Abstract: Wheat stripe rust which can diffuse throw upper-air wind is one of pandemic diseases causing severe losses in China. In this article, forecast of wheat stripe rust was conducted based on the occurrence data of this disease and the climate data including temperature、humidity、rainfall and 300hPa、400hPa、500hPa、700hPa、850hPa upper-air wind collected from Pingliang in Gansu province, Hanzhong in Shanxi province and Zhengzhou in Henan province. Using principal component analysis and discriminant analysis to research the relation of the wheat stripe rust epidemic in these three places, and discuss the effect of upper-air wind in the epidemics of wheat stripe rust. The result showed that: there is a very intimate relation in the three areas and the upper-air wind data could be used to forecast the long-distance dispersal of wheat stripe rust .The forecast accuracy which used upper-air wind data were higher than that not be used. Especially in the condition of using 500hPa upper-air wind, the backtrack accuracy is 100%, the cross-validation accuracy is all above 80% , the best is cross-validation accuracy is 93.75%.