Opendata, web and dolomites

GenTORE SIGNED

Genomic management Tools to Optimise Resilience and Efficiency

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "GenTORE" data sheet

The following table provides information about the project.

Coordinator
INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT 

Organization address
address: Rue De L'Universite 147
city: PARIS CEDEX 07
postcode: 75338
website: www.inra.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Project website http://www.gentore.eu
 Total cost 7˙631˙999 €
 EC max contribution 6˙999˙999 € (92%)
 Programme 1. H2020-EU.3.2.1.1. (Increasing production efficiency and coping with climate change, while ensuring sustainability and resilience)
 Code Call H2020-SFS-2016-2
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-06-01   to  2022-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT FR (PARIS CEDEX 07) coordinator 1˙028˙501.00
2    STICHTING WAGENINGEN RESEARCH NL (WAGENINGEN) participant 873˙741.00
3    AARHUS UNIVERSITET DK (AARHUS C) participant 542˙500.00
4    SRUC UK (EDINBURGH) participant 499˙802.00
5    BAYERISCHE LANDESANSTALT FUR LANDWIRTSCHAFT DE (FREISING) participant 495˙236.00
6    RAFT SOLUTIONS LIMITED UK (RIPON) participant 408˙477.00
7    UNIVERSITA DEGLI STUDI DI PADOVA IT (PADOVA) participant 394˙150.00
8    TEAGASC - AGRICULTURE AND FOOD DEVELOPMENT AUTHORITY IE (Carlow) participant 375˙000.00
9    INSTITUT DE L'ELEVAGE FR (PARIS) participant 364˙750.00
10    NOLDUS INFORMATION TECHNOLOGY BV NL (WAGENINGEN) participant 311˙875.00
11    SVERIGES LANTBRUKSUNIVERSITET SE (UPPSALA) participant 301˙033.00
12    INRA TRANSFERT SAS FR (PARIS) participant 260˙000.00
13    CENTRO DE INVESTIGACION Y TECNOLOGIA AGROALIMENTARIA DE ARAGON ES (ZARAGOZA) participant 239˙167.00
14    EUROPEAN FORUM OF FARM ANIMAL BREEDERS NL (WAGENINGEN) participant 194˙565.00
15    ALLICE FR (PARIS CEDEX 12) participant 165˙062.00
16    VikingGenetics FMBA DK (Randers) participant 155˙000.00
17    UNIVERSIDAD DE LLEIDA ES (LLEIDA) participant 135˙000.00
18    FUNDACJA IMIENIA STANISLAWA KARLOWSKIEGO PL (SILNOWO) participant 92˙500.00
19    NEW MEDRIA FR (JANZE) participant 82˙401.00
20    FEDERAZIONE EUROPEA DI ZOOTECNICA IT (ROMA) participant 81˙236.00
21    FORSCHUNGSINSTITUT FUR BIOLOGISCHEN LANDBAU STIFTUNG CH (FRICK) participant 0.00

Map

 Project objective

The objective of GenTORE is to develop innovative genome-enabled selection and management tools to optimise cattle resilience and efficiency (R&E) in widely varying environments. These tools, incorporating both genetic and non-genetic variables, will be applicable across the full range of systems (beef, milk and mixed), and will thereby increase the economic, environmental and social sustainability of European cattle meat and milk production systems. To achieve this, GenTORE brings together: 1) multidisciplinary scientific expertise in genomics, environmental assessment, nutritional physiology, health management, precision livestock farming, mathematical modelling, and socio-economics; 2) partners and stakeholders representing breeding organisations, farm technology companies, farm and veterinary advisory services, and farm sectors (organic, grazing, etc.); and 3) a unique data basis including >1 million genotypes. This multi-actor team will develop tools for: multi-breed selection for R&E, characterisation of diverse farm environments, large-scale phenotyping of R&E using on-farm technology, on-farm management of breeding and culling decisions, and predicting the consequences for farm resilience of changing breeding and management. These tools are designed to be applicable under commercial conditions at the end of the project. They will allow increased use of the genomic diversity in cattle breeds, e.g. use of selective cross-breeding to best exploit the local production environment. They will also allow farm managers, their advisors, and policy-makers, to assess the relative importance of breeding for animal resilience vs breeding for efficiency, with respect to system resilience. As such GenTORE will not only enable the use of genomic information to facilitate predictive biology of efficiency- and resilience-related traits, but will also increase resilience of livestock production in the face of current and future challenges of climate change and food security.

 Deliverables

List of deliverables.
Report of recommendations of stakeholders Documents, reports 2020-04-24 03:17:21
Project brochures Other 2020-04-24 03:17:21
GenTORE project management (guidelines). Documents, reports 2020-04-24 03:17:21
Project website on-line Websites, patent fillings, videos etc. 2020-04-24 03:17:21
Outreach and dissemination plan Documents, reports 2020-04-24 03:17:21

Take a look to the deliverables list in detail:  detailed list of GenTORE deliverables.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "GENTORE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "GENTORE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.2.1.1.)

ROADMAP (2019)

Rethinking Of Antimicrobial Decision-systems in the Management of Animal Production

Read More  

SIEUSOIL (2019)

Sino-EU Soil Observatory for intelligent Land Use Management

Read More  

B-GOOD (2019)

Giving Beekeeping Guidance by cOmputatiOnal-assisted Decision making

Read More