Vol. 12, Issue 8 (2023)

Author(s):
Karmata RS, Nanavati JI, Pandya MM and Sondarava PM

Abstract:
The current study employed 50 distinct okra genotypes to explore genetic diversity, the intricate relationships among key yield parameters, and their direct and indirect contributions to overall yield. ANOVA analysis unveiled that the mean squares of all attributes linked to genotypes were statistically significant, indicating the presence of genetic variation within the experimental dataset. All 13 traits exhibited Principal Component Values (PCV) surpassing Genetic Coefficient of Variation (GCV) values, underscoring the influential role of environmental factors in shaping these traits. The prevalence of additive gene action was indicated by higher GCV, heritability, and genetic progress as a percentage of the mean for traits such as plant height, internode length, number of nodes per plant, number of branches per plant, fruit production, total soluble sugar, total phenol, and total chlorophyll. Fruit yield displayed a substantial positive correlation with both genotypic and phenotypic levels of plant height and fruit weight, underscoring their interconnectedness. Notably, internode length emerged as the primary driver of fruit yield, followed by fruit weight, number of nodes per plant, phenol content, and number of branches per plant, as revealed by path coefficient analysis. Moreover, a concrete association between fruit yield and fruit weight was established. These noteworthy traits could be of significant consideration in the context of an okra selection program.