ArticleHeliyon2024
Genotype x environment interaction and yield stability of soybean (Glycine max l.) genotypes in multi-environment trials (METs) in Nigeria.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 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
- Global Genetic Gain and Changes for Seed Yield, Agronomic, and Compositional Attributes in Soybean (Plants (Basel, Switzerland) · 2026Review
- Soybean Rust Resistance and Yield Performance of Elite Soybean Genotypes Across Diverse Environments in Uganda.Plant-environment interactions (Hoboken, N.J.) · 2026Article
- Article
- Multi-environment evaluation identifies high-yielding and stable winged bean (Frontiers in plant science · 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
- Yield Stability of Soybean Variety Morkhor 60 in Integrated Rotation Systems of Northeastern Thailand.Plants (Basel, Switzerland) · 2025Article
- Soybean selection in Kenya enhanced by multi-trait and genotype-by-environment interaction modeling.Scientific reports · 2025Article
- Article
- Optimizing soybean variety selection for the Pan-African Trial network using factor analytic models and envirotyping.Frontiers in plant science · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genotype × environment interaction (GEI) poses a critical challenge to plant breeders by complicating the identification of stable variety (ies) for performance across diverse environments. GGE biplot and AMMI analyses have been identified as the most effective and appropriate statistical techniques for identifying stable and high-performing genotypes across diverse environments. The objective of this study was to identify widely adapted and high-yielding soybean genotypes from Multi-Locational Trials (MLTs) using GGE and AMMI biplot analyses. Fifteen IITA-bred elite soybean lines and three standard checks were evaluated for stability of performance in a 3 × 6 alpha lattice design with three replications across seven locations in Nigeria. Significant (p < 0.001) differences were detected among genotypes, environments, and GEI for grain yield, which ranged between 979.8 kg ha
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.