Articles
Early monitoring of insect vectors is the cornerstone of ESFY management
Article number
1450_28
Pages
215 – 220
Language
English
Abstract
Research carried out in recent years has provided answers to essential questions for a better understanding of the European stone fruit yellows (ESFY) epidemiology (e.g., vector psyllid species associated with the disease, geographical distribution of the vectors, role of wild versus cultivated reservoirs as a source of pathogen inoculum, psyllid population dynamics). This work has made it possible to establish that the use of prophylactic methods is the cornerstone of ESFY control, in the absence for the moment of other means of containing the disease (e.g., cultivar resistance). For ESFY, the main aim of prophylaxis is to prevent the arrival and intra-orchard circulation of infectious vectors in order to delay or slow down the epidemic dynamic.
In France, the implementation of the prophylaxis against ESFY depends for the most part on surveillance, based on a network of observations of psyllid flights.
The current strategy aims to characterize the epidemic risk on the basis of the first vectors observed near orchards in wild blackthorn clumps.
ESFY management could be further ‘enhanced’ if we were better able to anticipate (i.e., much further in advance) the arrival of psyllids in orchards on the basis of variables measurable in time and space, using a process of continuous data acquisition and real-time updating of the information acquired.
To this end, we describe work in progress aimed at integrating different layers of information (psyllid population dynamics, distribution maps of vector species, possible trajectories of psyllid dissemination by air masses, textual knowledge extracted by text-mining, meteorological data, etc.) to develop a decision-making tool accessible to fruit growers and other stakeholders.
In France, the implementation of the prophylaxis against ESFY depends for the most part on surveillance, based on a network of observations of psyllid flights.
The current strategy aims to characterize the epidemic risk on the basis of the first vectors observed near orchards in wild blackthorn clumps.
ESFY management could be further ‘enhanced’ if we were better able to anticipate (i.e., much further in advance) the arrival of psyllids in orchards on the basis of variables measurable in time and space, using a process of continuous data acquisition and real-time updating of the information acquired.
To this end, we describe work in progress aimed at integrating different layers of information (psyllid population dynamics, distribution maps of vector species, possible trajectories of psyllid dissemination by air masses, textual knowledge extracted by text-mining, meteorological data, etc.) to develop a decision-making tool accessible to fruit growers and other stakeholders.
Publication
Authors
N. Sauvion
Keywords
epidemiosurveillance, Cacopsylla pruni, phytoplasma, modeling, tropolink, artificial intelligence, natural language processing
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