假眼小绿叶蝉种群活动高峰始盛期预测模型的研究

Study on prediction models of beginning period of Empoasca vitis activity peak

  • 摘要: 通过建立线性回归-时间序列AR(PEmpoasca vitis)活动高峰始盛期的方法,从而提前了虫灾预测的发布时间。并将该方法应用于福建省福安茶区,对防治害虫、减少农药用量、优化茶园生态有较好效果。

     

    Abstract: Based on establishing the combinative prediction models AR (P)of the linear regression and time series,a method for prediction of beginning period of activity peak of Empoasca vitis next year,by using observed values of climatic factions in last year,was proposed.Therefore one can advance the announcement date of pest disaster explosion.The prediction practices in Fu’an tea field,Fujian Province,indicate that this combinative prediction method is a feasible mean .

     

/

返回文章
返回