ArticleScientific reports2024
Exploring the genotype-environment interaction of bread wheat in ambient and high-temperature planting conditions: a rigorous investigation.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Foliar Application of TiOPlants (Basel, Switzerland) · 2026Article
- Exploring the adaptive response of root xylem vessel traits and yield resilience of wheat (Triticum aestivum L.).BMC plant biology · 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
- Article
- 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
- Integrating phenotypic, molecular, and bioinformatics approaches for developing drought-tolerant sesame.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
- Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Heliyon · 2024Article
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5 authors.
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Abstract
The current study is carried out to find out the stable wheat genotype in ambient and high temperature planting conditions. The objective was to estimate the genotype x environment interactions through various univariates and multivariate techniques. Twenty wheat genotypes were evaluated at Jabalpur, Narmadapuram, and Sagar districts of Madhya Pradesh, India, across cropping years 2019-20 and 2021-21, considering both timely and late planting conditions. The univariate and multivariate stability analysis were performed based on per-plant grain yield and grain filling rate. Our result revealed that environment, genotype, and GEI effects were significant (P < 0.001) across all the environments. The wheat genotypes JW3288, L8, and L13 have been discerned as top performers, exhibiting remarkable stability in grain yield per plant. Similarly, for grain filling rate, genotypes L11 and L13 have emerged as superior and consistently stable performers. Notably, the AMMI and GGE models demonstrated superior effectiveness and accuracy compared to the linear regression model. In conclusion, based on thorough univariate and multivariate stability analyses, L13 emerges as the most stable genotype across all environments under both planting conditions. Consequently, L13 holds promise for inclusion in future breeding programs. It's noteworthy that Jabalpur stands out as the most discriminating and representative environment among all the conditions assessed.
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