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Genotype – genotype × environment (GGE) biplot analysis of winged bean for grain yield Cover

Genotype – genotype × environment (GGE) biplot analysis of winged bean for grain yield

Open Access
|May 2023

Abstract

The winged bean is an underutilized legume that is adapted to the tropics. It has good prospects as a significant multi-purpose food crop including human nutrition, cattle feed, and environmental protection. However, little research attention has been given to the crop to address the identified constraints, especially low yield in Nigeria. To improve its yield potential, GGE biplot analysis was used to identify high-yielding and stable winged bean genotypes, previously collected from the continent of Asia, and Nigeria for yield improvement. Twenty winged bean genotypes were being evaluated under the rainfed condition at three locations (Ibadan, Ile-Ife, and Kishi) for two years, comprising six environments. The obtained results showed that the seed yield (SY) ranged from 805.61 kg.ha−1 (Ibadan) to 1,096.35 kg.ha−1 (Kishi), with SY of 988.42 kg.ha−1 across the locations. The winged bean reached its first flowering, 50% flowering, 50% podding, and 70% physiological maturity in 74, 80, 93, and 137 days after being planted, respectively across the locations. The GGE biplot analysis showed that the principal component (PC) axes captured 71.5% of the total variation, where PC1 and PC2 were responsible for 36.6% and 34.9%, respectively. Genotype, environment, and their interaction had a significant effect on SY. Environments IB20 and IF20 were adjudged the most ideal environments to discriminate between the genotypes. Genotype Tpt-12 was identified as high-yielding and stable. Tpt-12 would be recommended for commercial farming in southwestern Nigeria. The selected high-yielding winged bean genotypes are hereby recommended as promising parental lines for the grain yield improvement in the winged bean improvement programs.

DOI: https://doi.org/10.2478/ahr-2023-0009 | Journal eISSN: 1338-5259 | Journal ISSN: 1335-2563
Language: English
Page range: 53 - 63
Submitted on: Aug 25, 2022
Accepted on: Mar 22, 2023
Published on: May 23, 2023
Published by: Slovak University of Agriculture in Nitra
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2023 Solomon Tayo Akinyosoye, Opeyemi Adeola Agbeleye, Johnson Adedayo Adetumbi, Paul Chiedozie Ukachukwu, Oluwafemi Daniel Amusa, published by Slovak University of Agriculture in Nitra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.