Guidelines for statistically sound and risk-based surveys of Phyllosticta citricarpa
At the request of the European Commission, EFSA prepared these specific guidelines to guide the surveyor through the design of statistically sound and risk-based surveys for Phyllosticta citricarpa, integrating the key biological information. Based on examples, three different survey designs are sim...
| Autores principales: | , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley Online Library
2021
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/7471 https://efsa.onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2020.EN-1893 |
| _version_ | 1855032612707368960 |
|---|---|
| author | Lázaro, Elena Parnell, Stephen Vicent, Antonio Schans, Jan Schenk, Martijn Schrader, Gritta Cortinas-Abrahantes, Jose Zancanaro, Gabriele Vos, Sybren |
| author_browse | Cortinas-Abrahantes, Jose Lázaro, Elena Parnell, Stephen Schans, Jan Schenk, Martijn Schrader, Gritta Vicent, Antonio Vos, Sybren Zancanaro, Gabriele |
| author_facet | Lázaro, Elena Parnell, Stephen Vicent, Antonio Schans, Jan Schenk, Martijn Schrader, Gritta Cortinas-Abrahantes, Jose Zancanaro, Gabriele Vos, Sybren |
| author_sort | Lázaro, Elena |
| collection | ReDivia |
| description | At the request of the European Commission, EFSA prepared these specific guidelines to guide the surveyor through the design of statistically sound and risk-based surveys for Phyllosticta citricarpa, integrating the key biological information. Based on examples, three different survey designs are simulated:(i) detection surveys to substantiate pest freedom, (ii) delimiting surveys to determine the boundaries of an infested zone, and (iii) buffer zone surveys to monitor a zone ensuring pest detection at low levels of prevalence.The first step of the survey design consists of setting the goals of the survey, characterising the host plant population and the methods used to identify the pest. All survey parameters are quantified taking into accountthe importance of the related assumptions. The more accurateand robust the information used for selecting and estimating the survey parameters, the more robust the conclusions of the survey will be. The second step of the survey design consists of the sample size (i.e. number of trees)calculation using the survey parameters as inputs of the proposed statistical tool (EFSA RiBESS+).The last step of the survey design is the allocation of the samples in the survey area which depends on the information available on the target population and risk factors. The robustness of the conclusions of surveys designed using the proposed approaches strongly depends on the survey preparation. The methodology proposed allows surveys to be compared across time and space, thus contributing to the harmonisation of the P.citricarpasurveys across the EU. The extremely flexible approach allows the surveys to be tailored to each specific situation in the Member States, taking into account the citrus tree distribution and available resources. The success of a good survey design relies on the technical aspects of the survey preparation and on the involvement of the risk managers. |
| format | article |
| id | ReDivia7471 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley Online Library |
| publisherStr | Wiley Online Library |
| record_format | dspace |
| spelling | ReDivia74712025-04-25T14:48:21Z Guidelines for statistically sound and risk-based surveys of Phyllosticta citricarpa Lázaro, Elena Parnell, Stephen Vicent, Antonio Schans, Jan Schenk, Martijn Schrader, Gritta Cortinas-Abrahantes, Jose Zancanaro, Gabriele Vos, Sybren Buffer zone Confidence level Delimiting Design prevalence Detection Epidemiological units Infested zone U40 Surveying methods H20 Plant diseases At the request of the European Commission, EFSA prepared these specific guidelines to guide the surveyor through the design of statistically sound and risk-based surveys for Phyllosticta citricarpa, integrating the key biological information. Based on examples, three different survey designs are simulated:(i) detection surveys to substantiate pest freedom, (ii) delimiting surveys to determine the boundaries of an infested zone, and (iii) buffer zone surveys to monitor a zone ensuring pest detection at low levels of prevalence.The first step of the survey design consists of setting the goals of the survey, characterising the host plant population and the methods used to identify the pest. All survey parameters are quantified taking into accountthe importance of the related assumptions. The more accurateand robust the information used for selecting and estimating the survey parameters, the more robust the conclusions of the survey will be. The second step of the survey design consists of the sample size (i.e. number of trees)calculation using the survey parameters as inputs of the proposed statistical tool (EFSA RiBESS+).The last step of the survey design is the allocation of the samples in the survey area which depends on the information available on the target population and risk factors. The robustness of the conclusions of surveys designed using the proposed approaches strongly depends on the survey preparation. The methodology proposed allows surveys to be compared across time and space, thus contributing to the harmonisation of the P.citricarpasurveys across the EU. The extremely flexible approach allows the surveys to be tailored to each specific situation in the Member States, taking into account the citrus tree distribution and available resources. The success of a good survey design relies on the technical aspects of the survey preparation and on the involvement of the risk managers. 2021-06-28T12:08:50Z 2021-06-28T12:08:50Z 2020 article publishedVersion Lázaro, E., Parnell, S., Vicent, A., Schans, J., Schenk, M. et al. (2020). Guidelines for statistically sound and risk‐based surveys of Phyllosticta citricarpa. EFSA supporting publications,17(7), EN-1893. 2397-8325 (online ISSN) http://hdl.handle.net/20.500.11939/7471 10.2903/sp.efsa.2020.EN-1893 https://efsa.onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2020.EN-1893 en Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess Wiley Online Library electronico |
| spellingShingle | Buffer zone Confidence level Delimiting Design prevalence Detection Epidemiological units Infested zone U40 Surveying methods H20 Plant diseases Lázaro, Elena Parnell, Stephen Vicent, Antonio Schans, Jan Schenk, Martijn Schrader, Gritta Cortinas-Abrahantes, Jose Zancanaro, Gabriele Vos, Sybren Guidelines for statistically sound and risk-based surveys of Phyllosticta citricarpa |
| title | Guidelines for statistically sound and risk-based surveys of Phyllosticta citricarpa |
| title_full | Guidelines for statistically sound and risk-based surveys of Phyllosticta citricarpa |
| title_fullStr | Guidelines for statistically sound and risk-based surveys of Phyllosticta citricarpa |
| title_full_unstemmed | Guidelines for statistically sound and risk-based surveys of Phyllosticta citricarpa |
| title_short | Guidelines for statistically sound and risk-based surveys of Phyllosticta citricarpa |
| title_sort | guidelines for statistically sound and risk based surveys of phyllosticta citricarpa |
| topic | Buffer zone Confidence level Delimiting Design prevalence Detection Epidemiological units Infested zone U40 Surveying methods H20 Plant diseases |
| url | http://hdl.handle.net/20.500.11939/7471 https://efsa.onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2020.EN-1893 |
| work_keys_str_mv | AT lazaroelena guidelinesforstatisticallysoundandriskbasedsurveysofphyllostictacitricarpa AT parnellstephen guidelinesforstatisticallysoundandriskbasedsurveysofphyllostictacitricarpa AT vicentantonio guidelinesforstatisticallysoundandriskbasedsurveysofphyllostictacitricarpa AT schansjan guidelinesforstatisticallysoundandriskbasedsurveysofphyllostictacitricarpa AT schenkmartijn guidelinesforstatisticallysoundandriskbasedsurveysofphyllostictacitricarpa AT schradergritta guidelinesforstatisticallysoundandriskbasedsurveysofphyllostictacitricarpa AT cortinasabrahantesjose guidelinesforstatisticallysoundandriskbasedsurveysofphyllostictacitricarpa AT zancanarogabriele guidelinesforstatisticallysoundandriskbasedsurveysofphyllostictacitricarpa AT vossybren guidelinesforstatisticallysoundandriskbasedsurveysofphyllostictacitricarpa |