Aquat. Living Resour.
Volume 29, Number 2, April-June 2016
|Number of page(s)||7|
|Published online||10 June 2016|
Commercial gillnetting is more stressful for saithe (Pollachius virens L.) than jigging: but is fillet quality affected?
Norwegian Institute of Nature Research,
PO Box 5685 Sluppen,
2 Dept. of Marine Sciences and Applied Biology, University of Alicante, PO Box 99, 03080 Alicante, Spain
a Corresponding author: firstname.lastname@example.org
Received: 16 September 2015
Accepted: 2 April 2016
Various fish capture methods, which involve different levels of pre-slaughter stress/welfare, could influence the final quality of marketed fish. In this study, living saithe (Pollachius virens L.), caught during realistic commercial fishing by gillnetting (n = 37) and automatic jigging (n = 50), were analysed for stress indicators in blood parameters. An assessment of the fillet quality of the same fish, after four days storage on ice, was carried out using an Industrial Test (IT) and a Quality Index Method (QIM). Stress indicators in gillnetted fish, such as lactate (7.5 ± 0.6 mmol/L), haematocrit (33.9 ± 1.2%) and glucose (6.7 ± 0.7 mmol/L) were significantly higher when compared to jigged fish (2.6 ± 0.2 mmol/L, 23.7 ± 0.7% and 3.3 ± 0.1 mmol/L, respectively), indicating higher stress levels for fish caught with gillnets. No differences due to fishing gear were detected in the quality indexes, which seemed to be influenced by a potential bias introduced when only fish hauled on board alive were analysed, and the limitations of the QIM and IT to detect small differences in quality. Condition factor (K) was positively correlated with IT for gillnetted fish, but not for jigged fish. This could also mask potential effects of capture methods on fillet quality. These results will be valuable given emerging concerns on fish welfare in commercial fisheries and the need to deliver fish products with high quality standards.
Key words: Saithe / blood parameters / stress / welfare / quality indexes / catching method
© EDP Sciences 2016
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