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

Michel Génard

Director of research

Michel GENARD

Directeur de Recherche

UR 1115 Plantes et Systèmes de culture Horticoles

Equipe : Ecophysiologie des Plantes Horticoles

CONTACTS
INRA

Domaine Saint Paul, Site Agroparc

CS 40509

84914 Avignon Cedex 9
Tél : 33 – (0) 432 72 24 58
Fax : 33 – (0) 432 72 22 82

Email : michel.genard@avignon.inra.fr

————
————————————————————————

  •  POSITIONS AND EDUCATION

1984 PhD thesis in Agronomical Sciences, speciality Ecology.
1999 HDR, Accreditation to supervise research in life sciences, Montpellier II University.
Head of the unit Plants and cropping Systems in Horticulture (UR PSH). The unit, composed of 25 scientists (more than 50 permanents) is involved in research on horticultural food productions, mainly fresh fruits and vegetables. It aims at predicting the effects of cultural techniques on the quality of products and promoting environment-friendly practices.
Coordination of the Pole for Integrated Horticulture (PHI) of the INRA Avignon Center
(http://www.avignon.inra.fr/phi)

  • RESEARCH INTERESTS

Description and understanding of the components of fleshy fruit quality, considering genetic and plant controls, in relation to the environment and cultural practices. Research is conducted from the viewpoint of a quantitative integration of physiological functions in models explaining fruit development and quality. With this approach, scientific innovation emerges as much from the integrative viewpoint as from process descriptions. Many models describing the main physiological processes involved in cell division, DNA endoreduplication, fruit growth, sugar and acid accumulation and ethylene metabolism have been developed. These models have been integrated in a Virtual Fruit model that can be used to analyse phenotypes following a virtual profiling approach.

  • SELECTION OF PUBLICATIONS

More than 100 peer-reviewed scientific articles.
Muller B, Pantin F, Génard M, Turc O, Freixes S, Piques M, Gibon Y. 2011. Water deficits uncouple growth from photosynthesis, increase C content, and modify the relationships between C and growth in sink organs.J. Exp. Bot. 62: 1715–1729.
Prudent M., Lecomte A., Bouchet J.-P., Bertin N., Causse M., Génard M. 2011. Combining ecophysiological modelling and quantitative trait loci analysis to identify key elementary processes underlying tomato fruit sugar concentration. J. Exp. Bot. 62: 907–919.
Bertin N, Martre P, Génard M, Quilot B, Salon C. 2010. Under what circumstances can process-based simulation models link genotype to phenotype for complex traits? Case- study of fruit and grain quality traits. J. Exp. Bot. 61: 955-967.
Génard M, Bertin N, Gautier H, Lescourret F, Quilot B. 2010.Virtual profiling: a new way to analyse phenotypes.The plant Journal62: 344–355.
Dai Z.W, Vivin P, Robert TT, Milin S, Li SH, Génard M. 2009. Model-based analysis of sugar accumulation in response to source-sink ratio and water supply in grape (Vitis vinifera) berry. Functional Plant Biology 36: 527-540.
Génard M, Dauzat J, Franck F, Lescourret F, Moitrier N, Vaast P, Vercambre G 2008. Carbon allocation in fruit trees: from theory to modelling. Trees 22: 269-282.
Génard M, Bertin N, Borel C, Bussières P, Gautier H, Habib R, Léchaudel M, Lecomte A, Lescourret F, Lobit P, Quilot B. 2007. Towards a virtual fruit focusing on quality: modelling features and potential uses. J. Exp. Bot. 58: 917-928.
Lobit P, Génard M, Soing P, Habib R 2006. Modelling malic acid accumulation in fruits: relationships with organic acids, potassium, and temperature. J. Exp. Bot. 57: 1471-1483.
Génard M, Gouble B 2005. ETHY. A theory of fruit climacteric ethylene emission. Plant Physiol. 139: 531-545.
Quilot B, Génard M, Lescourret F & Kervella J 2005. Simulating genotypic variation of fruit quality in an advanced peach X Prunus davidiana cross. J. Exp. Bot. 56: 3071-3081.