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Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case of Gazella cuvieri

机译:育种策略优化低人口普查俘虏群体的有效人口规模:凯泽斯·富尔蒂的案例

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摘要

Small-sized populations frequently undergo a significant loss of genetic variability that can lead to their extinction. Therefore, research on animal breeding has focused on mating systems for minimizing the disappearance of genetic variability. Minimizing the average coancestry of offspring has been described as the best strategy for this purpose. Traditionally, the preservation of genetic variability has been approached via breeding strategies for increasing the effective population size (Ne). The main objective of this study was to compare, via computer simulations, the performance of different breeding schemes to limit the losses of genetic diversity in small populations. This objective was achieved by monitoring the evolution of the effective size obtained by different strategies across 20 generations with a starting point of two pedigree real populations of Gazella cuvieri. The results showed that minimizing average coancestry in a cohort did not maximize the effective size as compared with new strategies that were designed for this study. Furthermore, the best strategy may vary for each population and should be studied individually.
机译:小型人口经常经历显着的遗传变异损失,可能导致它们的灭绝。因此,对动物育种的研究专注于配合系统,以最大限度地减少遗传变异性的消失。最小化后代的平均同步已经被描述为此目的的最佳策略。传统上,通过育种策略来促进遗传变异的保存,以增加有效的人口大小(NE)。本研究的主要目标是通过计算机模拟进行比较不同育种计划的性能,以限制小群体中遗传多样性的损失。通过监测在20代跨越20代的不同策略获得的有效规模的演变,实现了这一目标,其中包括Gazella Cuvieri的两种谱系实际群体的出发点。结果表明,与为本研究专门的新策略相比,队列中的平均同步最小化并未最大限度地提高了有效尺寸。此外,最佳策略可能因每种人群而异,应单独研究。

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