish Kumar and Dhananjay Sharama

Abstract:
A field experiment was conducted at the Horticultural Research cum Instructional Farm, Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.) during the rabi season in the year 2016-17. Path coefficient analysis revealed that average fruit weight, expressed highest positive direct effect on fruit yield per plant followed by yield per hectare, number of fruits per plant, days to 50% flowering, plant height, days to maturity, fruit stalk length. For genetic improvement in brinjal average fruit weight, fruit yield per plant, yield per hectare, number of fruits per plant, days to 50% flowering, plant height, days to maturity, fruit stalk length are important. The association analysis revealed that the fruit yield per plant showed significant positive correlation with number of fruit per plant, yield per hectare at genotypic and phenotypic levels and days to first flowering, average fruit weight at genotypic level only.

Pages: 2044-2048  |  713 Views  251 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
Sanjay Kumar, Bhupendra Kumar, Manish Kumar and Dhananjay Sharama. To find out association correlation and path coefficient analysis for fruit yield and its component characters in brinjal (Solanum melongena L.). J Pharmacogn Phytochem 2020;9(4):2044-2048.

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