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FF-IPM SIGNED

In-silico boosted, pest prevention and off-season focused IPM against new and emerging fruit flies ('OFF-Season' FF-IPM)

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "FF-IPM" data sheet

The following table provides information about the project.

Coordinator
PANEPISTIMIO THESSALIAS 

Organization address
address: ARGONAFTON FILELLINON
city: VOLOS
postcode: 38221
website: www.uth.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Total cost 6˙004˙252 €
 EC max contribution 6˙004˙252 € (100%)
 Programme 1. H2020-EU.3.2.1.1. (Increasing production efficiency and coping with climate change, while ensuring sustainability and resilience)
 Code Call H2020-SFS-2018-2
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2023-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PANEPISTIMIO THESSALIAS EL (VOLOS) coordinator 804˙875.00
2    MUSEE ROYAL DE L'AFRIQUE CENTRALE BE (TERVUREN) participant 588˙750.00
3    THE AGRICULTURAL RESEARCH ORGANISATION OF ISRAEL - THE VOLCANI CENTRE IL (BET DAGAN) participant 563˙862.00
4    INSILICO-IPM SLAWOMIR LUX PL (KONSTANCIN-JEZIORNA) participant 449˙040.00
5    R&DO LIMITED CY (NICOSIA) participant 427˙375.00
6    UNIVERSITAT JAUME I DE CASTELLON ES (CASTELLON DE LA PLANA) participant 380˙587.00
7    OSTERREICHISCHE AGENTUR FUR GESUNDHEIT UND ERNAHRUNGSSICHERHEIT GMBH AT (WIEN) participant 357˙275.00
8    BENAKI PHYTOPATHOLOGICAL INSTITUTE EL (ATHINA) participant 351˙750.00
9    UNIVERSITA DEGLI STUDI DEL MOLISE IT (CAMPOBASSO) participant 340˙841.00
10    E-NEMA GESELLSCHAFT FUER BIOTECHNOLOGIE UND BIOLOGISCHEN PFLANZENSCHUTZ mbH DE (Schwentinental) participant 306˙575.00
11    STELLENBOSCH UNIVERSITY ZA (STELLENBOSCH) participant 267˙437.00
12    ANECOOP SOCIEDAD COOPERATIVA ES (VALENCIA) participant 198˙375.00
13    CENTRE DE COOPERATION INTERNATIONALE EN RECHERCHE AGRONOMIQUE POUR LEDEVELOPPEMENT - C.I.R.A.D. EPIC FR (PARIS) participant 189˙877.00
14    SZYNISZEWSKA ANNA PL (POZNAN) participant 172˙651.00
15    SVEUCILISTE U SPLITU HR (SPLIT) participant 168˙250.00
16    Iscte - Instituto Universitário de Lisboa PT (LISBOA) participant 142˙500.00
17    COMMONWEALTH SCIENTIFIC AND INDUSTRIAL RESEARCH ORGANISATION AU (ACTON ACT) participant 112˙500.00
18    CITRUS RESEARCH INTERNATIONAL (PTY)LTD ZA (NELSPRUIT) participant 101˙730.00
19    PCA TECHNOLOGIES SRL IT (POGLIANO MILANESE) participant 80˙000.00
20    CHINA AGRICULTURAL UNIVERSITY CN (BEIJING) participant 0.00
21    THE REGENTS OF THE UNIVERSITY OF CALIFORNIA US (OAKLAND CA) participant 0.00

Map

 Project objective

The FF-IPM project targets three highly polyphagous fruit fly (FF) species (Tephritidae) that cause devastating losses in the fresh fruit producing industry, the Mediterranean fruit fly (Ceratitis capitata), a serious emerging pest in northern temperate areas of Europe, the Oriental fruit fly (Bactrocera dorsalis) and the peach fruit fly (B. zonata) two major new (invasive) pests, which pose an imminent threat to European horticulture. The project aims to introduce in-silico supported prevention, detection and Integrated Pest Management (IPM) approaches for both new and emerging FF, based on spatial modelling across a wide range of spatial levels, novel decision support systems, and new knowledge regarding biological traits of the target species, fruit trading and socioeconomics. FF-IPM introduces a fundamental paradigm shift in IPM towards “OFF-Season” management of FF by targeting the overwintering generation when population undergoes significant bottlenecks, preventing, this way, population growth later in season. “ON-Season” control approaches will be generated for different spatial scales considering both existing and developed by FF-IPM tools and services. Innovative prevention tools to track FF infested fruit (e-Nose) and rapidly identify intercepted specimens (Rapid-Molecular-Pest-ID tools) in imported commodities and at processing industries will be produced. Species specific e-trapping systems for the three-target FF will be advanced and employed by novel detection strategies based on spatial modelling. Both “ON and OFF-Season” IPM approaches and detection strategies will be validated in selected locations in eight different countries. FF-IPM generated data on FF response under stress conditions, overwintering dynamics, establishment and dispersion patterns of low population densities combined with advanced spatial population modeling are expected to contribute towards understanding drivers of emerging and new pests under climate change scenarios.

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