ArticleFrontiers in plant science2023
Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- 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
- Assessment of stability and yield performance of onion (Allium cepa L.) genotypes across diverse Indian environments.Scientific reports · 2025Article
- Adaptability and Stability of Proso Millet Grain Yield: A Multi-Environment Evaluation Using AMMI, GGE, and GYT Biplots.Plants (Basel, Switzerland) · 2025Article
- Identifying Adaptable Varieties of Sorghum (F1000Research · 2025Article
- Analysis of combining ability and stability of yield characteristics of upland cotton in two years.PeerJ · 2025Article
- MOSSNet: multiscale and oriented sorghum spike detection and counting in UAV images.Frontiers in plant science · 2025Article
- Stability and adaptability assessment of red onion genotypes using AMMI, GGE, BLUP, and multivariate indices.Frontiers in plant science · 2025Article
- GGE biplot analysis for genotype × environment interactions affecting the seed shattering ofHeliyon · 2024Article
- Analysis of genotype-by-environment interaction effect in barely genotypes using AMMI and GGE biplot methods.Heliyon · 2024Article
- Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Heliyon · 2024Article
- Stability and adaptability of grain yield in quinoa genotypes in four locations of Iran.Frontiers in plant science · 2024Article
- Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Grain sorghum is an exceptional source of dietary nutrition with outstanding economic values. Breeding of grain sorghum can be slowed down by the occurrence of genotype × environment interactions (GEI) causing biased estimation of yield performance in multi-environments and therefore complicates direct phenotypic selection of superior genotypes. Multi-environment trials by randomized complete block design with three replications were performed on 13 newly developed grain sorghum varieties at seven test locations across China for two years. Additive main effects and multiplicative interaction (AMMI) and genotype + genotype × environment (GGE) biplot models were adopted to uncover GEI patterns and effectively identify high-yielding genotypes with stable performance across environments. Yield (YLD), plant height (PH), days to maturity (DTM), thousand seed weight (TSW), and panicle length (PL) were measured. Statistical analysis showed that target traits were influenced by significant GEI effects (
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