The available database comprises research projects in Fisheries, Aquaculture, Seafood Processing and Marine Biotechnology active in the time period 2003-2022.
BlueBio is an ERA-NET COFUND created to directly identify new and improve existing ways of bringing bio-based products and services to the market and find new ways of creating value from in the blue bioeconomy.

More information on the BlueBio project and participating funding organizations is available on the BlueBio website: www.bluebioeconomy.eu

Last Update: 2024/06/19

NA
Fisheries
Marine Biotechnology
Aquaculture
Quantifying genetic effects of escaped farmed salmon on wild salmon
National Programme
National
Kjetil Hindar
kjetil.hindar@nina.no
NINA - Norwegian Institute for Nature Research (Norway)
NA
2012
2016
€ 1,947,950
https://prosjektbanken.forskningsradet.no/project/FORISS/216105
This proposal combines expertise from four central research institutions that study interactions between escaped farmed and wild Atlantic salmon Salmo salar from different perspectives: population genetics, ecology, genomics, and quantitative genetics. Th e proposal is designed to meet all of the ambitions of the knowledge platform announced by the RCN Havbruk programme. Our proposal will make use of recently developed molecular genetic tools to identify farmed and wild salmon. The tool (single nucleotide polymorphisms) will be used to quantify gene flow from farmed to wild salmon in a large set of populations. Moreover, we will combine this information with data on the proportions of escaped farmed salmon in the rivers, and with characteristics of the riv ers and their salmon populations, to identify factors that facilitate or limit gene flow from farmed to wild fish. In controlled experiments, we will quantify how farmed salmon change in response to natural selection. Detailed genomic studies of the breed ing lines of farmed salmon will be explored to establish genetic signatures of artificial selection in farmed salmon, and also to study to what extent these signatures are evident among their offspring in the wild. Genomic analyses will also be employed t o identify more powerful sets of genetic markers for future studies of genetic interactions between farmed and wild salmon. The combined genetic knowledge gained by the platform will be used to parameterize and refine models to predict the future of wild salmon populations receiving escaped farmed salmon. The knowledge platform will contribute to the sustainable management of farmed and wild Atlantic salmon, and also benefit the aquaculture industry and wild salmon fisheries and tourism by providing guide lines for sustainable development of aquaculture.
Escapes; Genetic; Salmon; Wild animals; Environmental impact; Fish;
Northern North Sea (27.IVa) Skagerrak, Kattegat (27.IIIa) Norwegian Sea (27.IIa) Barents Sea (27.I)
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If there is any incorrect or missing information on this project please access here or contact bluebio.database@irbim.cnr.it
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