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

Serrie Marie

Student - PHD


Functions - Research topics

“Designing resilient stone fruit trees via integrative phenotyping in low phytosanitary input orchards and Association genetics”

General objective:

The broad research question addressed in this work is whether and how it is possible to breed stone fruits trees for their resilience to pest and diseases (e.g. viruses, bacteria, fungi). To answer this question, methods need to be developed to measure resilience, identify resilient ideotypes and control the inheritance of resilience in stone fruit. To pioneer these objectives, the genetic resources of two major Prunus species (apricot and peach) will be exanimated as a leverage to:

i)                    uncover the fundamental principles of resilience in stone fruit;

ii)                   find genetic markers associated to resilience and/or resilience components, such as resistances and tolerances to individual pests and diseases;

iii)                 identify potential resilient progenitors useful for pre-breeding activities.

Thus, by increasing our understanding of stone fruit resilience at the phenotypic and genetic levels, this project will contribute in the long term to make resilience a concrete breeding target for breeders

Field of expertise

Integrative biology, plant genetics, quantitative genetics, biostatistics, bioinformatics

Training and Career

2015-2017: 2-year advanced level preparatory courses for institutes of higher education in Lycée Saint Louis, Paris, France

2017-2021: Graduation as an Agricultural Engineering with a specialty in plant breeding from the engineering school L'Institut Agro - Montpellier, France (National institute of Agronomy)

March - September 2021: Last year internship within the GAFL unit (INRAE Avignon). Identification and characterization of phenotypic and genetic components of resilience in apricot and peach by using genome wide association studies
Internship supervisor: Morgane Roth

2021-2024: PhD student within the GAFL unit (INRAE Avignon)
Director thesis: Bénédicte Quilot-Turion
Co-supervisors: Morgane Roth, Jean-Marc Audergon



SERRIE, Marie, 2021. Identification et caractérisation des composantes phénotypiques et génétiques de la résilience chez l’abricotier et le pêcher à l’aide de la génétique d’association. Mémoire de fin d’études, diplôme d’Ingénieur Agronome, option Amélioration des Plantes et Ingénierie Végétale Méditerranéennes et Tropicales, Institut Agro | Montpellier SupAgro. 73 page

Email :