ArticleBMC plant biology2025
Integrating univariate and multivariate stability indices for breeding clime-resilient barley cultivars.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Sharing approaches in predictive genomics across animals, plants and humans.Nature genetics · 2026Review
- Evaluating barley genotypes for yield stability using integrated model- and rank-based stability statistics.BMC plant biology · 2025Article
- Genotype environment interaction and stability analyses of advanced blast resistant rice genotypes derived from crossing MR219 x Pongsu Seribu-2.Scientific reports · 2025Article
- Resilient yet productive: maize that can thrive under stress and in optimal conditions.Frontiers in plant science · 2025Article
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4 authors.
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Abstract
Studying genetic variability through the phenotypic performance of genotypes is crucial in the breeding program. Therefore, evaluating both yield performance and stability across diverse environments is essential in yield trials to identify high-yield potential and stable cultivars. In this study, we employed 12 univariate and 10 multivariate stability models to analyze how genotype (G), environment (E), and their interaction (G × E) affect the yield performance of 32 barley genotypes across 10 environments. The environmental main effect explained 81.3% of the total variation, compared to 18.6% for genotypes and G × E interaction effects. Using the GGE biplot 'which-won-where' polygon, we categorized environments into five groups and genotypes into six groups, identifying eight genotypes with mean grain yield (GY) superior to the overall mean (4.43 tons ha
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