The use of near infrared transmittance kernel sorting technology to salvage high quality grain from grain downgraded due to Fusarium damage
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Date
2017Author
Kautzman, Michael E
Wickstrom, Mark L.
Scott, Tom A.
Type
ArticleLanguage
enMetadata
Show full item recordAbstract
The mycotoxins associated with specific Fusarium fungal infections of grains are a threat to global food
and feed security. These fungal infestations are referred to as Fusarium Head Blight (FHB) and lead to
Fusarium Damaged Kernels (FDK). Incidence of FDK >0.25% will lower the grade, with a tolerance of 5%
FDK for export feed grain. During infestation, the fungi can produce a variety of mycotoxins, the most
common being deoxynivalenol (DON). Fusarium Damaged Kernels have been associated with reduced
crude protein (CP), lowering nutritional, functional and grade value. New technology has been developed
using Near Infrared Transmittance (NIT) spectra that estimate CP of individual kernels of wheat, barley
and durum. Our objective is to evaluate the technology's capability to reduce FDK and DON of downgraded wheat and ability to salvage high quality safe kernels. In five FDK downgraded sources of wheat,
the lowest 20% CP kernels had significantly increased FDK and DON with the high CP fractions having
decreased FDK and DON, thousand kernel weights (TKW) and bushel weight (Bu). Strong positive correlations were observed between FDK and DON (r ¼ 0.90); FDK and grade (r ¼ 0.62) and DON and grade
(r ¼ 0.62). Negative correlations were observed between FDK and DON with CP (r ¼ 0.27 and 0.32);
TKW (r ¼ 0.45 and 0.54) and Bu (r ¼ 0.79 and 0.74). Results show improved quality and value of
Fusarium downgraded grain using this technology.
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https://profiles.uonbi.ac.ke/jamesmuthomi/publications/multi-spectral-kernel-sorting-reduce-aflatoxins-and-fumonisins-kenyan-maizfile:///C:/Users/MLIS/Downloads/1-s2.0-S2405654515000086-main%20(1).pdf
http://erepository.uonbi.ac.ke/handle/11295/106968
Citation
Stasiewicz MJ, Falade TDO, Mutuma M, Mutiga SK, Harvey JJW, Fox G, Pearson TC, Muthomi JW, Nelson RJ. "Multi-spectral kernel sorting to reduce aflatoxins and fumonisins in Kenyan maize." Food Control. 2017;(78):203-214.Publisher
University of Nairobi