An analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed‐stock fishery for Atlantic salmon Salmo salar in Ireland
A genetic stock identification ( GSI ) study was undertaken in a fishery for Atlantic salmon Salmo salar to determine the effects of restrictive fishery management measures on the stock composition of the fishery, and if accurate and precise stock composition estimates could be achieved on the small...
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crwiley:10.1111/jfb.12139 2024-05-19T07:37:37+00:00 An analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed‐stock fishery for Atlantic salmon Salmo salar in Ireland Ensing, D. Crozier, W. W. Boylan, P. O'Maoiléidigh, N. McGinnity, P. Loughs Agency 2013 http://dx.doi.org/10.1111/jfb.12139 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fjfb.12139 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfb.12139 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Journal of Fish Biology volume 82, issue 6, page 2080-2094 ISSN 0022-1112 1095-8649 journal-article 2013 crwiley https://doi.org/10.1111/jfb.12139 2024-04-25T08:28:50Z A genetic stock identification ( GSI ) study was undertaken in a fishery for Atlantic salmon Salmo salar to determine the effects of restrictive fishery management measures on the stock composition of the fishery, and if accurate and precise stock composition estimates could be achieved on the small geographical scale where this fishery operates, using a suite of only seven microsatellite loci. The stock composition of the Foyle fishery was shown to comprise almost exclusively of Foyle origin fish in the 3 years after restrictive measures were introduced in 2007, compared to 85% the year before. This showed that the restrictive measures resulted in the Foyle fishery being transformed from a mixed‐stock fishery to an almost exclusively single‐stock fishery, and showed how GSI studies can guide and evaluate management decisions to successfully manage these fisheries. Highly accurate and precise stock composition estimates were achieved in this study, using both cBAYES and ONCOR genetic software packages. This suggests accurate and precise stock composition is possible even on small geographical scales. Article in Journal/Newspaper Atlantic salmon Salmo salar Wiley Online Library Journal of Fish Biology 82 6 2080 2094 |
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Open Polar |
collection |
Wiley Online Library |
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crwiley |
language |
English |
description |
A genetic stock identification ( GSI ) study was undertaken in a fishery for Atlantic salmon Salmo salar to determine the effects of restrictive fishery management measures on the stock composition of the fishery, and if accurate and precise stock composition estimates could be achieved on the small geographical scale where this fishery operates, using a suite of only seven microsatellite loci. The stock composition of the Foyle fishery was shown to comprise almost exclusively of Foyle origin fish in the 3 years after restrictive measures were introduced in 2007, compared to 85% the year before. This showed that the restrictive measures resulted in the Foyle fishery being transformed from a mixed‐stock fishery to an almost exclusively single‐stock fishery, and showed how GSI studies can guide and evaluate management decisions to successfully manage these fisheries. Highly accurate and precise stock composition estimates were achieved in this study, using both cBAYES and ONCOR genetic software packages. This suggests accurate and precise stock composition is possible even on small geographical scales. |
author2 |
Loughs Agency |
format |
Article in Journal/Newspaper |
author |
Ensing, D. Crozier, W. W. Boylan, P. O'Maoiléidigh, N. McGinnity, P. |
spellingShingle |
Ensing, D. Crozier, W. W. Boylan, P. O'Maoiléidigh, N. McGinnity, P. An analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed‐stock fishery for Atlantic salmon Salmo salar in Ireland |
author_facet |
Ensing, D. Crozier, W. W. Boylan, P. O'Maoiléidigh, N. McGinnity, P. |
author_sort |
Ensing, D. |
title |
An analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed‐stock fishery for Atlantic salmon Salmo salar in Ireland |
title_short |
An analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed‐stock fishery for Atlantic salmon Salmo salar in Ireland |
title_full |
An analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed‐stock fishery for Atlantic salmon Salmo salar in Ireland |
title_fullStr |
An analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed‐stock fishery for Atlantic salmon Salmo salar in Ireland |
title_full_unstemmed |
An analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed‐stock fishery for Atlantic salmon Salmo salar in Ireland |
title_sort |
analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed‐stock fishery for atlantic salmon salmo salar in ireland |
publisher |
Wiley |
publishDate |
2013 |
url |
http://dx.doi.org/10.1111/jfb.12139 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fjfb.12139 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfb.12139 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Journal of Fish Biology volume 82, issue 6, page 2080-2094 ISSN 0022-1112 1095-8649 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/jfb.12139 |
container_title |
Journal of Fish Biology |
container_volume |
82 |
container_issue |
6 |
container_start_page |
2080 |
op_container_end_page |
2094 |
_version_ |
1799476953781108736 |