ArticleBMC plant biology2023
Graphical analysis of multi-environmental trials for wheat grain yield based on GGE-biplot analysis under diverse sowing dates.
Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Genotype-by-environment interaction informs selection for seed physiological quality and stink bug tolerance in soybean under pest management contrasts.Pest management science · 2026Article
- Integration of graphical and diallel analyses for identifying elite bread wheat genotypes for grain yield and its yield-related traits.Journal of applied genetics · 2026Article
- Exploring the adaptive response of root xylem vessel traits and yield resilience of wheat (Triticum aestivum L.).BMC plant biology · 2026Article
- 110 years of rice breeding at LSU: realized genetic gains and future optimization.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 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
- G × E Interaction and stability analysis to identify resistant mungbean (Vigna radiata L.) genotypes against Boeremia leaf spot using AMMI and GGE biplot analysis.BMC plant biology · 2025Article
- Supervised machine learning and genotype by trait biplot as promising approaches for selection of phytochemically enrichedHeliyon · 2025Article
- Assessing the role of genotype by environment interaction of winter wheat cultivars using envirotyping techniques in North China.Frontiers in plant science · 2025Article
- Comprehensive evaluation and screening of drought resistance in maize at germination and seedling stages.Frontiers in plant science · 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
- Cultivating sustainable futures: multi-environment evaluation and seed yield stability of faba bean (Vicia faba L.) genotypes by using different stability parameters in Ethiopia.BMC plant biology · 2024Article
- GGE biplot analysis for genotype × environment interactions affecting the seed shattering ofHeliyon · 2024Article
- Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Heliyon · 2024Article
- Exploitation of the Genetic Variability of Diverse Metric Traits of Durum Wheat (Plants (Basel, Switzerland) · 2024Article
- Screening of salt tolerance of maize (PeerJ · 2024Article
- Article
- Responses of phenology, yield attributes, and yield of wheat varieties under different sowing times in Indo-Gangetic Plains.Frontiers in plant science · 2023Article
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3 authors.
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Abstract
backgroundInformation on the nature and extent of genetic and genotype × environment (GE) interaction is extremely rare in wheat varieties under different sowing dates. In the present study, the GGE biplot method was conducted to investigate genotype × environment interaction effects and evaluate the adaptability and yield stability of 13 wheat varieties across eight sowing dates, in order to facilitate comparison among varieties and sowing dates and identify suitable varieties for the future breeding studies.
resultsConsiderable genotypic variation was observed among genotypes for all of the evaluated traits, demonstrating that selection for these traits would be successful. Low broad sense heritability obtained for grain yield showed that, both genetic and non-genetic gene actions played a role in the control of this trait, and suggested that indirect selection based on its components which had high heritability and high correlation with yield, would be more effective to improve grain yield in this germplasm. Hence, selection based on an index may be more useful for improvement of this trait in recurrent selection programs. The results of the stability analysis showed that the environmental effect was a major source of variation, which captured 72.21% of total variation, whereas G and GE explained 6.94% and 18.33%, respectively. The partitioning of GGE through GGE biplot analysis showed that, the first two PCs accounted for 54.64% and 35.15% of the GGE sum of squares respectively, capturing a total of 89.79% variation. According to the GGE biplot, among the studied varieties, the performance of Gascogen was the least stable, whereas Sirvan, Roshan, and Pishtaz had superior performance under all sowing dates, suggesting that they have a broad adaptation to the diverse sowing dates. These varieties may be recommended for genetic improvement of wheat with a high degree of adaptation.
conclusionThe results obtained in this study demonstrated the efficiency of the GGE biplot technique for selecting high yielding and stable varieties across sowing dates.
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