In stock enhancement programs, it is important to assess mixing rates of released individuals in stocks. For this purpose, genetic stock identification has been applied. The allele frequencies in a composite population are expressed as a mixture of the allele frequencies in the natural and released populations. The estimation of mixing rates is possible, under successive sampling from the composite population, on the basis of temporal changes in allele frequencies. The allele frequencies in the natural population may be estimated from those of the composite population in the preceding year. However, it should be noted that these frequencies can vary between generations due to genetic drift. In this article, we develop a new method for simultaneous estimation of mixing rates and genetic drift in a stock enhancement program. Numerical simulation shows that our procedure estimates the mixing rate with little bias. Although the genetic drift is underestimated when the amount of information is small, reduction of the bias is possible by analyzing multiple unlinked loci. The method was applied to real data on mud crab stocking, and the result showed a yearly variation in the mixing rate.

译文

:在库存增强计划中,评估库存中已释放人员的混合比率很重要。为此,已应用遗传种群鉴定。复合种群中的等位基因频率表示为自然种群和释放种群中等位基因频率的混合。在等位基因频率的时间变化的基础上,在连续采样下从复合种群中估计混合速率是可能的。天然种群中的等位基因频率可以根据前一年的复合种群的等位基因频率进行估算。但是,应注意的是,由于遗传漂移,这些频率在世代之间可能会有所不同。在本文中,我们开发了一种新的方法,可同时估算种群增强程序中的混合速率和遗传漂移。数值模拟表明,我们的方法估计的混合速率几乎没有偏差。尽管当信息量小时,遗传漂移会被低估,但通过分析多个未连锁的基因座可以降低偏倚。该方法应用于泥蟹放养的真实数据,结果表明混合速率逐年变化。

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