Monitoring And Early Warning System For Wheat Head Blight Based On Meteorological Similar Years

Fusarium head blight(FHB)of wheat is one of the main diseases of wheat in Anhui province.In recent years,with the changes of climate conditions and factors such as straws incorporation,the occurrence area and damage degree of fusarium head blight in Anhui province has increased year by year.At present,the serious areas had spread from the Yangtze River and Jianghuai area to the Huaibei area,perennial occurrence area up to about 20000000 hectares.Therefore,it is urgent to increase the monitoring and early warning of fusarium head blight.In this paper,the monitoring and early warning system of fusarium head blight was built by the meteorological similarity method.The system contains data monitoring,data query,prediction and system maintenance.The main results were as follows:1.Constructed the basic forecast databases of fusarium head blightDatabases were the basis for forecasting the occurrence of FHB.In this paper,the meteorological data,insect and pests' data,spatial data and so on had been collected from different counties and cities in Anhui province.After data cleaning,transformation and classification,the databases of fusarium head blight were established.The databases contain meteorological database,disease database,spatial database and case database.2.Constructed the monitoring and early warning system of fusarium head blight based on the similar meteorological yearMonitoring and early warning system of fusarium head blight based on Meteorological similar years was constructed by PowerBuilder and SQL Server 2005.This system could meet the general requirements of plant protection work,including collection and report data,query data,graphical analysis and display data.3.Detection of the monitoring and early warning system for fusarium head blightThe monitoring and early warning system was tested by the incidence of fusarium head blight data in 6 ecological zones of Anhui province in 2016.The similar year of weather was found out by this system.Combined fusarium head blight occurrence in the similar year with the actual meteorological conditions in 2016 to predict incidence of FBH.The results proved the feasibility and accuracy of monitoring and early warning system.Combined fusarium head blight occurrence in the similar year with the actual meteorological conditions in 2017 to predict incidence of FBH.Then guide the farmers toprevent and control FBH.