Basis for a predictive model of Xanthomonas arboricola pv pruni growth and infections in host plants
dc.contributor.author
dc.date.accessioned
2017-12-19T13:53:08Z
dc.date.available
2017-12-19T13:53:08Z
dc.date.issued
2016-11-01
dc.identifier.issn
0567-7572
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dc.description.abstract
Xanthomonas arboricola pv. pruni (Xap) is the causal agent of bacterial spot disease of stone fruits and almond. The bacterium is considered a quarantine pathogen in Europe and it has become a new and emerging threat for European crops. As the disease is strongly influenced by the weather, a forecasting model that predicts Xap infections based on climatic conditions could be implemented in stone fruit integrated pest management. The objective of this work was to constrain the basis for the development of a predictive model of Xap growth and infections, determining the effects of pathogen, host and climatic parameters on infection and disease development. A non-pathogenic specialization of Xap and cross-infection among host species was observed, although strains isolated from peach were the most virulent in peach leaves. Xap was able to infect unwounded leaves and it was observed that the presence of wounds on the leave surface did not favour Xap penetration in peach leaves. Otherwise, the water condition of plants played an important role in Xap infections and disease development in peach. The presence of water congestion and leaf wetness 48 h before inoculation favoured Xap infections and the duration of leaf wetness after inoculation was directly correlated to disease severity. Temperature and leaf age had a significant effect on Xap infections. Temperatures above 20°C favoured Xap infections, which were basically produced in young leaves; whereas severity was significantly lower at temperatures below 15°C and in mature leaves
dc.description.sponsorship
Supported by research grants BR 2013/31 from University of Girona and
FPU13/04123 from Spain MECD, and the projects AGL2013-41405-R from Spain MINECO and the European Union Seventh Framework (FP7 / 2007-2013) under the agreement n°613678 (DROPSA)
dc.format.extent
8 p.
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application/pdf
dc.language.iso
eng
dc.publisher
International Society for Horticultural Science (ISHS)
dc.relation
info:eu-repo/grantAgreement/MINECO//AGL2013-41405-R/ES/DESARROLLO DE ESTRATEGIAS INNOVADORAS DE CONTROL INTEGRADO DE LA MANCHA BACTERIANA DE LOS FRUTALES DE HUESO (XANTHOMONAS ARBORICOLA PV. PRUNI)/
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Versió postprint del document publicat a: https://doi.org/10.17660/ActaHortic.2016.1149.1
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© Acta Horticulturae, 2016, núm. 1149, p. 1-8
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Articles publicats (D-EQATA)
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Tots els drets reservats
dc.source
Morales, G. Llorente i Cabratosa, Isidre Montesinos Seguí, Emilio Moragrega i Garcia, Concepció 2016 Basis for a predictive model of Xanthomonas arboricola pv pruni growth and infections in host plants Acta Horticulturae 1149 1 8
dc.title
Basis for a predictive model of Xanthomonas arboricola pv pruni growth and infections in host plants
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/EC/FP7/613678/EU/Strategies to develop effective, innovative and practical approaches to protect major European fruit crops from pests and pathogens/DROPSA
dc.type.version
info:eu-repo/semantics/acceptedVersion
dc.identifier.doi
dc.identifier.idgrec
026106
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dc.relation.FundingProgramme
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