Agricultural Science Digest

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Agricultural Science Digest, volume 37 issue 4 (december 2017) : 251-256

Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.)

Karthika Gunasekaran, Rajeswari Sivakami, Robin Sabariappan, Govintharaj Ponnaiah, Vishnu Varthini Nachimuthu, Balaji Aravindhan Pandian
1Center for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.
Cite article:- Gunasekaran Karthika, Sivakami Rajeswari, Sabariappan Robin, Ponnaiah Govintharaj, Nachimuthu Varthini Vishnu, Pandian Aravindhan Balaji (2017). Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.). Agricultural Science Digest. 37(4): 251-256. doi: 10.18805/ag.D-4643.
Nine rice genotypes were evaluated for this present study. Genetic variability parameters, correlation and path coefficient analysis were estimated for eleven agronomic and quality traits. Among all the genotypes, ASD 16 recorded highest significant grain yield per plant. In this present study, the PCV was higher than GCV for all the characters studied.  The grain yield per plant recorded highest GCV, high heritability coupled with high genetic advance which indicates that the trait  were governed by epistasis and dominant gene action. Number of productive tillers per plant and thousand grain weight showed positive significant correlation and direct effects on grain yield per plant.  The purpose of this study is to estimate the amount of variability present in this material, which in turn helps to select these material for further breeding programme to develop high yield hybrids combine with blast and leaf folder resistance. 
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