Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

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

LACROIX Christelle

Research scientist, MISTRAL lab

CONTACT/PROFIL

 

LACROIX Christelle

Unité de Recherches de Pathologie Végétale
INRAE PACA

cm

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

Tel : 33 (0) 4.32.72.28.85

christelle.lacroix(a)inrae.fr

HAL INRAE

My publications in the open archive HAL INRAE

ORCID

https://orcid.org/0000-0001-8808-4752

ResearchGate

https://www.researchgate.net/profile/Christelle_Lacroix

My research focuses on the role of biotic and abiotic parameters on the distribution, the emergence and the severity of plant Emerging Infectious Diseases (EIDs). My research spans multiple disciplines including disease ecology and plant pathology and is based on field and experimental approaches. My activities include the implementation of necessary tools to study complex ecological interactions, and aims at producing fundamental knowledge while contributing to the development of field applications through the transfer to and collaboration with field partners.

 The overall goal of my main research projects is to contribute to design better management and surveillance strategies of plant EIDS. I base my research on various model systems corresponding to two identically named diseases, i.e. bacterial canker, caused by several strains from the Pseudomonas syringae complex on perennial fruit trees (e.g. kiwifruit and apricot) and by Clavibacter michiganensis susbp. michiganensis (Cmm) strains in tomato crops.

The specific questions I ask range over multiple scales:

i) improving the diagnostic of crop health and the study of factors that drive disease severity under conditions of multiple biotic and abiotic stresses from individual hosts to landscape scales,

Bacterial canker on kiwifruit, caused by several strains from the Pseudomonas syringae complex

ii) producing a better understanding of the role of wild hosts within agriculture (i.e. orchard ground covers) as potential reservoirs of pathogens,

Ground cover in between tree rows in a kiwifruit orchard

Ground cover in between tree rows in a kiwifruit orchard

 

iii) analyzing the structure and diversity of plant micro-organisms populations in various substrates and contexts (e.g. plant samples in orchards, water that supports microbial dissemination in a river basin),

Analyzing the structure and diversity of plant micro-organisms populations in various substrates and contexts

Click on the figure to enlarge

iv) designing innovative and field friendly tools for in site detection of pathogens to be used as part of integrated pest management strategies.

Tomato plants affected by bacterial canker disease

Tomato plants affected by bacterial canker disease

Example of positive/negative result of a potential in-field detection tool of Cmm

Example of positive/negative result of a potential in-field detection tool of Cmm