Abstract
A site-specific genetic prediction model is presented, which examines the influences of different anthelmintic treatment regimens on selecting for drug resistance within a sheep management system. The model exploits the power of modern microcomputers to integrate factors such as parasite strain, geographic location, management practice and genetic fitness to identify effective control regimens which do not lead to resistant Ostertagia circumcincta strains over a 30-year horizon. The potential use of the model as a farm level management-support tool is discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 369-376 |
| Number of pages | 7 |
| Journal | International Journal for Parasitology |
| Volume | 19 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Jul 1989 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Anthelmintic resistance
- Ostertagia circumcincta
- genetic prediction model
- fitness
- computer simulation
- drug usage
- pasture switching
Fingerprint
Dive into the research topics of 'Anthelmintic resistance and the control of ovine ostertagiasis - a drug-action model for genetic selection'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver