Use of a mathematical model to describe the epidemiology of Lepeophtheirus salmonis on farmed Atlantic salmon Salmo salar in the Hardangerfjord, Norway

George Gettinby, Chris Robbins, Fiona Lees, Peter A. Heuch, Bengt Finstad, Ragnild Malkenes, Crawford Revie

Research output: Contribution to journalArticle

14 Citations (Scopus)
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Abstract

Infestation patterns of the sea louse Lepeophtheirus salmonis from 44 salmon farms in the Hardangerfjord on the south-west coast of Norway over the period 2004 to 2007 were assimilated to create 20-month production cycle profiles for spring and autumn stocked generations. The timing and frequency of in-feed and bath treatments to control sea lice associated with these profiles was considered. Spring and autumn stocked farms were observed to have different patterns of sea lice counts on salmon during the first and second years of production. Spring stocked sites experienced increasing infestation toward the end of the first year and on average counts remained elevated thereafter, whereas autumn stocked sites averaged lower sea lice counts throughout most of the production cycle until the latter part of the second year when these escalated rapidly. In-feed treatments were the predominant form of sea lice control in the first half of the production cycle on spring stocked farms, whereas bath treatments were used exclusively in the second half of the production cycle; a very similar pattern of therapeutant use was observed on autumn stocked farms.

Results using the SLiDESim (Sea Lice Difference Equation Simulation) infection model and a range of biological and production parameters showed that modelling resulted in a better fit to the mobile lice profiles for autumn stocked farms compared to spring stocked farms. Some features of the mobile lice profiles were not captured by the infection model such as the oscillation of the population between months 11 and 18 of the production cycle on spring stocked farms, and a large peak observed in month 19 on autumn stocked farms. Before modelling can be used to evaluate optimal treatment strategies or other management interventions there remains a need to more clearly understand the underlying biological processes associated with the dynamics of sea lice infestations in the Hardangerfjord.

Original languageEnglish
Pages (from-to)164-170
Number of pages7
JournalAquaculture
Volume320
Early online date23 Mar 2011
DOIs
Publication statusPublished - 2011

Fingerprint

Lepeophtheirus salmonis
louse
Caligidae
epidemiology
Salmo salar
Norway
mathematical models
farm
farms
autumn
lice
salmon
louse control
lice infestations
infection
sea
oscillation
biological processes
modeling
coasts

Keywords

  • multiple treatment types
  • mathematical model
  • Salmon farms
  • Lepeophtheirus salmonis
  • Norway

Cite this

Gettinby, George ; Robbins, Chris ; Lees, Fiona ; Heuch, Peter A. ; Finstad, Bengt ; Malkenes, Ragnild ; Revie, Crawford. / Use of a mathematical model to describe the epidemiology of Lepeophtheirus salmonis on farmed Atlantic salmon Salmo salar in the Hardangerfjord, Norway. In: Aquaculture. 2011 ; Vol. 320. pp. 164-170.
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Use of a mathematical model to describe the epidemiology of Lepeophtheirus salmonis on farmed Atlantic salmon Salmo salar in the Hardangerfjord, Norway. / Gettinby, George; Robbins, Chris; Lees, Fiona; Heuch, Peter A.; Finstad, Bengt; Malkenes, Ragnild; Revie, Crawford.

In: Aquaculture, Vol. 320, 2011, p. 164-170.

Research output: Contribution to journalArticle

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T1 - Use of a mathematical model to describe the epidemiology of Lepeophtheirus salmonis on farmed Atlantic salmon Salmo salar in the Hardangerfjord, Norway

AU - Gettinby, George

AU - Robbins, Chris

AU - Lees, Fiona

AU - Heuch, Peter A.

AU - Finstad, Bengt

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AU - Revie, Crawford

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AB - Infestation patterns of the sea louse Lepeophtheirus salmonis from 44 salmon farms in the Hardangerfjord on the south-west coast of Norway over the period 2004 to 2007 were assimilated to create 20-month production cycle profiles for spring and autumn stocked generations. The timing and frequency of in-feed and bath treatments to control sea lice associated with these profiles was considered. Spring and autumn stocked farms were observed to have different patterns of sea lice counts on salmon during the first and second years of production. Spring stocked sites experienced increasing infestation toward the end of the first year and on average counts remained elevated thereafter, whereas autumn stocked sites averaged lower sea lice counts throughout most of the production cycle until the latter part of the second year when these escalated rapidly. In-feed treatments were the predominant form of sea lice control in the first half of the production cycle on spring stocked farms, whereas bath treatments were used exclusively in the second half of the production cycle; a very similar pattern of therapeutant use was observed on autumn stocked farms.Results using the SLiDESim (Sea Lice Difference Equation Simulation) infection model and a range of biological and production parameters showed that modelling resulted in a better fit to the mobile lice profiles for autumn stocked farms compared to spring stocked farms. Some features of the mobile lice profiles were not captured by the infection model such as the oscillation of the population between months 11 and 18 of the production cycle on spring stocked farms, and a large peak observed in month 19 on autumn stocked farms. Before modelling can be used to evaluate optimal treatment strategies or other management interventions there remains a need to more clearly understand the underlying biological processes associated with the dynamics of sea lice infestations in the Hardangerfjord.

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