首页> 外文会议>Workshop on Application of Stock Identification in Defining Marine Distribution and Migration of Salmon >Determining Accuracy of a Bayesian Approach to Estimate Individual Identification to Stock-of-Origin for Pacific Salmon in Marine Fisheries Using Microsatellite and MHC Loci
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Determining Accuracy of a Bayesian Approach to Estimate Individual Identification to Stock-of-Origin for Pacific Salmon in Marine Fisheries Using Microsatellite and MHC Loci

机译:确定使用微卫星和MHC位点估计海洋渔业中太平洋鲑鱼原产种群个体估计的贝叶斯方法的准确性

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Successful identification of individual sockeye to stock-of-origin remains one of the most useful and most challenging problems for mixed stock analysis. Capability to correctly identify individuals on the high-seas provides new research opportunities to study numerous biological and behavioural traits of Pacific salmon. A number of applications which employ Bayesian analysis for individual identification are available and work with varying degrees of stccess. The accuracy of individual identification is best evaluated using known mixture samples. The most convincing evidence for the success of individual identification requires "blind sample testing" where the laboratory provides estimates without knowing the true stock-of-origin for the sample.
机译:成功识别单个红点到原点仍然是混合股票分析中最有用和最具挑战性的问题之一。能够在公海正确识别个人的能力为研究太平洋鲑鱼的众多生物学和行为特征提供了新的研究机会。使用贝叶斯分析进行个体识别的许多应用程序都可以使用,并且可以在不同程度的成功下工作。最好使用已知的混合物样品评估个体识别的准确性。要获得成功的个人鉴定,最有说服力的证据就是需要进行“盲样品测试”,即实验室在不知道样品真正来源的情况下提供估计值。

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