Validation of a Warning System to Control Brown Rot in Peach and Nectarine

13 Pág.

Detalhes bibliográficos
Autores: Casals, Carla, Segarra, J., Torres, Rosario, Teixidó, Neus, De Cal Cortina, Antonieta, Usall, J.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/308348
Acesso em linha:http://hdl.handle.net/10261/308348
https://api.elsevier.com/content/abstract/scopus_id/85146753847
Access Level:acceso abierto
Palavra-chave:Brown rot
Decision support systems (DSS)
Field applications
Fungicides
Postharvest disease
Warning system
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spelling Validation of a Warning System to Control Brown Rot in Peach and NectarineCasals, CarlaSegarra, J.Torres, RosarioTeixidó, NeusDe Cal Cortina, AntonietaUsall, J.Brown rotDecision support systems (DSS)Field applicationsFungicidesPostharvest diseaseWarning system13 Pág.Monilinia spp. is the main pathogen that affects stone fruit, causing significant production losses, especially in seasons with favorable climatic conditions for disease development. Currently, the standard practices for controlling this disease are by means of spray programs of synthetic fungicides. Fungicide applications using treatment schedules imply an increase in the number of applications; however, the applications are justified considering the real risk of Monilinia spp. infection. Consequently, fruit surface contains a higher number and concentration of residues, but not better control of the disease. From previous studies, the epidemiology of Monilinia spp. was deeply studied in one of the main stone fruit regions of Europe, the ‘Valle del Ebro’, and an epidemiological model was developed to describe the brown rot epidemic pattern in this area. After that, a warning system for fungicide applications in the field was elaborated that included the main factors to be considered as fruit susceptibility, the presence of inoculum in the field, and climatological factors (temperature, leaf wetness, rainfall, or their interaction). In the present study, we present data of the warning system validation during six seasons in 38 fields of peaches and nectarines of the ‘Valle del Ebro’. The results indicated that the incidence of disease caused by Monilinia spp., recorded in the field and postharvest, was similar in both plot evaluations and the calendar and warning systems. However, the disease level was higher in late varieties (3.2% and 9.3% of infected fruit recorded in the field and in postharvest, respectively) in comparison with earlier varieties (0.6% and 3.1% of infected fruit recorded in the field and in postharvest, respectively). In general, the strategy applied (the calendar or warning system) did not affect the disease level recorded. However, when fungicide treatments were applied following the warning system, the treatment reductions were higher than 50% in 96% of the trials in early varieties; meanwhile, in late varieties, this level of reduction was obtained in 77% of trials. Our data encourage the use of the proposed warning system as an effective strategy to control Monilinia spp. in peaches and nectarines, reducing the number of chemical treatments applied in the field with a high level of efficacy.This research was funded by a Catalan project (PDR 2014-2020) and the CERCA Program (Generalitat de Catalunya).Peer reviewedMultidisciplinary Digital Publishing InstituteGeneralitat de CatalunyaCasals, Carla [0000-0003-0196-6029]Segarra, J. [0000-0002-4884-307X]Torres, Rosario [0000-0002-1806-9626]Teixidó, Neus [0000-0002-1676-3593]De Cal Cortina, Antonieta [0000-0002-7725-7782]Usall, J. [0000-0002-0856-3508]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/308348https://api.elsevier.com/content/abstract/scopus_id/85146753847reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésDepartamento de Protección Vegetalhttps://doi.org/10.3390/agronomy13010254Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3083482026-05-22T06:33:51Z
dc.title.none.fl_str_mv Validation of a Warning System to Control Brown Rot in Peach and Nectarine
title Validation of a Warning System to Control Brown Rot in Peach and Nectarine
spellingShingle Validation of a Warning System to Control Brown Rot in Peach and Nectarine
Casals, Carla
Brown rot
Decision support systems (DSS)
Field applications
Fungicides
Postharvest disease
Warning system
title_short Validation of a Warning System to Control Brown Rot in Peach and Nectarine
title_full Validation of a Warning System to Control Brown Rot in Peach and Nectarine
title_fullStr Validation of a Warning System to Control Brown Rot in Peach and Nectarine
title_full_unstemmed Validation of a Warning System to Control Brown Rot in Peach and Nectarine
title_sort Validation of a Warning System to Control Brown Rot in Peach and Nectarine
dc.creator.none.fl_str_mv Casals, Carla
Segarra, J.
Torres, Rosario
Teixidó, Neus
De Cal Cortina, Antonieta
Usall, J.
author Casals, Carla
author_facet Casals, Carla
Segarra, J.
Torres, Rosario
Teixidó, Neus
De Cal Cortina, Antonieta
Usall, J.
author_role author
author2 Segarra, J.
Torres, Rosario
Teixidó, Neus
De Cal Cortina, Antonieta
Usall, J.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Generalitat de Catalunya
Casals, Carla [0000-0003-0196-6029]
Segarra, J. [0000-0002-4884-307X]
Torres, Rosario [0000-0002-1806-9626]
Teixidó, Neus [0000-0002-1676-3593]
De Cal Cortina, Antonieta [0000-0002-7725-7782]
Usall, J. [0000-0002-0856-3508]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Brown rot
Decision support systems (DSS)
Field applications
Fungicides
Postharvest disease
Warning system
topic Brown rot
Decision support systems (DSS)
Field applications
Fungicides
Postharvest disease
Warning system
description 13 Pág.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/308348
https://api.elsevier.com/content/abstract/scopus_id/85146753847
url http://hdl.handle.net/10261/308348
https://api.elsevier.com/content/abstract/scopus_id/85146753847
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Departamento de Protección Vegetal
https://doi.org/10.3390/agronomy13010254
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869408615900643328
score 15.812455

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