OBTAINING WEATHER DATA FOR INPUT TO CROP DISEASE-WARNING SYSTEMS: LEAF WETNESS DURATION AS A CASE STUDY

被引：40

作者：

Gleason, Mark L. ^{[1
]}

Duttweiler, Katrina B. ^{[1
]}

Batzer, Jean C. ^{[1
]}

Taylor, S. Elwynn ^{[2
]}

Sentelhas, Paulo Cesar ^{[3
]}

Boffino Almeida Monteiro, Jose Eduardo ^{[3
]}

Gillespie, Terry J. ^{[4
]}

机构：

[1] Iowa State Univ, Dept Plant Pathol, Ames, IA 50011 USA

[2] Iowa State Univ, Dept Agron, Ames, IA 50011 USA

[3] USP ESALQ, Depto Ciencias Exatas, BR-13418900 Piracicaba, SP, Brazil

[4] Univ Guelph, Dept Land Resource Sci, Guelph, ON N1G 2W1, Canada

来源：

SCIENTIA AGRICOLA | 2008年 / 65卷

关键词：

integrated pest management; site-specific weather data; disease forecasting; disease prediction; sustainable agriculture;

D O I：

10.1590/S0103-90162008000700013

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Disease-warning systems are decision support tools designed to help growers determine when to apply control measures to suppress crop diseases. Weather data are nearly ubiquitous inputs to warning systems. This contribution reviews ways in which weather data are gathered for use as inputs to disease-warning systems, and the associated logistical challenges. Grower-operated weather monitoring is contrasted with obtaining data from networks of weather stations, and the advantages and disadvantages of measuring vs. estimating weather data are discussed. Special emphasis is given to leaf wetness duration (LWD), not only because LWD data are inputs to many disease-warning systems but also because accurate data are uniquely challenging to obtain. It is concluded that there is no single "best" method to acquire weather data for use in disease-warning systems; instead, local, regional, and national circumstances are likely to influence which strategy is most successful.

引用

页码：76 / 87

页数：12

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