Yield performance and stability analysis of okra (Abelmoschus esculentus L. Moench) accessions using AMMI and GGE biplots

Abstract

The identification of adaptable, stable and high yielding genotypes under varying environmental conditions prior to release poses a lot of challenge to plant breeders in selecting the best genotypes of okra. The genotype × environment interaction is a major challenge to plant breeders because a large interaction can reduce selection gain and make the identification of superior cultivars difficult. The objectives of this study were to evaluate the performance of okra accessions in different environments and identify a high yielding and stable accession so as to select a parent for further breeding work. Seventeen accessions of okra were evaluated at Akure during the rainy season of 2018, at Akure and Oye during the rainy season of 2019; and at Akure during the rainy season of 2020, making a total of four environments. The additive main effects and multiplicative interaction and GGE-biplots were employed for the evaluation of the G×E interaction and stability studies in the four environments. The AMMI analysis identified NGB00378a as the most stable accession and high yielder. Also, GGE biplot identified NGB00378a as highly stable and the high yielder while NGB00355 was the highest yielder, but fairly stable. However, NGB00378a combines good performance with stability. Therefore, NGB00378a is an ideal accession that should be recommended for further breeding work.

Keywords

• environment
• genotype
• interaction
• performance
• stability