ArticleScientific reports2026
Multi-traits and stability-based selection of high-yielding mungbean (Vigna radiata L.) genotypes in Benin.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Mungbean [Vigna radiata (L.) R. Wilczek var. radiata] is an important warm season grain legume for sustainable food systems diversification in Africa owing to its nutrient-dense seeds, short life cycle, resilience to marginal conditions and its suitability for integration into crop rotation systems. This study evaluated the performance of 288 mungbean genotypes for yield and yield-related traits under contrasting environments. The experiment was conducted in 2024 using a 12 × 24 alpha lattice design with three replications across three agro-ecological zones in Benin. A total of 13 quantitative traits were analyzed using linear mixed models to estimate genetic parameters, and the Additive Main effects and Multiplicative Interaction (AMMI), Weighted Average Absolute Scores from BLUP (WAASB), and Multi-Trait Genotype Ideotype Distance Index (MGIDI) approaches for selecting superior genotypes. Significant genetic variability and genotype × environment interactions (G × E) were detected for all traits. Adjusted mean grain yield showed wide differences in adaptability among genotypes. Grain yield and related traits exhibited low broad-sense heritability (H
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