GENETIC ANALYSIS AND TRAITS ASSOCIATION IN F2:3 POPULATION OF RICE UNDER ZINC DEFICIENT CONDITION

SANDHYA¹, MUKUL², PRASHANT BISEN³, LOITONGBAM BAPSILA⁴, P.K. SINGH⁵*
¹Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P., India
²Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P., India
³Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P., India
⁴Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P., India
⁵Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P., India
* Corresponding Author : pksbhu@gmail.com

Received : 14-11-2017     Accepted : 21-11-2017     Published : 28-12-2017
Volume : 9     Issue : 12       Pages : 322 - 324
Genetics 9.12 (2017):322-324

Keywords : Variability, Correlation, Heritability, Rice (Oryza sativa L.), Zinc
Academic Editor : Dr Mahesh Rao
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to International Rice Research Institute, Philippines for providing the research material, and Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P., India for needful support
Author Contribution : All author contributed equally

Genetic variability assessment gives basic information concerning the genetic properties of the population based on which breeding methods could be formulated for further improvement of the crop. The estimates of heritability, coefficients of variability and genetic advance were computed in 276 F2:3 lines of a cross Kinandang Patong× A69-1 for 12characters including zinc deficiency tolerance and yield contributing traits under zinc-deficient condition during kharif season 2016. The highest genotypic coefficient of variation (GCV) was found for leaf bronzing score. High heritability with high genetic advance was obtained in filled grains per panicle, grain yield per plant and plant height which is indicative of additive gene action. The correlation analysis revealed that the grain yield per plant had a highly positive significant association with all traits except seedling survival and leaf bronzing score. High heritability coupled with high and moderate genetic advance was observed for all the traits observed. However, grain yield per plant was negatively significantly correlated with unfilled grains per panicle. This implies that selection for these characters would lead to simultaneous improvement of grain yield.

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