ArticleScientific reports2021
AMMI and GGE biplot analysis for yield performance and stability assessment of selected Bambara groundnut (Vigna subterranea L. Verdc.) genotypes under the multi-environmental trails (METs).
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers.
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40 citing papers in PubMed.
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- Comprehensive evaluation of capsicum genotype-environment interactions utilizing AMMI and GGE biplot models across staggered transplanting environments.Scientific reports · 2026Article
- Development of a new powdery mildew and Cercospora leaf spot-resistant mungbean cultivar using marker-assisted backcross breeding.Journal, genetic engineering & biotechnology · 2026Article
- Genotype-by-environment interactions and seed yield stability of narrow-leaf lupin sweet varieties (Lupinus angustifolius L.) based on AMMI and GGE biplot analyses.Scientific reports · 2026Article
- Breeding climate-resilient wheat for Nepalese agricultural system under diverse abiotic stresses using an integrated AMMI, GGE and stress tolerance indices.Scientific reports · 2026Article
- Multi-environment evaluation identifies high-yielding and stable winged bean (Frontiers in plant science · 2026Article
- Harnessing genotype-by-environment interaction and stability analysis of taro (Colocasia esculenta (L.) Schott) genotypes for resilient breeding and food security in Southwest Ethiopia.BMC plant biology · 2025Article
- Conversion of elite bread wheat cultivars HD3086 and HD2932 into cytoplasmic male sterile (CMS) lines and their genetic assessment to develop CMS-based hybrids.BMC plant biology · 2025Article
- AMMI and GGE biplot analysis for seed yield and stability performance of selected buckwheat genotypes under multi-environmental trials.Scientific reports · 2025Article
- Enhancing tomato drought resilience with organic amendments and local landraces.Scientific reports · 2025Article
- Delineating genotype × environment interaction for horticultural traits in tomato using GGE and AMMI biplot analysis.Scientific reports · 2025Article
- Genotype × environment interactions for potato yield and quality traits: Identification of ideotypes adapted in different ecological regions of Northwest China.BMC plant biology · 2025Article
- Mungbean G × E interaction unveiling resistance to Cercospora leaf spot through GGE biplot analysis.Scientific reports · 2025Article
- GGE biplot analysis for cane yield and sugar yield in advanced clones of sugarcane (Saccharum sp. complex).Journal of applied genetics · 2025Article
- Regional environmental impacts on growth traits and phytochemical profiles of Glycyrrhiza glabra L. for enhanced medicinal and industrial use.BMC plant biology · 2025Article
- Genotype-environment interaction for grain yield in maize (Zea mays L.) using the additive main effects and multiplicative interaction (AMMI) model.Journal of applied genetics · 2024Article
- Article
- Evaluation of yield and stability of sugar beet (beta vulgaris L.) genotypes using GGE biplot and AMMI analysis.Scientific reports · 2024Article
- Article
- Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Heliyon · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
The stability and high yielding of Vigna subterranea L. Verdc. genotype is an important factor for long-term development and food security. The effects of G × E interaction on yield stability in 30 Bambara groundnut genotypes in four different Malaysian environments were investigated in this research. The experiment used a randomized complete block design with three replications in each environment. Over multiple harvests, yield component traits such as the total number of pods per plant, fresh pods weight (g), hundred seeds weight (g), and yield per hectare were evaluated in the main and off-season in 2020 and 2021. Stability tests for multivariate stability parameters were performed based on analyses of variance. For all the traits, the pooled analysis of variance revealed highly significant (p < 0.01) variations between genotypes, locations, seasons, and genotypes by environment (G × E interaction). A two-dimensional GGE biplot was generated using the first two principal components (axis 1 and axis 2), which accounted for 94.97% and 3.11% difference in GEI for yield per hectare, respectively. Season and location were found to be the most significant causes of yield heterogeneity, accounting for 31.13% and 14.02% of overall G + E + G × E variation, respectively, according to the combined study of variance. The GGE biplot revealed that the three winning genotypes G1, G3, and G5 appear across environments whereas AMMI model exposed genotypes viz G18, G14, G7, G3, G1, and G5 as best performer. Based on ideal genotype ranking genotype G1 was the best performer, with a high mean yield and high stability in the tested environment. According to the AEC line, genotypes G1 and G3 were extremely stable, while genotypes G2 and G4 were low stable, with a high average yielding per hectare. A GGE and AMMI biplot graphically showed the interrelationships between the tested environment and genotypes, classified genotypes into three categories as well as simplifying visual evaluations, according to this investigation. According to our results, breeding could improve yield production, and the genotypes discovered could be recommended for commercial cultivation.
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