Assessment of selection criteria in Sesamum by using correlation and path coefficient analysis
Author(s):
Sangamesh Nevani, Jayashree MK and Jayarame Gowda
Abstract:
To investigate yield and quality traits in germplasms of Sesamum, in order to study the nature of relationship between the characters and to know the direct and indirect effect of independebnt characters on dependent characters this study was done. The experiment was laid out during kharif 2015 in 10 ×10 simple lattice design with two replications. The analysis of variance revealed highly significant differences among the genotypes in respect of all the traits thereby indicating presence of wide genetic diversity. Association of seed yield per plant was highly significant and positive at both genotypic level and phenotypic level with plant height, branches per plant and leaves per plant. Path analysis revealed that greatest direct effect and individual factor contribution to seed yield was made by number of plant height followed by capsules per plant. The highest indirect effect to seed yield was made by branches per plant, leaves per plant and 1000 seed weight. From this study it was observed that plant height and capsules per plant made the most contribution to seed yield and should therefore be used as a selection index for Sesamum improvement.
How to cite this article:
Sangamesh Nevani, Jayashree MK, Jayarame Gowda. Assessment of selection criteria in Sesamum by using correlation and path coefficient analysis. Pharma Innovation 2022;11(2):3011-3016.