Genetic Variability Studies for Yield and Yield Related Attributes in Rice (Oryza sativa L.) Genotypes
Babburi Dinesh *
Department of Genetics and Plant Breeding, Naini Agricultural Research Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, India.
Gaibriyal M. Lal
Department of Genetics and Plant Breeding, Naini Agricultural Research Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, India.
L. Bhanuprasad
Department of Genetics and Plant Breeding, Naini Agricultural Research Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
A set of twenty four rice genotypes including one check variety were grown to estimate study genetic variability, heritability, genetic advance, correlation and path coefficient for 13 quantitative characters, observation recorded to study the genetic variability parameters, correlation coefficient and path coefficient for yield and its attributing traits. High to moderate estimates of GCV and PCV were recorded for test weight followed by spikelets per panicle, grain yield per plant, flag leaf width, flag leaf length, tillers per hill, biological yield and 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 with plant height, tillers per hill, panicles per hill, biological yield and harvest index. Path coefficient analysis showed positive significant direct effects on grain yield per hill were exhibited by plant height, tillers per hill and harvest index at genotypic level whereas it showed positive and significant direct effect for tillers per hill, flag leaf width, 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.
Keywords: Correlation, GCV, heritability, path analysis, PCV, rice and variability