Aquaculture, Год журнала: 2023, Номер 577, С. 739920 - 739920
Опубликована: Июль 24, 2023
Язык: Английский
Aquaculture, Год журнала: 2023, Номер 577, С. 739920 - 739920
Опубликована: Июль 24, 2023
Язык: Английский
New Zealand Journal of Marine and Freshwater Research, Год журнала: 2025, Номер unknown, С. 1 - 16
Опубликована: Фев. 24, 2025
Язык: Английский
Процитировано
0Aquaculture Economics & Management, Год журнала: 2025, Номер unknown, С. 1 - 31
Опубликована: Март 3, 2025
Язык: Английский
Процитировано
0Frontiers in Physiology, Год журнала: 2025, Номер 16
Опубликована: Апрель 7, 2025
This study investigated the heart rate (HR) and acceleration (AC) dynamics of Atlantic salmon (Salmo salar) during a swim fitness test in tunnel. Experimental fish were implanted with data loggers equipped HR AC sensors. These fish, controls that not implanted, subjected to swim-fitness at incremental speeds from 0.2 1.0 m.s-1. Oxygen consumption (MO2) locomotory behavior monitored. Subsequently, these stress challenge further link between induced AC. When swimming m.s-1, (N = 19) was high tunnels but remained stable 82 84 beats per minute (bpm), despite significant increases MO2, AC, tail beat frequency (TBF), head width (HWF). The observed also reflected by explaining only ∼15% variation MO2. MO2 increased 238 343 mg.kg-1.h-1 when 0.4 With increasing speeds, values 16 27 milli-g explained ∼40% TBF linearly speed, m.s-1 onward, it correlated strongly similarly for HWF. Under controlled conditions, significantly higher than baseline conditions similar regardless intensity. Also, showed peak patterns as HR. From results, we conclude oxygen demand is met alone salmon. supports hypothesis stroke volume plays an important role boosting cardiac output. contrast HR, strong positive correlation tests may serve reliable predictor energy expenditure. HWF be useful predictors, did show responses but, swimming, up maximum under 90 bpm.
Язык: Английский
Процитировано
0Frontiers in Robotics and AI, Год журнала: 2025, Номер 12
Опубликована: Апрель 23, 2025
Studies show that Atlantic salmon in captivity adjust their distribution sea cages based on environmental gradients like temperature, waves, and photoperiod. This study used a computer vision algorithm at three marine farms to analyse fish group swimming behaviour termed “activity” (measured percent), which includes abundance, speed, shoal cohesion. The activity metric inferred the depth of main was analysed with respect conditions explore potential behavioural drivers assess changes response stressor, storm event. During winter conditions, Farms A B showed distinct thermal stratification, demonstrating preference for warmer lower water column (39.6 ± 15.3% 27.5 10.2%) over upper (16.3 5.7% 18 3.3%; p < 0.001). At Farm C, thermally homogenous water, similarly distributed between (18.2 6.9%) (17.7 7.6%) column. Severe weather increased wave heights, influencing horizontal differently C. B, deeper site, remained avoided surface while shallower cages, they moved toward side cage nearest centre farm, presumably less exposed due nearby cages. Understanding responses can inform management practices, using cameras associated algorithms offers powerful, non-invasive tool continuously monitoring safeguarding health welfare.
Язык: Английский
Процитировано
0Aquaculture, Год журнала: 2023, Номер 577, С. 739920 - 739920
Опубликована: Июль 24, 2023
Язык: Английский
Процитировано
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