Hatching Knowledge: A Case Study on the Hybridization of Local Ecological Knowledge and Scientific Knowledge in Small-Scale Atlantic Salmon (Salmo salar) Cultivation in Norway

Human Ecology ◽  
2018 ◽  
Vol 46 (4) ◽  
pp. 449-459 ◽  
Author(s):  
Hannah L. Harrison ◽  
Stine Rybråten ◽  
Øystein Aas
2021 ◽  
Vol 30 (2) ◽  
pp. 117-120
Author(s):  
O Folkedal ◽  
SO Utskot ◽  
J Nilsson

Delousing treatment for salmon sea lice (Lepeophtheirus salmonis) is considered a significant welfare concern in farming of Atlantic salmon ( Salmo salar), where both industry and legislative bodies prompt for better methods. Currently, the most common method is thermal delousing, where fish are crowded, pumped into a vessel and exposed to ∼28–34°C for ∼30 s. Physical collisions occurring as a result of a loss of behavioural control lead to acute stress. Crowding triggers vigorous escape behaviour as salmon respond not only to treatment but also to being channeled to and from the treatment zone. A sequence of events considered to cause mortality and poor welfare. The present case study was motivated by an urgent need for delousing in groups of small salmon post-smolts in experimental research. For this purpose, a simple, small-scale system for thermal delousing was constructed, including anaesthesia to alleviate behavioural responses. The anaesthetised fish showed little behavioural response to thermal treatment, strong appetite within hours, and negligible mortality. The described method is regarded as a welfare-friendly alternative to industrial delousing in smaller fish groups, for example, in experimental research. We would encourage detailed research aimed towards gaining a deeper under-standing of the welfare effects of anaesthesia prior to treatment for delousing.


Aquaculture ◽  
2012 ◽  
Vol 356-357 ◽  
pp. 1-6 ◽  
Author(s):  
Jose Luis Horreo ◽  
Jeronimo de la Hoz ◽  
Ivan Gonzalez Pola ◽  
Gonzalo Machado-Schiaffino ◽  
Eva Garcia-Vazquez

2005 ◽  
Vol 62 (9) ◽  
pp. 2143-2158 ◽  
Author(s):  
Marja-Liisa Koljonen ◽  
Jerome J Pella ◽  
Michele Masuda

Mixture modeling is shown to outperform classical individual assignments for both estimating stock composition and identifying individuals' sources in a case study of an eight-locus DNA microsatellite database from 26 Atlantic salmon (Salmo salar) stocks of the Baltic Sea. Performance of the estimation methods was compared using self-assignment tests applied to each of the baseline samples and using independent repeat samples from two of the baseline stocks. The different theoretical underpinnings, hypothesis testing versus decision theory, of the methods explain their estimation capacities. In addition, actual catch samples from three northern Baltic Sea sites in 2000 were analysed by mixture modeling, and estimated compositions were consistent with previous knowledge. Baltic main basin and Gulf of Finland stocks were each minor components (<1% at any site), and three groups of Gulf of Bothnia stocks, wild (36%–43% among sites), Finnish hatchery (15%–49%), and Swedish hatchery (11%–41%), were each important with the two hatchery contributions trending geographically.


2008 ◽  
Vol 423 (1) ◽  
pp. 412-415 ◽  
Author(s):  
V. S. Artamonova ◽  
O. V. Khaimina ◽  
A. A. Makhrov ◽  
V. A. Shirokov ◽  
B. S. Shulman ◽  
...  

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