Using expected allele number as objective function to design between and within breed conservation of farm animal biodiversity

2005 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Using expected allele number as objective function to design between and within breed conservation of farm animal biodiversity​
Simianer, H.​ (2005) 
Journal of Animal Breeding and Genetics122(3) pp. 177​-187​.​ DOI: https://doi.org/10.1111/j.1439-0388.2005.00523.x 

Documents & Media

License

GRO License GRO License

Details

Authors
Simianer, Henner
Abstract
Conservation of genetic diversity in farm animal species can be achieved by preventing extinction of breeds and by reducing genetic drift within breeds. It is suggested to use the expected number of alleles segregating in the species after a given time period as objective function in the design of conservation strategies. A formal approach is presented to predict this quantity based on marker information, accounting for extinction probability of breeds and effective population size within breeds as the major component of genetic drift. Based on this model, relative efficiency of different strategies of diversity conservation can be quantified. Formulas are given to derive the marginal expected number of alleles with respect to genetic drift within population and extinction probability, respectively. The suggested approach is illustrated with an example of 13 European cattle breeds. With the assumed parameters, drift is shown to be the major force leading to loss of alleles, and different breeds are prioritized for activities to reduce risk of extinction and for measures to reduce genetic drift, respectively. Although different aspects of the model need to be further refined, the suggested methodology provides a general and flexible tool to derive the optimum conservation strategy in various scenarios.
Issue Date
2005
Status
published
Publisher
Blackwell Verlag Gmbh
Journal
Journal of Animal Breeding and Genetics 
ISSN
0931-2668

Reference

Citations


Social Media