ASSOCIATION AND PATH COEFFICIENT ANALYSIS FOR NUTRITIONAL QUALITY, GRAIN YIELD AND ITS ATTRIBUTING TRAITS IN TRADITIONAL LAND RACES OF RICE

T.N. SATHISHA¹*, B.A. VEERESHA², P.M. SALIMATH³, N.G. HANAMARATTI⁴, C.H. NAGARAJU⁵, S.A. DESAI⁶, K.J. YASHWANTH KUMAR⁷, V. RAVINDRA BABU^8
1Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, 580005, Karnataka, India
²Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, 580005, Karnataka, India
³Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, 580005, Karnataka, India
⁴Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, 580005, Karnataka, India
⁵Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, 580005, Karnataka, India
⁶Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, 580005, Karnataka, India
⁷ Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, 580005, Karnataka, India
⁸Crop Improvement Division, Directorate of Rice Research, Rajendranagar, Hyderabad, India
* Corresponding Author : tnsathish64@gmail.com

Received : 10-06-2015     Accepted : 27-11-2015     Published : 14-12-2015
Volume : 7     Issue : 13       Pages : 841 - 847
Int J Agr Sci 7.13 (2015):841-847

Keywords : Rice, Quality traits, Correlation and path analysis, Grain yield
Academic Editor : Ammayappan L., Agrawal Anuradha, Prasad Ravindra, Sinha Sweta, Hariprasanna K.
Conflict of Interest : None declared
Acknowledgements/Funding : We thank Dr. Ravindra Babu, Scientist, Directorate of rice Research, Hyderabad for providing facility for iron and zinc estimation. We thank Dr. Shilaja Hittalmani for protein content estimation at the MAS Lab, UAS Bangalore
Author Contribution : None declared

An insight into the correlation coefficient and path analysis study was made with 130 traditional landraces of rice for quality and yield attributing traits. From the results it was observed that, highly significant and positive genotypic and phenotypic correlations for grain yield kg/ha with days to 50% flowering, days to maturity, plant height, panicle length, number of panicles per meter row, panicle weight, number of grains per panicle, test weight and L/B ratio. On the other hand, significant and negative correlation was observed for grain yield with iron content at both genotypic and phenotypic levels. The phenotypic and genotypic path-coefficient analysis indicated highest positive direct effect on grain yield per ha was contributed by number of productive panicle per plant followed by panicle weight, L/B ratio and plant height, days to 50 % flowering, grain iron, grain protein, grain zinc concentration had negative direct effect of on grain yield (kg/ha). Test weight, number of grains per panicle, panicle length, had positive direct effect on grain yield per ha at phenotypic level, whereas same traits viz., test weight, number of grains per panicle, panicle length had negative direct effect of on grain yield (kg/ha) at genotypic level.