Abstract
Okra, a versatile vegetable known as lady's finger or gumbo, is highly prized for its tender, flavorful pods, particularly in tropical and subtropical climates worldwide. Improving okra yield poses challenges due to complex genotype-environment (G×E) interactions. The success of enhancing okra is hindered by these interactions and necessitates thorough investigation. In this study, multivariate selection strategies like AMMI, GGE biplots and MTSI were employed to visually represent the relationships between genotypes and tested environments, aiding in the identification of okra genotypes with consistent and high yields. The study evaluated 24 okra hybrids and 10 parents for 13 traits in multi-environment trials. Notably, hybrids H23 (NOL 17–09 × Kashi Kranti) and H10 (AOL-16–04 × Arka Abhay) stood out for their promising performance, demonstrating elevated and adaptable fruit yields, along with traits highly favored by farmers. MTSI analysis confirmed substantial and desirable selection gains across all traits for these selected genotypes.
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