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 INRA Logo ENDURE

QuantiPest

Objectives of the platform

Accurate, if not precise, characterisation of pest populations and injuries (as defined by Savary et al, 2006) due to pests (diseases, weeds and animal pests) is required for many activities related to crop protection, e.g.:
  • Research programs aiming at developing innovative chemical, biological, physical, genetic and cultural control methods;
  • Development of IPM and ICM programs;
  • Development of Decision Support Systems and models for crop protection;
  • Breeding programs;
  • Farmers’ field surveys to assess and rank the main pest problems within a given region;
  • Epidemiological studies;
  • Weed science studies;
  • Entomological studies;
  • Analyses of injury-damage relationships;
  • And crop protection in itself.

Many references and tools have been produced in order to help identify and quantify pest injuries and pest populations (e.g. Sweets and Wright, 2008). However, this information is scattered and somewhat difficult to localise when one wants to characterise injury profiles (i.e a given combination of injury levels caused by a range of pests during a crop cycle; Savary et al, 2006). In addition, there is usually a wide variety of methods to characterise a given pest pressure (being a pest injury or a pest population).
The aim of this methodological platform is to help design protocols to characterise injuries due to pests or pest populations. It does not aim at listing all available protocols used to characterise pest populations at the field level, but rather at providing references, methods and tools to help the development of protocol adapted to specific objectives.
The structure of this methodological platform includes five main sections, which correspond to either a knowledge valuation approach or a documentary management approach: see the presentation of these sections here.

Download the QuantiPest presentation leaflet here!

See also

References:

Savary S, Teng PS, Willocquet L, Nutter FW. (2006). Quantification and modeling of crop losses: a review of purposes. Annual Review of Phytopathology 44: 89-112
Sweets LE, Wright S. (2008). Integrated Pest Management: corn diseases. Plant Protection Programs. College of Agriculture, Food and Natural Resources. University of Missouri Extension.