首页> 外文期刊>Aquaculture >Use of a mathematical model to describe the epidemiology of Lepeophtheirus salmonis on farmed Atlantic salmon Salmo salar in the Hardangerfjord, Norway.
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Use of a mathematical model to describe the epidemiology of Lepeophtheirus salmonis on farmed Atlantic salmon Salmo salar in the Hardangerfjord, Norway.

机译:使用数学模型来描述挪威哈登格峡湾养殖的大西洋鲑鱼Salmo salar的鲑鱼Leopophtheirus鲑鱼的流行病学。

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Infestation patterns of the sea louse Lepeophtheirus salmonis from 44 salmon farms in the Hardangerfjord on the south-west coast of Norway over the period 2004 to 2007 were assimilated to create 20-month production cycle profiles for spring and autumn stocked generations. The timing and frequency of in-feed and bath treatments to control sea lice associated with these profiles was considered. Spring and autumn stocked farms were observed to have different patterns of sea lice counts on salmon during the first and second years of production. Spring stocked sites experienced increasing infestation toward the end of the first year and on average counts remained elevated thereafter, whereas autumn stocked sites averaged lower sea lice counts throughout most of the production cycle until the latter part of the second year when these escalated rapidly. In-feed treatments were the predominant form of sea lice control in the first half of the production cycle on spring stocked farms, whereas bath treatments were used exclusively in the second half of the production cycle; a very similar pattern of therapeutant use was observed on autumn stocked farms. Results using the SLiDESim (Sea Lice Difference Equation Simulation) infection model and a range of biological and production parameters showed that modelling resulted in a better fit to the mobile lice profiles for autumn stocked farms compared to spring stocked farms. Some features of the mobile lice profiles were not captured by the infection model such as the oscillation of the population between months 11 and 18 of the production cycle on spring stocked farms, and a large peak observed in month 19 on autumn stocked farms. Before modelling can be used to evaluate optimal treatment strategies or other management interventions there remains a need to more clearly understand the underlying biological processes associated with the dynamics of sea lice infestations in the Hardangerfjord.Digital Object Identifier http://dx.doi.org/10.1016/j.aquaculture.2011.03.017
机译:将挪威西南海岸的哈当厄尔峡湾的44个鲑鱼养殖场2004年至2007年期间的海虱 Lepeophtheirus鲑鱼的侵染模式同化,从而为春季和秋季创建了20个月的生产周期图世代相传。考虑了进食和浸浴处理的时间和频率,以控制与这些特征相关的海虱。在生产的第一年和第二年,观察到春季和秋季饲养的鲑鱼的海虱数量不同。到第一年末,春季放养场的侵扰不断增加,此后平均数量仍在增加,而在整个生产周期的大部分时间里,秋季放养场的海虱数量平均较低,直到第二年下半年迅速增长。进食处理是春季放养农场生产周期前半段控制海虱的主要形式,而浴池处理仅在生产周期后半段使用。在秋季放养的农场中观察到了非常相似的治疗剂使用方式。使用 SLiDESim (海虱差异方程模拟)感染模型以及一系列生物学参数和生产参数的结果表明,与春季饲养场相比,建模可以更好地拟合秋季饲养场的活动虱子特征。感染模型未捕获流动虱子特征的某些特征,例如春季饲养场的生产周期的第11到18个月之间种群的波动,以及秋季饲养场的第19个月观察到一个大的峰值。在将模型用于评估最佳治疗策略或其他管理干预措施之前,仍然需要更清楚地了解与Hardangerfjord中海虱侵袭动态相关的潜在生物过程。数字对象标识符http://dx.doi.org /10.1016/j.aquaculture.2011.03.017

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