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dc.contributor.authorMorgenroth, Daniel
dc.contributor.authorKvæstad, Bjarne
dc.contributor.authorØkland, Finn
dc.contributor.authorFinstad, Bengt
dc.contributor.authorOlsen, Rolf-Erik
dc.contributor.authorSvendsen, Eirik
dc.contributor.authorRosten, Carolyn
dc.contributor.authorAxelsson, Michael
dc.contributor.authorBloecher, Nina
dc.contributor.authorFøre, Martin
dc.contributor.authorGräns, Albin
dc.date.accessioned2023-10-10T10:19:00Z
dc.date.available2023-10-10T10:19:00Z
dc.date.created2023-10-02T08:29:06Z
dc.date.issued2023
dc.identifier.issn0044-8486
dc.identifier.urihttps://hdl.handle.net/11250/3095431
dc.description.abstractRecent advances in bio-sensing technologies open for new possibilities to monitor and safeguard the welfare of fishes in aquaculture. Yet before taken into practice, the applicability of all novel biosensors must be validated, and the breadth of their potential uses must be investigated. Here, we investigated how ECG and accelerometryderived parameters measured using bio-loggers, such as heart rate, acceleration and variance of acceleration, relate to O2 consumption rate (MO2) and blood borne indicators of stress and tissue damage to determine how biologgers may be used to estimate stress and welfare. To do this, we instrumented 13 fish with a biologger and an intravascular catheter and subjected them to a swimming protocol followed by a stress protocol throughout which the physiological parameters were measured and analyzed a posteriori. Additionally, based on the empirical data obtained, we calculated the mathematical relationships between the bio-logger data and the other parameters and tested the relationship between the calculated parameters using the linear regression algorithms and the measured parameters. Our results show that acceleration is a good proxy for swimming activity as it is closely related to tail beat frequency. In addition, we show that heart rate, acceleration and variance of acceleration all can be used as predictors for metabolic rate. Accelerometry based data, especially variance of acceleration, significantly explain some of the variation in venous partial pressure of O2, blood lactate and plasma cortisol concentration. Variance of acceleration also significantly explains some of the variation in pH and mean corpuscular hemoglobin concentration. These relationships are explained by variance of acceleration being a good indicator of the onset of burst-swimming activity, which is often followed by acid-base imbalances and release of catecholamines. The results herein indicate that bio-logger data can be used to extrapolate a range of stress-related physiological events when these are accompanied by increases in activity and highlight the great potential of biosensors for monitoring fish welfare. Biologger Acceleration Heart rate Stress Metabolismen_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectBiologgeren_US
dc.subjectAccelerationen_US
dc.subjectHeart rateen_US
dc.subjectStressen_US
dc.subjectMetabolismen_US
dc.titleUnder the sea: How can we use heart rate and accelerometers to remotely assess fish welfare in salmon aquaculture?en_US
dc.title.alternativeUnder the sea: How can we use heart rate and accelerometers to remotely assess fish welfare in salmon aquaculture?en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Authorsen_US
dc.subject.nsiVDP::Zoologiske og botaniske fag: 480en_US
dc.subject.nsiVDP::Zoology and botany: 480en_US
dc.source.volume579en_US
dc.source.journalAquacultureen_US
dc.identifier.doi10.1016/j.aquaculture.2023.740144
dc.identifier.cristin2180761
dc.relation.projectNorges forskningsråd: 280864en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal