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植物病原菌孢子捕捉和监测—助力植物病害管理

王奥霖 周益林 范洁茹 徐飞 陈莉 曹世勤 王万军 孙振宇 刘伟 胡小平

植物保护2025,Vol.51Issue(1):1-19,19.
植物保护2025,Vol.51Issue(1):1-19,19.DOI:10.16688/j.zwbh.2024437

植物病原菌孢子捕捉和监测—助力植物病害管理

Catching and monitoring airborne inoculum of plant pathogens:improving plant disease management

王奥霖 1周益林 2范洁茹 2徐飞 3陈莉 4曹世勤 5王万军 6孙振宇 5刘伟 2胡小平7

作者信息

  • 1. 中国农业科学院植物保护研究所,植物病虫害综合治理全国重点实验室,北京 100193||西北农林科技大学植物保护学院,作物抗逆与高效生产全国重点实验室,杨凌 712100
  • 2. 中国农业科学院植物保护研究所,植物病虫害综合治理全国重点实验室,北京 100193
  • 3. 河南省农业科学院植物保护研究所,农业农村部华北南部作物有害生物综合治理重点实验室,郑州 450002
  • 4. 安徽农业大学植物保护学院,作物有害生物综合治理安徽省重点实验室,合肥 230036
  • 5. 甘肃省农业科学院植物保护研究所,兰州 730070
  • 6. 甘肃省天水市农业科学研究所,天水 741000
  • 7. 西北农林科技大学植物保护学院,作物抗逆与高效生产全国重点实验室,杨凌 712100
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摘要

Abstract

In agricultural ecosystems,plants of all types are under constant threat from various pathogens.Many high-risk plant pathogens are airborne and can be transmitted over very long distances across regions in a single step via high-altitude air currents.To minimize the use of fungicides for managing diseases spread by air,it is imperative to closely monitor airborne inoculum.Monitoring airborne inoculum provides an effective early warning system for growers and government agencies,offering valuable insights for disease risk assessment and management decisions.In recent years,advancements in molecular detection technologies have expanded the application of inoculum-monitoring data in plant disease management.This review summarizes recent progress in spore sampling technologies to improve disease management strategy,focusing on aspects of disease epidemiology,pathogen biology,and aerodynamics.We also address key main considerations for implementing airborne inoculum monitoring.With the rapid advancement of technologies such as the internet of Things,big data,and artificial intelligence,airborne inoculum monitoring is encountering new opportunities and challenges.Future research should focus on integrating these technologies to enhance data acquisition,analysis,interpretation and sharing.In other words,there is a growing need for inoculum-based monitoring and prediction technologies to achieve a deeper integration of surveillance networks,informatization,and intelligence.

关键词

植物病害流行学/空气生物学/病菌孢子捕捉/植物病害监测预警/病害管理决策系统

Key words

plant disease epidemiology/aerobiology/spore trapping/monitoring and prediction of plant diseases/decision support systems in disease management

分类

农业科技

引用本文复制引用

王奥霖,周益林,范洁茹,徐飞,陈莉,曹世勤,王万军,孙振宇,刘伟,胡小平..植物病原菌孢子捕捉和监测—助力植物病害管理[J].植物保护,2025,51(1):1-19,19.

基金项目

国家自然科学基金(32072359) (32072359)

植物保护

OA北大核心

0529-1542

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