Description du projet
Détecter les substances volatiles pour surveiller et gérer les invasions d’organismes nuisibles dans l’agriculture et la sylviculture
Il est attendu que les invasions d’organismes nuisibles augmentent avec le changement climatique. Cette situation constitue une menace majeure pour les systèmes alimentaires. C’est pourquoi la prévention des épidémies et leur détection précoce figurent parmi les principales priorités de l’Europe. Dans ce contexte, le projet PURPEST, financé par l’UE, concevra et démontrera l’efficacité d’une plateforme de capteurs innovante capable d’identifier rapidement cinq parasites différents au moment de l’importation ou dans les champs afin de stopper leur implantation et de réduire les apports de pesticides d’au moins 50 %. Ces capteurs reposeront sur la détection de composés organiques volatils (COV) spécifiques aux organismes nuisibles, qu’ils soient émis par eux et/ou par les plantes hôtes. Le projet déterminera la signature COV des végétaux attaqués par Phytophthora ramorum et d’autres espèces de Phytophthora, la légionnaire d’automne, le ver de la capsule, la punaise marbrée et le nématode du pin dans différentes conditions de stress abiotique.
Objectif
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.
Champ scientifique
- 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
Programme(s)
Régime de financement
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinateur
1430 Aas
Norvège