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

Purpose

Shelf life

CAS and PHP session cookies

Login credentials, session security

Session

Tarteaucitron

Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie

Purpose

Shelf life

atid

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

13 months

atuserid

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

13 months

atidvisitor

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 cil-dpo@inrae.fr or by post at :

INRAE

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

Last update: May 2021

Menu Logo Principal MicMac-Design Partners

MicMac Design Project

MicMac-Design Project

Sub-task 4.2.2: Modelling of pathogen injury profiles and their related damage

Durum wheat
© G. Véricel (INRA Toulouse)
Durum wheat

The implementation of Integrated Pest Management (IPM) strategies require the consideration of injury profiles and the associated damages and to combine cultural, biological, genetic, physical and chemical control methods.

However, models are lacking to help handle such levels of complexity.

The objective of this sub-task is complementary to the sub-task 4.2.1 because it not only aims at developing models that represents the pathogen injury profile of a crop, but also representing crop loss (reduction in yield quality and quantity) under the influence of 5 control methods (cultural, biological, genetic, physical and chemical).

The models produced will be as generic as possible, but they will be developed only for two crops: wheat and sunflower.

Wheat being the main arable crop in Europe and in France, it is particularly important to be able to perform diagnosis of the relative yield loss caused by various pests.

A model, named WHEATPEST has been developed to represent yield losses caused by injury profiles for various production situations (Willocquet et al. 2008).

It is proposed to develop a complementary module in WHEATPEST in order to link the disease injury profile to production situation.

Up until now, this link has been analysed using statistical relationships between production situations and injury profile, but a more precise description of cultural practices and the related injury profile is required.

A PhD thesis on the modelling of the effects of cultural practices on the disease injury profile of wheat has been launched in the beginning of 2010 at EIP (Graduate School of Purpan).

This work will rely on the WHEATPEST formalisms for the modelling part and the cropping system experiment conducted in the Lamothe domain for the experimental part (sub-task 4.1.3).

The reason why sunflower was also included in this sub-task is that, due to its agronomical advantages, this crop should play a key role in low input cropping systems, although it suffers from the attacks of 4 major diseases (phma, phomopsis, sclerotinia, downy mildew).

A model is therefore needed to help to define IPM strategies to control diseases on sunflower.

The modelling work will be based on the model SUNFLO (Casadebaig et al. 2009) that represents the interaction between the cultivar, the environment, and the crop management on oil production, but that, up until now, does not take into account biotic stresses as the majority of crop models.

Concerning the technical aspects of the software, the model will be developed using the RECORD platform in order to help define the generic structure of the MicMac platform.

This study is part of a PhD thesis that started at autumn 2009 at the UMR AGIR, INRA Toulouse on the analysis and the modelling of sunflower pathogen injuries and damages under the influence of cultural practices.

The involved partners in this task are UMR AGIR and EIP.