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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:11, November, 2019

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.2019.8(11): 2581-2584
DOI: https://doi.org/10.20546/ijcmas.2019.811.298


Quantitative Traits Analysis in Rice (Oryza sativa L.) Genotypes
B. Manjunatha*, B. Niranjanja Kumara, A.M. Maruthesha and H.G. Sannathimmappa
Seed Unit, Agricultural and Horticultural Research Station, Kathalagere, University of Agricultural and Horticultural Sciences, Shivamogga, Karnataka, India
*Corresponding author
Abstract:

The present study consists of sixty four rice genotypes that were evaluated at Agricultural and Horticultural Research station, Ponnampet. Karnataka to study genetic variability, heritability and genetic advance for grain yield and four yield associated traits. The experiment was conducted using 6 × 6 simple lattice design with two replications during the 2014kharif main cropping season. The analysis of variance revealed statistically significant differences (p<0.05) indicating the existence of genetic variability among the 64 genotypes for all the traits studied. Significant differences were observed for grain yield that ranged from 1662.00 to 6414.00 kg/ ha with overall mean value of 4522.00 kg/ha Higher PCV and GCV values were exhibited by yield kg/ha which suggests the possibility of improving this trait through selection. The highest heritability was recorded for panicles per square metre followed by plant height, yield kg/ha and Days to fifty per cent flowering. High to medium heritability coupled with high GCV and high genetic advance as percentage of means were exhibited for plant height, panicles per square metre. High genetic advances as percent of means were recorded by yield kg per hectare, panicles per square metre, Plant height (cm) and days to fifty per cent flowering.


Keywords: Rice, Variability, Correlation

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How to cite this article:

Manjunatha, B., B. Niranjanja kumara, A.M. Maruthesha and Sannathimmappa, H.G. 2019. Quantitative Traits Analysis in Rice (Oryza sativa L.) Genotypes.Int.J.Curr.Microbiol.App.Sci. 8(11): 2581-2584. doi: https://doi.org/10.20546/ijcmas.2019.811.298
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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