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首页> 外文期刊>Berichte des Meteorologischen Institutes der Universitat Freiburg >Forecasting epidemic outbreaks of wheat leaf blotch based on meteorological parameters
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Forecasting epidemic outbreaks of wheat leaf blotch based on meteorological parameters

机译：基于气象参数的小麦叶斑病流行预测

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摘要

Agricultural crops like wheat are under permanent pressure from plant diseases. In wheat, leaf blotch caused by the fungus Septoria tritici is the economically most important disease in the humid regions of Europe. Crucial steps of the pathogen's life cycle depend on the availability of liquid water and moderate temperatures. Between 2003 and 2009, four fields with winter wheat were equipped with automatic meteorological stations and with dielectric leaf wetness sensors from DECAGON DEVICES. Additionally, the level of disease was observed once a week during the growing season. Provided that the pathogen is present in a specific plot, the point of time when leaves are infected can be predicted based on standard meteorological measurements and leaf wetness data. The actual time of infection is particularly important, because fungicides are most effective when being applied during infection. If leaf wetness data are not recorded, they can be estimated from standard meteorological measurements using a non-linear statistical approach.
机译：小麦等农作物受到植物病害的永久压力。在小麦中，由真菌Septic tritici引起的叶斑病是欧洲潮湿地区在经济上最重要的疾病。病原体生命周期的关键步骤取决于液态水的可用性和适中的温度。从2003年到2009年，四个冬小麦田都配备了自动气象站和DECAGON DEVICES的介电叶片湿度传感器。另外，在生长季节每周观察一次疾病水平。如果病原体存在于特定区域中，则可以基于标准气象测量和叶片湿度数据预测叶片被感染的时间点。实际感染时间特别重要，因为在感染过程中使用杀菌剂最有效。如果未记录叶片湿度数据，则可以使用非线性统计方法根据标准气象测量值进行估算。

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