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Objectives:
The primary objective for this
project was to determine the rate at which wheat kernels can be reliably
classified as healthy or Fusarium infected with a proprietary optical
method. The secondary objective is to establish whether the method has
the potential to be economic.
Introduction:
Fusarium head blight (FHB),
commonly known as scab or tombstone, is a fungal infection that affects
cereal crops in all major grain producing regions of the world.
Fusarium reduces both crop yield and crop quality. Species of the
Fusarium genus produce mycotoxins that are concentrated in, but not
limited to infected kernels. At concentrations in excess of a few parts
per million, the mycotoxins produce nausea, vomiting, and reduced growth
rates in livestock and humans. The concentration of Fusarium infected
kernels is thus an important factor for determining the grade, and hence
the price of grains. The value of wheat is reduced by 40% or more if 5%
of the kernels are infected. In Canada, losses to farmers are estimated
at more than $100 million per year. The ultimate objective of this
research is to develop methods to reduce the economic losses caused by
Fusarium by selectively removing Fusarium infected kernels from bulk
grain.
Results and Discussion:
Wheat kernels were placed in
grooves in a wheel apparatus so that the kernels passed in front of an
optical detection apparatus one at a time. The same kernels were
measured repeatedly, once per revolution, so that the measurement
reproducibility could be assessed. Wheat from 27 different sources was
tested to verify the range of applicability of the system. The maximum
detection rate achieved was 450 kernels per second, which corresponds to
approximately 50 kg per hour. The signal from each kernel sampled
repeatedly was reproducible to better than 1%. The maximum achieved
sampling rate was limited by the speed at which kernels could be
presented to the detector with the motor used in the apparatus. The
optical system alone was tested up to a rate corresponding to 20,000
kernels per second without degradation of signal quality. The minimum
economic rate is estimated to be 100 kernels per second and this rate
has been exceeded.
The optical system is linked to
a processor that outputs an electrical signal for each kernel based on
the optical characteristics of that kernel. The geometry and the type
of lighting used have been optimized and a patent application has been
filed. Healthy and infected kernels produce a range of signals that are
for the most part different, but overlap in a region containing about
10% of the kernels. A range of cutoff values within this range can be
selected which either maximize rejection of infected kernels or maximize
acceptance of healthy kernels. With one possible choice of operating
parameters, approximately 94% of the Fusarium infected kernels could be
rejected at a loss of 10% of the healthy kernels. Further experiments
are required to determine whether a second pass through the sorter can
improve the healthy kernel recovery.
In a commercial implementation
of the Fusarium detection method, all of the costs and benefits must be
weighed. Using prices posted by the Canadian Wheat Board, September
2006, a ton of wheat with 5% Fusarium is worth $133.35 per ton. This
could be separated into fractions with less than 0.5% Fusarium (86% of
the total) and 33% Fusarium (14% of the total). The low Fusarium
fraction would have a value of $170.71, an excess of $37.36 per ton. It
is premature to determine what the final cost of the process for
Fusarium removal will be, because the scale, labor costs for operation
and utilization are unknown.
Conclusions:
The feasibility of classifying
wheat kernels as healthy or Fusarium infected at a rate of 450 kernels
per second has been established. The classification rate is high enough
to form the basis of a commercial bulk grain cleaning system.
Acknowledgement:
This project was made possible due to funding from
the Governments of Manitoba and Canada through the Canada-Manitoba
Agri-Food Research and Development Initiative (ARDI).
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