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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:11, November, 2017

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.2017.6(11): 183-188
DOI: https://doi.org/10.20546/ijcmas.2017.611.023


Correlation and Path Coefficient Analysis for Yield, Yield Attributing and Nutritional Traits in Rice (Oryza sativa L.)
Ramya Rathod*, D. Sanjeeva Rao, V. Ravindra Babu and M. Bharathi
1Department of genetics and plant breeding, college of agriculture, PJTSAU,Rajendranagar, Hyderabad, India
2Crop Improvement Section, Indian institute of rice research, Rajendranagar, Hyderabad, India
*Corresponding author
Abstract:

The present investigation is carried out to study the correlation and path analysis in fifty six high iron and zinc genotypes of rice (Oryza sativa L.). Character association studies revealed that the characters grain yield per plant showed significant positive association with number of productive tillers per plant, panicle length, number of filled grains per panicle and grain iron concentration. Hence, selection for these traits can improve yield. Path coefficient analysis revealed that the traits 1000-grain weight, numbers of filled grains per panicle, number of productive tillers per plant, grain iron concentration, grain zinc concentration, days to 50% flowering and plant height were directly influencing the grain yield per plant. Hence, these traits were considered as important attributes in formulating selection criterion for achieving desired targets.


Keywords: Rice, Correlation coefficients, Path coefficient analysis.

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How to cite this article:

Ramya Rathod, D. Sanjeeva Rao, V. Ravindra Babu and Bharathi, M. 2017. Correlation and Path Coefficient Analysis for Yield, Yield Attributing and Nutritional Traits in Rice (Oryza sativa L.).Int.J.Curr.Microbiol.App.Sci. 6(11): 183-188. doi: https://doi.org/10.20546/ijcmas.2017.611.023
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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