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Modelling gastrointestinal parasitism infection in a sheep flock over two reproductive seasons: in silico exploration and sensitivity analysis

机译:在两个繁殖季节中模拟绵羊群中胃肠道寄生虫感染:计算机分析和敏感性分析

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摘要

In reproducing ewes, a periparturient breakdown of immunity is often observed to result in increased fecal egg excretion, making them the main source of infection for their immunologically naive lambs. In this study, we expanded a simulation model previously developed for growing lambs to explore the impact of the genotype (performance and resistance traits) and host nutrition on the performance and parasitism of both growing lambs and reproducing ewes naturally infected with Teladorsagia circumcincta. Our model accounted for nutrient-demanding phases, such as gestation and lactation, and included a supplementary module to manage the age structure of the ewe flock. The model was validated by comparison with published data. Because model parameters were unknown or poorly estimated, detailed sensitivity analysis of the model was performed for the sheep mortality and the level of infection, following a preliminary screening step. The parameters with the greatest effect on parasite-related outputs were those driving animal growth and milk yield. Our model enables different parasite-control strategies (host nutrition, breeding for resistance and anthelmintic treatments) to be assessed on the long term in a sheep flock. To optimize in silico exploration, the parameters highlighted by the sensitivity analysis should be refined with real data.
机译:在繁殖的母羊中,经常观察到围产期免疫力下降导致粪便卵排泄增加,使其成为免疫上幼稚的羔羊的主要感染源。在这项研究中,我们扩展了先前为生长中的羔羊开发的模拟模型,以探索基因型(性能和抗性性状)和寄主营养对生长中的羔羊和自然感染了圆角拟南芥的母羊的性能和寄生性的影响。我们的模型考虑了营养需求阶段,例如妊娠和泌乳,并包括一个补充模块来管理母羊群的年龄结构。通过与发布的数据进行比较来验证该模型。由于模型参数未知或估计不充分,因此在初步筛选步骤之后,针对绵羊死亡率和感染水平进行了详细的模型敏感性分析。对寄生虫相关产量影响最大的参数是那些驱动动物生长和牛奶产量的参数。我们的模型可以长期评估羊群的不同寄生虫控制策略(宿主营养,抗性育种和驱虫治疗)。为了优化计算机勘探,应使用真实数据完善灵敏度分析突出显示的参数。

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