Estimation of Genetic Variability, Correlaton for Yield and Yield Compoments in Rice (Oryza sativa L.)

Abstract

The present study consists of 23 rice genotypes including one check variety that were evaluated at Field Experimentation Centre of the Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj (Allahabad), U.P. to study genetic variability, correlation and path coefficient for 13 quantitative characters. The experiment was conducted by using Randomized Block Design with three replications during Kharif -2021. Observation recorded to study the genetic variability parameters, correlation coefficient and path coefficient for yield and its attributing traits. On the basis of mean performance BPT-3291 was found to be superior in grain yield per hill followed by, SIGNET-5455, KSR-140 and RNR-15048 showed higher yield over the check (NDR359). High to moderate estimates of GCV and PCV were recorded for number of spikelets per panicle followed by number of tillers per hill, harvest index, biological yield, grain yield per hill, flag leaf width, test weight and number of panicles per hill. Grain yield indicated significant positive correlation with plant height followed by tillers per hill, panicles per hill, biological yield and harvest index in terms of phenotypic correlation coefficient whereas in terms of genotypic coefficient it showed positive and significant correlation. Path coefficient analysis showed positive significant direct effects on Biological Yield, Harvest Index and Number of Spikelets per Panicle at genotypic level whereas it showed positive and significant direct effect for days to fifty percent flowering, plant height, flag leaf width, number of panicles, test weight, biological yield, and harvest index at phenotypic level. Thus, these traits are identified as the efficient and potential for indirect selection for the improvement of rice productivity in the present experimental materials.