Classical individual assignments versus mixture modeling to estimate stock proportions in Atlantic salmon (Salmo salar) catches from DNA microsatellite data

$50.00 plus tax (Refund Policy)

Buy Article:

Abstract:

Mixture modeling is shown to outperform classical individual assignments for both estimating stock composition and identifying individuals' sources in a case study of an eight-locus DNA microsatellite database from 26 Atlantic salmon (Salmo salar) stocks of the Baltic Sea. Performance of the estimation methods was compared using self-assignment tests applied to each of the baseline samples and using independent repeat samples from two of the baseline stocks. The different theoretical underpinnings, hypothesis testing versus decision theory, of the methods explain their estimation capacities. In addition, actual catch samples from three northern Baltic Sea sites in 2000 were analysed by mixture modeling, and estimated compositions were consistent with previous knowledge. Baltic main basin and Gulf of Finland stocks were each minor components (<1% at any site), and three groups of Gulf of Bothnia stocks, wild (36%–43% among sites), Finnish hatchery (15%–49%), and Swedish hatchery (11%–41%), were each important with the two hatchery contributions trending geographically.

Dans une étude de cas comportant une banque de données sur des microsatellites ADN à huit locus provenant de 26 stocks de saumons atlantiques (Salmo salar) de la Baltique, nous montrons qu'un modèle de mélange fonctionne mieux que les assignations individuelles classiques, tant pour estimer la composition des stocks que pour identifier les origines des individus. Nous avons comparé la performance des méthodes d'estimation à celle des tests d'auto-assignation appliqués à chacun des échantillons de base et à des échantillons répétées indépendants des deux stocks de base. Les différents fondements théoriques, évaluation d'hypothèse ou théorie de décision, des méthodes expliquent leur capacité d'estimation. De plus, nous avons analysé des échantillons réels de récoltes en 2000 dans trois sites du nord de la Baltique à l'aide de modèles de mélange; les compositions estimées que nous avons obtenues concordent avec nos connaissances antérieures. Les stocks du bassin principal de la Baltique et du golfe de Finlande sont tous deux des composantes mineures (<1 % à tous les sites) et trois groupes de stocks du golfe de Bothnie, stocks sauvages (36–43 % parmi les sites), stocks finlandais de pisciculture (15–49 %) et stocks suédois de pisciculture (11–41 %), sont tous importants; les deux contributions des piscicultures suivent des gradients géographiques.[Traduit par la Rédaction]

Document Type: Research Article

Publication date: September 1, 2005

More about this publication?
  • Published continuously since 1901 (under various titles), this monthly journal is the primary publishing vehicle for the multidisciplinary field of aquatic sciences. It publishes perspectives (syntheses, critiques, and re-evaluations), discussions (comments and replies), articles, and rapid communications, relating to current research on cells, organisms, populations, ecosystems, or processes that affect aquatic systems. The journal seeks to amplify, modify, question, or redirect accumulated knowledge in the field of fisheries and aquatic science. Occasional supplements are dedicated to single topics or to proceedings of international symposia.
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Terms & Conditions
  • Sample Issue
  • Reprints & Permissions
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more