摘要
调查了南通地区一代灰飞虱发生期内的历年旬平均温度,并将其分成不同气温类型,从而构建了二维数组变量,以灰飞虱在不同温度条件下的不同虫态历期模型为基础预测模型,以越冬代成虫始盛期为起点,通过选择一定的气温类型,采用不同虫态依次叠加预测方式和VB编程的方法,编制一代灰飞虱不同虫态发生期预测程序,构建预测软件。经2006-2009年的预测和验证,表明该预测软件操作简便,预测结果准确。
The average temperatures of past years' ten-day periods in which the first generation Laodelphax striatellus occurred in Nantong area were divided into different temperature levels to construct a two-dimensional array variable,the durations of L.striatellus at different developmental stages under different temperature conditions were used as a basic prediction model,the initial date of peak period of the overwintering adults was regarded as a starting point,and the software of predicting the occurrence period of the first generation L.striatellus at different developmental stages was developed by choosing a certain temperature level and using the sequential superposition of different developmental stages of L.striatellus and the Visual Basic programming method.The prediction and verification in 2006 - 2009 showed that the prediction software was easy to operate and the predicted result was accurate.
出处
《上海农业学报》
CSCD
北大核心
2010年第4期91-94,共4页
Acta Agriculturae Shanghai
基金
江苏省农业科技自主创新资金项目[CX(09)712]资助
关键词
灰飞虱
发生期
预测模型
VB编程
温度条件
Laodelphax striatellus
Occurrence period
Prediction model
VB programming
Temperature condition