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Management of Subdivided Populations in Conservation Programs: Development of a Novel Dynamic System

机译:保护项目中的细分种群管理:新型动态系统的开发

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Within the context of a conservation program the management of subdivided populations implies a compromise between the control of the global genetic diversity, the avoidance of high inbreeding levels, and, sometimes, the maintenance of a certain degree of differentiation between subpopulations. We present a dynamic and flexible methodology, based on genealogical information, for the maximization of the genetic diversity (measured through the global population coancestry) in captive subdivided populations while controlling/restricting the levels of inbreeding. The method is able to implement specific restrictions on the desired relative levels of coancestry between and within subpopulations. By accounting for the particular genetic population structure, the method determines the optimal contributions ( i.e ., number of offspring) of each individual, the number of migrants, and the particular subpopulations involved in the exchange of individuals. Computer simulations are used to illustrate the procedure and its performance in a range of reasonable scenarios. The method performs well in most situations and is shown to be more efficient than the commonly accepted one-migrant-per-generation strategy.
机译:在一项保护计划的范围内,对细分种群的管理意味着在全球遗传多样性的控制,避免近交高水平以及有时维持亚种群之间一定程度的分化之间的折衷。我们提供了一种基于族谱信息的动态而灵活的方法,以在控制/限制近交水平的同时,最大化圈养细分人群的遗传多样性(通过全球人口共同测量)。该方法能够对子种群之间和之内的祖先的期望相对水平实施特定限制。通过考虑特定的遗传种群结构,该方法确定了每个个体的最佳贡献(即,后代的数量),移民的数量以及参与个体交换的特定亚群。使用计算机仿真来说明该程序及其在一系列合理情况下的性能。该方法在大多数情况下效果很好,并且被证明比普遍接受的每代移民一个策略更有效。

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