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Objective B
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NC-213
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Determine the effects of genetic traits, abiotic environmental conditions, and handling practices on the quality of cereals and oilseeds
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NC-213 Progress Report for 2002
From: USDA, ARS
Grain Marketing and Production Research Center
Manhattan, Kansas
By: Casada M.E.,
Engineering Research Unit
Arthur, F.H., Biological Research Unit
NC-213 Objective: B
Procedure: 1a
Project Objectives: Develop and evaluate
automatic grain aeration control strategies for maintaining grain quality and
controlling insects during storage.
Results For 2002: In a third
year of field tests of aeration of wheat in Kansas, the summer aeration cycle
(the first of three cycles) again reduced temperatures compared a bin not
aerated in the summer. Like the second year, but unlike the first year, high
nighttime humidity slowed the cooling process. The extended fan run hours
improved the removal of heat gained from solar radiation on the top and south
wall as compared to the first year that had less fan run time due to lower
nighttime humidities.
Figure 1 shows the temperatures near the center of the bins through the summer
and fall. Although the summer aerated bin was loaded with warmer grain, it soon
cooled to temperatures below the other bin and averaged 7.4°F cooler for the
rest of the summer. However, because of the evaporative heating with the night
aeration air, the center of the summer aerated bin was not as cool as desirable
for insect suppression.
Plans For 2003: Collect,
analyze, and report data on performances of additional refined grain aeration
strategies and temperature monitoring systems. Compare results for up flow
versus down flow systems as well as for different aeration cycle lengths for
summer aeration
Publications:
Billate, R.D., R.G. Maghirang, and M.E. Casada. 2002. Measurement of air
entrainment and dust emission during shelled corn receiving operations with
simulated hopper bottom grain trailers. ASAE Paper No. 02-6112. Presented at the
2002 ASAE Annual International Meeting/CIGR XVth World Congress. Chicago, Ill.
July 28-July 31.
Casada, M.E. 2002. Moisture adsorption characteristics of wheat and barley.
Transactions of the ASAE. 45(2):361-368.
Casada, M.E., F.H. Arthur, and H. Akdogan. 2002. Temperature monitoring and
aeration strategies for stored wheat in the central plains. ASAE Paper No.
02-6116. Presented at the 2002 ASAE Annual International Meeting/CIGR XVth World
Congress. Chicago, Ill. July 28-July 31.
Ingles, M.E., M.E. Casada, and R.G. Maghirang. 2002. Influence of grain handling
equipment on commingling and residual grain. ASAE Paper No. 02-6111. Presented
at the 2002 ASAE Annual International Meeting/CIGR XVth World Congress. Chicago,
Ill. July 28-July 31.
Issues: Optimizing the design and management of
grain storage systems requires proper analytical tools such as validated
computer models of the stored grain environment. Several modeling and
temperature accumulation studies indicate that an additional summer cooling
cycle for stored wheat, in addition to cooling in early and late autumn, can
limit population development of insect pests.
What Was Done: A third year of field validation
tests were conducted comparing two temperature management strategies: 1)
controlled aeration at (15°C) 60°F in early autumn and 7°C (45°F) in late
autumn, the standard 2-cycle cooling regimes currently used for stored wheat,
and 2) controlled aeration at 24°C (75°F) after binning in addition to the
autumn cooling cycles.
Impacts: The potential to reduce energy consumed
for grain cooling is estimated at 25-50 percent. The greatest impact is the
assurance of timely grain cooling and prevention of grain quality losses from
deterioration and insect infestations. Results from this project may lead to the
development of new insect pest management and temperature management strategies
for stored wheat.
Figure 1. Temperatures at the center of summer and autumn aerated bins.

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NC-213 Progress Report for 2002
From: University of Nebraska-Lincoln
Department of Food Science & Technology
By: Bullerman, L. B.
NC-213 Objective: B
Procedure: 1b
Project Objectives: To screen food grade
lactic acid bacteria for antifungal activity and to determine the effects of
Lactobacillus rhamosus and Bacillus pumilus on mold growth and mycotoxin
production by Fusarium species.
Results for 2002: Several
strains of lactic acid bacteria isolated from sourdough bread cultures were
found to significantly inhibit the growth of a number of common spoilage and
mycotoxigenic molds. Five of the bacterial isolates gave complete inhibition of
Aspergillus ochraceus, Penicillium expansum, P. verrucosum, P. commune, Fusarium
proliferatum and Cladosporium cladosporoides. Two of the five strains also
completely inhibited the growth of A. flavus and P. italicum.
In another study L. rhamnous and B. pumilus were found to inhibit growth of F.
verticillioides, F. proliferatum and F. graminearum and the production of
fumonisins B1 (FB1) and B2 (FB2), deoxynivalenol (DON) and zearalenone (ZEN).
Bacillus pumilus had the stronger antimycotoxigenic activity, inhibiting
mycotoxin production from 52.7 to 100% whereas L. rhamnosus inhibited mycotoxin
production by 21.1 to 100%. Bacillus pumilus inhibited FB1 by 85 to 99.8%, FB2
by 53 to 97.7%, DON by 89 to 98.7% and ZEN by 66 to 100%.
Plans for 2003: A more extensive survey of lactic
acid bacteria from natural sources such as sourdough bread cultures, dairy
starter cultures, silage inoculants, fermented foods, other natural sources and
pure cultures will be conducted to search for isolates with antifungal activity.
The most inhibitory isolates will be studied for their ability to inhibit growth
of spoilage and mycotoxigenic molds common to cereal grains. Those isolates
which have antifungal activity will also be studied for effects on mycotoxin
production.
Publications:
Stiles, J., S. Penkar, M. Plockova, J. Chumchalova and L. B. Bullerman. 2002.
Antifungal activity of sodium acetate and Lactobacillus rhamnosus. J. Food Prot.
65:1188-1191.
Stiles, J. and L. B. Bullerman. 2002. Inhibition of Fusarium species and
mycotoxin production by Bacillus pumilus NE B1 and Lactobacillus rhamnosus VT1.
In H. W. Dehne, U. Gisi, K. H. Kuck, P. E. Russell and H. Lyr (Eds.). Modern
Fungicides and Antifungal Compounds III. pp. 291-295. AgroConcept GmbH, Bonn,
Germany.
Issues: Fungi cause spoilage and losses of cereal
grains in the field and during storage, and pose food and feed safety concerns
by potential production of mycotoxins. Interest in novel antifungal preservation
methods and inhibition of mycotoxin production without using chemicals has
increased in recent years, supported by research that antagonistic microorganism
or their metabolites may have antifungal properties. Research is needed to
screen food grade bacteria from various sources for antifungal and
antimycotoxigenic activity and to define the ability of active cultures to
inhibit mold growth and mycotoxin production.
What Was Done: Lactic acid bacteria from
sourdough bread cultures were screened for antifungal activity and preliminarily
five cultures were found to possess antifungal activity. In addition, B. pumilus
and L. rhamnosus were studied for their ability to inhibit growth of Fusarium
species and production of F B1, FB2, DON and ZEN. Bacillus pumilus exhibited
stronger antifungal activity than L. rhamnousus, but there are unresolved safety
concerns with B. pumilus that need to be addressed.
Impacts: These preliminary results indicate that
certain lactic acid bacteria may have sufficient antifungal and
antimycotoxigenic activity to offer promise for possible development of safe
natural antimycotic biological agents to prevent fungal invasion and mycotoxin
contamination of cereal grains in the field and in storage.
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NC-213 Progress Report for 2002
From: Purdue University
Agricultural and Biological Engineering
Botany and Plant Pathology
Entomology
By: Maier, D.E.
Ileleji, K.E.
Bhat, C.
Woloshuk, C.P.
Mason, L.J.
NC-213 Objective: B
Procedure: 1a, 2a
Project Objectives: The goal of this project is to evaluate, under field
conditions, the use of carbon dioxide detectors to monitor for bio-activity in
stored corn prior to the time that spoilage would be detected by traditional
methods. Our hypothesis is that CO2 monitors can efficiently detect grain in the
early stages of spoilage. The specific project objectives are: 1) To determine
the parameters for monitoring changes in CO2 concentrations within a grain bin,
2) To determine the relationship between a fungal biomass growing in a grain bin
and the early detection of CO2, 3) To determine the impact of fungal feeding
insect infestations on detection of CO2 from spoiling grain, and 4) To determine
scale-up parameters through modeling in order to implement the CO2 monitoring
technology in commercial-sized storage structures.
Title: Monitoring stored grain quality
Results for 2002: The first objective of this research project was completed in
2000, and has been previously reported on. The in-lab experiments of the second
objective were completed in 2001, and were previously reported on. The pilot bin
trials of the second objective were completed in 2002 and are the focus of this
report. A developing hot spot primarily due to fungi growing on the
deteriorating corn mass was simulated in a corn bulk of about 383 bushels stored
in a 500-bushel capacity pilot bin. The hot spot was initiated by automatically
dripping water into a confined part of the grain bulk at the center, which
gradually increased the grain moisture content to optimum conditions that
permitted fungi spores to thrive and colonize the affected corn mass creating a
localized hot spot. Intermittent aeration pushed CO2 generated in the hot spot
module to the headspace where the CO2 sensor was mounted. Multiple sensors were
located in the grain mass and data was recorded continuously. Trials 1, 2 and 3
were conducted from September 9 to October 19, 2001, October 31 to December 10,
2001 and December 19 to March 18, 2002, respectively. The rising temperatures at
the center of each grain mass in the hot spot module after about 400, 600 and
800 hours paralleled the rising CO2 concentrations recorded by the CO2 sensor.
In trial 1, the temperature of the corn mass in the hot spot module increased
from 20oC to 48oC after 400 hours, while the rest of the grain bulk cooled to
about 12oC. The CO2 concentration increased from about 500 ppm to as high as
1500 ppm. Trials 2 and 3 followed similar trends. In none of the trials was
there any indication of spoilage activity occurring in the grain mass based on
bulk temperature recordings by fifteen sensors on five cables in the bin. The
closest temperature cable sensor was only 0.61 m (2 ft) from the wall of the hot
spot module. In a real scenario, an undetected hot spot could spread and cause
great damage to the entire grain bulk if it were not detected early and
appropriate measures were applied to prevent its progression. The feasibility of
CO2 detection was further explored by intermittently monitoring the exhaust air
of several 1-2 million bushel ground piles at three commercial elevators between
January and April 2002. Three CO2 sensors were used to intermittently monitor
stored grain conditions in 12 pilot bins between May and October 2002.
Plans for 2003: The third objective of this
research project will be completed in 2003. We have been working on the fourth
objective, which involves adapting an existing CO2 movement model to predict the
generation and diffusion of low CO2 levels due to biological activity (fungi,
insects) in a grain mass. The model will be incorporated into our existing
Post-Harvest Aeration and Storage Simulation Tool (PHAST), which is based on the
finite element method (FEM). The PHAST-FEM software will be validated using data
collected from the in-lab and pilot bin experiments of CO2 detection undertaken
for objectives 2 and 3 of the project.
Publications:
Maier, D.E., K.E. Ileleji and C.P. Woloshuk. 2002. Detection of a Developing Hot
Spot in Stored Corn. Paper No. 026075. St. Joseph. Mich: ASAE.
Issues: In the United States close to 20
billion bushels of grain are stored every year. Insects and fungi create
numerous quality problems in these stored grains that cause millions of dollars
in losses. It is essential for the grain storage industry to have effective pest
management programs to protect against economic loss due to contamination from
insects, fungi and mycotoxins. A major contributor to the spoilage of grain is
the growth of various fungal species, including several that produce mycotoxins.
Although quality of harvested grains can never be improved with storage time,
the rate of deterioration can be slowed with an integrated systems approach that
combines engineering, biological and economic principles.
What Was Done: Monitoring the condition of
thousands of bushels of grain is a difficult task with only the technology of
temperature sensors. Our research has presented evidence that CO2 monitoring
technology can be effectively used in stored grain management.
Impacts: The impact of this research will help
solve grain storage problems by applying an available technology that can detect
spoilage before it gets out-of-hand. If spoilage is detected early by an
increase in CO2 concentration, the problem can be corrected by simple management
practices such as applying aeration to cool and dry the grain mass.
Funding Sources:
Anderson Research Grant Program 1999-2001; 2002-2003
Contacts:
Dirk Maier, Department of Agricultural and Biological Engineering, Purdue
University; Phone: 765-494-1175; Fax: 765-496-1356; e-mail: maier@purdue.edu -
URL: http://www.GrainQuality.org
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NC-213 Progress Report for 2002
From: USDA, ARS
Center
for Medical, Agricultural and Veterinary Entomology
Gainesville, FL
By: Shuman, D.
NC-213 Objective: B
Procedure: 2
Project Objectives: To develop and
evaluate automated systems for monitoring infestations in stored-products.
Title: Detection and population
estimation of stored product insects.
Results for 2002: Development has continued on
the refinement of the Electronic Grain Probe Insect Counter (EGPIC - U.S. Patent
No.5,646,404 issued 7/97) that electronically counts the number of insects that
fall through it as a means of monitoring infestations in stored-products. An
EGPIC integrated sensor head and body design suitable for commercial manufacture
was explored. The iterative process of testing, evaluation, and modification of
the commercial EGPIC hardware and software components to be produced by OPI
Systems was performed. The EGPIC sensor head was redesigned to enhance the
performance of its species identification capabilities for use in the first
commercial release of the EGPIC system. Using two orthogonal intersecting
infrared beams and a programmed microcontroller with two analog inputs to
analyze incoming sensor signals, this novel invention was described in a CIP to
the previous patent application that described the basic method of species
identification. Sensor data were collected for falling stored-product insects of
various species, comparing the new dual beam sensor head with the previous
single beam sensor head.
In order to help transfer this technology and aid in its commercialization,
several outreach efforts were made. The EGPIC Working Group was established to
expand EGPICs use in research, to field validate its potential as a
stored-product pest management tool with a variety of commodities over a range
of geographic locations, and to increase its exposure to the agricultural
industry. A field study was proposed for the first commercially available EGPIC
systems to estimate insect populations and to validate the use of EGPIC with the
Stored Grain Advisor expert system for farm-stored wheat and the risk analysis
for elevators.
Exploratory research continued on the development of a proprietary electronic
trap for monitoring stored-product moths.
A CIP to the invention "Sensor Output Analog Processing-A Microcontroller-Based
Insect Monitoring System," (Serial No. 09/846,277) was filed at the U.S. Patent
and Trademark Office on 5/1/02. Insect drop tests demonstrated that the new
invention provides a significant improvement in differentiating between species
based on body size. A new grain probe body and sensor head was designed and
fabricated using an injection molding technique and initial units were produced.
The EGPIC field study was funded to cover data collection expenses at three
diverse grain storage sites and the services of a statistician to analyze the
data and develop algorithms for using EGPIC data to predict insect population
densities with species identification confidence levels.
The CRADA established with OPI Systems was expanded to include Montana State
University to permit cooperative development of the proprietary electronic
monitoring technology for stored product moths.
Publications:
Epsky, N.D. and D. Shuman. 2002. Hole density and capture of stored product
insects pests in grain probe traps. Journal of Economic Entomology 95:
1326-1332.
Shuman, D., D.K. Weaver and A. Dagan. 2002. An Automated Counting Insect
Electrocutor. U.S. Patent No. US 6,493,363 B1, issued Dec. 10, 2002
Shuman, D. and N.D. Epsky. 2001 (first appeared in 2002). Commercialization of
the Electronic Grain Probe Insect Counter. In: Proc. Int. Conf. On Controlled
Atmospheres and Fumigation in Stored Products, (edited by Donahaye, E.J.,
Navarro, S. and Leesch J.G.), Oct. 29 - Nov. 3, 2000, Executive Printing
Services, Clovis, CA, 665-677.
Shuman, D. and N.D. Epsky. 2001 (first appeared in 2002). Commercialization of
the Electronic Grain Probe Insect Counter, abstract published in
Phytoparasitica, Vol. 29 Supplement: 71S.
Shuman, D., D.K. Weaver and R.T. Arbogast. 2001 (first appeared in 2002). A
computer-based insect monitoring system for stored-grain using infrared sensors.
Acta Horticulturae 562: 243-255.
Toews, M.D., T.W. Phillips and D. Shuman. Electronic and manual monitoring of
Cryptolestes ferrugineus (Stephens) (Coleoptera: Cucujidae) in stored wheat. (In
press.)
Contacts:
Dennis Shuman, Center for Medical, Agricultural and Veterinary Entomology, ARS,
USDA; Phone: 352-374-5737; e-mail: dshuman@gainesville.usda.ufl.edu
Return to Table of Contents
NC-213 Progress Report for 2002
From: USDA, ARS
Center for Medical, Agricultural and Veterinary Entomology
Gainesville, Florida
NC-213 Objective: B
Procedure: 2
By: Silhacek, D.L.
Murphy, C.
Project Objectives: To identify key nutritional
elements, essential for growth and development of the Indianmeal moth, which can
be exploited for managing moth infestations in appropriately designed cereal
products.
Title: Pesticide alternatives for protection of
stored cereal products.
Results for 2002: The Indianmeal moth was reared
under standardized conditions on an artificial diet, a wheat bran diet developed
in this study and adopted for our standard rearing program. The wheat germ diet
is being used to identify the nutrients required by this moth for optimal
growth. Conventional methodology is being used to isolate the nutrients of
interest. The performances of the nutrients were bioassayed by comparison of
larval growth curves on test diets with those on a standardized rearing diet.
We have developed three artificial diets for the Indianmeal moth, all of which
contain only cereal products, whose nutrients have been identified and
quantified. Each diet has unique characteristics that make it ideally suited for
answering specific questions about the nutritional requirements of the
Indianmeal moth.
For example, one question was: What are the effects of varying the water content
in the wheat germ diet? We found that in the absence of added glycerol, dietary
water content never exceeded 17.5%, even when equilibrated in an atmosphere at
85% RH. Incorporating glycerol into the diet increased its ability to absorb
moisture from the air and thus increased its dietary water content to levels
that approached 30 % at 85% RH. When dietary moisture content was less than 10%,
larval growth was extremely slow, but was increased significantly by adding
simple sugars and glycerol. Larval growth and size were maximum when the dietary
water content was 19% and the dietary glycerol/sugar content was 40%. When
dietary water content exceeded 25%, only half as much dietary glycerol/sugar was
needed for maximum growth. This observation suggests that generation of
metabolic water by the larvae may be an important utilization of high dietary
glycerol/sugar, in addition to our initial speculation that they provide energy.
Another question was: Why don’t Kellogg’s corn flakes support growth and
development of the Indianmeal moth? We found that supplementing corn flakes with
glycerol/sugar was ineffective unless we added Brewer’s yeast as well. Wheat
germ oil, which provides phytosterols, vitamin E and linoleic acid, increased
growth rate and larval size even more, achieving levels comparable to our
standardized control diet. However, the most critical element for growth and
development was provided by Brewer’s yeast. We are currently fractionating yeast
to isolate and identify the vital factor(s) essential for Indianmeal moth
development. At this point, we have concluded that corn flakes do not support
larval development, because water, simple sugar, wheat germ oil components, and
brewer’s yeast component(s) are absent or present at low levels in this
processed product.
Plans for 2003: We plan to isolate and identify the growth factor(s) in
brewer’s yeast that are critical for Indianmeal moth growth on corn flakes.
Publications:
Silhacek, D., C. Murphy and R.T. Arbogast. 2003. Behavior and movements of
Indianmeal moths during commodity infestation. Journal of Stored Products
Research 39:171-184.
Magazine Articles:
Anon. 2003. Scientists try to stop cereal killer. Agricultural Research
51(3):10-11.
Impacts: The impact of this research is to
minimize and, in some applications, eliminate the use of pesticides for the
protection of cereal products whether in storage or in the marketing channels.
We propose to accomplish this by either slowing or eliminating the growth and
development of one target pest, the Indianmeal moth. Some processed products in
the market place do not support the growth and development of this moth. We plan
to identify the missing nutrient(s), so that this nutrient omission can be
incorporated into other cereal products, protecting them from moth infestation.
Funding Sources:
U. S. Department of Agriculture, Agricultural Research Service
Contacts:
Don L. Silhacek,
Center for Medical, Agricultural and Veterinary Entomology, ARS, USDA; Phone:
352-374-5758; e-mail: dsilhacek@gainesville.usda.ufl.edu
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Contents
NC-213 Progress
Report for 2002
From: USDA, ARS
Center for Medical, Agricultural and Veterinary Entomology
Gainesville, Florida
NC-213 Objective:
B
Procedure: 2
By:
Arbogast, R.T.
Kendra, P.E.
Chini, S.R.
Project Objectives: To
develop trapping and contour analysis of trap catch as a method of monitoring
stored product insect pests in warehouses, processing plants, and retail stores,
and locating foci of infestation. Our specific objective during 2002 was to
determine the relationship between trap catch and distance from a source of
infestation by experimenting with representative stored-product insects.
Title: Cigarette beetle, Lasioderma
serricorne (Fabricius): Spatial relationship between trap catch and distance
from an infested product.
Results for
2002: Contours of trap catch (Trécé dome traps baited with
cigarette beetle pheromone lures and a food attractant oil) 6, 24, and 48 h
after beetles were released at one of three points in a 3.2 x 9.0-m shed (Fig.
1) tracked the dispersal of beetles from the release points (sources of
infestation). Intuitively, we would expect numbers captured at a fixed point in
time to increase with proximity to a source of infestation. We would also expect
numbers captured at a fixed distance from a source to increase with time. The
temporal changes in contour pattern observed with all three release points were
consistent with these expectations. As the beetles dispersed and total trap
catch increased, the outlying traps captured more insects, but cumulative trap
catch remained highest near the release point. This pattern of change in
consecutive contour maps simulates temporal changes in contour pattern that have
been observed in retail stores with infested products. The number of beetles (n)
that had been captured by any trap 6, 24, or 48 h after release declined as an
exponential decay function of distance (d) from the source of infestation: n =
ae-bx, where a is the theoretical number of insects captured at the source of
infestation and b is the instantaneous rate of change in numbers captured with
distance from the source (Fig. 2). The results support the validity of contour
mapping as a method of monitoring stored-product insects and locating foci of
infestation.

Fig. 1. Contour maps illustrating dispersal of L.
serricorne from a source of infestation (indicated by open dot). Contours show
mean numbers captured 6, 24, and 48 hours (left to right) after the beetles were
released. The solid dots indicate trap locations.

Fig. 2. Relationship between mean
number of beetles per trap and distance of the trap from a source of infestation
(point of release) after 48 hours. Combined data for all three points of
release. The number of counts in each mean ranged from 5 to 20.
Plans for 2003: Determine the
spatial relationship between trap catch and distance from an infested product
displayed by stored-product moths.
Publications:
Arbogast, R.T., P.E. Kendra, R.W. Mankin and R.C. McDonald.
2002. Insect infestation of a botanicals warehouse in north central Florida.
Journal of Stored Products Research 38: 349-363.
Arbogast, R.T., P.E. Kendra
and R.C. McDonald. 2002. Infestation of a botanicals warehouse by Plodia
interpunctella and Ephestia elutella (Lepidoptera: Pyralidae). Entomological
News 113: 41-49.
Although
these publications report infestation of stored botanicals rather than cereal
products, the pest insects are the same, and the trapping and spatial analyses
used would be just as applicable to warehouses containing cereal products.
Impacts: A combination of
trapping and spatial analysis of trap catch by contour mapping has shown promise
as a reliable and practical method of monitoring stored product pests. The value
of the method lies in its ability to locate as well as detect infestation and in
the utility of contour maps for documentation and communication. The maps
provide easily understood evidence of infestation and the effectiveness of
control intervention. They are thus of value in communicating insect problems to
managers and to maintenance, sanitation, and pest control personnel. However,
determining the relationship between trap catch and proximity to a focus of
infestation is still needed to better establish the validity of the method and
to further enhance its usefulness. Experiments, such as those described in the
current report, will meet these needs.
Funding Sources:
U. S. Department of Agriculture, Agricultural Research
Service
Contacts:
Richard T. Arbogast,
Center for Medical, Agricultural and Veterinary Entomology, ARS, USDA; Phone:
352-374-5719; e-mail: tarbogast@gainesville.usda.ufl.edu
Return to Table of
Contents
NC-213 Progress
Report for 2002
From: Montana State
University-Bozeman
Department of Entomology1
Plant Sciences2
University of Nebraska
Department of Food Science
By:
Dunkel, F.V. 1
Broughton, M. 1
Talbert, L. 2
Bruckner, P. 2
Habernicht, D. 2
Bullerman, L. 3
NC-Objective:
B
Procedure: 2a
Project Objectives: Evaluate
resistance of Northern Great Plains-grown hard red spring, hard red winter, hard
white, and soft white wheat varieties to Montana strains of storage insects. (In
2002-3, this project will also address NC 213 Objective A, specifically to
determine the effects of genetic traits, climatic factors, and agronomic
practices on the quality of cereals, that is, the ability of hard wheat
varieties to resist insect attack during long-term storage.)
Results for 2002: Our study
this year tested the hypothesis that the post harvest insect resistance we
previously discovered in hard spring and winter wheat of the Northern Great
Plains was, in some varieties, a factor associated with the pericarp and not the
endosperm and this factor was expressed independent of location or cultural
practices used. We tested our hypothesis focused primarily on Montana-grown hard
spring wheat varieties (‘Ernest’, Mt 9433 (now released as ‘Scholar’),
‘Hi-Line’, ‘McNeal’, ‘Newana’, ‘Amidon’, and ‘Reeder’) and to a lesser degree,
due to time constraints, on Montana-grown hard winter wheats (‘Nuwest’, ‘Tiber’,
‘Rocky’, ‘Redwin’, ‘Vanguard’, and ‘Neeley’). For a sensitive control, we used
the Montana-grown soft white wheat, ‘Penawawa’.
Using a rapid, intensive
feeding bioassay (frass production), we found no significant difference in
resistance to the lesser grain borer, Rhyzopertha dominica, among sound kernels
of hard red wheat, comparing all locations and cultural conditions (irrigated
versus dry land production) (Table 1). In comparisons within variety, only
Amidon showed significant differences in resisting adult R. dominica feeding
activity between sites and cultural conditions (Table 1). The significantly most
resistant samples as indicated by lowest feeding activity (measured by lowest
frass production) was Amidon produced at Moccasin under dry land conditions and
Amidon produced at Huntley under irrigated conditions. As with previous studies
done in our laboratory with crop years 1997 and 1998 from the Bozeman
(irrigated) location (Watts and Dunkel 2003), sound kernels of all hard wheat
varieties were attacked. The relative sensitivity of Ernest, however, was not as
marked with this new assay system and new crop year.
When sub samples of these
varieties from the same locations and cultural conditions as the previous test
were first subjected to a heavy infestation of Plodia interpunctella and then to
the same age adult R. dominica, damage was significantly greater. Each kernel
chosen for this test had been damaged by P. interpunctella larvae to a category
5. Using the kernel-damage-due-to-Plodia interpunctella-feeding indices, each
kernel damaged to a level 5 had “germ totally eaten, looks as if sliced off with
a knife, endosperm is fully exposed behind the germ.” This collaborative damage
caused the feeding damage by R. dominica to increase 2 to 7.5 fold (as measured
by R. dominica frass production) (Table 2). As with the preliminary studies
reported in 2001, McNeal switched from one of the most resistant varieties to
the most fed upon, once the endosperm was exposed by the larvae of P.
interpunctella. Therefore, we have confirmed that at least one factor conferring
resistance in McNeal is located in the kernel pericarp. It seems, therefore,
that in the pericarp of McNeal there is either a physical or chemical trait that
confers resistance to attack by the lesser grain borer.
We then conducted a more
extensive series of tests of sensitivity of these hard wheat varieties to the
Indian meal moth, Plodia interpunctella. In the first set of tests, we compared
dry weight loss and individual kernel damage during the entire larval period
(from hatching to 22 da) of one generation. Plodia in contrast to Rhyzopertha
are destructive only during their larval period. P. interpunctella, we found not
only attacks sound hard wheat kernels in a different way than R. dominica, but
also was resisted by a somewhat different set of varieties than was R. dominica.
Penawawa, the susceptible control, remained in the group that sustained the
highest dry weight loss but was not significantly different from dry weight loss
of Newana, Amidon, McNeal, Redwin Neeley, Nuwest, Tiber, and Rocky (Table 3).
Only Hi-Line, Scholar, Ernest and Vanguard had significantly less dry weight
loss. Ernest and Scholar also had the lowest percentage of highly damaged
(Category 5) kernels, but there was no significant difference between the hard
wheats ability to resist P. interpunctella feeding damage, only between the
Montana hard wheat varieties and Penawawa, the susceptible control (Table 4).
In the second set of assays
with P. interpunctella, we compared the effect of location and cultural
conditions on the resistance of hard red spring wheat varieties to P.
interpunctella. These assays were conducted for 88 da for a maximum of 4
generations (Tables 5, 6). Both number of larvae, pupae,
and
adults produced per assay vial and level of individual kernel damage were
determined. We confir med our previous year studies that P. interpunctella was
able to attack and reproduce on a diet of only low moisture content, sound
kernels of each of the 7 varieties of hard wheat. Number of larvae produced did
not significantly vary within variety between locations or cultural conditions
(Table 5). With number of adults produced, there were significant differences
between locations. Only with Amidon were there significant differences due to
cultural conditions within location (Table 6). This assay was designed to put a
much greater feeding pressure on the wheat sample than the previous P.
interpunctella assay. Given this population pressure, P. interpunctella went
beyond category 5 feeding, but did not tunnel as R. dominica does. On some
kernels, the entire pericarp was removed and in many kernels, there was some
feeding beyond the pericarp (shallow and deep surface feeding similar to R.
dominica see text insert) and beyond the germ, into the endosperm (but not with
tunneling as R. dominica does, see text insert).
Differences in resistance
detected could be due to chemical (antifeedant or nutrient content)
and/or to physical factors. We
included two of these factors in our screening. In both percentage total protein
and kernel hardness each of the 6 varieties we screened had significant
differences between locations and between cultural conditions within location
(Table 7).
We have acquired
108 total samples from 3 states, Montana, North Dakota, and Nebraska (Table 8).
These included 23 varieties in the classes hard red winter, hard red spring,
hard white wheat and soft white wheat variety (Penawawa) used as a sensitive
control. With some of these varieties, we will be able to compare post harvest
resistance between locations and within location between cultural conditions.
The first stage of determining
the effect of damage from P. interpunctella and R. dominica, separately, on
fungal invasion of hard wheat varieties stored at 15% moisture content (typical
of high-risk areas within an individual storage structure) was completed this
year. Twenty-five samples of sound kernels from crop year 2001, Montana-grown,
hard spring wheat, representing 7 varieties, 4 locations, and two cultural
conditions (same samples as were used for bioassays reported in Tables 1,2, 5,
6, 7) were evaluated for internal fungal infection. Three media were used for
isolation from surface sterilized kernels: Czapeks ID (a selective fungicide)
for Fusarium; DG-18 (with 18% glycerol and chloramphenicol to lower water
activity and favor fungi tolerant of dryer conditions); and DRBC (DiChloranRose
Bengal). One hundred kernels per sample per medium were incubated for two weeks.
Samples from the Bozeman location were least infected, highest infection rate
was 27%. All other samples had 50 to 100% of kernels internally infected with
fungi, most were high moisture content field fungi, e.g., primarily Alternaria,
Cladosporium, with some Fusarium. Storage fungi tolerant of low moisture
conditions, e.g., Penicillium, Aspergillus, Fusarium graminearum were rare.
Plans
for 2003: This project was funded by the Anderson
Foundation for 2002 and 2003. As such the objectives will be to:
1. Determine the role of crop
production location and agronomic practices on the varietal resistance /
sensitivity we observed in pilot studies.
2. Explore
interaction of other destructive insect species in the post harvest community of
low moisture, Northern Great Plains hard wheat.
3.
Determine alpha-amylase inhibitor levels in each of the wheat samples used in
the post harvest varietal insect assays as an example of a biochemical post
harvest resistance factor that may be possible and appropriate to incorporate
into a hard wheat breeding program.
4. Determine (in
collaboration with L. Bullerman, University of Nebraska-Lincoln) the effect of
damage from P. interpunctella and R. dominica, separately, on fungal invasion of
hard wheat varieties stored at 15% moisture content (typical of high-risk areas
within an individual storage structure).
Publications:
Watts, V.M., and F.V. Dunkel. 2003. Post harvest resistance
in hard spring and winter wheat varieties of the Northern Great Plains to the
lesser grain borer (Coleopera: Bostrichidae). Journal of Economic Entomology –
96. (In press.)
Issues: Hard wheat is grown mainly in northern temperate
areas of the world and is considered easy
class
to store due to its resistance to insect attack. Some
alarming recent research results now may negate this statement. Recently, the
lesser grain borer, Rhyzopertha dominica (F.), a southern temperate/tropical
insect that thrives on hard red wheat has been moving north (Fields and Phillips
1995). Rhyzopertha dominica is able to survive Montana conditions, probably due
to its ability to locate refugia (microhabitats with the right conditions for
survival) in or near the grain mass. R. dominica was officially unknown in
Montana before 1987. In 1996, this insect was uncommon. In 2001, R. dominica was
ranked second most frequently encountered insect by elevator operators in
Montana. Unfortunately, wheat varieties are not developed for their ability to
resist post harvest insect attack.
What Was
Done: We found that at low moisture contents typical
of storage situations in the Northern Great Plains, currently popular hard
spring and hard winter wheats are significantly different in their ability to
resist attack by R. dominica. With the assistance of another storage insect now
found in the Northern Great Plains, P. interpunctella, we determined that the
resistant status of one variety (McNeal) can be significantly reversed. The most
interesting result of these “collaborative damage” studies was that we confirmed
degerming by the Indian meal moth significantly reversed the status of the
variety McNeal (but not Hi-Line) from more resistant to the lesser grain borer
to sensitive to the borer. This is interesting from a stored grain management
perspective, now that it has been verified in other crop years and at other
locations. In crop year 2002, McNeal comprised about 40% of the hard red spring
wheat grown in Montana, a 90 fold increase over 2000.
Impacts: Determining factors
responsible for post harvest resistance could be objectives in a breeding
program provided these factors do not affect milling, baking, noodle quality and
other important end-use properties. If global warming is a reality, these
southern insects, R. dominica and P. interpunctella that are moving into the
Northern Great Plains could become even more of a problem in long-term storage.
NC213 scientists could take the lead in developing a hard wheat variety that is
good for very long term storage and thereby enhance the opportunities for
producers to take advantage of fluctuations in the grain market. One variety,
thus far, seems to have some potential in a resistance property that is part of
the pericarp layers.
Funding Sources:
Montana
Agricultural Experiment Station (Dunkel)
Anderson Foundation (Dunkel and Bullerman)
National Institutes of Health:
Initiative for Minority Scientific Development (Watts)
Contacts:
Florence V. Dunkel,
Department of Entomology, Montana State University; Phone: 406-994-5065; Fax:
406-994-6029 and 406-585-5608; e-mail: ueyfd@montana.edu
URL: http://scarab.montana.edu./people/flodunk.htm
Table 1.
Effect of location and cultural conditions on resistance of Montana-grown wheat
varieties to Rhyzopertha dominica from 0-48 hr post adult emergence to 10 da
post inoculation (10 adults1/ 10 sound grain kernels / replicate; 3 replicates
per variety per location per cultural condition)(same experiment as Table 2).
|
Assay Date / CropYear / Mean % Initial Moisture Content |
Variety 6 |
Grand Mean1,3 Frass Produced by
Variety |
Mean1,2 Frass Produced per Assay Vial
(mg) | |||
|
|
|
|
Moccasin Site
(or other as indicated) Dry
land |
Huntley
Site |
Bozeman
Site Irrigated | |
|
|
|
|
Irrigated |
Dry
land | ||
|
2 Jan
03/ 1999 /
11.31 |
Penawawa (Susceptible Control)/ Big
Sandy |
- 4 |
- 5 |
- 4 |
- 4 |
- 4 |
|
2 Jan
03/ 2001 /
11.28 |
Penawawa (Susceptible ContArol)/ Big
Sandy |
- 4 |
- 5 |
- 4 |
- 4 |
- 4 |
|
17 Dec
02/2001/ 9.31 |
Hi-Line |
4.24A |
6.47A(A) |
1.93A(A) * |
4.83A(A) * |
3.73A(A) * |
|
17 Dec
02/2001/ 9.44 |
Newana |
3.32A |
3.83A(A) * |
2.03A(A) * |
4.40A(A) * |
3.00A(A) * |
|
17 Dec
02/2001/ 9.50 |
Amidon |
3.67A |
1.43B(A) * |
2.40B(A) * |
5.97A(A) * |
4.87A(A) * |
|
17
Dec02/2001/ 9.34 |
McNeal |
3.10A |
2.43A(A) * |
2.87A(A) * |
3.33A(A) * |
3.77A(A) * |
|
17 Dec
02/2001/ 9.33 |
Scholar |
2.49A |
3.67A(A) |
2.13A(A) * |
2.83A(A) * |
1.33A(A) * |
|
17 Dec
02/2001/ 9.48 |
Ernest |
3.60A |
4.13A(A) * |
3.57A(A) * |
3.67A(A) * |
3.03A(A) * * |
|
17 Dec 02/2001/ 9.60 |
Reeder |
- 4 |
- 4 |
- 4 |
- 4 |
1.37(A) |
1 During this
short, intensive feeding assay, there was 100% survival in all
varieties/locations/cultural conditions.
2 Means followed
by the same letter in a row are not significantly different at the 5% level
(Student-Newman-Keuls grouping used for comparison of means following ANOVA).
Letter in ( ) is from grand comparison of means from all varieties, all
locations and all cultural conditions.
3 Means followed
by the same letter in column within an assay date are not significantly
different at the 5% level (Student-Newman-Keuls grouping used for comparison of
means following ANOVA). Mean of the 4 different growth conditions summed.
Comparison made between varieties.
4 Penawawa was only
grown at the Big Sandy site and Reeder was only grown at the Bozeman site.
5 These data will be available 13 January 2003.
6 Percentage Total Protein and Kernel Hardness analyses for
these samples are reported in Table 7.
class=Section6>
*This mean was
significantly increased (see Table 2) if R. dominica from the same cohort were
given identical kernels, but with the germ sliced off (damage category 5) by P.
interpunctella.
Table 2. Effect of location and cultural conditions on
resistance of Montana-grown wheat varieties previously damaged by Plodia
interpunctella1 to Rhyzopertha dominica from 0-48 hr post adult emergence to 10
da post inoculation (10 adults2/ 10 sound grain kernels / replicate; 4
replicates per variety per location per cultural condition)(same experiment as
Table 1).
|
Assay Date
/ Crop Year
/ Mean %
Initial Moisture
Content |
Variety7 |
Grand Mean1,6 Frass Produced by
Variety |
Mean1,2,3 R. dominica Frass
Produced per assay vial (mg) |
| |||||
|
|
|
|
Moccasin
Site (or other as
indicated) Dry
land |
Huntley
Site |
Bozeman
Site Irrigated | ||||
|
|
|
|
Irrigated |
Dry
land | |||||
|
17 Dec
02/ 1999 /
11.31 |
Penawawa3 (Susceptible Control)/ Big
Sandy |
-----4 |
-----5 |
-----4 |
-----4 |
-----4 |
|
|
|
|
17 Dec
02/ 2001 /
11.28 |
Penawawa3 (Susceptible Control)/ Big
Sandy |
-----4 |
-----5 |
-----4 |
-----4 |
-----4 |
|
|
|
|
17
Dec 02/2001/ 9.31 |
Hi-Line |
13.8A |
12.5A(BCD) |
14.7A(ABCD) |
15.1A(ABCD) |
12.8A(BCD) |
|
|
|
|
17
Dec 02/2001/ 9.44 |
Newana |
15.7A |
12.3A(BCD) |
15.3A(ABCD) |
21.0A(ABCD) |
14.3A(ABCD) |
|
|
|
|
17
Dec 02/2001/ 9.50 |
Amidon |
11.1A |
9.43A(DE) |
12.2A(BCD) |
11.8A(BCD) |
11.0A(BCDE) |
|
|
|
|
17
Dec02/2001/ 9.34 |
McNeal |
16.3A |
16.4A(ABCD) |
13.9A(ABCD) |
19.2A(AB) |
15.6A(ABCD) |
|
|
|
|
17 Dec
02/2001/ 9.33 |
Scholar |
11.1A |
5.2C(E) |
14.8A(ABCD) |
14.4A(ABCD) |
10.0B(CDE) |
|
|
|
|
17 Dec
02/2001/ 9.48 |
Ernest |
16.0A |
18.3A(ABC) |
17.2A(ABCD) |
14.4A(ABCD) |
13.9A(ABCD) |
|
|
|
|
17 Dec
02/2001/ 9.60 |
Reeder |
-----4 |
------4 |
-----4 |
-------4 |
16.7(ABCD) |
|
|
|
1 Using the
kernel-damage-due-to-Plodia interpunctella-feeding indices, each of these
kernels were damaged to a level 5 “germ totally eaten, looks as if sliced off
with a knife, endosperm is fully exposed behind the germ.”
2 During this short, intensive feeding assay, there was 100%
survival in all varieties/locations/cultural conditions.
3 Means followed by the same letter in a row are not
significantly different at the 5% level (Student-Newman-Keuls grouping used for
comparison of means following ANOVA). Letter in ( ) is from grand comparison of
means from all varieties, all locations and all cultural conditions.
4 Penawawa was only grown at the Big Sandy site and Reeder
was only grown at the Bozeman site.
5 These data will be
available 13 January 2003.
6 Means followed by the same
letter in this column are not significantly different at the 5% level
(Student-Newman-Keuls grouping used for comparison of means following ANOVA).
Mean of the 4 different growth conditions summed. Comparison made between
varieties.
7 Percentage Total Protein and Kernel Hardness
analyses for these samples are reported in Table 7.
Table
3. Resistance of Montana-grown wheat varieties to Plodia interpunctella from
0-24 hr postoviposition to 22 d (88eggs / 35 grams / replicate; 3 replicates per
variety).
|
Assay Date / Crop Year /
|
Variety
|
Mean1 Percent Moisture Content (" standard deviation) |
Mean1 Percentage Dry Weight Loss 2
| |
|
Before Inoculation |
9 Weeks After Inoculation | |||
|
20 Oct 2000/ 1999 |
Pennewawa (Susceptible Control)
|
8.66 |
9.85 |
7.73AB |
|
|
Hi-Line |
9.30 |
9.41 |
3.76CDE |
|
|
Newana |
9.12 |
9.28 |
5.15BCDE |
|
|
Amidon |
9.11 |
9.40 |
6.69ABCD |
|
|
Scholar |
9.13 |
9.33 |
3.18DE |
|
|
Ernest |
9.36 |
9.50 |
2.20E |
|
|
McNeal |
8.99 |
9.22 |
4.98BCDE |
|
|
Redwin |
9.33 |
9.43 |
6.28BCD |
|
|
Neeley |
9.15 |
9.36 |
8.08AB |
|
|
Nuwest |
8.97 |
9.48 |
9.86A |
|
|
Tiber |
9.10 |
9.32 |
7.04ABC |
|
|
Rocky |
9.32 |
9.35 |
5.92BCD |
|
|
Vanguard |
9.02 |
9.41 |
3.82CDE |
1 Means followed
by the same letter in a column are not significantly different at the 5% level
(Student-Newman-Keuls grouping used for comparison of means following ANOVA).
2 Results for other damage categories available in Table
4.
3 Percentage Total Protein and Kernel Hardness
analyses for these samples were reported in Watts and Dunkel 2003 for the 9 July
99 assay.
Table 4. Damage caused in 22
days by Plodia interpunctella to Montana winter and spring wheat varieties using
a subjective damage index with five categories (88 eggs 0-24 hr postoviposition/
35 g wheat/rep, 3 reps/variety).
|
Assay Date/ Crop Year/ Mean Initial % Moisture Content |
Variety 1 |
Categories of Damage2 (Mean3 Percent Kernels in Each Category)
| ||||
|
1
|
2 |
3 |
4 |
5 | ||
|
20 Oct 2000 / 1999 / 10.64 |
Penawawa (Susceptible Control) |
32.0 B |
1.9 A |
1.4 A |
1.7ABC |
63.0A |
|
|
Hi-Line |
47.3 A |
2.2 A |
1.0 A |
1.7ABC |
20.1B |
|
|
Newana |
76.1 A |
2.7 A |
1.8 A |
3.4 A |
16.0B |
|
|
Amidon |
71.3 A |
2.5 A |
1.5 A |
3.1AB |
21.5B |
|
|
Scholar |
87.2 A |
3.3 A |
0.8 A |
2.0ABC |
6.7B |
|
|
Ernest |
85.8 A |
2.4 A |
1.0 A |
2.2ABC |
8.6B |
|
|
McNeal |
91.6 A |
1.5 A |
4.3 A |
0.5C |
3.3B |
|
|
Redwin |
64.4 A |
3.6 A |
2.5 A |
4.1ABC |
28.1B |
|
|
Neeley |
60.2 A |
1.9 A |
1.1 A |
1.1BC |
35.5B |
|
|
Nuwest |
|
|
|
|
|
|
|
Tiber |
67.7 A |
3.4 A |
2.3 A |
2.0ABC |
24.7B |
|
|
Rocky |
81.2 A |
2.2 A |
0.8 A |
1.0BC |
14.8B |
|
|
Vanguard |
60.2 A |
2.3 A |
1.2 A |
0.1C |
34.9B |
1 Percentage Total Protein and Kernel Hardness analyses for
these samples were reported in Watts and Dunkel 2003 for the 9 July 99 assay.
2 Kernel-damage-due-to-insect-feeding indices: 1= Sound
Kernel (no evidence of insect feeding); 2= Some evidence of surface feeding, for
example, one feeding hole penetrating the pericarp; 3= pericarp over the germ is
still visible, but less than 50% of pericarp over the germ remains; 4= Pericarp
over the germ is still visible, but less than 50% of pericarp over germ remains,
endosperm is clearly exposed; 5= germ totally eaten, looks as if sliced off with
a knife, endosperm is fully exposed.
3 Means followed by
the same letter in a column are not significantly different at the 5% level
(Student-Newman-Keuls grouping used for comparison of means following ANOVA).
Table 5. Resistance of
Montana-grown wheat varieties to Plodia interpunctella and the effect of
location and cultural conditions from 0-24 hr postoviposition to 82 da post
inoculation, possibly three generations depending on variety (88 eggs / 35 g
sound grain kernels / replicate; 4 replicates per variety per location per
cultural condition)(same experiment as Table 6) (45 " 5 % R.H.; 27 " 1 degrees
C).
|
Assay Date
/ Crop Year
/ Mean %
Initial Moisture
Content |
Variety7 |
Grand
Mean1,6 Frass Produced by
Variety |
Mean1,2,3 R. dominica
Frass Produced per assay vial (mg) |
| |||||
|
|
|
|
Moccasin
Site (or other as
indicated) Dry
land |
Huntley Site |
Bozeman
Site Irrigated | ||||
|
|
|
|
Irrigated |
Dry
land | |||||
|
8 Aug. 2002/ 1999
/11.32 |
Penawawa (Susceptible Control)/ Big
Sandy |
-
4 |
0
5 |
-
4 |
-
4 |
-
4 |
|
|
|
|
8 Aug.
2002/ 2001 /
13.14 |
Penawawa (Susceptible Control)/ Big
Sandy |
-
4 |
0.8
5 |
-
4 |
-
4 |
-
4 |
|
|
|
|
9 May 2002
/2001/9.31 |
Hi-Line |
42.1B |
52.5BCD |
30.5CD |
50.0BCD |
35.5CD |
|
|
|
|
9 May
02/2001/ 9.44% |
Newana |
50.2AB |
71.8ABCD |
43.8CD |
57.3BCD |
28.0D |
|
|
|
|
9 May
02/2001/ 9.50% |
Amidon |
47.0AB |
76.5ABCD |
33.0CD |
38.0CD |
40.5CD |
|
|
|
|
9 May 02/2001/ 9.34% |
McNeal |
56.4AB |
75.5ABCD |
39.5CD |
52.8BCD |
57.8BCD |
|
|
|
|
9 May
02/2001/ 9.33% |
Scholar |
48.1AB |
39.5CD |
42.3CD |
39.3CD |
74.3ABCD |
|
|
|
|
9 May 02/2001/ 9.48% |
Ernest |
84.1A |
105A |
53.0BCD |
82.3ABC |
96.0AB |
|
|
|
|
17 Dec
02/2001/ 9.602% |
Reeder |
-
4 |
-
4 |
-
4 |
-
4 |
37.0CD |
|
|
|
1 Percentage Total Protein and Kernel
Hardness analyses for these samples are reported in Table 7.
2 Mean of the 4 different growth conditions/ locations
summed. Each growth condition/ location was a mean of 4. Comparison made between
varieties. Means followed by the same letter in the column are not significantly
different at the 5% level (Student-Newman-Keuls grouping used for comparison of
means following ANOVA)Means used for comparison of means following ANOVA).
3 Means followed by the same letter in the column are not
significantly different at the 5% level (Student-Newman-Keuls grouping used for
comparison of means following ANOVA)Means used for comparison of means following
ANOVA). Letter in ( ) is from grand comparison of means from all varieties, all
locations, and all cultural conditions.
4 Penawawa was
only grown at the Big Sandy site and Reeder was only grown at the Bozeman
site.
5 Because each rep of this grain was over 90%
damaged to category 5 or greater damage, we hypothesized that the food supply
was so depleted by this infestation that intense competition and cannibalism
occurred and hence the low number of larvae surviving the cannibalism.
Table 6. Resistance of
Montana-grown wheat varieties to Plodia interpunctella and the effect of
location and cultural conditions from 0-24 hr postoviposition to 82 da post
inoculation, possibly three generations depending on variety (88 eggs / 35 g
sound grain kernels / replicate; 4 replicates per variety per location per
cultural condition)(same experiment as Table 5) (45 " 5 % R.H.; 27 " 1 degrees
C).
|
Assay Date
/ Crop Year
/ Mean %
Initial Moisture
Content |
Variety7 |
Grand
Mean1,6 Frass Produced by
Variety |
Mean1,2,3 R. dominica
Frass Produced per assay vial (mg) |
| |||||
|
|
|
|
Moccasin
Site (or other as
indicated) Dry
land |
Huntley
Site |
Bozeman
Site Irrigated | ||||
|
|
|
|
Irrigated |
Dry
land | |||||
|
8 Aug.
2002/ 1999 /
11.32 |
Penawawa (Susceptible Control)/ Big
Sandy |
-
4 |
0
5 |
-
4 |
-
4 |
-
4 |
|
|
|
|
8 Aug.
2002/ 2001 /
13.14 |
Penawawa (Susceptible Control)/ Big
Sandy |
-
4 |
0.8
5 |
-
4 |
-
4 |
-
4 |
|
|
|
|
9 May 2002
/2001/9.31 |
Hi-Line |
13.25A |
14.25(ABCDE) |
4.50(E) |
12.75(ABCDE) |
21.50(A) |
|
|
|
|
9 May 2002 /2001
/9.44 |
Newana |
11.69A |
13.50(ABCDE) |
9.75(BCDE) |
16.00(ABCDE) |
7.50(CDE) |
|
|
|
|
9 May 2002
/2001/9.50 |
Amidon |
10.0A |
7.25(CDE) |
7.00(CDE) |
19.75(AB) |
6.00(E) |
|
|
|
|
9 May 2002/
2001/9.34 |
McNeal |
6.88A |
9.75(BCDE) |
5.50(E) |
5.75(E) |
6.50(DE) |
|
|
|
|
9 May 2002
/2001/9.33 |
Scholar |
11.36A |
12.75(ABCDE) |
9.20(BCDE) |
18.25(ABCD) |
5.25(E) |
|
|
|
|
9 May 2002/
2001/9.48 |
Ernest |
11.56A |
18.50(ABC) |
6.25(E) |
12.00(ABCDE) |
9.50(BCDE) |
|
|
|
|
9 May 2002
/2001/9.62 |
Reeder |
-
4 |
-
4 |
-
4 |
-
4 |
10.75(ABCDE) |
|
|
|
1 Percentage
Total Protein and Kernel Hardness analyses for these samples are reported in
Table 7.
2 Means followed by the same letter in a row
within an assay date are not significantly different at the 5% level
(Student-Newman-Keuls grouping used for comparison of means following ANOVA).
Letter in ( ) is from grand comparison of means from all locations and cultural
conditions.
3 Mean of the 4 different location / growth
conditions summed. Each location / growth condition was a mean of 4 also.
Comparison made between varieties.
4 Penawawa was
only grown at the Big Sandy site and Reeder was only grown at the Bozeman
site.
5 Because each rep of this grain was over 90%
damaged to category 5 or greater damage, we hypothesized that the food supply
was so depleted by this infestation that intense competition and cannibalism
occurred and hence the low number of larvae surviving to adulthood
Table 7. Percentage total protein1 and kernel1 hardness of
Montana-grown wheat varieties used in resistance studies with Rhyzopertha
dominica and Plodia interpunctella (100 sound grain kernels / hardness
determination).
|
Assay Date
/ Crop Year
/ Mean %
Initial Moisture
Content |
Variety7 |
Grand
Mean1,6 Frass Produced by
Variety |
Mean1,2,3 R. dominica
Frass Produced per assay vial (mg) |
| |||||
|
|
|
|
Moccasin
Site (or other as
indicated) Dry
land |
Huntley
Site |
Bozeman
Site Irrigated | ||||
|
|
|
|
Irrigated |
Dry
land | |||||
|
1999 |
Penawawa (Susceptible Control)/ Big
Sandy |
-
4 |
12.03M
/ 34.00N |
-
4 |
-
4 |
-
4 |
|
|
|
|
2001 |
Penawawa (Susceptible Control)/ Big
Sandy |
-
4 |
10.92N
/ 26.93O |
-
4 |
-
4 |
-
4 |
|
|
|
|
2001 |
Hi-Line |
15.74A /
80.35A |
17.27B
/ 88.72CDE |
14.57J
/ 81.38FGH |
17.27B
/ 66.51LM |
13.83K
/ 84.77EF |
|
|
|
|
2001 |
Newana |
14.52A /
80.40A |
15.50DEFG
/ 94.03AB |
13.23L
/ 81.60FGH |
15.67DE
/ 64.63M |
13.67K
/ 81.35FGH |
|
|
|
|
2001 |
Amidon |
14.93A /
85.99A |
15.57DEF
/ 94.57AB |
13.87K
/ 84.54EFG |
15.50DEFG
/ 75.73JK |
14.77I
/ 89.10CD |
|
|
|
|
2001 |
McNeal |
14.91A /
89.39A |
16.50C
/ 97.34A |
13.23L
/ 85.94DEF |
14.47J
/ 84.51EFG |
15.43EFG
/ 89.65CD |
|
|
|
|
2001 |
Scholar |
15.45A /
83.47A |
17.60A
/ 92.44BC |
13.17L
/ 75.33JK |
15.73D
/ 77.10IJK |
15.30GH
/ 89.01CD |
|
|
|
|
2001 |
Ernest |
15.41A /
75.68A |
17.30B
/ 80.17GHI |
13.73K
/ 73.54K |
15.20H
/ 69.71L |
15.40FG
/ 79.29HIJ |
|
|
|
|
2001 |
Reeder |
-
4 |
-
4 |
-
4 |
-
4 |
15.50DEFG /
66.54LM |
|
|
|
1 Total protein
determinations were obtained with an Infratec 1225 NIR (3 reps per sample);
Kernel hardness was obtained with a Perten single kernel hardness instrument (3
reps of 100 kernels each).
2 Means followed by the same
letter in grand comparison of means from all locations and cultural
conditions are not significantly different at the 5% level (Student-Newman-Keuls
grouping used for comparison of means following ANOVA).
3
Means followed by the same letter in this column date are not significantly
different at the 5% level (Student-Newman-Keuls grouping used for comparison of
means following ANOVA). Mean of the 4 different growth conditions summed.
Comparison made between varieties, all locations and growth conditions
combined.
4 Penawawa was only grown at the Big
Sandy site and Reeder was only grown at the Bozeman site.
Table. 8 (Next Page). Grain
samples acquired as of 31 December 2002 for Anderson Project Post harvest Insect
Resistance Project.
|
State |
Location |
Crop Year |
Variety |
Cultural Condition | ||||||||||||||||||||||
|
|
|
|
Alliance |
Alsen |
Amidon |
Big Sky |
Culver |
Ernest |
Grandin |
Hi-Line |
McNeal |
Millennium |
Neeley |
Newana |
Nuwest |
Oxen |
Parshall |
Penawawa |
Reeder |
Rocky |
Russ |
Scholar |
Tiber |
Vanguard |
Wahoo |
|
|
North Dakota |
Williston |
2001 |
|
X |
X |
|
|
X |
|
|
|
|
|
|
|
|
X |
|
X |
|
X |
|
|
|
|
dry land |
|
Heddinger |
2001 |
|
X |
|
|
|
|
|
|
|
|
|
|
|
|
X |
|
X |
|
X |
|
|
|
|
dry land | |
|
Fargo |
2001 |
|
X |
|
|
|
X |
X |
|
|
|
|
|
|
X |
X |
|
X |
|
|
|
|
|
|
dry land | |
|
Nebraska |
Lincoln |
2001 |
X |
|
|
|
X |
|
|
|
|
X |
|
|
|
|
|
|
|
|
|
|
|
|
X |
dry land |
|
Aliance |
|
X |
|
|
|
X |
|
|
|
|
X |
|
|
|
|
|
|
|
|
|
|
|
|
X |
dry land | |
|
Mead |
|
X |
|
|
|
X |
|
|
|
|
X |
|
|
|
|
|
|
|
|
|
|
|
|
X |
dry land | |
|
Clay Center |
|
X |
|
|
|
X |
|
|
|
|
X |
|
|
|
|
|
|
|
|
|
|
|
|
X |
dry land | |
|
Montana |
||||||||||||||||||||||||||