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运用模糊矩阵预测延安地区烟草生长期烟粉虱的发生量

徐世才 陈邦凯 陈雅梅

烟草科技2017,Vol.50Issue(1):25-29,5.
烟草科技2017,Vol.50Issue(1):25-29,5.DOI:10.16135/j.issn1002-0861.2016.0155

运用模糊矩阵预测延安地区烟草生长期烟粉虱的发生量

Predicting Bemisia tabaci population during tobacco growing by fuzzy matrix

徐世才 1陈邦凯 1陈雅梅1

作者信息

  • 1. 延安大学生命科学学院,陕西省延安市杨家岭 716000
  • 折叠

摘要

Abstract

To effectively and timely control Bemisia tabaci, the main meteorological factors affecting the occurrence of Bemisia tabaci at tobacco growing stages were screened on the basis of meteorological data and population survey data from 2003 to 2013. Fuzzy matrices were established, and their prediction effects were validated with the meteorological data and survey data in 2014. The results showed that the levels of population of Bemisia tabaci predicted by the established fuzzy matrices agreed with the actual levels from 2003 to 2014. Therefore, the occurrence level of Bemisia tabaci at tobacco growth stage could be successfully predicted with fuzzy matrix and the prediction effect could be used as a tool to control Bemisia tabaci population.

关键词

烟草/烟粉虱/发生量/模糊矩阵/气象因子

Key words

Tobacco/Bemisia tabaci/Population/Fuzzy matrix/Meteorological factor

分类

农业科技

引用本文复制引用

徐世才,陈邦凯,陈雅梅..运用模糊矩阵预测延安地区烟草生长期烟粉虱的发生量[J].烟草科技,2017,50(1):25-29,5.

基金项目

陕西省高水平大学建设专项资金项目“生态学”(2012SXTS03);延安市科学科技惠民项目“东亚钳蝎工厂化养殖技术研究与应用”(2014HM-04);延安大学引导项目“陕北烟区烟粉虱的发生规律及其有机防控”(YD2015-11)。 ()

烟草科技

OA北大核心CSCDCSTPCD

1002-0861

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