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Comparison of three methods for identification of redfish (Sebastes mentella and S. norvegicus) from the Greenland east coast

机译:从格陵兰东海岸鉴定三种鉴定三种方法的比较

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In management of fisheries, knowledge about the species is crucial due to differences in life history traits. The first step is therefore species identification. For many species this task is straightforward, however for some species e.g. the two species of Atlantic redfish Sebastes mentella and Sebastes norvegicus, it can be difficult for an untrained eye. With the goal to separate the two species, we analysed otolith shape variation of S. mentella and S. norvegicus caught on the continental slope of East Greenland using the R package "Shape R". Results were evaluated against genetic analysis of the same fish, and compared to results of both a visual identification of the two species and a separation based on a linear discriminant analysis on standardised values of fish length, fish weight and otolith weight. It was concluded that the objective otolith shape analysis using the Shape R package analysis achieve a reasonable classification success, however with a clear bias towards S. mentella. Classification using the otolith weight achieved a slightly higher success than the shape analysis making it a promising method. Furthermore, the method is at the same time both objective, less time consuming than the otolith shape analysis and less expensive than genetic analysis. However, the visual classification method of the whole fish had the highest success rate of the three tested methods, which despite the need for trained technicians makes it the most successful method.
机译:在管理渔业中,由于生活历史特征的差异,有关该物种的知识至关重要。因此,第一步是物种鉴定。对于许多物种,这项任务很简单,但对于某些物种而言,例如,两种大西洋红鱼塞巴斯特斯宫果和塞巴斯特斯诺威奇斯,这可能是未经训练的眼睛。通过实现两种物种的目标,我们使用R包“形状r”分析了S. Mentella和S. Norvegicus的欧特拉和S. Norvegicus的变化。对同一鱼的遗传分析评估了结果,与两种物种的视觉鉴定的结果相比,基于线性判别分析对鱼长度,鱼体重和右右侧重量的标准值分析。结论是,使用形状R包分析的客观障碍形状分析实现了合理的分类成功,然而,对于迈尔氏菌具有清晰的偏见。使用偏离重量的分类实现的成功略高于形状分析,使其成为一个有希望的方法。此外,该方法同时既有目的,耗时少于欧特尔形状分析,比遗传分析较便宜。然而,整个鱼类的视觉分类方法具有三种测试方法的最高成功率,尽管需要训练有素的技术人员,这使得它成为最成功的方法。

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