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inSilico-IPM

INSILICO-IPM SLAWOMIR LUX
Country: Poland
2 Projects, page 1 of 1
  • Funder: European Commission Project Code: 101059523
    Overall Budget: 6,653,080 EURFunder Contribution: 6,653,070 EUR

    REACT aims to develop long-term environmentally friendly response strategies and novel sustainable tools to protect fruit and vegetable production and export capacities from two invasive insect pests of EU priority, Bactrocera dorsalis (Bd) and B. zonata (Bz). The project proposes a holistic response plan to provide enhanced capacity to prevent, identify, monitor and control these pests. To assess invasion risks, REACT will characterize the main facilitators and critical drivers of early invasive processes, sources and dynamics of adventive populations, and suitable hotspots for species establishment coupled with the analysis of the potential ecological and socio-economic impacts of invasions. To fight invasions at the first onset, REACT will develop a novel field-deployable, rapid and cost-effective mobile solution for interception. Multiple novel reaction strategy components and tools tailored to the characterized bioecological features of Bd and Bz will be developed and integrated to tackle outbreak events by economically sound SIT programs. These include a new bioinformatic pipeline to develop ‘neoclassical’ genetic sexing strains for the target species, novel genetic and metabolic markers to assess the quality of mass-reared flies, and diet supplements for enhanced mass-rearing. To prove the feasibility of an eradication SIT approach for the first time in Europe, releases with Ceratitis capitata will be conducted in areas with low pest prevalence, mimicking invasion scenarios. The program and its socio-economic impact will be evaluated with stakeholders and multiple actors, and a quick intervention guide for diverse invasion risk scenarios will be developed. This will translate into rapid response pest eradication capabilities that are pesticide free, adequate to a wide variety of EU fruticulture and trade under changing climatic, legal, and regulatory conditions and able to safeguard ecosystems and biodiversity while improving food safety.

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  • Funder: European Commission Project Code: 818184
    Overall Budget: 6,004,250 EURFunder Contribution: 6,004,250 EUR

    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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