GENETIC VARIABILITY, CORRELATION AND PATH COEFFICIENT STUDIED FOR GRAIN YIELD AND OTHER YIELD ATTRIBUTING TRAITS IN RICE (Oryza sativa L.)

NAMITA PAL¹*, G.K. KOUTU², AKANKSHA TIWARI^3
1Department of Plant Breeding & Genetics, Jawaharlal Nehru Agricultural University, Krishinagar, Adhartal, Jabalpur, 482004, Madhya Pradesh
²Department of Plant Breeding & Genetics, Jawaharlal Nehru Agricultural University, Krishinagar, Adhartal, Jabalpur, 482004, Madhya Pradesh
³Department of Plant Breeding & Genetics, Jawaharlal Nehru Agricultural University, Krishinagar, Adhartal, Jabalpur, 482004, Madhya Pradesh
* Corresponding Author : namita2787@gmail.com

Received : 19-10-2016     Accepted : 02-11-2016     Published : 12-11-2016
Volume : 8     Issue : 55       Pages : 2988 - 2992
Int J Agr Sci 8.55 (2016):2988-2992

Keywords : Variability, Heritability, Genetic Advance, Correlation Coefficient and Path Coefficient Analysis
Academic Editor : Dr R L Raut
Conflict of Interest : None declared
Acknowledgements/Funding : This work was conducted under the Rice Improvement Project, acknowledges the support and encouragement from Department of Plant Breeding and Genetics, Jawahalal Nehru Krishi Vishwa Vidyalaya, jabalpur (M.P.) India for providing an opportunity to work on this project, and thanks to the staff of department for help in literature search.
Author Contribution : None declared

The experiment was conducted with 110 genotypes of rice during Kharif 2012 in Randomized Block Design. The data were recorded for 19 quantitative characters and 5 qualitative character to study genetic variability, broad sense heritability, genetic advance, correlation coefficient and path coefficient. On the basis of mean performance highest grain yield per plant reported in Sugandha 3,followed by R 704, SPS 71, R 371, JR 201 and NR 3304.Analysis of variance revealed significant difference among 110 rice genotypes for all characters indicating the existence of variability. High GCV and PCV were observed for grain yield per plant and biological yield per plant. The values of PCV for all the traits were found to be more than GCV and close relationship between GCV and PCV also observed in the traits, revealing very little influence of environment for their expression. High heritability coupled with high genetic advance as percent mean for maximum of the character except days fifty percent to flowering, days to maturity, panicle lenght, spikelet fertility percentage and hulling percentage. correlation and path analysis, it may be concluded that panicles weight per plant, biological yield per plant, culm length, spikelet density, panicle index, panicle length, grain length, flag leaf width, 1000 grain weight, number of tillers per plant and hulling % seems to be primary yield contributing characters and could be relied upon for selection for improve genetic yield potential of rice.