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INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal Plant pathology unit - INRA AVIGNON

Pathologie vegetale

Zone de texte éditable et éditée et rééditée

RIMBAUD Loup

Research scientist, virology lab

 CONTACT/PROFIL

RIMBAUD Loup

INRA PACA
Unité de Recherches de Pathologie Végétale

cm

Domaine St Maurice BP 94
67, allée des chênes
CS 60094
F84143 Montfavet cedex
France

Tel : 33 (0) 4.32.72.28.75

loup.rimbaud(a)inra.fr

ProdInra

https://prodinra.inra.fr/au/lrimbaud

ORCID

http://orcid.org/0000-0002-8098-9984

ResearcherID

http://www.researcherid.com/rid/N-8909-2017

  RESEARCH ACTIVITIES

Since 1st September 2018, I have been working as a Research Scientist in the team ‘Virology’ of the Plant Pathology Research Unit (INRA, Avignon). My main research interest focus on the identification of efficient and durable strategies to manage plant diseases and especially those caused by viruses on vegetable crops. For this, I use spatiotemporal simulation models, complemented with laboratory and glasshouse experiments, as well as statistical analyses of epidemiological data. These experiments and field data result in the acquisition of crucial knowledge on the biology of the interactions between host plants, pathogens and possibly their vectors. Indeed, these knowledge give the possibility to calibrate model parameters or test model predictions, and can be very helpful to identify promising control methods.

Simulation models are very useful to optimise management strategies of epidemics, and circumvent the ethical, legal, logistical and economic constraints associated with experiments at large spatiotemporal scales. My models simulate the epidemiological dynamics of pathogens in cultivated landscapes under disease management, and aim at optimising management strategies. However, pathogens have an extraordinary evolutionary potential that allow them to overcome control methods employed in the field. This is particularly the case with the deployment of plant resistance. Thus, because they include pathogen evolution, the demo-genetic models I use are of great interest, and enable the identification of strategies that are both efficient and durable to manage plant diseases.