Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-24T23:20:38.106Z Has data issue: false hasContentIssue false
  • English
  • Français

The detection and measurement of mite infestation in animal feed using near infra-red reflectance

Published online by Cambridge University Press:  27 March 2009

D. R. Wilkin ,
I. A. Cowe ,
B. B. Thind ,
J. W. McNicol  and
D. C. Cuthbertson
D. R. Wilkin
Affiliation:
Ministry of Agriculture, Fisheries and Food, Slough Laboratory, London Road, Slough, Berkshire
I. A. Cowe
Affiliation:
Scottish Crop Research Institute, Pentlandfield, Roslin, Midlothian, Scotland
B. B. Thind
Affiliation:
Ministry of Agriculture, Fisheries and Food, Slough Laboratory, London Road, Slough, Berkshire
J. W. McNicol
Affiliation:
Scottish Crop Research Institute, Pentlandfield, Roslin, Midlothian, Scotland
D. C. Cuthbertson
Affiliation:
Ministry of Agriculture, Fisheries and Food, Slough Laboratory, London Road, Slough, Berkshire
Get access Rights & Permissions [Opens in a new window]

Summary

Samples of pig feed, infested to various known amounts with Acarus siro L., were scanned using an NIR analyser. Visual inspection of the spectra of infested feed did not indicate the presence of mites, but principal components derived from these spectra were correlated with the number of mites. Examination of the spectrum of Ringer solution, and of principal components for both infested feed samples and for mites scanned in isolation, indicated that in infested samples mite haemolymph caused the absorbance maximum for water to be shifted towards the visible end of the spectrum. Simpler calibration models, of the type used by current commercial NIR analysers, were developed which were able to detect and quantify economically significant levels of mites in infested pig feed.

Type
Research Article
Information
The Journal of Agricultural Science , Volume 107 , Issue 2 , October 1986 , pp. 439 - 448
Copyright
Copyright © Cambridge University Press 1986

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Baker, D. (1983). The determination of fibre in processed cereal foods by near infra-red reflectance spectroscopy. Cereal Chemistry 60, 217–219.Google Scholar
Braude, R., Low, A. G., Mitchell, K. G., Pitman, R. J. & Wilkin, D. R. (1980). Effect of mite infestation (Acarus siro L.) on nutritive value of pig diets. Veterinary Record 106, 35–36.CrossRefGoogle Scholar
Cowe, I. A. & McNicol, J. W. (1985). The use of principal components in the analysis of near-infra-red spectra. Applied Spectroscopy 39 (2), 257–265.CrossRefGoogle Scholar
Cowe, I. A., McNicol, J. W. & Cuthbertson, D. C. (1985 a). A designed experiment for the examination of techniques used in the analysis of near infrared spectra. 1. Analysis of spectral structure. The Analyst 110, 1227–1232.CrossRefGoogle Scholar
Cowe, I. A., McNicol, J. W. & Cuthbertson, D. C. (1985 b). A designed experiment for the examination of techniques used in the analysis of near infrared spectra. 2. Derivation and testing of regression models. The Analyst 110, 1233–1240.CrossRefGoogle Scholar
Cunnington, A. M. (1965). Physical limits for the complete development of the grain mite Acarus siro (Acarina, Acaridae), in relation to its world distribution. Journal of Applied Ecology 2, 295–306.CrossRefGoogle Scholar
Freeman, J. A. (1979). Infestation of grain and feeding stuffs. National Agricultural Advisory Service Quarterly Journal, H.M.S.O., 45, 11–19.Google Scholar
Giesbrecht, F. C., McClure, W. F. & Hamid, A. (1981). The use of trigonometric polynomials to approximate visible and near infrared spectra of agricultural products. Applied Spectroscopy 35, 201–214.CrossRefGoogle Scholar
Hirschfeld, T. & Zeev Hed, A. (1981). The Atlas of Near Infrared Spectra. Stadtler Research Laboratories, Philadelphia, Pennsylvania.Google Scholar
Mardia, K. V., Kent, J. T. & Bibby, J. M. (1979). Multivariate Analysis. London: Academic Press.Google Scholar
Martens, H. & Jensen, S. A. (1983). Partial least squares regression: a new two-stage NIR calibration method. Proceedings of the 1th World Cereal and Bread Congress, Prague, June 1982 (ed. Holas, J. and Kratochvil, J.), pp. 607–647. Amsterdam: Elsevier Publications.Google Scholar
Thind, B. B. & Griffiths, D. A. (1979). Flotation technique for quantitative determination of mite populations in powdered and compacted food stuffs. Journal of the Association of Official Analytical Chemists 62 (2), 278–282.Google Scholar
Thind, B. B. & Wallace, D. J. (1984). A modified flotation technique for quantitative determination of mite population in feed stuffs. Journal of the Association of Official Analytical Chemists 67 (5), 866–868.Google Scholar
Wayman, C. (1969). Insect and mite pests. Chemistry in Industry 41, 1445–1447.Google Scholar
Wilkin, D. R. & Thind, B. B. (1983). Stored product mites – detections and loss assessment in animal feed. Proceedings of the 3rd International Working Conference of Stored Product Entomology, Kansas State University, Mahattan, Kansas.Google Scholar
Williams, G. C. (1960). The infestation of compound feedingstuffs derived from provender mills. Technical Circular, 38, p. 7. Ministry of Agriculture, Fisheries and Food, Infestation Control Laboratory. London: H.M.S.O.Google Scholar
Williams, P. C. (1975). Application of near infrared reflectance spectroscopy to the analysis of cereal grains and oilseeds. Cereal Chemistry 52, 561.Google Scholar
Williams, P. C. & Norris, K. H. (1983). Effects of mutual interactions on the estimation of protein and moisture in wheat. Cereal Chemistry 60, 202–207.Google Scholar