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Genetics and Behavior
Project
personnel: Dick
Beeman, Jim Campbell,
Thomas Phillips,
David Hagstrum, Sonny
Ramaswamy, Mike Mullen,
Bh. Subramanyam,
Ralph Howard,
Charles Woloshuk
Molecular markers can be used for
identification and monitoring of pest populations
and infestation sources. Genomics research will identify molecular
markers than can isolate and
identify breeding populations on either a local or a larger geographic
scale, determine infestation sources, and
identify geographic or other barriers to gene flow
between populations. We have used markers to identify two major breeding
populations of red flour beetle in the U.S.
(Beeman and Brown 1999; Beeman and Friesen
1999) There is no detectable South-to-North gene flow between these two
populations, and only limited
North-to-South gene flow. This was unexpected in view of the
generally great mobility of stored-product insect pests, associated with
hitchhiking on commercial food
shipments. Markers can also identify genes and gene pathways whose
protein products could be targeted for
disruption or intervention, for example by the design
of inhibitory peptides and their incorporation into transgenic crops
(Kramer 1999).
The use
of behavior modifying agents in stored-product IPM has been limited
primarily to the use of pheromones and food
odors in traps to monitor pest populations (Phillips
1997; Shu et al. 1996, 1999). The emphasis of the research will be to
gain additional knowledge concerning
behavioral interactions between stored-product pests and
their environment. Additionally, sex pheromones of some species (e.g.,
sawtoothed grain beetle) have been
ineffective, in part because of incorrect blends being used, instability
of the compounds, or because of incomplete identification (Pierce et al
1984; Phillips et al. 2000). New
research programs are being initiated to reexamine the identity of
sex pheromones of key species, optimize them as attractants for use in
monitoring devices, and for use in
disruption of pheromone communication. Research will also focus on
the patch use behavior of some of the major pest species, the functional
value of aggregation pheromones
produced by some stored product pests, the influence of pheromone
traps on the movement behavior of pests, and the development of new
control tactics that can be targeted
at residual pest populations. The proposed collaborative research
will result in development of more efficacious pheromone blends usable
for monitoring purposes, disruption
of pheromone communication, and development of attracticides.
The most
important research for promoting implementation will be that which
develops practical insect sampling programs
and cost-effective pest management programs,
and demonstrates their efficacy under commercial conditions. Almost all
food-handling establishments use
pheromone-baited traps to monitor for insect activity, and
3 trap designs developed at the GMPRC are commercially available and are
widely used in the industry (Mullen
1992; Mullen and Dowdy in press). The Dome trap is a dust resistant
trap designed for use in dusty areas was modified from (Mullen 1992).
Spatial analysis (Geo-statistical
analysis) and contour mapping are being used at the USDA’s GMPRC
to develop effective methods to interpret trap catch and monitor changes
in insect populations before and
after a chemical or non-chemical intervention (Mullen et al. 1997).
As part of this research, we will develop practical methods for
interpreting trap catch data for use
by the food industry. Presently, this information should help sanitarians
and pest managers in mitigating pest problems before serious economic
losses (product loss, decreased
consumer confidence) occur.
As spoiling grain deteriorates, CO 2
is produced from fungal and insect
respiration. When fungal feeding
insects colonize spoiling grain, higher rates of CO2
production occur.
Studies conducted in the 1940s and 50s indicated that wheat stored below
an EMC of 14.5% did not produce
measurable CO2 (Christensen,
1957). However, when wheat was
stored at 18% moisture, CO2
production was detectable in 5 days
due to fungal growth, and the rate
of CO2 production
increased rapidly over the next ten days (Milner et al.,
1947). This increase in CO2
was detected before the temperature
increase was detectable and was also
greater than that of temperature. Monitoring the condition of thousands
of bushels of grain is a difficult task with temperature monitors. Our
research will present evidence that
CO2 monitoring
technology can be effectively used in grain management.
The impact of this research will help solve grain storage problems by
applying an available technology that can
detect spoilage before it becomes unmanageable.
If spoilage is detected early by an increase in CO2
concentrations, the problem
can be corrected by simple management practices such as applying
aeration to cool and dry the grain
mass. We anticipate future applications of our CO2
data that will include
incorporation into our PHAST-FEM computer modeling program to predict
the quantity of the spoiling grain
and to determine whether insects are involved in such spoilage
(Montross, 1999). |
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