Reliably discriminating stock structure with genetic markers: Mixture models with robust and fast computation

Delineating naturally occurring and self‐sustaining subpopulations (stocks) of a species is an important task, especially for species harvested from the wild. Despite its central importance to natural resource management, analytical methods used to delineate stocks are often, and increasingly, borro...

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Bibliographic Details
Published in:	Molecular ecology resources Vol. 18; no. 6; pp. 1310 - 1325
Main Authors:	Foster, Scott D., Feutry, Pierre, Grewe, Peter M., Berry, Oliver, Hui, Francis K. C., Davies, Campbell R.
Format:	Journal Article
Language:	English
Published:	England Wiley Subscription Services, Inc 01.11.2018
Subjects:	Admixtures algorithms analytical methods ancestry Animals Breeding Computational Biology - methods computational methodology Computer applications Computer Simulation Data processing Genetic Markers Genetics Genotyping Techniques - methods human genetics humans Livestock - classification Livestock - genetics Natural resource management Natural resources Parameter uncertainty Resource management Robustness (mathematics) Subpopulations Thunnus albacares Tuna - classification Tuna - genetics uncertainty
ISSN:	1755-098X, 1755-0998, 1755-0998
Online Access:	Get full text
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