Location: Hard Winter Wheat Genetics Research Unit
Title: Fusarium-damaged kernels and deoxynivalenol in Fusarium-infected U.S. Winter Wheat Authors
|Jin, Feng -|
|Zhang, Dadong -|
|Dong, Yinhong -|
|Ma, Lingjian -|
|Bockus, William -|
Submitted to: Phytopathology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: December 20, 2013
Publication Date: May 1, 2014
Repository URL: http://apsjournals.apsnet.org/doi/abs/10.1094/PHYTO-07-13-0187-R
Citation: Jin, F., Bai, G., Zhang, D., Dong, Y., Ma, L., Bockus, W., Dowell, F.E. 2014. Fusarium-damaged kernels and deoxynivalenol in Fusarium-infected U.S. Winter Wheat. Phytopathology. 104(5):472-478. Interpretive Summary: Fusarium head blight (FHB) is a devastating disease that threatens wheat production worldwide. Fusarium-damaged kernels (FDK) contaminated with mycotoxins such as deoxynivalenol (DON) during infection affect human and animal health when used as food and feed. We evaluated 363 (74 soft and 289 hard) U.S. winter wheat accessions for FDK and DON content in greenhouse and field experiments. Cultivars differed significantly in FDK and DON content. Significant correlations were found between visual FHB scores and visual FDK ratings in the greenhouse and field, and between visually scored FDK and SKNIR-estimated FDK and SKNIR-estimated DON; therefore, both visual scoring and Single-Kernal near-infrared (SKNIR) methods can be used to estimate FDK and DON in breeding programs.
Technical Abstract: Fusarium head blight (FHB) is a devastating disease that threatens wheat (Triticum aestivum L.) 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 content 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 (GC-MS)–estimated DON. Significant correlations were detected between percentage of symptomatic spikelets (PSS) 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 (0.73, P < 0.001) and SKNIR-estimated DON (0.71, P < 0.001); therefore, both visual scoring and SKNIR methods are useful for estimating FDK and DON in breeding programs.