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2 edition of Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis found in the catalog.

Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis

Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis

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Published by Agricultural Research Service (Southern Region), U.S. Dept. of Agriculture, Available from Stored-Product Insects Research and Development Laboratory in New Orleans, La, Savannah, Ga .
Written in English

    Subjects:
  • Insect pests -- Control.,
  • Wheat -- Diseases and pests -- United States.

  • Edition Notes

    SeriesAdvances in agricultural technology -- 26.
    ContributionsUnited States. Agricultural Research Service. Southern Region.
    The Physical Object
    FormatMicroform
    Paginationiii, 8 p.
    ID Numbers
    Open LibraryOL15579801M

    Levels of insect infestation, insect spatial distribution, and the relationship between the number of insect-damaged kernels (IDK) and the number of insects present in grain samples in three-hopper railcars transporting wheat from country elevators to a mill were studied. Six of eight sampled railcars were infested with more than two species of insects. Insect-detection devices used to trap insects consist of probes, or plastic tubes perforated with small holes that exclude grain kernels but allow insects to drop into, but not to escape from, the trap (Fig. 3). Traps are generally not used in oilseeds where insects are usually not a problem. As a monitoring device, traps can detect infestations. Carbon dioxide Red flour beetle (second prototype) could distinguish between a sample with three live insects per pound and an uninfested sample of stored food products. The detector could not differentiate between no Infestation and one insect in 5-pound packaged can - modities or a 1-pound sample of whole grain. The length of time necessary to.


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Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis Download PDF EPUB FB2

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Get this from a library. Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis. [United States. Agricultural Research Service.

Southern Region.;]. Automated Nondestructive Detection of Internal Insect Infestation of Wheat Kernels by Using Near-Infrared Reflectance Spectroscopy Article (PDF Available) in Journal of Economic Entomology 91(4. Detection of external and internal insect infestation in wheat by near-infrared reflectance spectroscopy.

Journal of the Science of Food and Agricult –   W.A. Bruce, W.M. Street, R.C. Semper, D. Fulk, Detection of Hidden Insect Infestations in Wheat by Infrared Carbon Dioxide Gas Analysis, ARS bulletin AAT-S, July Google Scholar [15]Cited by:   "Detection of Hidden Insect Infestations in Wheat by Infrared Carbon Dioxide Gas Analysis" By William A.

Bruce et al, U.S. Department of Agriculture, AAT-S/Jul., Primary Examiner: GABOR, OTILIA. Attorney, Agent or Firm: MICHAEL E MAUNEY (ATTORNEY AT LAW P O BOXSOUTHPORT, NC,US).

detection of internal insect infestation of wheat kernels by using near- infrared spectroscopy, ” Journal of Economic Entomology, vol. 91(4), pp. –,   1. Introduction. About 10–30% of grains produced worldwide are lost every year due to insect and rodent damage (White, a).Canada, which is the sixth largest wheat producing country and ranks among the largest exporters in the world with 27 million tonnes (Mt) average annual production and 15 Mt annual export (), loses significant amount of grain due to stored-product insects and.

“Detection of hidden insect infestations in wheat by. infrared carbon dioxide gas analysis, This instrument was designed to detect internal insect infestations in wheat that has a moisture. 21 The new approach achieved classification accuracies in paired separation of undamaged wheat from insect damaged Detection of Hidden Insect Infestations in Wheat by Infrared Carbon Dioxide Gas Analysis, ARS bulletin AAT-S, July Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis.

Agriculture Research Service, no. AAT S, USDA, Washington DC. Google Scholar. W.A. Bruce, M.W. Streeg, R.C. Semper, D. FulkDetection of Hidden Insect Infestations in Wheat by Infrared Carbon Dioxide Gas Analysis, Agricultural Research Service (Southern Region) U.S.

Department of Agriculture, New Orleans (LA) () Google Scholar. Detection of insect infestation in stored food grains can be done through visual inspection.

It is a uniform, qualitative and subjective method, used as a standard method for comparison of quantitative methods (Semple, ).Presence of eggs, adult insects, and infested grains can be seen by the naked eye without drawing grain samples or looking for residual infestation within the storage.

measurement of uric acid. Cereal Chem. POTTER, G. C, and SHELLENBERGER, J. The detection of insect contaminates in cereals by a spectrophotometric. Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis D Fulk; W.A.

Bruce, M.W. Street, R.C. Semper, and D. Fulk, "Detection of hidden insect infestations in. Detection of internal insects in wheat using a conductive roller mill of the methods available for estimating internal insect infestations in wheat include crack and flotation test, immunoassay biochem-ical test, X-ray analysis, and near-infrared reflectance spectroscopy (NIR) analysis which have been overviewed by Brader et al.

try level to detect insects in grain samples as their usefulness has been demonstrated in the research laboratories. Researchers have devel-oped image analysis programs to automatically scan X-ray images to detect insect infestations. The use of near-infrared (NIR) spectroscopy has been investigated to detect hidden insects in wheat kernels.

Acoustic detection, carbon dioxide measurement, uric acid measurement, near-infrared spectroscopy, and soft X-ray method have the potential for use at the industry level to detect insects in grain samples as their usefulness has been demonstrated in the research laboratories.

() detected hidden internal insect infestations in wheat. ISOCereals and pulses-Determination of hidden insect infestation ISOCereals-Sampling (as grain). ISOPulses in bags-Sampling. ISOCereals and pulses-Determination of hidden insect infestation.

Part 1: General principles.) Part 3: Reference method.) Part 4: Rapid methods.). detection of internal insect infestation of wheat kernels by using near- infrared spectroscopy’, J. Econ. Entomol.,91, (4), pp.

– 5 Stermer, R.A.: ‘Automated x-ray inspection of grain for insect. W.A. Bruce. Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis. ARS Bull. 5) R.A. Stermer. Automated x-ray inspection of grain for insect infestation. Trans.

ASAE., - 6) A.P. Bradley. The use of the area under the ROC curve in the evaluation of machine learning algorithms.

permitted a much earlier detection of the hidden infestation after Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis. USDA, Advances in Agricultural Technology, South. Series Goossens, A method for staining insect egg plugs in wheat. In contrast, the electrical conductance of wheat kernels infested with live insects is substantially higher, depending on the size of the larvae and the resulting contact of the crushed larvae between the rolls.

This instrument was designed to detect internal insect infestations in wheat. Detection of Hidden Insect Infestations in Wheat by Infrared Carbon Dioxide Gas Analysis. U.S. Department Of Agriculture, Agri- cultural Research Service. AAT-S U S. Government Printing Office: Washington, DC.

CHAMBERS, J. Recent development in techniques for the detection of insect pests of stored products. infrared measurements (Dowell et al., ), and X‐ray imaging (Karunakaran et al., ; Fornal et al., ). Single kernel methods and X‐ray methods can detect infested wheat fairly well, but the sample size is small and the equipment rather expensive.

Detection of insect‐infested wheat is a particularly difficult problem because. The comparison of five determination methods for hidden insect infestation Hau Xmgwei, Tan Xianchang and Wu Jianchun' Abstract Five determmation methods for ludden msect infestation m cereals and pulses, reanng method, nmhydrin method, X-ray method, carbon dioxide method, and whole gram flotation method, were evaluated.

Tests included four insect. CO 2-EVOKED BEHAVIORS. Carbon dioxide is a byproduct of cellular respiration, which means animals constantly release it into the environment as waste. Plants, on the other hand, take up CO 2 from the environment and fix its carbon atoms as carbohydrates via photosynthesis, acting as CO 2 sinks.

Thus, a given CO 2 concentration encountered in the environment can have vastly different. Milner et al,"Application of X-ray Techniques to the Detection of Internal Insect Infestation of Grain", J.

of Econ. Entomol. Bruce et al,"Detection of Hidden Insect Infestations in Wheat by Infrared Carbon Dioxide Gas Analysis", Advanced in AGric. Tech., South Series, No. 26, USDA, Near-infrared spectroscopy (NIR) in the reflectance mode was investigated for the rapid, automatic and non-destructive detection of insect stored-grain pests external or internal to wheat kernels.

Convincing calibration performance was obtained for external adult Oryzaephilus surinamensis in unmilled samples including varieties Beaver (soft wheat) and Mercia (hard wheat) at 2 moisture contents. The carbon dioxide concentration fell rapidly but rose again in March, presumably due to the increased grain water content and the respiration of micro-organisms.

Inconditions became suitable for insect activities in April, and by May an infestation had started, this time predominantly C. granaria. distribution of protein and carbohydrates throughout the wheat grains and the Carbon, Phosphorous, and Potassium contents spiraled up by 4%, 2% and 1% respectively.

Infestation also led to weight loss of % and changes in the chemical structure and composition of wheat grain. Keywords: Wheat, insect infestation, ca. Introduction. A possible method that may be used to detect insects in grain is acoustic detection (insect movement and feeding sounds are detected with highly amplified microphones in grain), reported by (Hagstrum, ).

Among other alternative methods reported are nuclear magnetic resonance spectroscopy (NMR) (Chambers et al., ). Detection of carbon dioxide or uric acid produced by the internally feeding insects Chambers J () Detection of external and internal insect infestation in wheat by near-infrared reflectance spectroscopy.

Detection of wheat kernels with hidden insect infestations with an electrically conductive roller mill. Appl Eng Agric 23(5):   A laboratory milling device for improving stored grain management has been developed by agricultural scientists.

The system, called the "insect-o-graph," can detect internal insects in wheat. STORED-PRODUCT Detection of Stored-Grain Insect Infestation in Wheat Transported in Railroad Hopper-Cars JOEL PEREZ-MENDOZA,1 PAUL W.

FLINN, JAMES F. CAMPBELL, DAVID W. HAGSTRUM, AND JAMES E. THRONE USDAÐARS Grain Marketing and Production Research Center, College Avenue, Manhattan KS Abstract. Wheat kernels infested internally with larvae of 3 primary insect pests of grain, the rice weevil, Sitophilus oryzae (L.); the lesser grain borer, Rhyzopertha dominica (F.); and the Angoumois grain moth, Sitotroga cerealella (Olivier), were scanned with a near-infrared spectrometer incorporated into a single kernel characterization system to determine differences in absorption due to.

Detection of hidden insect infestations in wheat by infrared carbon dioxide gas analysis. View Metadata. By: United States. Agricultural Research Service. Southern Region. Publication info: New Orleans, La.:Agricultural Research Service (Southern Region), U.S.

Dept. of Agriculture ;[]. insects, while incubation of the same wheat samples over 3 to 6 weeks showed 16% insect infestation (Storey et al., ).

Other detection techniques include: (a) selective fluorescent stains (Milner et al., a), (b) x-ray inspection (Milner et al., b; Schatzki and Fine.

aerial photography was used in detecting cotton root rot [Taubenhaus et. al., ]. The use of infrared photographs was first reported in determining the prevalence of certain cereal crop diseases [Colwell, ]. In the early s, Toler, et al., [] used aerial colour infrared photography to detect root rot of cotton and wheat stem rust.

Levels of insect infestation, insect spatial distribution, and the relationship between the number of insect-damaged kernels (IDK) and the number of insects present in grain samples in three-hopper railcars transporting wheat from country elevators to a mill were studied.

Six of eight sampled railcars were infested with more than two species of insects. The most abundant species collected. Rapid detection is necessary for monitoring early infestation by insects of stored wheat grain and indicating the need for fumigation.

This study investigated a potential new method, solid phase microextraction (SPME), for detecting insect infestations in stored wheat. It is a technique for isolation of volatile compounds in the headspace.Cereal leaf beetle • Most of the pest insects within this family are beetles that infest grain, other than the cereal leaf beetle • Originating in Europe.

• First reported in Michigan in early ’s. • Host plants include barley, oats, wheat, corn, sorghum. • Established from NC to WA • Beetles overwinter near woodlands or where protection from wind.Insect fragments in flour: relationship to lesser grain borer (Coleoptera: Bostrichidae) infestation level in wheat and rapid detection using near-infrared spectroscopy.

Perez-Mendoza J(1), Throne JE, Maghirang EB, Dowell FE, Baker JE. Author information: (1)Department of Entomology, Montana State University, Bozeman, MTUSA.