4.4 Review

Innovations in air sampling to detect plant pathogens

期刊

ANNALS OF APPLIED BIOLOGY
卷 166, 期 1, 页码 4-17

出版社

WILEY
DOI: 10.1111/aab.12191

关键词

Aerobiology; cyclone; diagnostics; GIS; IDM; IPM; UAV; virtual impactor

资金

  1. Innovate UK
  2. Syngenta
  3. BBSRC (UK)
  4. AHDB HGCA
  5. SYield consortium
  6. Defra
  7. European Union [265865]
  8. CRC Plant Biosecurity
  9. GRDC (Australia)
  10. Engineering and Physical Sciences Research Council [TS/I000739/1] Funding Source: researchfish
  11. EPSRC [TS/I000739/1] Funding Source: UKRI

向作者/读者索取更多资源

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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