Vol. 7, Issue 6 (2019)
Genetic variability, correlation and path analysis for quantitative traits in rainfed upland rice (Oryza sativa L.)
Author(s): Deepak Katkani, SK Payasi, Vinod Patel and Shweta Tiwari
Abstract: An experiment was carried out during Kharif 2018 to estimate the genetic parameters of variation, correlation and direct and indirect effects of yield components on grain yield in rice. The experimental material consists of 32 genotypes. Genotypes were planted in Randomized Block Design with three replications. The analysis of variance revealed that highly significant differences among the genotypes for all the characters. It indicated the presence of sufficient amount of genetic variability in the studied material for all the traits. High values of GCV and PCV was observed for grain yield per plant. High heritability coupled with high genetic advance as percentage of mean were recorded for grain yield per plant, number of grains per panicle, harvest index, test weight, biological yield per plant, plant height, flag leaf angle and number of tillers per plant. These characters showed substantial contribution of genotypic variance for their phenotypic expression. They can be further improved by direct selection for these characters. Based on correlation studies, grain yield per plant depicted significant positive correlation with harvest index, biological yield per plant and panicle length. Path coefficient analysis revealed that, eight characters had high direct positive effect on grain yield per plant like, harvest index, biological yield per plant, days to 50% flowering, number of productive tillers per plant, flag leaf angle, test weight, number of grains per panicle and panicle length. It showed that these characters may be included in selection criteria to enhance the grain yield in rice. During formulating of selection criteria in rice improvement programme following characters like, Harvest index, biological yield per plant, and panicle length should be included.
Pages: 2354-2358 | 239 Views 81 Downloads
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How to cite this article:
Deepak Katkani, SK Payasi, Vinod Patel, Shweta Tiwari. Genetic variability, correlation and path analysis for quantitative traits in rainfed upland rice (Oryza sativa L.). Int J Chem Stud 2019;7(6):2354-2358.
