ArticleBMC research notes2025
Cross-talk between stability parameters and selection models: a new procedure for improving the identification of the superior genotypes in multi-environment trials.
Article in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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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
1 citing paper in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveEvaluating new promising genotypes across multiple environments emphasizes the importance of grain yield stability and increasing production in sustainable agricultural systems. One way to achieve this is through multi-environment trials (METs) studying genotype-by-environment interaction (GEI) effects. GEI analysis has significantly advanced over the years, with various models and methods developed to better understand and utilize this phenomenon in plant breeding and finally identification of high-yielding and stable genotypes. This report aimed to integrate various stability parameters and selection models to achieve better decisions in selecting superior genotypes. Moreover, modified R-based scripts for selection models have been presented.
resultsAccording to the combined analysis of variance (ANOVA) and additive main effects and multiplicative interaction (AMMI) model, the main effects of environment (E), genotype (G), and their interaction (GEI) were significant for grain yield data. Our results showed that integrating stability parameters and selection models successfully identified superior genotypes. The selected genotypes by FAI-BLUP and MGIDI in addition to stability have higher performances than other genotypes, while the ranking method only selected genotypes with high stability. In conclusion, three genotypes G3, G4, and G6 were identified as high-yielding and stable genotypes for more evaluation in the warm regions of Iran.
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