Yann Devos

ORCID: 0000-0002-4067-7871
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About
Contact & Profiles
Research Areas
  • Genetically Modified Organisms Research
  • Insect Resistance and Genetics
  • CRISPR and Genetic Engineering
  • Agricultural safety and regulations
  • Insect and Pesticide Research
  • Animal Genetics and Reproduction
  • Intellectual Property and Patents
  • Viral Infectious Diseases and Gene Expression in Insects
  • Pesticide Residue Analysis and Safety
  • Bioeconomy and Sustainability Development
  • Risk Perception and Management
  • Pesticide and Herbicide Environmental Studies
  • Agricultural Innovations and Practices
  • Transgenic Plants and Applications
  • Entomopathogenic Microorganisms in Pest Control
  • Agriculture Sustainability and Environmental Impact
  • Zoonotic diseases and public health
  • Insect behavior and control techniques
  • Effects and risks of endocrine disrupting chemicals
  • Plant tissue culture and regeneration
  • Organic Food and Agriculture
  • Environmental Conservation and Management
  • Plant and animal studies
  • Food Waste Reduction and Sustainability
  • Energy, Environment, Agriculture Analysis

European Food Safety Authority
2015-2025

University of Zurich
2017

Ghent University
2005-2009

Ghent University Hospital
2007-2008

Flemish Government
2008

Institut Scientifique de Santé Publique
2004-2006

New Approach Methodologies (NAMs) comprise in silico and vitro methods applied as alternative to animal testing. Even though NAMs are already fully implemented research tools, their use regulatory risk assessments (RA) is limited currently. To promote the uptake/acceptance of NAMs, a paradigm shift assessment approaches, proper dialogue between assessors managers needed. Several reviews addressed for chemical RA generic terms, but without providing specific considerations on food/feed safety...

10.1016/j.tifs.2023.02.006 article EN cc-by-nc-nd Trends in Food Science & Technology 2023-02-08

Genetically modified (GM) maize MON810 expresses a Cry1Ab insecticidal protein, derived from Bacillus thuringiensis (Bt), toxic to lepidopteran target pests such as Ostrinia nubilalis. An environmental risk non-target Lepidoptera this GM crop is exposure harmful amounts of Bt-containing pollen deposited on host plants in or near fields. 11-parameter mathematical model analysed larvae three species: the butterflies Inachis io (L.), Vanessa atalanta (L.) and moth Plutella xylostella 11...

10.1098/rspb.2009.2091 article EN cc-by Proceedings of the Royal Society B Biological Sciences 2010-01-06

Advances in molecular and synthetic biology are enabling the engineering of gene drives insects for disease vector/pest control.Engineered (that bias their own inheritance) can be designed either to suppress interbreeding target populations or modify them with a new genotype.Depending on engineered drive system, theoretically, genetic modification interest could spread through persist indefinitely, restricted its persistence.While research applications is advancing at fast pace, it will take...

10.2903/j.efsa.2020.6297 article EN cc-by-nd EFSA Journal 2020-11-01

Summary 1. In farmland biodiversity, a potential risk to the larvae of non‐target Lepidoptera from genetically modified (GM) Bt‐ maize expressing insecticidal Cry1 proteins is ingestion harmful amounts pollen deposited on their host plants. A previous mathematical model exposure quantified this for Cry1Ab protein. We extend quantify sensitive species exposed containing Cry1F protein event 1507 and provide recommendations management mitigate risk. 2. 14‐parameter integrating small‐...

10.1111/j.1365-2664.2011.02083.x article EN other-oa Journal of Applied Ecology 2011-11-11

Pre-market/prospective environmental risk assessments (ERAs) contribute to analyses performed facilitate decisions about the market introduction of regulated stressors. Robust ERAs begin with an explicit problem formulation, which involves among other steps: (1) formally devising plausible pathways harm that describe how deployment a stressor could be harmful; (2) formulating hypotheses likelihood and severity such events; (3) identifying information will useful test hypotheses; (4)...

10.2903/j.efsa.2019.e170708 article EN cc-by-nd EFSA Journal 2019-07-01
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