Near infrared spectroscopy for deoxynivalenol content estimation in intact wheat grain

https://doi.org/10.17221/684/2011-PSECitation:Dvořáček V., Prohasková A., Chrpová J., Štočková L. (2012):   Near infrared spectroscopy for deoxynivalenol content estimation in intact wheat grain. Plant Soil Environ., 58: 196-203.
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Non-invasive determination of deoxynivalenol (DON) still presents a challenging problem. Therefore, the present study was aimed at a rapid determination of DON in whole wheat grain by means of FT-NIR spectroscopy, with a wide range of concentrations for potential applications in breeding programs and common systems of quality management using partial least square calibration (PLS) and discriminant analysis technique (DA). Using a set of artificially infected wheat samples with a known content of DON, four PLS models with different concentration range were created. The broadest model predicting DON in the concentration range of 0–90 mg/kg possessed the highest correlation coefficients of calibration and cross validation (0.94 and 0.88); but also possessed the highest prediction errors (SEP = 6.23 mg/kg). Thus the subsequent combination of DA as the wide range predictive model and the low-range PLS model was used. This technique gave more precise results in the samples with lower DON concentrations – below 30 mg/kg (SEP = 2.35 mg/kg), when compared to the most wide-range PLS model (SEP = 5.95 mg/kg).
Such technique enables to estimate DON content in collections of artificially infected wheat plants in Fusarium resistance breeding experiments.  
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