Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches

Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches

Abstract By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley (Hordeum Vulgare L). A 130-line F8-F9 barley population caused Badia and Kavir to grow at the Gonbad Kavous University Research Farm on three p...

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Bibliographic Details
Main Authors: Farveh Vahidpour, Hossein Sabouri, Fakhtak Taliei, Sayed Javad Sajadi, Saeed Yarahmadi, Hossein Hosseini Moghaddam
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Drought
Salinity
Machine learning
Prediction
Classification
Barley
Online Access:https://doi.org/10.1038/s41598-025-02939-3
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https://doi.org/10.1038/s41598-025-02939-3

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