Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3735
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: A baseline method for benchmarking mortality losses in Atlantic salmon (Salmo salar) production
Author(s): Soares, Silvia
Green, Darren
Turnbull, James
Crumlish, Margaret
Murray, Alexander G
Contact Email: darren.green@stir.ac.uk
Keywords: Fish health
Benchmark
On-farm database
Mortality records
Population dynamics
Atlantic salmon Mortality
Atlantic salmon Growth
Issue Date: Apr-2011
Date Deposited: 20-Mar-2012
Citation: Soares S, Green D, Turnbull J, Crumlish M & Murray AG (2011) A baseline method for benchmarking mortality losses in Atlantic salmon (Salmo salar) production. Aquaculture, 314 (1-4), pp. 7-12. https://doi.org/10.1016/j.aquaculture.2011.01.029
Abstract: On-farm databases provide a large diversity of information regarding fish health and stock performance. Mortality records held in on-farm database are indicators of fish health status and of great interest for studying fish health, such as patterns of diseases. Mortality records from a Scottish Atlantic salmon production database of one company were used to develop a method of benchmarking production losses due to mortality. The records used concerned mortality loss numbers of Atlantic salmon in the seawater phase. The median, 10th and 90th percentiles of mortality were calculated for each week of production from 88 production recorded cycles. These values were used to delimit the range of a standard mortality curve through the production cycle. The effects of the different mortality losses from each cycle on production in terms of costs and time consumed were also described. Likewise, substantial interannual variation in mortality time series is described as well as the mortality variation associated with three diseases (Pancreas Disease, Cardiomyopathy Syndrome and Infectious Pancreatic Necrosis).
DOI Link: 10.1016/j.aquaculture.2011.01.029
Rights: Published in Aquaculture by Elsevier.||This is the peer reviewed version of this article.||NOTICE: this is the author's version of a work that was accepted for publication in Aquaculture. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Aquaculture, VOL 314, ISSUE 1-4, (April 2011). DOI: 10.1016/j.aquaculture.2011.01.029

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