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

Plantes et Système de cultures Horticoles

Zone de texte éditable et éditée et rééditée

Nadia Bertin

Director of research

Nadia BERTIN

Directeur de Recherche

Lab. Plantes et Systèmes de culture Horticoles

Equipe : Ecophysiologie des Plantes Horticoles

CONTACT
INRA Unité PSH (UR 1115)

Domaine St Paul, Site agroparc

CS 40509

84914 Avignon Cedex 9

Tél: +33 (0)4 32 72 23 24
Email : nadia.bertin@avignon.inra.fr

——————————————————————

  • POSITIONS AND EDUCATION

1993 - PhD thesis in Agronomical Sciences, speciality Plant Science.
2009 - HDR, Accreditation to supervise research, Avignon University.

  • RESEARCH TOPICS

Since 2001, I am researcher in the team « ecophysiology of fruit quality » in the unit PSH (Plantes et Système de culture Horticoles) of INRA Avignon. My research focuses on the regulation of fruit growth and quality (size, composition and texture) in tomato. I investigate the involvement of main processes in the genetic and environmental variations of fruit quality: cell division, cell expansion, DNA endoreduplication, water and carbon fluxes at the fruit and tissue level. More recently, I develop some work to analyze the role of the fruit compartmentation into differentiated tissues on its growth and textural traits. Knowledge is integrated into simulation models which can be used to analyze interactions among processes during fruit development, as well as genotype x environment interactions. The links between genes or proteins and tissue or fruit state variables, are studied in collaboration with geneticists and statisticians to outline functional links between the different scales of controls (from gene to organ).
I am involved in one European project and several national projects.

* EU-SOL (European project PF5 Food Safety and quality 2006-2011): High Quality Solanaceous Crops for Consumers, Processors and Producers by Exploration of Natural Biodiversity.
* FRIM (European Project ERASysBio+ 2010-2013): Fruit Integrative modelling
* 3D virtual fruit (Agropolis project 2009-2012): 3D virtual fruit - application to the control of fruit growth and quality.
* QualiTomFil (PNRA-ANR 2007-2009) : « Construction et valorisation de la qualité organoleptique et nutritionnelle de la tomate tout au long de la filière ».

  • SELECTED PUBLICATIONS

Author and co-author of 34 peer-reviewed scientific articles.
- Bertin N. (2005) Analysis of the tomato fruit growth response to temperature and plant fruit load in relation to cell division, cell expansion and DNA endoreduplication. Annals of Botany, 95, 439-447.
- Bertin N., Lecomte A., Brunel B., Fishman S., Génard M. 2007. A model describing cell polyploidization in tissues of growing fruit as related to cessation of cell proliferation. Journal of Experimental Botany Botany 58: 1003-1013.
- Liu H-F., Génard M., Guichard S., Bertin N. (2007) Model-assisted analysis of tomato fruit in relation to carbon and water fluxes. Journal of Experimental Botany 58: 3567-3580.
- Bertin N., Causse M., Brunel B., Tricon D., Génard M. 2009. Identification of growth processes involved in QTLs for tomato fruit size and composition. Journal of Experimental Botany 60: 237-248.
- Prudent M., Causse M., Génard M., Grandillo S., Tripodi P.,Bertin N. 2009. Genetic and physiological analysis of tomato fruit weight and composition – Influence of carbon availability on QTL detection. Journal of Experimental Botany 60: 923-937.