GENETIC VARIABILITY AND ASSOCIATION ANALYSIS OF RICE LINE DERIVED FROM BIPARENTAL PROGENY

PALLAVI SUSHREE¹, BAPSILA LOITONGBAM², PRASHANT BISEN³, DEEPIKA SINGH⁴, SANDHYA⁵, P.K. SINGH⁶*
¹Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh
²Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh
³Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh
⁴Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh
⁵Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh
⁶Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh
* Corresponding Author : pksbhu@gmail.com

Received : 25-11-2017     Accepted : 04-12-2017     Published : 28-12-2017
Volume : 9     Issue : 11       Pages : 318 - 321
Genetics 9.11 (2017):318-321

Keywords : Variability, Correlation, Heritability, Path coefficients, Rice (Oryza sativa L).
Academic Editor : Suleyman Cylek, Pal S.
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are sincerely thankful to Dr. P. K. Singh, Professor, Department of Genetics and plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi for undertaking this study
Author Contribution : All author equally contributed

The sixty nine advanced rice lines were evaluated for heritability, genetic advance in per cent of mean, character associations and path coefficients. The highest genotypic coefficient of variation (GCV) was found for filled grain per panicle. High heritability with high genetic advance was obtained in filled grains per panicle, grain yield per plant and spikelet fertility percentage which is indicative of additive gene action. The correlation analysis revealed that the grain yield per plant had highly significant association with the effective number of tiller per plant and spikelet fertility. Days to 50 per cent flowering recorded significant correlation with days to maturity at both genotypic and phenotypic level. This implies that selection for these characters would lead to simultaneous improvement of grain yield. The effective tillers per plant, spikelet fertility percentage and filled grain per panicle had the positive direct effect and significant contribution to the grain yield while the grain per panicle had recorded negligible contribution via direct effect to grain yield but high correlation via indirect effect on spikelet fertility percentage. These results showed the positive and significant increase in grain yield whenever there was an increase in these characters. Hence, all the said characters could be considered as main criteria for selection for higher yield as these were mutually and directly associated with grain yield.

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