1) making effective use of existing data on health and production parameters on the animal and herd level to allow a risk based surveillance approach and
2) by increasing the sensitivity of the surveillance system by validating and improving the diagnostic procedures for screening of pooled bulk milk samples and
3) optimizing the performance of the surveillance program to ensure that it is focused on high risk animals/herds, can be used for early warning and is cost/effective. Bovine viral diarrhoea (BVD) is used in the project as an example. BVD has been eradicated in the Danish cattle population during the last 15 years. The present surveillance system is based on bulk-milk-analysis which was validated using considerably smaller herds with a higher percentage of antibody positive lactating cows. The present situation where only a few cows may have antibodies need new
considerations of how to collect samples and how to analyse them to have a cost effective and sensitive system.
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