Innovations in air sampling to detect plant pathogens.

Innovations in air sampling to detect plant pathogens.
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DOI:
10.1111/aab.12191
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发表时间:
2015-01
期刊:
The Annals of applied biology
影响因子:
--
通讯作者:
Kimber R
Kimber R
中科院分区:
其他
文献类型:
--
作者:
West J;Kimber R

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许多创新的发展和使用的空气采样装置已经发生在植物病理学自从赫斯特孢子陷阱的第一次描述。其中包括在相对较高的空气量收集率下提高捕获效率,通过下游诊断方法提高样品处理的便利性,甚至实现采样、诊断和无线结果报告的完全自动化。其他创新还包括将空气采样器安装在无人机和地面车辆等移动平台上,以便在短时间内在不同高度和位置进行采样,以确定潜在的污染源和人口结构。地理信息系统和对采样网络的应用可以更好地预测空气中的接种和扩散动态。这一技术领域正在迅速发展,因为新的诊断方法可以越来越快速和准确地定量空气传播的物种和遗传特征。通过了解空气扩散和稀释过程的组成部分,可以改进结果的抽样和解释,特别是行动阈值,并可以提高作物保护产品作为病虫害综合管理决策的一部分的应用精度。空气采样器的应用可能会增加,种植者或行业支持人员将更多地采用空气采样器,以帮助制定作物保护决策。同样的设备可能会改善用于检测引起花粉热和哮喘的过敏原的信息,或为区域植物病害动态提供有价值的元数据。
Many innovations in the development and use of air sampling devices have occurred in plant pathology since the first description of the Hirst spore trap. These include improvements in capture efficiency at relatively high air-volume collection rates, methods to enhance the ease of sample processing with downstream diagnostic methods and even full automation of sampling, diagnosis and wireless reporting of results. Other innovations have been to mount air samplers on mobile platforms such as UAVs and ground vehicles to allow sampling at different altitudes and locations in a short space of time to identify potential sources and population structure. Geographical Information Systems and the application to a network of samplers can allow a greater prediction of airborne inoculum and dispersal dynamics. This field of technology is now developing quickly as novel diagnostic methods allow increasingly rapid and accurate quantifications of airborne species and genetic traits. Sampling and interpretation of results, particularly action-thresholds, is improved by understanding components of air dispersal and dilution processes and can add greater precision in the application of crop protection products as part of integrated pest and disease management decisions. The applications of air samplers are likely to increase, with much greater adoption by growers or industry support workers to aid in crop protection decisions. The same devices are likely to improve information available for detection of allergens causing hay fever and asthma or provide valuable metadata for regional plant disease dynamics.
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