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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
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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 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
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.2020.9(10): 179-188
DOI: https://doi.org/10.20546/ijcmas.2020.910.023


Studies on Correlation and Path Analysis for Yield and its Contributing Traits in Brinjal (Solanum melongena L.)
V. R. Gurve1*, D. P. Waskar1, V. S. Khandare1, S. P. Mehtre2 and D. G. More2
1Department of Horticulture,
2AICRP on Soybean, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani – 431402, Maharashtra, India

*Corresponding author
Abstract:

A field experiment of twenty genotypes of brinjal had done with an aim to study correlation and association analysis for fruit yield and its yield contributing characters so as to identify genotypes with desirable attributes for the utilization in crop improvement program during kharif 2017-18. Correlation studies revealed that traits like plant height, number of branches per plant, plant spread, number of fruit per plant, days to 50 % flowering, fruit length and fruit diameter had significant association with fruit yield per plant. The result of path coefficient analysis indicated that the traits like number of fruits per plant, number of branches per plant, plant spread (N-S) and days to 50% flowering should be considered essential for developing high yielding genotypes as they had high positive direct effects on fruit yield per plant. Thus, the fruit yield per plant can be improved by making selection of these characters during yield improvement programme.


Keywords: Brinjal, Genotypic correlation, Phenotypic correlation, Path analysis
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How to cite this article:

Gurve, V. R., D. P. Waskar, V. S. Khandare, S. P. Mehtre and More, D. G. 2020. Studies on Correlation and Path Analysis for Yield and its Contributing Traits in Brinjal (Solanum melongena L.).Int.J.Curr.Microbiol.App.Sci. 9(10): 179-188. doi: https://doi.org/10.20546/ijcmas.2020.910.023