Barley yellow dwarf virus (BYDV) is one of the most important viral diseases of small grains worldwide. An understanding of its epidemiology is crucial to control this disease in a sustainable way. The virus moves through the agricultural landscape via cereal aphids as vectors. Understanding movement of these aphids in space and time is of key importance and in doing so, the spatial and temporal variables that influence BYDV epidemiology can be identified. The presence of summer hosts, crop rotation, crop diversity, agricultural practices and climate variables are crucial. Through digitalization, spatial (e.g. land‐use) and temporal (e.g. weather) information is becoming more readily available. Including this information into a prediction model could improve decision support systems that will rationalize the decision‐making process towards a more integrated control of the disease. © 2020 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

中文翻译：

---

确定大麦黄矮病毒流行病学中时空动态的驱动因素，作为疾病控制的关键因素。

大麦黄矮病毒（BYDV）是世界范围内最重要的小颗粒病毒性疾病之一。了解其流行病学对于以可持续的方式控制这种疾病至关重要。该病毒通过谷物蚜虫作为载体在农业环境中传播。了解这些蚜虫在空间和时间上的运动至关重要，因此，可以确定影响BYDV流行病学的时空变量。夏季寄主的存在，作物轮作，作物多样性，农业作法和气候变量至关重要。通过数字化，空间（例如土地使用）和时间（例如天气）信息变得越来越容易获得。将这些信息包含在预测模型中可以改善决策支持系统，从而使决策过程合理化，从而实现对疾病的更全面控制。©2020作者。John Wiley＆Sons Ltd代表化学工业协会出版的《害虫管理科学》。