Insights into the spatio-temporal spread of Xylella fastidiosa in south-eastern Italy
X. fastidiosa causes serious diseases in a broad range of woody plants (EFSA 2015). The pathogen is xylem-limited and vectored by insects. Several subspecies have been described, differing in their host range, aggressiveness, and vectors. The movement of infected plants and vectors are considered...
| Autores principales: | , , , , |
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| Formato: | conferenceObject |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Acceso en línea: | http://hdl.handle.net/20.500.11939/5819 |
| _version_ | 1855032339951779840 |
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| author | Martínez-Minaya, Joaquín Conesa, David López-Quílez, Antonio Saponari, Maria Vicent, Antonio |
| author_browse | Conesa, David López-Quílez, Antonio Martínez-Minaya, Joaquín Saponari, Maria Vicent, Antonio |
| author_facet | Martínez-Minaya, Joaquín Conesa, David López-Quílez, Antonio Saponari, Maria Vicent, Antonio |
| author_sort | Martínez-Minaya, Joaquín |
| collection | ReDivia |
| description | X. fastidiosa causes serious diseases in a broad range of woody plants (EFSA 2015). The
pathogen is xylem-limited and vectored by insects. Several subspecies have been described, differing
in their host range, aggressiveness, and vectors. The movement of infected plants and vectors are
considered the main pathways of introduction. In 2013, olive quick decline, caused by X. fastidiosa
subsp. pauca, was first reported in Apulia in south-eastern Italy (Martelli et al. 2016) and Philaenus
spumarius was confirmed as the main vector. Spatio-temporal analysis can inform about the
epidemiological factors driving disease distribution and may assist to limit further spread. A
mechanistic model was recently developed for the early stages of X. fastidiosa invasion in Apulia
(White et al. 2017). In the present study, spatio-temporal models were fitted to the distribution of X.
fastidiosa in Apulia from 2013 to 2016. Different sampling strategies were followed each year, so the
analysis was focused only in the Salento peninsula where a more regular sampling was observed.
Bayesian inference by INLA (Rue et al. 2009) was used and the geostatistical effect was implemented
by the SPDE approach (Lindgren et al. 2011). Results confirmed the high rate of disease spread under
favorable environmental conditions, absence of effective vector control, and presence of highly
susceptible hosts. |
| format | conferenceObject |
| id | ReDivia5819 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | ReDivia58192025-04-25T14:51:59Z Insights into the spatio-temporal spread of Xylella fastidiosa in south-eastern Italy Martínez-Minaya, Joaquín Conesa, David López-Quílez, Antonio Saponari, Maria Vicent, Antonio X. fastidiosa causes serious diseases in a broad range of woody plants (EFSA 2015). The pathogen is xylem-limited and vectored by insects. Several subspecies have been described, differing in their host range, aggressiveness, and vectors. The movement of infected plants and vectors are considered the main pathways of introduction. In 2013, olive quick decline, caused by X. fastidiosa subsp. pauca, was first reported in Apulia in south-eastern Italy (Martelli et al. 2016) and Philaenus spumarius was confirmed as the main vector. Spatio-temporal analysis can inform about the epidemiological factors driving disease distribution and may assist to limit further spread. A mechanistic model was recently developed for the early stages of X. fastidiosa invasion in Apulia (White et al. 2017). In the present study, spatio-temporal models were fitted to the distribution of X. fastidiosa in Apulia from 2013 to 2016. Different sampling strategies were followed each year, so the analysis was focused only in the Salento peninsula where a more regular sampling was observed. Bayesian inference by INLA (Rue et al. 2009) was used and the geostatistical effect was implemented by the SPDE approach (Lindgren et al. 2011). Results confirmed the high rate of disease spread under favorable environmental conditions, absence of effective vector control, and presence of highly susceptible hosts. 2018-05-05T17:21:23Z 2018-05-05T17:21:23Z 2017 conferenceObject Martínez-Minaya, J., Conesa, D., López-Quílez, A., Saponari, M., Vicent, A. (2017). Insights into the spatio-temporal spread of Xylella fastidiosa in south-eastern Italy. In European Conference on Xylella fastidiosa: finding answers to a global problem, Palma de Mallorca, Spain. http://hdl.handle.net/20.500.11939/5819 10.5281/zenodo.1065427 en 2017 European Conference on Xylella fastidiosa: finding answers to a global problem Palma de Mallorca, Spain Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess electronico |
| spellingShingle | Martínez-Minaya, Joaquín Conesa, David López-Quílez, Antonio Saponari, Maria Vicent, Antonio Insights into the spatio-temporal spread of Xylella fastidiosa in south-eastern Italy |
| title | Insights into the spatio-temporal spread of Xylella fastidiosa in south-eastern Italy |
| title_full | Insights into the spatio-temporal spread of Xylella fastidiosa in south-eastern Italy |
| title_fullStr | Insights into the spatio-temporal spread of Xylella fastidiosa in south-eastern Italy |
| title_full_unstemmed | Insights into the spatio-temporal spread of Xylella fastidiosa in south-eastern Italy |
| title_short | Insights into the spatio-temporal spread of Xylella fastidiosa in south-eastern Italy |
| title_sort | insights into the spatio temporal spread of xylella fastidiosa in south eastern italy |
| url | http://hdl.handle.net/20.500.11939/5819 |
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