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

The plant genome - 1 Sept 2024

Thapa Subash, Gill Harsimardeep S, Halder Jyotirmoy, Rana Anshul, Ali Shaukat, Maimaitijiang Maitiniyazi, Gill Upinder, Bernardo Amy, St Amand Paul, Bai Guihua, Sehgal Sunish K

Abstract excerpt

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 or resource expensive, hindering the progress in breeding for FHB-resistant cultivars. Though genomic selection (GS) can be...

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PMID: 38853339
DOI: 10.1002/tpg2.20470
PMCID: PMC12807346

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