Assessment of genetic variability in okra (Abelmoschus esculentus L.) genotypes

This study evaluated the associations among yield and related traits in okra using correlation and path coefficient analysis on twenty genotypes. Genotypic and phenotypic correlation coefficients were estimated for eleven traits, and path analysis was performed to partition correlations into direct and indirect effects on fruit yield. Fruit yield per plant showed strong positive correlations with number of fruits per plant, fruit weight, and plant height, whereas days to 50% flowering and days to first picking were negatively correlated with yield. Path analysis revealed that number of fruits per plant exhibited the highest positive direct effect on yield, followed by fruit weight. Traits like plant height had moderate direct effects, while traits such as days to first picking and fruit length had low or negative direct effects on yield. Early-flowering genotypes tended to yield more via indirect effects. These results suggest that selection for more fruits per plant, heavier fruits, and taller plant stature can substantially improve okra yield, whereas earliness contributes to yield mainly through its influence on other yield components. Breeding programs should prioritize these key traits to develop high-yielding okra cultivars.