dc.contributor.author |
González Domínguez, Elisa
|
es_ES |
dc.contributor.author |
Armengol Fortí, Josep
|
es_ES |
dc.contributor.author |
García Jiménez, José
|
es_ES |
dc.contributor.author |
Soler, Esteban
|
es_ES |
dc.contributor.author |
Rossi, Vittorio
|
es_ES |
dc.date.accessioned |
2017-04-26T11:39:42Z |
|
dc.date.available |
2017-04-26T11:39:42Z |
|
dc.date.issued |
2015 |
|
dc.identifier.issn |
0567-7572 |
|
dc.identifier.uri |
http://hdl.handle.net/10251/80034 |
|
dc.description.abstract |
Fusicladium eriobotryae (Cav.) Sacc. is the causal agent of loquat scab, which
is the main disease affecting loquat (Eriobotrya japonica Lindl.) in the
Mediterranean basin. F. eriobotryae infects leaves, shoots and fruits; scabby fruits
are unsuitable for the market, resulting in significant economic losses. To predict the
infection of loquat fruits, a mechanistic, weather-driven, disease model has been
developed. By simulating conidial infection processes following a rain event, the
model estimates the percentage of conidia that successfully infected loquat fruits at
the end of an infection period; input data are hourly values of air temperature,
rainfall, relative humidity and leaf wetness. The model is mainly derived from
equations developed from recent in vitro and plant experimental results. Three data
sets have been used to validate the model: (1) percentage of affected fruit in an
unsprayed loquat orchard during two growing seasons (2011 and 2012); (2) infection
occurrence in an unsprayed loquat orchard during 2013; and (3) expert appreciation
of disease level on seven loquat growing seasons (expert elicitation). Results from
this validation showed that the model is able to predict the infection periods and the
development of the disease. The model could be used to improve the timing of
fungicide sprays, thus reducing the number of applications. |
es_ES |
dc.language |
Inglés |
es_ES |
dc.publisher |
International Society for Horticultural Science (ISHS) |
es_ES |
dc.relation.ispartof |
Acta Horticulturae |
es_ES |
dc.rights |
Reserva de todos los derechos |
es_ES |
dc.subject |
Disease forecasting |
es_ES |
dc.subject |
Disease management |
es_ES |
dc.subject |
Eriobotrya Japonica |
es_ES |
dc.subject |
Mechanistic model |
es_ES |
dc.subject.classification |
PRODUCCION VEGETAL |
es_ES |
dc.title |
An epidemiological model to predict infection of laquat scab caused by Fusicladium eriobotryae |
es_ES |
dc.type |
Artículo |
es_ES |
dc.type |
Comunicación en congreso |
es_ES |
dc.identifier.doi |
10.17660/ActaHortic.2015.1092.44 |
es_ES |
dc.rights.accessRights |
Cerrado |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Departamento de Ecosistemas Agroforestales - Departament d'Ecosistemes Agroforestals |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Instituto Agroforestal Mediterráneo - Institut Agroforestal Mediterrani |
es_ES |
dc.description.bibliographicCitation |
González Domínguez, E.; Armengol Fortí, J.; García Jiménez, J.; Soler, E.; Rossi, V. (2015). An epidemiological model to predict infection of laquat scab caused by Fusicladium eriobotryae. Acta Horticulturae. 1092:293-296. doi:10.17660/ActaHortic.2015.1092.44 |
es_ES |
dc.description.accrualMethod |
S |
es_ES |
dc.relation.conferencename |
IV International Symposium on Loquat |
es_ES |
dc.relation.conferencedate |
May 12-15, 2014 |
es_ES |
dc.relation.conferenceplace |
Palermo, Italy |
es_ES |
dc.relation.publisherversion |
http://dx.doi.org/10.17660/ActaHortic.2015.1092.44 |
es_ES |
dc.description.upvformatpinicio |
293 |
es_ES |
dc.description.upvformatpfin |
296 |
es_ES |
dc.type.version |
info:eu-repo/semantics/publishedVersion |
es_ES |
dc.description.volume |
1092 |
es_ES |
dc.relation.senia |
294763 |
es_ES |