Identification of Fusarium graminearum infection severity of wheat grains by digitally aided spectroscopy

Abstract. The Fusarium head blight caused mostly by Fusarium graminearum (F.g.) is the most important disease of wheat because it not only leads to yield loss, but the toxin contamination makes the yield harvested. First, visual assessment of the heads was made, then the ratio of Fusarium damaged kernels (FDK) becomes the attention, and since introduction of the toxin limits for wheat, the deoxynivalenol contamination has gained significance. However, the FDK has a greater practical significance, as the identification of Fusarium damaged kernels is the precondition of their separation.For this reason a more exact and more sensitive method was developed by using updated spectroscopy methods. The infection sensitive spectral index (ISSI) function has been developed to characterize spectral features of images of grains with different infection severities. The green and red color ranges could be best used in this analysis. It was also found that the way how different spectra from different grains or samples can be normalized and compared. This histogram analyzing method uses scanned images and it seems to be useful in describing the infection severity of heterogeneous samples better than available before.This might serve as scientific background to develop new instruments for rapid tests.

[1]  Hari Niwas Mishra,et al.  A rapid FT-NIR method for estimation of aflatoxin B1 in red chili powder , 2009 .

[2]  T. Miedaner,et al.  Breeding wheat and rye for resistance to Fusarium diseases , 1997 .

[3]  S. Delwiche,et al.  Enhancement of Fusarium head blight detection in free-falling wheat kernels using a bichromatic pulsed LED design , 2009 .

[4]  F. J. Kriegler,et al.  Preprocessing Transformations and Their Effects on Multispectral Recognition , 1969 .

[5]  Noel D.G. White,et al.  Evaluation of the effect of moisture content on cereal grains by digital image analysis , 2007 .

[6]  Gong Zhang,et al.  Separation of Touching Grain Kernels in an Image by Ellipse Fitting Algorithm , 2005 .

[7]  Á. Mesterházy,et al.  Genetic Variability of Central European Isolates of the Fusarium graminearum Species Complex , 2005, European Journal of Plant Pathology.

[8]  M. Snook,et al.  Stability of the mycotoxin deoxynivalenol (DON) during the production of flour-based foods and wheat flake cereal , 2010, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

[9]  Á. Mesterházy Role of Deoxynivalenol in Aggressiveness of Fusarium graminearum and F. culmorum and in Resistance to Fusarium Head Blight , 2002, European Journal of Plant Pathology.

[10]  J. Rubert,et al.  Application of an HPLC–MS/MS method for mycotoxin analysis in commercial baby foods , 2012 .

[11]  E. Badiale‐Furlong,et al.  Deoxynivalenol and nivalenol in commercial wheat grain related to Fusarium head blight epidemics in southern Brazil , 2012 .

[12]  Á. Mesterházy Types and components of resistance to Fusarium head blight of wheat , 1995 .

[13]  Á. Mesterházy,et al.  Determination of ergosterol in Fusarium-infected wheat by liquid chromatography-atmospheric pressure photoionization mass spectrometry. , 2006, Journal of chromatography. A.

[14]  S. R. Delwiche,et al.  Wavelength Selection for Monochromatic and Bichromatic Sorting of Fusarium-Damaged Wheat , 2005 .

[15]  D. Parry,et al.  Fusarium ear blight (scab) in small grain cereals—a review , 1995 .

[16]  Á. Mesterházy,et al.  Common resistance to different Fusarium spp. causing Fusarium head blight in wheat , 2005, European Journal of Plant Pathology.

[17]  G. Font,et al.  Analysis of fumonisins in corn-based food by liquid chromatography with fluorescence and mass spectrometry detectors , 2009 .

[18]  S. R. Delwiche,et al.  CLASSIFICATION OF SCAB– AND OTHER MOLD–DAMAGED WHEAT KERNELS BY NEAR–INFRARED REFLECTANCE SPECTROSCOPY , 2003 .

[19]  D. Centonze,et al.  Development of a new analytical method for the determination of fumonisins B1 and B2 in food products based on high performance liquid chromatography and fluorimetric detection with post-column derivatization. , 2008, Journal of chromatography. A.

[20]  E. González-Peñas,et al.  Comparison between capillary electrophoresis and high performance liquid chromatography for the study of the occurrence of patulin in apple juice intended for infants. , 2010, Food and Chemical Toxicology.

[21]  S. Shouche,et al.  Shape analysis of grains of Indian wheat varieties , 2001 .

[22]  R. Krska,et al.  Rapid simultaneous determination of major type A- and B-trichothecenes as well as zearalenone in maize by high performance liquid chromatography-tandem mass spectrometry. , 2005, Journal of chromatography. A.

[23]  X. Luo,et al.  Identification of Damaged Kernels in Wheat using a Colour Machine Vision System , 1999 .

[24]  E. Gratton,et al.  Prodan as a membrane surface fluorescence probe: partitioning between water and phospholipid phases. , 1998, Biophysical journal.

[25]  C. Pezzani,et al.  Mycotoxins occurrence in Argentina's maize (Zea mays L.), from 1999 to 2010 , 2012 .