Variability, correlation and path coefficient analysis in okra (Abelmoschus esculentus L. Moench.).

摘要

Variability, correlation and path analysis were carried out using different quantitative characters for 17 okra genotypes during kharif season of 2007. The estimates of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were found to be higher for plant height and number of branches per plant. The characters viz., plant height, number of branches per plant, number of nodes per plant, internodal length, number of fruits per plant, number of seeds per fruit, harvest index and total yield per plant exhibited high heritability coupled with high genetic advance over mean (GAM). Fruit yield for plant was positively and significantly correlated with plant height, number of nodes per plant, number of fruits per plant and harvest index. Path coefficient analysis revealed that number of fruits per plant had highest direct influence towards fruit yield per plant followed by number of seeds per fruit, average fruit weight, harvest index and number of nodes per plant. Hence, these important traits may be viewed in selection program for the further improvement of okra.