๐Ÿ“–
A dataset for the application of the Bayesian AMMI (B-AMMI) model to identify high-yielding and stable barley genotypes.
Rahmati S, Pour-Aboughadareh A, Azizi-Nezhad R, Shooshtari L, Etminan A, Jamshidi B, Jadidi O, Bocianowski J

A dataset for the application of the Bayesian AMMI (B-AMMI) model to identify high-yielding and stable barley genotypes.

Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in Data Brief.

Advertisement
SPONSOR CONTENT
Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title A dataset for the application of the Bayesian AMMI (B-AMMI) model to identify high-yielding and stable barley genotypes.
Author / Organization Rahmati S, Pour-Aboughadareh A, Azizi-Nezhad R, Shooshtari L, Etminan A, Jamshidi B, Jadidi O, Bocianowski J
Subject & Discipline Data Brief
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-8292
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »