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

Team 1 : Growth, Architecture and Quality (CRAQ)

In a context of global change, horticultural production systems have to evolve and diversify in order to in order to face production constraints (reduction of inputs), consumers’ demand (taste, nutritional quality and environmental quality) and specific requirements of this sector (production, conservation, processing).

In this context, the Growth, Architecture and Quality team (CRAQ) studies the impact of cultural practices, abiotic factors and genotype on the growth of horticultural plants, in order to optimize the acquisition of resources and the growth of the plant and its organs (roots, stems, leaves, fruits) under suboptimal conditions, while improving the quality of fresh or processed products.

We work on three model species mainly: tomato, peach and apple. We investigate processes at different scales, from cell to plant and our work combines methodological, experimental and modeling approaches.

We develop process-based models and functional-structural models, whose levels of complexity and integration are variable and compatible with our objectives regarding multi-scale integration (from the cell to the plant, from simplified model to meta-model) and analysis of genetic variability (links between QTLs or genes and genetic parameters). These models are used both for research and integration of knowledge and for innovation in terms of production systems (analysis of complex systems, emerging properties, in silico experiments, high-throughput phenotyping, ideotype design).

Our research is structured around three axes:

1. Quantify and model the effects of abiotic stress factors on the processes involved in resource acquisition (water, carbon, minerals), organ growth (roots, leaves, stem), and fruit yield and quality build-up.

2. Analyze the intra- and interspecific diversity in plant adaptation strategies to abiotic factors, in order to identify processes / traits of adaption at the plant and organ scales. The main traits examined relate to root and aerial architecture, growth and metabolism of the fruit and leaf.

3. Understand, prioritize and model the interactions among processes underlying organoleptic and nutritional quality at the fruit level.