Classical individual assignments versus mixture modeling to estimate stock proportions in Atlantic salmon ( Salmo salar ) catches from DNA microsatellite data
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 es...
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crcansciencepubl:10.1139/f05-128 2024-04-07T07:51:05+00:00 Classical individual assignments versus mixture modeling to estimate stock proportions in Atlantic salmon ( Salmo salar ) catches from DNA microsatellite data Koljonen, Marja-Liisa Pella, Jerome J Masuda, Michele 2005 http://dx.doi.org/10.1139/f05-128 http://www.nrcresearchpress.com/doi/pdf/10.1139/f05-128 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 62, issue 9, page 2143-2158 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 2005 crcansciencepubl https://doi.org/10.1139/f05-128 2024-03-08T00:37:41Z 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. Article in Journal/Newspaper Atlantic salmon Salmo salar Canadian Science Publishing Canadian Journal of Fisheries and Aquatic Sciences 62 9 2143 2158 |
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Open Polar |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
topic |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
spellingShingle |
Aquatic Science Ecology, Evolution, Behavior and Systematics Koljonen, Marja-Liisa Pella, Jerome J Masuda, Michele Classical individual assignments versus mixture modeling to estimate stock proportions in Atlantic salmon ( Salmo salar ) catches from DNA microsatellite data |
topic_facet |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Koljonen, Marja-Liisa Pella, Jerome J Masuda, Michele |
author_facet |
Koljonen, Marja-Liisa Pella, Jerome J Masuda, Michele |
author_sort |
Koljonen, Marja-Liisa |
title |
Classical individual assignments versus mixture modeling to estimate stock proportions in Atlantic salmon ( Salmo salar ) catches from DNA microsatellite data |
title_short |
Classical individual assignments versus mixture modeling to estimate stock proportions in Atlantic salmon ( Salmo salar ) catches from DNA microsatellite data |
title_full |
Classical individual assignments versus mixture modeling to estimate stock proportions in Atlantic salmon ( Salmo salar ) catches from DNA microsatellite data |
title_fullStr |
Classical individual assignments versus mixture modeling to estimate stock proportions in Atlantic salmon ( Salmo salar ) catches from DNA microsatellite data |
title_full_unstemmed |
Classical individual assignments versus mixture modeling to estimate stock proportions in Atlantic salmon ( Salmo salar ) catches from DNA microsatellite data |
title_sort |
classical individual assignments versus mixture modeling to estimate stock proportions in atlantic salmon ( salmo salar ) catches from dna microsatellite data |
publisher |
Canadian Science Publishing |
publishDate |
2005 |
url |
http://dx.doi.org/10.1139/f05-128 http://www.nrcresearchpress.com/doi/pdf/10.1139/f05-128 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 62, issue 9, page 2143-2158 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/f05-128 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
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62 |
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9 |
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2143 |
op_container_end_page |
2158 |
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1795665931661213696 |