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:

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:, 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

Google Analytics

Targeted advertising cookies


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 or by post at:

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

Dernière mise à jour : Mai 2018

Menu Logo Principal Logo GAFL Logo GAFL

Home page GAFL

Bénéjam Juliette

INRAE - Post doctoral student


Functions - Research topics

“Development of tomato pre-breeding materials with enhanced nutritional or flavour composition in different conditions”

General objective:

The European project HARNESSTOM ("Harnessing the value of tomato genetic resources for now and the future", aims at exploiting the available resources to develop breeding tools and new varieties resistant to biotic stresses, adapted to climate change and more qualitative (organoleptic and nutritional quality) in collaboration with public and private institutes from 7 European countries. GAFL contributes to the "quality" axis of this project.

In this context, my missions are :

-          Participating in the synthesis of genetic determinants of quality to enrich a database, which can be used as a source of alleles for future improvement projects.

-          Developping marker-assisted selection to introduce quality alleles from donor parents (for sugar, acid and aromatic volatile contents) into a variety with agronomic interest.

-          Creating a pre-selection MAGIC population enriched in quality alleles.

-          Optimizing genomic selection tool.

Field of expertise

Quantitative genetic and biostatistics

Plant physiology and pathology

Molecular biology (transcriptomics and metabolomics)

Training and Career

2021-2023 : Postdoctoral researcher in quantitative genetics applied to pre-breeding, GAFL unit (INRAE Avignon). Mathilde Causse.

“Development of tomato pre-breeding materials with enhanced nutritional or flavour composition in different conditions”.


2017-2021 : PhD in genetics and phytopathology, Université d’Angers – IRHS (INRAE Angers). Charles-Eric Durel.

“Mechanisms involved in the interaction between genetic resistances and resistances induced by plant resistance inducers in apple trees”, obtained on Februar 12, 2021.


2017 : Internship (M2) in epigenetics and molecular biology, IGEPP (INRAE Rennes). Mélanie Jubault.

“Fine mapping of epigenetic-QTL involved in partial resistance to clubroot in Arabidopsis and study of candidate genes”.


2016 : Internship (M1) in molecular biology and cytology, BFP (INRAE Bordeaux). Lucie Fernandez.

“Caracterization of a tomato mutant affected in fruit growth and link with endoreduplication”.


2015-2017 : Master Biology AgroSciences, Université de Bordeaux.

Pathway “Plant Breeding & Genetics”.


2014-2015 : Licence Biology, Université de Bordeaux.

                L3 Pathway « Biology of organisms and ecosystems ».

                L2 Pathway « Population genetics and ecology ».

2012-2013 : Advanced level preparatory courses for institutes of higher education (BCPST), Lycée Joffre in Montpellier.


“Mécanismes impliqués dans l’interaction entre les résistances génétiques et induites par les stimulateurs de défense des plantes”. Thesis script obtention 02/12/2021.

“Acibenzolar-S-methyl and resistance quantitative trait loci complement each other to control apple scab and fire blight”. J. Bénéjam, E. Ravon, M. Gaucher, M.-N. Brisset, C.-E. Durel, L. Perchepied. Article accepted in Plant Disease (2020/08).

“Interaction between PDS efficiency and genetic resistances in apple”. J. Bénéjam, M.-N. Brisset, C.-E. Durel, L. Perchepied. Poster Journées des doctorants (JDD) SFR QuaSaV 2019.

“Triangular relationships between constitutive defences, quantitative resistances and induced defences in apple”. J. Bénéjam. Poster JJC INRAE BAP 2018.

 “Natural Epiallelic Variation is Associated with Quantitative Resistance to the Pathogen Plasmodiophora Brassicae”. B. Liégard, A. Gravot, L. Quadrana, Y. Aigu, J. Bénéjam, C. Lariagon, J. Lemoine, V. Colot, M. J. Manzanares-Dauleux, M. Jubault. bioRxiv 776989; doi:

Email :