Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight–related traits in winter wheat

Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight–related traits in winter wheat

Abstract Fusarium head blight (FHB) remains one of the most destructive diseases of wheat (Triticum aestivum L.), causing considerable losses in yield and end‐use quality. Phenotyping of FHB resistance traits, Fusarium‐damaged kernels (FDK), and deoxynivalenol (DON), is either prone to human biases...

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Main Authors: Subash Thapa, Harsimardeep S. Gill, Jyotirmoy Halder, Anshul Rana, Shaukat Ali, Maitiniyazi Maimaitijiang, Upinder Gill, Amy Bernardo, Paul St. Amand, Guihua Bai, Sunish K. Sehgal
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:The Plant Genome
Online Access:https://doi.org/10.1002/tpg2.20470
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https://doi.org/10.1002/tpg2.20470

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