Modelling growth performance and feeding behaviour of Atlantic salmon (Salmo salar L.) in commercial-size aquaculture net pens: Model details and validation through full-scale experiments-Reference-Cited by-同舟云学术

Modelling growth performance and feeding behaviour of Atlantic salmon (Salmo salar L.) in commercial-size aquaculture net pens: Model details and validation through full-scale experiments

Published:2016-11 Issue: Volume:464 Page:268-278
ISSN:0044-8486
Container-title:Aquaculture
language:en
Short-container-title:Aquaculture

Author:

Føre Martin^ORCID,Alver Morten,Alfredsen Jo Arve,Marafioti Giancarlo,Senneset Gunnar,Birkevold Jens,Willumsen Finn Victor,Lange Guttorm,Espmark Åsa,Terjesen Bendik Fyhn

Funder

EU seventh Framework Programme

Publisher

Elsevier BV

Subject

Aquatic Science

Reference52 articles.

1. Improved growth and nutrient utilisation in Atlantic salmon (Salmo salar) fed diets containing a bacterial protein meal;Aas;Aquaculture,2006

2. Dynamic modelling of pellet distribution in Atlantic salmon (Salmo salar L.) cages;Alver;Aquac. Eng.,2004

3. A system for model-based biomass estimation of larvae in intensive cod larvicultures;Alver;Aquac. Int.,2005

4. An individual-based population model for rotifer (Brachionus plicatilis) cultures;Alver;Hydrobiologia,2006

5. Estimating larval density in cod (Gadus morhua) first feeding tanks using measurements of feed density and larval growth rates;Alver;Aquaculture,2007

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