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Article

Monitoring wheat leaf rust severity using machine learning techniques.

Scientific reports - 29 Nov 2025

Bakhshi Tayebeh, Mehrabi Rahim, Sarbarzeh Mostafa Aghaee, Türkoğlu Aras, Demirel Fatih, Haliloğlu Kamil, Benlioğlu Berk, Sarhangi Mohsen, Ahmadi Farajollah Shahriari, Bocianowski Jan

Abstract excerpt

Wheat leaf rust, caused by Puccinia triticina Eriks., is recognized as one of the most destructive diseases affecting wheat worldwide, including Iran, resulting in substantial losses in grain yield and quality. This research focused on evaluating the pathogenic factors of nine leaf rust isolates collected from four different climates in Iran, using various differential genotypes. The assessment of leaf rust...

Read the complete abstract on PubMed

Topics

Triticum
Plant Diseases
Machine Learning
Genotype
Puccinia
Plant Leaves

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Seedlings

Disease Resistance

Iran

Basidiomycota

Source

Open in PubMed Open full text

Identifiers

PMID: 41318653
DOI: 10.1038/s41598-025-24407-8
PMCID: PMC12672644

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