Estimation of the deoxynivalenol and moisture contents of bulk wheat grain samples by FT-NIR spectroscopy

Kamaranga H.S. Peiris, Yanhong Dong, Mark A. Davis, William W. Bockus, Floyd E. Dowell

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Deoxynivalenol (DON) levels in harvested grain samples are used to evaluate the Fusarium head blight (FHB) resistance of wheat cultivars and breeding lines. Fourier transform near-infrared (FT-NIR) calibrations were developed to estimate the DON level and moisture content (MC) of bulk wheat grain samples harvested from FHB screening trials. Grains in a rotating glass petri dish were scanned in the 10,000-4,000 cm-1 (1,000-2,500 nm) spectral range using a Perkin Elmer Spectrum 400 FTIR/ FT-NIR spectrometer. The DON calibration predicted the DON levels in test samples with R2 = 0.62 and root mean square error of prediction (RMSEP) = 8.01 ppm. When 5-25 ppm of DON was used as the cut-off to classify samples into low-And high-DON groups, 60.8-82.3% of the low-DON samples were correctly classified, whereas the classification accuracy of the high-DON group was 82.3-94.0%. The MC calibration predicted the MC in grain samples with R2 = 0.98 and RMSEP = 0.19%. Therefore, these FT-NIR calibrations can be used to rapidly prescreen wheat lines to identify low-DON lines for further evaluation using standard laboratory methods, thereby reducing the time and costs of analyzing samples from FHB screening trials.

Original languageEnglish (US)
Pages (from-to)677-682
Number of pages6
JournalCereal Chemistry
Volume94
Issue number4
DOIs
StatePublished - Jul 1 2017

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