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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:

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The following types of cookies may be used on our websites:

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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

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GrassLandscape

Aberystwyth University - Institute of Biological, Environmental and Rural Sciences

Aberystwyth University - Institute of Biological, Environmental and Rural Sciences (IBERS) has a strong commitment to underpin strategic research for breeding programmes in perennial ryegrass and other crops. It is the only university department in the UK with active plant breeding programmes and the infrastructure necessary for such activity. This includes an extensive germplasm collection, greenhouse facilities, pollen-proof isolation glasshouses, seed multiplication, field laboratories and the IBERS farm for field-based phenotyping. This is complemented by the creation of a National Plant Phenomics Centre (http://www.phenomics.org.uk) for high-throughput phenotyping, which complements existing field and lab-based analytical chemistry (NIRS, GC-MS, etc). The impact of IBERS research on the development of improved forage and turfgrasses, as well as clovers, oats and pearl millet, was recently acknowledged by the award of the Queen’s Anniversary Prize for Higher and Further Education. IBERS was also recently awarded the Excellence with Impact award from BBSRC for the University department that has made the greatest progress in embedding a culture of excellence alongside impact. It has also invested in infrastructure for next generation sequencing for genomics-based breeding, with the purchase of Roche 454, Illumina HiSeq2500/HiScanSQ/MiSeq and Ion Torrent PGM/Proton platforms. Finally, recent investment has led to the formation of a new High-Performance Computing cluster as part of new facilities across both campuses, with purchase of two large server clusters (one high processing capability, one high-memory) for analysis of large datasets for both the NGS and Phenomics facilities.