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IT-based selection of dairy cows for selective dry-off
Project
Project code: EIP-Agri-THÜ-2020-LPTTHSKB
Contract period: 01.01.2021
- 31.12.2023
Budget: 313,751 Euro
Purpose of research: Applied research
Keywords: farming practice/activity, animal husbandry, pest/disease control
This project aims at developing and evaluating a data- and IT-based decision-making algorithm for selective dry-off of dairy cows in large herds. The algorithm should be able to use data from different sources which are relevant for the assessment of the cow's individual mastitis risk (somatic cell count, results of bacteriological cultivation, clinical mastitis, herd data). This should enable producers to identify cows for those antibiotic therapy at dry off is essential. Based on the present knowledge, the algorithm should allow the calculation of a risk score for the assessment of the mastitis risk in case of selective dry off. Therefore, a database for storing and processing of information regarding udder health, interfaces for an automatic data transfer and a device-independent user interface that allows manual data input as well should be developed. The algorithm and the software should be tested and refined in five dairy herds with good udder health using a case-control study design and considering the diagnostic value of pathogenicity factors. Results will be presented at meetings and in publications to transfer the knowledge to farmers and veterinarians.
Section overview
Subjects
- Animal health
