Abstract: The prediction model for rice planthopper occurrence period and occurrence extent was established by analyzing the main meteorological factors,based on monitoring data of the 2nd generation of rice planthopper from 1991 to 2010 and relative meteorological data in Huazhou city,Guangdong province.The results showed that there was an extreme significant negative correlation (P＜0.01）between the adult beginning peak period of the 2nd generation rice planthopper and the average lowest temperature in February and the average highest temperature from late March to early April,and there was an extreme significant positive correlation（P＜0.01）with relative humidity of March.There was an extreme significant negative correlation（P＜0.01）between the nymphl peak period and the average temperature from February to March and the average temperature from late March to early April.There was an extreme significant correlation（P＜0.01）between the occurrence extent and the average highest temperature from mid to late February,the average temperature from mid to late October and the sunshine hours in mid December last year.There was an extreme significant positive correlation (P＜0.01）between the attacked rice area and the average temperature of last October,and an extreme significant negative correlation (P＜0.01) with rainy days in last mid September and the humidity and temperature in mid March. Therefore,the meteorological predication model was proved to be used for predicting local rice planthopper occurrence.

Key words: Rice planthopper, Adult beginning peak period, Nymphl peak period, Occurrence extent, Attacked rice area, Prediction model