Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence

Author:

Soubeyrand S.ORCID,Estoup A.,Cruaud A.,Malembic-Maher S.,Meynard C.,Ravigné V.,Barbier M.,Barrès B.,Berthier K.,Boitard S.,Dallot S.,Gaba S.,Grosdidier M.,Hannachi M.,Jacques M.-A.,Leclerc M.,Lucas P.,Martinetti D.,Mougel C.,Robert C.,Roques A.,Rossi J.-P.,Suffert F.,Abad P.,Auger-Rozenberg M.-A.,Ay J.-S.,Bardin M.,Bernard H.,Bohan D. A.,Candresse T.,Castagnone-Sereno P.,Danchin E. G. J.,Delmas C. E. L.,Ezanno P.,Fabre F.,Facon B.,Gabriel E.,Gaudin J.,Gauffre B.,Gautier M.,Guinat C.,Lavigne C.,Lemaire O.,Martinez C.,Michel L.,Moury B.,Nam K.,Nédellec C.,Ogliastro M.,Papaïx J.,Parisey N.,Poggi S.,Radici A.,Rasplus J.-Y.,Reboud X.,Robin C.,Roche M.,Rusch A.,Sauvion N.,Streito J.-C.,Verdin E.,Walker A.-S.,Xuéreb A.,Thébaud G.,Morris C. E.

Abstract

AbstractIn an era marked by rapid global changes, the reinforcement and modernization of plant health surveillance systems have become imperative. Sixty-five scientists present here a research agenda for an enhanced and modernized plant health surveillance to anticipate and mitigate disease and pest emergence. Our approach integrates a wide range of scientific fields (from life, social, physical and engineering sciences) and identifies the key knowledge gaps, focusing on anticipation, risk assessment, early detection, and multi-actor collaboration. The research directions we propose are organized around four complementary thematic axes. The first axis is the anticipation of pest emergence, encompassing innovative forecasting, adaptive potential, and the effects of climatic and cropping system changes. The second axis addresses the use of versatile broad-spectrum surveillance tools, including molecular or imaging diagnostics supported by artificial intelligence, and monitoring generic matrices such as air and water. The third axis focuses on surveillance of known pests from new perspectives, i.e., using novel approaches to detect known species but also anticipating and detecting, within a species, the populations or genotypes that pose a higher risk. The fourth axis advocates the management of plant health as a commons through the establishment of multi-actor and cooperative surveillance systems for long-term data-driven alert systems and information dissemination. We stress the importance of integrating data and information from multiple sources through open science databases and metadata, alongside developing methods for interpolating and extrapolating incomplete data. Finally, we advocate an Integrated Health Surveillance approach in the One Health context, favoring tailored and versatile solutions to plant health problems and recognizing the interconnected risks to the health of plants, humans, animals and the environment, including food insecurity, pesticide residues, environmental pollution and alterations of ecosystem services.

Funder

Agence Nationale de la Recherche

FranceAgriMer

SuMCrop program of INRAE

French National Scientific Program PEPR MathsVives

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3