Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445141
Title: Distinguishing populations of Atlantic salmon (Salmo salar) by elemental analysis of whole scales using inductively-coupled plasma-mass spectrometry
Author: Adey, Elizabeth Alys
Awarding Body: University of Aberdeen
Current Institution: University of Aberdeen
Date of Award: 2007
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Abstract:
Whole salmon scales were analysed using inductively coupled plasma mass spectrometry (ICP-MS) to test for differences in elemental compositions between salmon stocks. The trace element composition of scale samples from wild and farmed fish enabled identification of origin (wild/farmed) to a high degree of accuracy (98 %), with Mn found in significantly higher concentrations in farmed fish and identified as the most influential element. Farmed fish taken from six sites around the west coast of Scotland were also correctly classified with a surprisingly high accuracy using discriminant analysis (87 %). The ability to discriminate between wild stocks was tested using scales from returning fish caught in 12 rivers from around Scotland. Overall classification success was 59 %, but this was found to depend on sample sizes, with elimination of samples comprised of small numbers of individuals improving the classification success to 90 %. The elements showing the highest predictive power differ according to the origin of fish; Mn carries most weight distinguishing farmed from wild fish, Ba, Mn, Zn, Co, Li, Ni and V are important in distinguishing between farms, Li, Sr and Ba strongly influence classification of wild wish and U was found to be the most important predictor element separating out samples from the Faroes and West Greenland fisheries. It is suggested that differences in Li and Ba contents in scales reflect natural differences in river or catchment water chemistry, Zn, Ni, Co and V are likely to reflect differences in anthropogenic loading within industrialised settings and the high levels of Mn found in farmed fish scales predominantly reflects dietary uptake from supplementation of feed.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.445141  DOI: Not available
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