Path Analysis and Trait Correlation for Yield and Growth Parameters in Okra [Abelmoschus esculentus (L.) Moench]

Understanding genetic relationships among yield-influencing traits is essential for optimizing okra breeding. This study, conducted at the Faculty of Agriculture, Al Zaeim Al Azhari University (Sudan), evaluated 21 F₁ hybrids and ten parental lines of okra [Abelmoschus esculentus (L) Moench] using correlation and path coefficient analyses. Significant genetic variability was observed in traits such as plant height, number of fruits per plant, and seed yield components. Genotypic correlations were generally higher than phenotypic ones, indicating strong genetic control. Traits including number of fruits per plant, fruit fresh and dry weight, number of seeds per fruit, and 100-seed weight positively correlated with yield. Path analysis revealed that fruit length and dry weight had the highest positive direct effects on yield, while the number of seeds per fruit and fruits per plant contributed indirectly. Yield per plant showed high heritability (0.59) and genetic advance (30.39%), supporting effective selection.