摘要
黄瓜霜霉病是常年发生的重要灾变病害,为研究该病的中期预警技术,利用上海市奉贤区1999—2015年的测报调查资料,用数理统计方法筛选出影响该病发生的预警关键因子,包括春黄瓜3月—4月上旬和秋黄瓜8月下旬—9月的旬均株发病率、旬平均气温、累计雨量、累计日照时数、累计雨日及因变量3月—6月上旬和8月下旬—10月的旬均株发病率。分别建立了春、秋季的黄瓜霜霉病预警数学模型,预警效果的符合率均达95%以上。
In order to explore the mid-term warning technology of Pseudoperonospora cubensis,a perennial major catastrophic disease,we summarized the survey data accumulated in Fengxian District,Shanghai from 1999 to 2015.The mathematical statistics was used to screen out the key early-warning factors that affect the occurrence of P.cubensis,including the average incidence rates of spring cucumber from March to early April and autumn cucumber from late August to September,the average temperature,accumulated rainfall,accumulated light hours,accumulated rain days and the dependent variables of the plant incidence rates from March to early June and from late August to October.We established early-warning models about P.cubensis of spring and autumn cucumber whose compliance rate of early warning effect could be as high as 95%.
作者
杨银娟
鞠中安
曹婷婷
俞懿
施颖红
唐玉英
郭欣欣
YANG Yin-juan;JU Zhong-an;CAO Ting-ting;YU Yi;SHI Ying-hong;TANG Yu-ying;GUO Xin-xin(Vegetable Technology Extension Station of Fengxian District,Shanghai 201499,China;Shanghai Agro-Technology Extension Service Center,Shanghai 201103,China;Plant Protection and Quarantine Bureau of Zhejiang Province,Hangzhou 310020,China)
出处
《上海农业学报》
2019年第1期53-57,共5页
Acta Agriculturae Shanghai
基金
上海市科委项目(9312009Y1086)
上海市农委生态农业关键技术研究攻关项目[沪农科攻字(2013)第5-3号]
关键词
黄瓜霜霉病
多因子分析
预警模型
Pseudoperonospora cubensis
Multi-factor analysis
Early-warning mode
