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 AgroParisTech Université Paris-Saclay

INRA GABI Unit

GABI : Génétique Animale et Biologie IntégrativeUnité Mixte de Recherche INRA - AgroParisTech

A long experience in genetic evaluation.

Since the 1966 Livestock Breeding Act and until the application of the European Zootechnical Regulation in November 2018, the French government has entrusted INRA with the official genetic evaluations of breeding animals. This mission of the Animal Genetics division was carried out by GABI for cattle, pigs and horses.

The objective of a genetic evaluation is to estimate the genetic value of the breeding animals, i.e. that is to estimate the expectation of what is transmitted to their progeny for a particular trait. This genetic value cannot be observed and must therefore be estimated from three types of information: pedigrees, performance (or phenotypes) and, more recently, information from polymorphisms in the genome. At the end of a genetic evaluation, an animal has a genetic value estimate for each trait evaluated. Genetic selection is based on these objective values for the genetic improvement of animals.

This genetic evaluation mission have relied on the National Genetic Information Systems (or SNIG). For each species, the SNIG includes a database managing all the data produced by the many partners. The Centre de Traitement de l'Information Génétique (CTIG, located in Jouy-en-Josas) centralizes and exchanges data from more than 200 organisms.

Until November 2018, GABI was responsible for the genetic evaluation of cattle, pigs and horses. This activity was fully integrated, from conception to production, and up to recommendations for use. The number of traits evaluated has steadily increased in all species, reflecting the increasing complexity of selection objectives. Over time, in addition to productivity traits directly related to product sales, product quality traits (meat, milk) were added, followed by functional traits essential for longevity and health of the animals. Thus, more than 40 traits were evaluated in cattle. Among the most recently evaluated traits were stillbirths, resistance to clinical mastitis, calving-1st insemination interval, acetonemia, feet and legs affections in dairy cattle, carcass traits recorded in slaughterhouses, fertility, career efficiency, adult morphology in beef cattle. Cattle evaluations were ISO9001 certified from 2006 to 2019 without interruption.

The use of genomics data has revolutionized the field of genetic evaluation and selection. GABI has always been at the forefront of global research to develop new tools and methods to use this new information. As early as October 2008, genomic selection was implemented in dairy cattle. This innovation is the most important innovation in breeding for several decades.
The European Zootechnical Regulation entrusts the responsibility for genetic evaluations to Breeding Organizations (BOs). A new industry-owned structure, GenEval, has been created to ensure the production of genetic evaluations for BOs. INRA has prepared for this evolution by transferring its software to GenEval, by training its staff, and by giving access to its calculation infrastructure within the framework of an agreement, so that the handover can take place under the best conditions.

For many years, this evaluation work has been carried out in close collaboration with the Technical Institutes in charge of disseminating the results to the users. This strong relationship between the teams of INRA, the Institut de l'Elevage and Allice is recognised by the Ministry of Agriculture within the framework of the "Mixed Technology Unit" eBIS renewed in 2017. This UMT, whose role has been strongly renewed, is still heavily involved in the design of evaluation methods, for example in the so-called "Single Step" methodology, in taking into account causal mutations, in the estimation of genotype x environment interactions or in the evaluation of crossbreed populations.