Department of Zoology & Faculty of Land and Food Systems, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z4
Department of Zoology & Faculty of Land and Food Systems, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z4.
J Exp Biol. 2019 Jun 25;222(Pt 12):jeb196568. doi: 10.1242/jeb.196568.
As fish approach fatigue at high water velocities in a critical swimming speed () test, their swimming mode and oxygen cascade typically move to an unsteady state because they adopt an unsteady, burst-and-glide swimming mode despite a constant, imposed workload. However, conventional rate of oxygen uptake ( ) sampling intervals (5-20 min) tend to smooth any dynamic fluctuations in active () and thus likely underestimate the peak Here, we used rainbow trout () to explore the dynamic nature of near using various sampling windows and an iterative algorithm. Compared with a conventional interval regression analysis of over a 10-min period, our new analytical approach generated a 23% higher peak Therefore, we suggest that accounting for such dynamics in with this new analytical approach may lead to more accurate estimates of maximum in fishes.
当鱼类在临界游泳速度（）测试中接近高水流速度时疲劳时，它们的游泳模式和氧气级联通常会进入不稳定状态，因为尽管施加了恒定的工作负荷，但它们会采用不稳定的爆发-滑翔游泳模式。然而，传统的耗氧量（）采样间隔（5-20 分钟）往往会使主动（）的任何动态波动平滑化，从而可能低估峰值。在这里，我们使用虹鳟鱼（）来探索使用各种采样窗口和迭代算法的峰值耗氧量（）的动态特性。与在 10 分钟期间对进行常规间隔回归分析相比，我们的新分析方法产生了 23%更高的峰值。因此，我们建议，使用这种新的分析方法考虑到耗氧量的这种动态变化，可能会更准确地估计鱼类的最大耗氧量。
