Multiple Linear Regression and Discriminant Analysis of Meteorological Factors and Pest Population Density of Cryptorrhynchus lapathi

[Objective] The aim was to study the influence of the meteorological factors on population density of Cryptorrhynchus lapathi.[Method] The influence of the lowest temperature,the highest temperature,the mean temperature and the precipitation from January to December on population density of Cryptorrhynchus lapathi was studied by multiple linear regression and discriminant analysis.[Result] Regression model was established,which was y=0.781+0.021x16+0.004x26+0.058x20+0.015x23+0.055x34.Prediction accuracy of the model achieved to the basic requirements.The relationship of independent variables of multiple linear regression model and dependent variable was analyzed by discriminant analysis.The important meteorological factors impacting the population density of Cryptorhynchus lapathi were further determined.They were the lowest temperature of April(x34),the highest temperature of February(x23),the mean temperature of January(x16),the mean temperature of March(x26) and the precipitation of January(x20).[Conclusion] The important meteorological factors affecting Cryptorhynchus lapathi population density were the lowest temperature of April(x34),the highest temperature of February(x23),the mean temperature of January(x16),the mean temperature of March(x26) and the precipitation of January(x20).