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
Aquaculture
Marine Biotechnology
Utvikling og implementering av markør-assistert/genomisk seleksjon for resistens mot lakselus og andre egenskaper i avlsmålet - Development and implementation of marker-assisted / genomic selection for resistance to salmon lice and other traits in the breeding target
National Programme
National
Thomas Moen
historisk-thomas.moen@nofima.no
NOFIMA - Norwegian Institute of Food, Fisheries and Aquaculture Research (Norway)
NA - AquaGen AS (Norway)
2010
2014
€ 325,000
https://prosjektbanken.forskningsradet.no/en/project/FORISS/200551?Kilde=FORISS&distribution=Ar&chart=bar&calcType=funding&Sprak=no&sortBy=date&sortOrder=desc&resultCount=30&offset=0&Geografi.2=Heim
The project will lay the foundation for systematic implementation of marker-assisted selection (MAS) and genomic selection in Aqua Gen's breeding work. Aqua Gen has previously had great success with the implementation of a QTL (quantitative trait locus) for resistance to the viral disease IPN. We now want to continue this work by using MAS on several traits that are already in the breeding goal, as well as on a new and important trait (salmon lice). We also want to lay the foundation for the implementation of genomic selection, a continuation of MAS, for the same traits. SNPs). The genotypes will be combined with phenotypes, registered on the brood fish themselves or on progeny groups. Both an approach based on link imbalance (association study) and one based on genetic linkage will be used. This could reveal QTL for growth, early sexual maturation, fillet color, fat percentage, utilization of vegetable feed, resistance to ISA, IPN, furunculosis, piscirickettsiosis, HSMB, and many other characteristics. In addition, we will carry out an infection test for resistance to salmon lice. Registrations from this test will be combined with genotypes in the elderly, as outlined above. Identified QTLs for salmon lice will then be confirmed / fine-tuned by genotyping animals from the infection test. We will also try to uncover genes that affect salmon lice resistance by re-sequencing of animals with a deduced QTL genotype (draft complete genome sequence on the salmon will be completed in 2010). The data set that is generated will also be well suited for calculating marker effects for use in genomic selection. We will also optimize methodology and infrastructure with a view to cost-effective utilization of MAS and genomic selection in Aqua Gen, as well as make result-based decisions with a view to choosing a methodology.
Fish; Selective breeding; Genetic; Parasite; Salmon;
Not associated to marine areas
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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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