Descripción del proyecto
Detección de compuestos volátiles para controlar y gestionar las plagas invasoras en la agricultura y la silvicultura
Según las previsiones, las invasiones de plagas aumentarán a medida que cambie el clima. Ello plantea una grave amenaza para los sistemas alimentarios. La prevención de brotes y la detección precoz son una prioridad máxima en Europa En este contexto, el equipo del proyecto PURPEST, financiado con fondos europeos, desarrollará y demostrará una innovadora plataforma de sensores capaz de detectar rápidamente cinco plagas diferentes durante la importación y sobre el terreno, con el objetivo de frenar su implantación y reducir el uso de plaguicidas en, al menos, un 50 %. El sensor se basa en la detección de compuestos orgánicos volátiles (COV) específicos de plagas que emiten las plagas o las plantas hospedadoras invadidas por plagas. En el proyecto se determinará la presencia de COV en plantas atacadas por «Phytophthora ramorum» y otras especies de «Phytophthora», el cogollero, el gusano bellotero del algodón, la chinche apestoso marrón marmolado y el nematodo de la madera del pino en diferentes condiciones de estrés abiótico.
Objetivo
The EU requires rapid and effective actions based on innovative detection concepts targeting quarantine, priority and other serious pests. Fair, healthy and environment-friendly food systems are threatened by increasing pest invasions due to climate change and a growing demand for high quality, pest-free food. The goal of PurPest is to develop, validate and demonstrate an innovative sensor platform that can rapidly detect five different pests during import and in the field to stop their establishment and reduce pesticide inputs by at least 50%. The sensor concept is based on detection of pest-specific volatile organic compounds (VOCs) emitted by host plants invaded by one or several pests. PurPest will determine the VOC signature of Phytophthora ramorum, the Fall armyworm, the Cotton bollworm, the Brown marmorated stinkbug and the Pinewood nematode under different abiotic stress conditions. The VOC database will be exploited to optimize existing and develop new sensor concepts to detect pest-specific VOCs, starting from proof of concept (TRL3) to demonstration in field trials (TRL6). Non-invasive, reliable and rapid pest sensing platforms will increase pest screening efficiency from currently 3% to 80% of plant imports. Preventing outbreaks of new pests and site-specific pesticide use by early detection are the cornerstones of sustainable and integrated pest management (IPM). PurPest will evaluate the socio-economic and ecological impact of 5 pests and how the new detection concept affects these impacts. Direct communication with stakeholders via the advisory board, workshops and webinars is part of PurPest’s multi-actor approach to affirm involvement of all interest groups along the value chain The PurPest project is a strong multidisciplinary consortium with expertise from 10 countries, 7 universities, 5 research institutes, 4 SMEs and 2 governmental agencies.
Ámbito científico
- agricultural sciencesagriculture, forestry, and fisheriesagricultureagronomyplant protection
- natural sciencescomputer and information sciencesdatabases
- natural scienceschemical sciencesorganic chemistryvolatile organic compounds
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Palabras clave
Programa(s)
Convocatoria de propuestas
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
1430 Aas
Noruega