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:

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:, 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

Google Analytics

Targeted advertising cookies


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 or by post at:

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

Dernière mise à jour : Mai 2018

Menu Logo Principal

Home page

Fine milk composition phenotyping and genotyping: French research and dairy industries invest for the future

INRA Prod Anim 27(4) 299-302


1 Institut de l’Élevage, 149 rue de Bercy, F-75012 Paris, France
2 INRA, UMR1313 GABI, F-78352 Jouy-en-Josas, France
3 AgroParisTech, UMR1313 GABI, 16 rue Claude Bernard, F-75321 Paris, France
4 Cniel, 42 rue Châteaudun, F-75009 Paris, France
5 INRA, UMR1348 PEGASE, F-35590 Saint Gilles, France
6 Agrocampus Ouest, UMR1348 PEGASE, F-35000 Rennes, France


Thanks to PhenoFinlait program many knowledge and applications were developed regarding fine milk composition analysis, links between milk composition and farming systems, genetic determinism of milk fatty acids and proteins. Those results are based on a large scale data collection covering about 1,500 commercial farms. French dairy cattle, sheep and goat industries have now access to estimation equations for fatty acids and proteins based on mid infra-red spectra (MIR); very precise qualitative and quantitative analyzing method for milk proteins; references and tools to control milk composition by monitoring dairy females and animal feeding; reference populations for genomic selection and knowledge on genetic determinism of milk fatty acids and proteins profiles. Moreover, thanks to PhenoFinlait program, French research and dairy industries get a huge experience on MIR spectral data; large data-base and sample banks (milk and DNA) available for new developments both to go further on fine milk composition, or to investigate new topics (milk production traceability, animal health and reproduction monitoring, enteric methane emission…). Appropriation and valorization by the different French dairy industries stakeholders is going on, but a lot of work and efforts still has to be done for accompanying field actors in relevant implementation improving competitiveness of their process. Besides, many new research projects come directly from PhenoFinlait program or are partially based on its data, samples and know-how. It is very likely that it will generate new knowledge, references and applications of interest for French researchers, farmers and dairy industries.

Download documents