中文摘要：常用收获后粮食样品中脱氧雪腐镰刀菌烯醇（DON）水平来评估小麦品种及品系的赤霉病（FHB）抗性。本研究开发了傅里叶变换近红外(FT-NIR)光谱法，评估从FHB筛选试验收获的散装小麦样品的DON水平及含水量(MC)。研究表明，这些FT-NIR校准可用于快速筛选小麦系，为进一步用标准的实验室方法评估预先鉴定低DON系，从而节省FHB筛选试验分析样品的时间及费用。
外文摘要：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 FT-IR/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.
作者：Peiris, KHS；Dong, YH；Davis, MA；Bockus, WW；Dowell, FE
作者单位：Kansas State Univ
期刊名称：CEREAL CHEMISTRY
期刊影响因子：1.036
出版年份：2017
出版刊次：4
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