ArticleFrontiers in plant science2022
Adaptability and stability for soybean yield by AMMI and GGE models in Ethiopia.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed.
- Yield Stability and Adaptability of Black Soybean Line BSCM41 Support Bi-Directional Seed Rotation System in Northeast Thailand.Plants (Basel, Switzerland) · 2026Article
- Envirotyping-driven strategies to enhance soybean adaptation across Southern Africa.Scientific reports · 2026Article
- Multi-trait selection for drought-tolerant soybean accessions under contrasting water regimes.PloS one · 2026Article
- Improvement of Premium Oil Soybean Variety Heinong 551 with Integrating Conventional Hybridization and Gamma Radiation.Life (Basel, Switzerland) · 2025Article
- Adaptability and Stability of Proso Millet Grain Yield: A Multi-Environment Evaluation Using AMMI, GGE, and GYT Biplots.Plants (Basel, Switzerland) · 2025Article
- Soybean selection in Kenya enhanced by multi-trait and genotype-by-environment interaction modeling.Scientific reports · 2025Article
- Enhancing tomato drought resilience with organic amendments and local landraces.Scientific reports · 2025Article
- Genotype by environment interaction analysis for resistance against powdery mildew and yellow rust in some promising exotic wheats.BMC plant biology · 2025Article
- Changes in the Stress Response and Fitness of Hybrids Between Transgenic Soybean and Wild-Type Plants Under Heat Stress.Plants (Basel, Switzerland) · 2025Article
- Grass pea dual purpose dry matter and seed yields in rainfed conditions across diverse environments.Scientific reports · 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
- Analysis of genotype-by-environment interaction effect in barely genotypes using AMMI and GGE biplot methods.Heliyon · 2024Article
- Assessing the yield and nutrient potential of horse gram mutants (Macrotyloma uniflorum Lam. Verdc.) an underutilized legume through a multi-environment-based experiment.Scientific reports · 2024Article
- Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Heliyon · 2024Article
- Deciphering genotype-by-environment interaction in new soybean lines based on multiple traits using different adaptability and stability methods.Food science & nutrition · 2024Article
- Screening of salt tolerance of maize (PeerJ · 2024Article
- Article
- Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses.Frontiers in plant science · 2023Article
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Abstract
Genotype by environment interaction (GEI) is a phenomenon that occurs in heterogeneous environments that slows breeding progress by preventing the selection of superior cultivars for breeding and commercialization. Therefore, the objectives of this study were to find out how GEI impacts soybean output and to identify the most adapted and stable genotypes. Moreover, to look at the possibility of other mega environments for testing in the future. The experiments were grown for two years in a four-replicated randomized block design at each environment. Over the course of several harvests, yield components, days to flowering, days to maturity, plant height, the number of pods per plants, the number of seeds per plant, hundred seed weight and grain yield per hectare were evaluated in the main for 2018 and 2019.To analyze the stability performance of the genotypes, general linear method, GGE and Additive main effect and multiplicative interaction effects analysis (AMMI) and ASV rank analysis were applied. The GGE biplot revealed that the GGE biplots explained 74.29% of the total variation distributed as,56.69% and 17.62% of sum of squares between principal component PC1 and PC2, respectively whereas, AMMI model, the first two interaction principal component axes (IPCA1 and IPCA2) explained 47.74% and 26.62% of the variation due to GEI, respectively, exposed genotypes identified the five as best performer. The results from the four distinct stability statistics AMMI biplot (G8, G2, G1, G11), ASV (G1, G11; (GSI; G9, G1, G11) and (GGE: G2, G8, G9) are taken into account together with the genotypes` grand mean. The genotypes JM-CLK/CRFD-15-SD (G8) and 5002T (G1), which rank among the best and have the highest seed output, are suitable for hybridization as a parent and commercial production. Therefore, genotypes JM-CLK/CRFD-15-SD (G8) and 5002T(G1) have the highest seed output were among the best and thus could be recommended for release as a new soybean varieties cultivation across.
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