International Journal of Chemical Studies
Vol. 6, Issue 2 (2018)
Genetic variability, correlation and path analysis for grain yield and component traits in f3 segregating population of rice (Oryza sativa L.)
Author(s): HR Patel, VP Patel, PB Patel, AJ Rathod and AG Pampaniya
Abstract: The present study comprised of F3 segregating progenies of two cross of one traditional landraces (Lalkada) and two high yielding varieties (IR-28 and Jaya) viz., Cross I (IR-28 x Lalkada) and Cross II (Jaya x Lalkada) of rice were evaluated to assess the genetic variability, heritability and genetic advance, correlation and direct and indirect effects among yield and yield components. The progenies were evaluated during Summer-2016. The results corresponding to analysis of variance showed significant progeny mean square values for all the traits for all the F3 progenies studied. The progenies of the both crosses had higher values of GCV and PCV for grain yield per plant and straw yield per plant indicating that there is great scope for improvement by applying selection on these traits in desirable direction. The progenies of both the crosses had high heritability coupled with high genetic advance as percent mean for grain yield per plant and straw yield per plant was observed. The correlation studies revealed that in both crosses panicle length, straw yield per plant and harvest index showed significant positive correlation with grain yield per plant. Path analysis revealed that straw yield per plant and harvest index had high positive direct effect on grain yield per plant.
Pages: 2327-2331 | 380 Views 26 Downloads
How to cite this article:
HR Patel, VP Patel, PB Patel, AJ Rathod, AG Pampaniya. Genetic variability, correlation and path analysis for grain yield and component traits in f3 segregating population of rice (Oryza sativa L.). Int J Chem Stud 2018;6(2):2327-2331.