Know more

About cookies

What is a "cookie"?

A "cookie" is a piece of information, usually small and identified by a name, which may be sent to your browser by a website you are visiting. Your web browser will store it for a period of time, and send it back to the web server each time you log on again.

Different types of cookies are placed on the sites:

  • Cookies strictly necessary for the proper functioning of the site
  • Cookies deposited by third party sites to improve the interactivity of the site, to collect statistics

Learn more about cookies and how they work

The different types of cookies used on this site

Cookies strictly necessary for the site to function

These cookies allow the main services of the site to function optimally. You can technically block them using your browser settings but your experience on the site may be degraded.

Furthermore, you have the possibility of opposing the use of audience measurement tracers strictly necessary for the functioning and current administration of the website in the cookie management window accessible via the link located in the footer of the site.

Technical cookies

Name of the cookie


Shelf life

CAS and PHP session cookies

Login credentials, session security



Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie


Shelf life


Trace the visitor's route in order to establish visit statistics.

13 months


Store the anonymous ID of the visitor who starts the first time he visits the site

13 months


Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.

13 months

About the AT Internet audience measurement tool :

AT Internet's audience measurement tool Analytics is deployed on this site in order to obtain information on visitors' navigation and to improve its use.

The French data protection authority (CNIL) has granted an exemption to AT Internet's Web Analytics cookie. This tool is thus exempt from the collection of the Internet user's consent with regard to the deposit of analytics cookies. However, you can refuse the deposit of these cookies via the cookie management panel.

Good to know:

  • The data collected are not cross-checked with other processing operations
  • The deposited cookie is only used to produce anonymous statistics
  • The cookie does not allow the user's navigation on other sites to be tracked.

Third party cookies to improve the interactivity of the site

This site relies on certain services provided by third parties which allow :

  • to offer interactive content;
  • improve usability and facilitate the sharing of content on social networks;
  • view videos and animated presentations directly on our website;
  • protect form entries from robots;
  • monitor the performance of the site.

These third parties will collect and use your browsing data for their own purposes.

How to accept or reject cookies

When you start browsing an eZpublish site, the appearance of the "cookies" banner allows you to accept or refuse all the cookies we use. This banner will be displayed as long as you have not made a choice, even if you are browsing on another page of the site.

You can change your choices at any time by clicking on the "Cookie Management" link.

You can manage these cookies in your browser. Here are the procedures to follow: Firefox; Chrome; Explorer; Safari; Opera

For more information about the cookies we use, you can contact INRAE's Data Protection Officer by email at or by post at :


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

Last update: May 2021

Menu Logo Principal Institut Agro Montpellier LEPSE membre de Montpellier Université d'Excellence Labex AGRO Institut Carnot DigitAg

Home page

Leveau Stéphane

Leveau Stéphane
Modelling and analysis of interactions between genetic variability, water stress and nitrogen demand on growth and tillering in wheat.

Researcher Doctoral student in CIFRE with ITK SAS and l'UMR LEPSE

Title of thesis subject

Modelling and analysis of interactions between genetic variability, water stress and nitrogen demand on growth and tillering in wheat.


Cereal cultivation is subject to environmental constraints, the intensity and frequency of which have increased over the last two decades, particularly due to the acceleration of global warming. These changes in production conditions force farmers to better reason the use of inputs and the choice of varieties. To face these difficulties, iTK is developing decision support tools that provide useful information to farmers and agricultural technicians to optimise the use of inputs and adapt the choice of varieties to local production constraints. These tools are based on plant growth simulation models, whose capacity to predict the interactions between the environment and the genotype remains limited. The main limitation of current models is their representation of leaf growth controls.
In this context, the objective of the thesis is to explain the phenotypic plasticity of leaf growth and aerial architecture in wheat, the most widely cultivated cereal in the world, in response to environmental contrasts. The first expected output is the design of an ecophysiological model of leaf growth and branching (tillering). This model will be implemented in the wheat yield and protein prediction model SiriusQuality developed by the host laboratory (UMR LEPSE). The model will be built in such a way that its parameters can be easily measured.
Experiments will be conducted on the M3P high-throughput phenotyping platform of UMR LEPSE to study the genetic variability of the model parameters. At the end of the thesis, the capacity of the model to predict the dynamics of the surface area and its components under different scenarios of climatic conditions and nitrogen fertilisation for different genotypes will be evaluated using the databases of field experiments available at UMR LEPSE and iTK.
keywords: wheat, leaf growth, tillering, ecophysiology, nitrogen fertilisation, water-nitrogen interaction, crop model


UMR LEPSE - INRAE :  Pierre Martre (thesis supervisor) and Boris Parent (co-supervision)

ITK SAS : Amelie Pinet and Serge Zaka (doctors in agronomy)