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Fusarium-Damaged Kernels and Deoxynivalenol in Fusarium-Infected U.S. Winter Wheat

May 2014 , Volume 104 , Number  5
Pages  472 - 478

Feng Jin, Guihua Bai, Dadong Zhang, Yanhong Dong, Lingjian Ma, William Bockus, and Floyd Dowell

First and fifth authors: College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China; first, second, and third authors: Department of Agronomy, Kansas State University, Manhattan 66506; second author: United States Department of Agriculture–Agricultural Research Service (USDA-ARS), Hard Winter Wheat Genetics Research Unit, Manhattan, KS 66506; fourth author: Department of Plant Pathology, University of Minnesota, St. Paul 55108; sixth author: Department of Plant Pathology, Kansas State University, Manhattan; and seventh author: USDA-ARS Engineering and Wind Erosion Research Unit, Manhattan, KS 66502.

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Accepted for publication 20 December 2013.

Fusarium head blight (FHB) is a devastating disease that threatens wheat (Triticum aestivum) production in many areas worldwide. FHB infection results in Fusarium-damaged kernels (FDK) and deoxynivalenol (DON) that dramatically reduce grain yield and quality. More effective and accurate disease evaluation methods are imperative for successful identification of FHB-resistant sources and selection of resistant cultivars. To determine the relationships among different types of resistance, 363 (74 soft and 289 hard) U.S. winter wheat accessions were repeatedly evaluated for FDK and DON concentration in greenhouse and field experiments. Single-kernel near-infrared (SKNIR)-estimated FDK and DON were compared with visually estimated FDK and gas chromatography-mass spectroscopy-estimated DON. Significant correlations were detected between percentage of symptomatic spikelets and visual FDK in the greenhouse and field, although correlations were slightly lower in the field. High correlation coefficients also were observed between visually scored FDK and SKNIR-estimated FDK (0.72, P < 0.001) and SKNIR-estimated DON (0.68, P < 0.001); therefore, both visual scoring and SKNIR methods are useful for estimating FDK and DON in breeding programs.

This article is in the public domain and not copyrightable. It may be freely reprinted with customary crediting of the source. The American Phytopathological Society, 2014.