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

Creation of an Internationally Associated Laboratory GIMIC (Genetic IMprovement of Indian Cattle and buffaloes) between GABI and an Indian NGO, the BAIF.

INRA, V. Ducroq
The Internationally Associated Laboratory GIMIC was created in 2018 for five years. It coordinates the activties of a large Indian NGO, the BAIF, and a group of geneticists and professors from AgroParisTech, all members of the research unit GABI. GIMIC will explore the use of modern tools such as genomic selection for genetic improvement of taurine x zebus crossbred animals and buffaloes in a tropical environment on small farms.

KEY-WORDS: Indian - ONG - genetic improvement - genomic selection - Bovine - Zébu -Buffaloe

LIA GIMIC
India has bovine and buffaloe populations over 100 million individuals each. However, their productivity is very lowdue to the difficult environmental conditions (climate, health situation), a very low intrant system, very small herds (fewer than two cows on average) and the absence of significant genetic progress for decades.

The BAIF (http://www.baif.org.in/) is a very large Indian NGO whos main goal is to improve the living conditions of small dairy farmers.

It was a pioneer organization in the introduction of cross-breeding in India using artificial insemination of cows with Bos taurus bulls (Holstein or Jersey), contributing to over 50% of the dairy production of the country.

Despite these programs, there has been little (or no) improvement of the indigenous and buffalo breeds. The development of genomic selection is, however, completely changing this context.

A partnership between GABI and the BAIF began in 2003 and has grown through the Genosouth1 and 2 projects of the SelGen metaprogram.

The LIA GIMIC should allow scaling-up and is based on a much more ambitious project of data analysis, unique in the world, which will establish an efficient genomic selection of pure and cross-bred zebus and even buffaloes. GIMIC involves seven permanent scientists from GABI who belong to the Bovine Genetics and Genomics team and the Population, Statistics and Genome team including three professors from AgroParisTech who will also contribute to the training of BAIF personnel.
The project combines fundamental and applied research to demonstrate that it is possible to develop lasting selection programs for cattle and buffalo in tropical conditions characterized by low-intrant breeding systems and very small herd size.

A review article was published in Frontiers in Genetics using the experience with the BAIF as a case study. This article, co-signed by the members of GIMIC, is a good illustration of what is ahead for the LIA.

Contact(s)

Scientific coordinator:

Associated division: Animal Genetics

Associated research center: Jouy-en-josas

SelGen Metaprogram

 INRA Guidance Document Priority

#1Global

#Global-1 : Facing global transitions head on
#Global-2 : Managing availability of bioresources on different scales

See also

Bibliographic references

Ducrocq V, Laloe D, Swaminathan M, Rognon X, Tixier-Boichard M and Zerjal T (2018) Genomics for Ruminants in Developing Countries: From Principles to Practice. Front. Genet. 9:251. doi: 10.3389/fgene.2018.00251