Assessment of genetic variability, correlation and path analysis in sesame (Sesamum indicum L.)

A total of 33 sesame genotypes including three checks were grown in Randomized Block Design replications for evaluation yield and attributing traits. Data was recorded different traits from all the viz., days to 50 % flowering, number productive branches, plant height, height 1st capsule bearing node, capsules per plant, seeds capsule, length, inter-node maturity, 1000-grain weight, cent oil yield. Analysis variance revealed significant differences among characters. The magnitude phenotypic coefficient variation (PCV) genotypic (GCV) larger seed yield, branch length. Genetic advance as mean numbers node ground internode length higher genotypes. Correlation exhibited high positive maturity with Path analysis indicated that such had direct effect on These are be given due importance selection process breeding programme. Keywords: PCV, GCV, Sesame, Advance, Correlation,