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How to learn to recognize conspecific brood parasitic offspring

机译:如何学习识别Conspecific宿寄生的后代

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摘要

Recognition systems evolve to reduce the risk and costs of making recognition errors. Two main sources of recognition error include perceptual error (error arising from inability to discriminate between objects) and template error (error arising from using the wrong recognition template). We focus on how template error shapes host defence against avian brood parasites. Prior experiments in American coots (Fulica americana), a conspecific brood parasite, demonstrated how hosts learn to recognize brood parasitic chicks using predictable patterns of hatching order of host and parasite eggs. Here, we use these results to quantify the benefit of chick rejection as well as the cost of template error, and we then use mathematical models to explore fitness payoffs of chick recognition from different template acquisition mechanisms. We find that fitness differences between mechanisms do not fully explain aspects of the learning mechanism, such as why coots reacquire their recognition template each year. Other constraints arising from mating systems and genetic mechanisms likely influence which learning mechanism for parasitic chick recognition is optimal. Our approach highlights how mechanisms of template acquisition influence other recognition systems, including parasitic chick recognition in other brood parasite hosts.
机译:识别系统演变以降低识别错误的风险和成本。两个主要识别误差源包括感知错误(无法在对象之间区分对象之间的错误)和模板错误(使用错误识别模板而产生的错误)。我们专注于模板错误如何对禽房寄生虫进行主机防御。在美国Coots(Fulica Americana)的事先实验中,一种疗法寄生虫,证明了主持人如何使用宿主和寄生虫鸡蛋的孵化顺序的可预测模式来识别育雏寄生虫。在这里,我们使用这些结果来量化小鸡拒绝的益处以及模板错误的成本,然后我们使用数学模型从不同的模板采集机制探索小鸡识别的健身资金。我们发现机制之间的健身差异没有完全解释学习机制的方面,例如Coots每年重新识别其识别模板。交配系统和遗传机制产生的其他限制可能影响寄生小鸡识别的学习机制是最佳的。我们的方法突出了模板采集机制如何影响其他识别系统,包括其他育雏寄生虫宿主中的寄生小鸡识别。

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