Population genetic tools for pest management : a review

Rollins, Lee Ann, Woolnough, Andrew P. and Sherwin, William B. 2006, Population genetic tools for pest management : a review, Wildlife research, vol. 33, no. 4, pp. 251-261, doi: 10.1071/WR05106.

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Title Population genetic tools for pest management : a review
Author(s) Rollins, Lee AnnORCID iD for Rollins, Lee Ann orcid.org/0000-0002-3279-7005
Woolnough, Andrew P.
Sherwin, William B.
Journal name Wildlife research
Volume number 33
Issue number 4
Start page 251
End page 261
Total pages 11
Publisher CISRO Publishing
Place of publication Collingwood, Vic
Publication date 2006-06
ISSN 1035-3712
Keyword(s) pest management
population genetic tools
Summary Population genetic tools have the potential to answer key questions in pest management including quantifying the number of genetically distinct populations represented in an invasion, the number of individuals present, whether populations are expanding or contracting, identifying the origin of invasive individuals, the number of separate introduction events that have occurred and in which order, and the rate that individuals are moving between populations. Genetic methods have only recently gained sufficient resolution to address these questions due to advances in laboratory techniques coupled with an increase in computational power. In combination, these methods may lead to a more comprehensive understanding of the dynamics of invasions. The expansion of the European starling (Sturnus vulgaris) into Western Australia is used as an applied example of how genetic methods can be integrated to provide vital information to improve pest-management strategies. Invasion events also may provide a unique opportunity to test some of these methodologies.
Language eng
DOI 10.1071/WR05106
Field of Research 060411 Population, Ecological and Evolutionary Genetics
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2006, CSIRO
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048069

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