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A method of diagnosing intramammary infection in dairy cows for large experiments

Published online by Cambridge University Press:  01 June 2009

T. K. Griffin
Affiliation:
National Institute for Research in Dairying, Shinfield, Reading, RG2 9AT
F. H. Dodd
Affiliation:
National Institute for Research in Dairying, Shinfield, Reading, RG2 9AT
F. K. Neave
Affiliation:
National Institute for Research in Dairying, Shinfield, Reading, RG2 9AT
D. R. Westgarth
Affiliation:
National Institute for Research in Dairying, Shinfield, Reading, RG2 9AT
R. G. Kingwill
Affiliation:
National Institute for Research in Dairying, Shinfield, Reading, RG2 9AT
C. D. Wilson
Affiliation:
Ministry of Agriculture, Fisheries & Food, Central Veterinary Laboratory, Weybridge, KT15 3NB

Summary

Diagnosis of microbial infections in the udders of cows in commercial dairy farms for large experiments cannot be without error. Limitations of sampling method and routine prevent collection of the necessary information for sure diagnosis. However, with an organized method of repeated bacteriological examinations using consistent and proven methods of aseptic sampling the errors were shown to be very low. A method based on bacteriological tests on aseptic milk samples was used in 32 herds (approximately 2000 cows) for a 3-year period. This is described and examined in terms of other criteria to validate its use in experimental work. With this method it was not difficult to differentiate between those quarters which regularly shed pathogens and those which did not. Other evidence indicated that it was reasonable to assume that this classification accurately distinguished between infected and uninfected quarters. The errors using this method were quite small: when measuring the state of infection of all quarters in the herds the errors did not exceed 1 %. Some small modifications to the method described are suggested to improve further its diagnostic accuracy.

Type
Original Articles
Copyright
Copyright © Proprietors of Journal of Dairy Research 1977

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References

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