Acronym TRESS
Category
Aquaculture
Title Preventive measures to mitigate spreads of infections between vessels and farms Programme National Programme
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National Coordinator Hans Vanhauwaert Bjelland Coordinator email hans.bjelland@sintef.no
Coordinator institution
NA
Institutions involved
NA - Kongsberg Seatex AS (Norway) ,
NA - Midt-Norsk Havbruk AS (Norway) ,
NA - Norsk Fisketransport AS (Norway) ,
NVI - Norwegian Veterinary Institute (Norway) ,
NA - SalMar ASA (Norway) ,
SINTEF-SFH - SINTEF Fisheries and Aquaculture (Norway) ,
Start year 2015 End year 2016 Funding (€) € 1,252,632 Website NA Summary Diseases and parasites are major challenges for the aquaculture industry, leading to large economic losses. They also have negative effects on the reputation of the industry. Knowledge about diseases and how these are spread between aquaculture plants is therefore of great importance for the industry. Such knowledge is also the basis for developing technology, rules and procedures that can act as deterrents on the spread of infection.
Diseases can be spread by fish, other marine animals, water currents, through vessels, equipment and people. Knowledge about disease spread is therefore a complex and multidisciplinary issue.
The TRESS project will primarily study the spread of infection by vessels, but in a context where all sources of infection should be considered. The results may lead to reducing the risk of infection and contribute to new forms of organization and rules for disease control and coastal area management. This is internationally important and Norwegian solutions will have significant export value.
The research of the project shall increase the understanding and modelling of horizontal transmission routes for diseases in the aquaculture industry. This will include interdisciplinary understanding, documentation and publication of information on vessel activity and currents. The information is based on empirical data, real-time data acquisition systems and analysis / modelling of vessel activities.
Based on this information the industry will develop an operational and robust system, an internet portal for risk control. The system should integrate electronic tagging, knowledge about potential risk factors associated with the spread of infection, analysis of vessel activity (traffic patterns) and simulated sea currents to a service. The service includes a decision support system for knowledge-based disease control and procedures for coordination and cooperation between industry and supervisory institutions.
Status for the first year of the project:
ANTEO has identified three new product concepts: a) Resourseplanner, logistics system based on i TRESS components (Will be followed up outside TRESS), b) Reporting system for vessels witin a specific zone av c) Sea lice counter, app for reporting on site.
Kongsberg Seatex has developed and tested an AIS prototype for wellboats. Coverage data for AIS has been collected and will be reported.
User representatives Salmar, Midt-Norsk havbruk og Norsk Fisketransport has provided input to the function spesification of the disease spread model and service.
Veterinærinstituttet has structured the contact network among aquaculture sites based on marine vessel connection in order to identifying highly connected areas, sites, and vessels to be targeted for disease surveillance and control measures. The main tasks have been to analyse, filter and present historical AIS data for vessel movement. This data is used for simulation of a disease spread model to elucidate the impact of probability of disease transmitted by marine vessels on epidemic size.
SINTEF Fisheries and Aquaculture has organised a workshop and collected, systemized and presented input from users in order to specificy functions of a desease spreading service. A method for calculating noncircular risk zones around the individual sites based on current speed and flow direction has been suggested. The aim is to see whether customized zones can provide more precise detection of the real risk of contact between vessels and installations.
Simulations at Smøla, Hitra, Frøya, Froan and Frohavet has been runned. The objectives of the simulations was to establish an infection network for fish farms in the area (arrays for water contact and opportunity for waterborne infection), as background data for analyzes of transmission routes via wellboats and other vessels.
Keywords
Technology;
Parasite;
Fish health;
Disease;
Cage aquaculture;
Fish;
Open sea aquaculture;
Marine Region
41
Norwegian Sea (27.IIa)
1
Marine Region Map
