A dataset for the application of the Bayesian AMMI (B-AMMI) model to identify high-yielding and stable barley genotypes
- DOI
- 10.1016/j.dib.2026.113309
- Published
- 2026-08
- Container
- Data in Brief
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2026.113309,
title = {A dataset for the application of the Bayesian AMMI (B-AMMI) model to identify high-yielding and stable barley genotypes},
author = {Salim Rahmati and Alireza Pour-Aboughadareh and Reza Azizi-Nezhad and Lia Shooshtari and Alireza Etminan and Bita Jamshidi and Omid Jadidi and Jan Bocianowski},
year = {2026},
journal = {Data in Brief},
doi = {10.1016/j.dib.2026.113309},
url = {https://doi.org/10.1016/j.dib.2026.113309}
}RIS
TY - JOUR TI - A dataset for the application of the Bayesian AMMI (B-AMMI) model to identify high-yielding and stable barley genotypes AU - Salim Rahmati AU - Alireza Pour-Aboughadareh AU - Reza Azizi-Nezhad AU - Lia Shooshtari AU - Alireza Etminan AU - Bita Jamshidi AU - Omid Jadidi AU - Jan Bocianowski PY - 2026 JO - Data in Brief DO - 10.1016/j.dib.2026.113309 UR - https://doi.org/10.1016/j.dib.2026.113309 ER -
APA
Rahmati, S., Pour-Aboughadareh, A., Azizi-Nezhad, R., Shooshtari, L., Etminan, A., Jamshidi, B., Jadidi, O., & Bocianowski, J. (2026). A dataset for the application of the Bayesian AMMI (B-AMMI) model to identify high-yielding and stable barley genotypes. Data in Brief. https://doi.org/10.1016/j.dib.2026.113309
Source records
- crossref · retrieved 2026-11-08T11:20:12.520Z