Moisture effects on the prediction performance of a single kernel near-infrared deoxynivalenol calibration

Authors: PEIRIS, K.H - Kansas State University; DONG, Y - University Of Minnesota; BOCKUS, W - Kansas State University; Dowell, Floyd

Submitted to: Cereal Chemistry
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 7/1/2016
Publication Date: 12/1/2016
Publication URL: http://handle.nal.usda.gov/10113/5581442
Citation: Peiris, K.S., Dong, Y., Bockus, W.W., Dowell, F.E. 2016. Moisture effects on the prediction performance of a single kernel near-infrared deoxynivalenol calibration. Cereal Chemistry. 93(6):631-637. doi:10.1094/CCHEM-04-16-0120-R.

Interpretive Summary: Fusarium head blight (FHB) disease cause significant yield and quality losses in harvested wheat resulting in numerous problems in grain marketing, processing and utilization leading to severe economic losses. Quality losses include those due to the presence of mycotoxins such as deoxynivalenol (DON) in infected grains which are harmful for human and animal health. In order to improve prediction models, the effect of moisture content variation on the accuracy of single kernel deoxynivalenol (DON) prediction by near-infrared (NIR) spectroscopy was investigated. Sample moisture content (MC) considerably affected accuracy of the current NIR DON calibration. DON in single kernels was most accurately estimated at a MC of 13-14% MC. These results show that absorption regions associated with water are often close to absorption regions associated with fusarium damage. Thus, care must be taken to develop DON calibrations that are independent of grain MC. This information will be useful to instrumentation developers, wheat breeders, and other users utilizing NIR technology to measure FHB and DON in grain.

Technical Abstract: Effect of moisture content variation on the accuracy of single kernel deoxynivalenol (DON) prediction by near-infrared (NIR) spectroscopy was investigated. Sample moisture content (MC) considerably affected accuracy of the current NIR DON calibration by underestimating or over estimating DON at higher or lower moisture levels, respectively. DON in single kernels was most accurately estimated at a MC of 13-14% MC. Major NIR absorptions related to Fusarium damage were found around 1198-1200 nm, 1418-1430 nm, 1698 nm, and 1896-1914 nm. Major moisture related absorptions were observed around 1162nm, 1337 nm, 1405-1408 nm, 1892-1924 nm and 2202 nm. Fusarium damage and moisture related absorptions overlapped in the 1380-1460 nm and 1870-1970 nm regions. These results show that absorption regions associated with water are often close to absorption regions associated with fusarium damage. Thus care must be taken to develop DON calibrations that are independent of grain MC.