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Article

Genomic and hyperspectral imaging-based prediction blending enables selection for reduced deoxynivalenol content in wheat grains.

G3 (Bethesda, Md.) - 8 Oct 2025

Concepcion Jonathan S, Noble Amanda D, Thompson Addie M, Dong Yanhong, Olson Eric L

Abstract excerpt

Breeding for low deoxynivalenol (DON) mycotoxin content in wheat is challenging due to the complexity of the trait and phenotyping limitations. Since phenomic prediction relies on nonadditive effects and genomic prediction on additive effects, their complementarity can improve selection accuracy. In this study DON-infected wheat kernels were imaged using a hyperspectral camera to generate reflectance values...

Topics

Triticum
Trichothecenes
Genomics
Hyperspectral Imaging
Phenotype
Edible Grain
Plant Breeding
Bayes Theorem
Genome, Plant

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 40795041
DOI: 10.1093/g3journal/jkaf176
PMCID: PMC12506668

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