Cross-talk between stability parameters and selection models: a new procedure for improving the identification of the superior genotypes in multi-environment trials
According 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.
Authors
- Alireza Pour‐Aboughadareh (ORCID: https://orcid.org/0000-0001-5782-5327)
- Janetta Niemann (ORCID: https://orcid.org/0000-0002-8011-9487)
- Omid Jadidi (ORCID: https://orcid.org/0000-0002-2706-2872)
- Bita Jamshidi
- Jan Bocianowski (ORCID: https://orcid.org/0000-0002-0102-0084)
Institutions
- Islamic Azad University, Science and Research Branch (IR)
- Sulaimani Polytechnic University (IQ)
- Agricultural Research & Education Organization (IR)
- Institute of Plant Genetics, Polish Academy of Sciences (PL)
- University of Life Sciences in Poznań (PL)
Publication Details
- Journal
- BMC Research Notes
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1186/s13104-025-07366-1
- Citations
- 2
- Primary Topic
- Genetics and Plant Breeding
- Type
- article
- Field-Weighted Citation Impact
- 3.50