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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 2018 - IJCMAS--ICV 2018: 95.39 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 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.2018.7(6): 2292-2296
DOI: https://doi.org/10.20546/ijcmas.2018.706.274


Correlation and Path Coefficient Analysis for Yield Contributing Characters in Rice (Oryza sativa L.) Cultivars
Neethu-Francis*, D. Packiaraj, S. Geethanjali and K. Hemaprabha
Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University,Coimbatore-641003, Tamil Nadu, India
*Corresponding author
Abstract:

The study was conducted among the thirty two rice varieties of the Breeders Seed Production chain of Tamil Nadu during Kharif 2016-17. Days to 50 per cent flowering, plant height, leaf length, number of panicles per plant, panicle length, number of grains per panicle, 1000 grain weight, time to maturity and single plant yield showed significant difference between varieties. Correlation study showed significant positive correlation on single plant yield by leaf length, leaf width, number of panicles per plant, number of grains per panicle, 1000 grain weight and time to maturity. Path analysis for direct and indirect effects on yield revealed significant high direct effects for number of panicles per plant, number of grains per panicle, 1000 grain weight, days to 50 percent flowering and time to maturity. Number of grains per panicle via number of panicles per plant showed significant high association on single plant yield.


Keywords: Rice, Yield, Variability, Correlation, Path analysis
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How to cite this article:

Neethu-Francis, D. Packiaraj, S. Geethanjali and Hemaprabha, K. 2018. Correlation and Path Coefficient Analysis for Yield Contributing Characters in Rice (Oryza sativa L.) Cultivars.Int.J.Curr.Microbiol.App.Sci. 7(6): 2292-2296. doi: https://doi.org/10.20546/ijcmas.2018.706.274