Picture of wind turbine against blue sky

Open Access research with a real impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

The Energy Systems Research Unit (ESRU) within Strathclyde's Department of Mechanical and Aerospace Engineering is producing Open Access research that can help society deploy and optimise renewable energy systems, such as wind turbine technology.

Explore wind turbine research in Strathprints

Explore all of Strathclyde's Open Access research content

The genetic basis of resistance to ostertagia circumcincta in lambs

Stear, M.J. and Bairden, K. and Bishop, S.C. and Buitkamp, J. and Duncan, J.L. and Gettinby, G. and McKellar, Q.A. and Park, M. (1997) The genetic basis of resistance to ostertagia circumcincta in lambs. Veterinary Journal, 154 (2). pp. 111-119. ISSN 1090-0233

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

The relationship between Ostertagia (Teladorsagia) circumcincta and sheep is one of the best understoodhost-parasite relationships in any species. The key components of resistance have been quantified, the extent of genetic control has been established for lambs, and methods now exist to breed lambs which will be both more resistant to worms and more productive than unselected lambs. A major gene for resistance has been identified within or around the major histocompatibility complex, and this gene appears to be the strongest yet identified for resistance to any parasite species. The most important mechanisms of resistance are local IgA responses which regulate worm fecundity and immediate hypersensitivity responses which regulate worm burdens. IgA responses develop before effective immediate hypersensitivity responses. Good simulation models now exist to predict, for example, outbreaks of disease and the response of sheep to selection. The challenge now is to use our improved understanding of the population biology to develop even better simulation models and to produce expert systems based on these models which can be used by veterinarians and others to determine optimal procedures for individual farms to control disease and reduce sub-clinical economic losses.