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Correlation and Path Analysis for Yield and Quality Characters in Rice ( Oryza sativa L.) | Dhurai | Rice Genomics and Genetics

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Correlation and Path Analysis for Yield and Quality Characters in Rice (Oryza sativa L.)  

S.Y. Dhurai , D. Mohan  Reddy , S.  Ravi
Department of Genetics and Plant Breeding, S.V. Agricultural College (ANGRAU), Tirupati-517502, India
Author    Correspondence author
Rice Genomics and Genetics, 2016, Vol. 7, No. 4   doi: 10.5376/rgg.2016.07.0004
Received: 15 Feb., 2016    Accepted: 25 Mar., 2016    Published: 24 Apr., 2016
© 2016 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Dhurai S.Y., Reddy D.M., and Ravi S., 2016, Correlation and path analysis for yield and quality characters in rice (Oryza sativa L.), Rice Genomics and Genetics, 7(4): 1-6 (doi: 10.5376/rgg.2016.07.0004)

Abstract

Field experiment was conducted using thirty two rice genotypes during the Kharif season of 2009 at the wetland farm of S.V Agricultural College, Tirupati to estimate correlation coefficients and path analysis for grain yield and yield contributing traits in rice. The experiments were laid down in a randomized complete block design with three replications. Highly significant (p<0.01) variation was obtained for almost all the characters studied. Character association analysis revealed significantly positive association of grain yield per plant with harvest index, days to maturity and number of grains per panicle. Correlations among yield components were positive, encouraging rapid improvement of yield. Path analysis revealed that kernel elongation ratio, kernel length, harvest index and days to maturity have shown high positive direct effects on grain yield.

Keywords
Correlation; Path analysis; Yield; Quality traits; Rice
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