回归分析在小麦蚜虫预测中的应用——以豫南正阳县为例  

Application of Regression Analysis in Wheat Aphid Prediction-Taking Zhengyang County in the South of Henan Province as an Example

作　　者：陈敏 崔传梅 Chen Min;Cui Chuanmei(School of Mathematics and Statistics,Huanghuai University,Zhumadian 463000,Henan,China;Zhengyang County Garden Technology Promotion Center,Zhengyang 463600,Henan,China)

机构地区：[1]黄淮学院数学与统计学院,河南驻马店463000 [2]正阳县园林技术推广中心,河南正阳463600

出　　处：《农业技术与装备》2020年第2期50-51,53,共3页Agricultural Technology & Equipment

基　　金：《基于大数据的豫南地区小麦蚜虫发生程度预测模型的研究》,科技攻关(农业),项目编号:182102110292。

摘　　要：小麦蚜虫是小麦生长过程中常见的害虫,不加以预防和消灭会破坏小麦的生长结构,影响小麦的最终产量。以小麦成长过程中小麦穗蚜为研究对象,根据河南省驻马店市正阳县2011年—2019年小麦穗蚜的发生情况,用线性回归的方法分析影响小麦穗蚜发生的关键气象因素,并建立线性回归预测模型:Y=123.589+28.961X18-7.435X12。Wheat aphids are common pests in the process of wheat growth.If not prevented and eliminated,they will destroy the growth structure of wheat and affect the final harvest of wheat.This paper takes wheat aphids as the research object during wheat growth.According to Zhengmadian City,Henan Province,The occurrence of wheat ear aphids in Yangxian from 2011 to 2019.The key meteorological factors affecting wheat ear aphids were analyzed using linear regression methods,and a linear regression prediction model was established:Y=123.589+28.961X18-7.435X12.

关 键 词：小麦穗蚜 回归分析 预测模型 

分 类 号：S435.122.2[农业科学—农业昆虫与害虫防治]