An improved delimiting survey approach for Xylella fastidiosa

The EU plant health legislation enforces the implementation of intensive surveillance programs for Xylella fastidiosa (Xf) as a quarantine pathogen (Commission Implementing Regulation (EU) 2020/1201). After a Xf outbreak, delimiting surveys must be implemented to delineate the extent of the pathogen...

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Main Authors: Lázaro, Elena, Conesa, David, López-Quílez, Antonio, Dalmau, Vicente, Ferrer, Amparo, Vicent, Antonio
Format: poster
Language:Inglés
Published: 2022
Subjects:
Online Access:http://hdl.handle.net/20.500.11939/8127
https://www.efsa.europa.eu/sites/default/files/event/210426-xylella-conf-book-abstracts.pdf#page=144
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author Lázaro, Elena
Conesa, David
López-Quílez, Antonio
Dalmau, Vicente
Ferrer, Amparo
Vicent, Antonio
author_browse Conesa, David
Dalmau, Vicente
Ferrer, Amparo
Lázaro, Elena
López-Quílez, Antonio
Vicent, Antonio
author_facet Lázaro, Elena
Conesa, David
López-Quílez, Antonio
Dalmau, Vicente
Ferrer, Amparo
Vicent, Antonio
author_sort Lázaro, Elena
collection ReDivia
description The EU plant health legislation enforces the implementation of intensive surveillance programs for Xylella fastidiosa (Xf) as a quarantine pathogen (Commission Implementing Regulation (EU) 2020/1201). After a Xf outbreak, delimiting surveys must be implemented to delineate the extent of the pathogen and to execute disease control. The surveillance efficacy can be enhanced by increasing inspection and sampling intensities. Budget constraints often limit survey efforts, thus making it necessary the optimization of surveillance strategies.
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institution Instituto Valenciano de Investigaciones Agrarias (IVIA)
language Inglés
publishDate 2022
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spelling ReDivia81272025-04-25T14:54:37Z An improved delimiting survey approach for Xylella fastidiosa Lázaro, Elena Conesa, David López-Quílez, Antonio Dalmau, Vicente Ferrer, Amparo Vicent, Antonio Adaptative sampling Bayesian spatial statistics Survey design H20 Plant diseases U40 Surveying methods U10 Mathematical and statistical methods Xylella fastidiosa The EU plant health legislation enforces the implementation of intensive surveillance programs for Xylella fastidiosa (Xf) as a quarantine pathogen (Commission Implementing Regulation (EU) 2020/1201). After a Xf outbreak, delimiting surveys must be implemented to delineate the extent of the pathogen and to execute disease control. The surveillance efficacy can be enhanced by increasing inspection and sampling intensities. Budget constraints often limit survey efforts, thus making it necessary the optimization of surveillance strategies. 2022-05-18T14:15:44Z 2022-05-18T14:15:44Z 2021 poster Lázaro, E., Conesa, D., López-Quílez, A., Dalmau, V., Ferrer-Matoses, A. & Vicent, A. (2021). An improved delimiting survey approach for Xylella fastidiosa. 3rd European conference on Xylella fastidiosa and XF-ACTORS final meeting, [Poster presentation], 143. http://hdl.handle.net/20.500.11939/8127 https://www.efsa.europa.eu/sites/default/files/event/210426-xylella-conf-book-abstracts.pdf#page=144 en 3rd European conference on Xylella fastidiosa and XF-ACTORS On-line Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess electronico
spellingShingle Adaptative sampling
Bayesian spatial statistics
Survey design
H20 Plant diseases
U40 Surveying methods
U10 Mathematical and statistical methods
Xylella fastidiosa
Lázaro, Elena
Conesa, David
López-Quílez, Antonio
Dalmau, Vicente
Ferrer, Amparo
Vicent, Antonio
An improved delimiting survey approach for Xylella fastidiosa
title An improved delimiting survey approach for Xylella fastidiosa
title_full An improved delimiting survey approach for Xylella fastidiosa
title_fullStr An improved delimiting survey approach for Xylella fastidiosa
title_full_unstemmed An improved delimiting survey approach for Xylella fastidiosa
title_short An improved delimiting survey approach for Xylella fastidiosa
title_sort improved delimiting survey approach for xylella fastidiosa
topic Adaptative sampling
Bayesian spatial statistics
Survey design
H20 Plant diseases
U40 Surveying methods
U10 Mathematical and statistical methods
Xylella fastidiosa
url http://hdl.handle.net/20.500.11939/8127
https://www.efsa.europa.eu/sites/default/files/event/210426-xylella-conf-book-abstracts.pdf#page=144
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