中国农业气象 ›› 2013, Vol. 34 ›› Issue (03): 338-341.doi: 10.3969/j.issn.1000-6362.2013.03.014

• 论文 • 上一篇    下一篇

基于Fisher判别准则的河北省小麦白粉病气象条件中期预报模型

司丽丽,姚树然,闫峰   

  1. 1河北省保定市气象局,保定071000;2河北省气象科学研究所,石家庄050021)
  • 出版日期:2013-06-20 发布日期:2013-06-17
  • 作者简介:司丽丽(1978-),女,山东东阿人,硕士,工程师,主要从事农业气象及其它专业气象业务研究。 Email:sll_0312@163.com
  • 基金资助:
    公益性行业(气象)科研专项(GYHY201006026);河北省气象局集约基金项目“河北省小麦气传性病害气象预警技术及服务系统”

Mid term Prediction on Meteorological Factors for Wheat Powdery Mildew (Blumeria graminis) in Hebei Province Based on Fisher Criterion

SI Li li1, YAO Shu ran2, YAN Feng1   

  1. 1Baoding Meteorological Bureau, Baoding 071000, China; 2Institute of Meteorological Science in Hebei, Shijiazhuang 050021)
  • Online:2013-06-20 Published:2013-06-17

摘要: 将1983-2010年河北省麦区7个站点的白粉病发生程度与同期气象资料进行相关分析,初步明确了3月下旬-4月中旬平均相对湿度是影响病害流行的关键气象因子;t检验结果显示,河北省白粉病轻、重分布区的差异不显著,表明不必分区建立预测函数;通过Fisher判别准则,构建了白粉病发生程度的判别分级模型,其历史拟合率达到82.5%,2010年的试报准确率达到100%,表明模型预报效果较好。该模型的建立提高了对小麦白粉病预测的准确性,为小麦白粉病的早期防治提供了依据。

关键词: 小麦白粉病, t检验分区, Fisher准则, 中期预报

Abstract: Correlation analysis between wheat powdery mildew occurrence data of 7 stations in Hebei province and meteorological data in corresponding period from 1983 to 2010 was made. It was confirmed that the average relative humidity during late March to middle April was the key factor for the epidemic disease. There was no significant difference between slight and serious areas in Hebei province by using of the T test for the difference of disease occurrence.It is not necessary to establish different prediction models for different regions. Discriminant classifying models for wheat powdery mildew were established by using of Fisher criterion. The model accuracy reached 82.5% based on evaluation for the historical data, and the forecasting result in the year of 2010 displayed that the accuracy was 100%. In general, the forecasting accuracy of powdery mildew was raised by establishing the models, and these models provide a solid foundation for wheat powdery mildew forecasting and early control on wheat.

Key words: Wheat powdery mildew, T test, Fisher criterion, Mid term prediction