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GenTree SIGNED

Optimising the management and sustainable use of forest genetic resources in Europe

Total Cost €

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EC-Contrib. €

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Partnership

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Project "GenTree" 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.gentree-h2020.eu/
 Twitter https://twitter.com/GentreeProject
 Total cost 7˙986˙747 €
 EC max contribution 6˙700˙000 € (84%)
 Programme 1. H2020-EU.3.2. (SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy)
 Code Call H2020-SFS-2015-2
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-03-01   to  2020-02-29

 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˙152˙958.00
2    IGA TECHNOLOGY SERVICES SRL IT (UDINE) participant 900˙000.00
3    INTERNATIONAL PLANT GENETIC RESOURCES INSTITUTE*IPGRI IT (MACCARESE ROMA) participant 497˙500.00
4    STIFTELSEN SKOGSBRUKETS FORSKNINGSINSTITUT - SKOGFORSK SE (UPPSALA) participant 413˙500.00
5    INSTITUTO NACIONAL DE INVESTIGACION Y TECNOLOGIA AGRARIA Y ALIMENTARIA OA MP ES (MADRID) participant 374˙000.00
6    EUROPEAN FOREST INSTITUTE FI (JOENSUU) participant 350˙687.00
7    INRA TRANSFERT SAS FR (PARIS) participant 329˙998.00
8    ARISTOTELIO PANEPISTIMIO THESSALONIKIS EL (THESSALONIKI) participant 320˙000.00
9    AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS ES (MADRID) participant 295˙498.00
10    NIBIO - NORSK INSTITUTT FOR BIOOKONOMI NO (AAS) participant 276˙000.00
11    JOHANN HEINRICH VON THUENEN-INSTITUT, BUNDESFORSCHUNGSINSTITUT FUER LAENDLICHE RAEUME, WALD UND FISCHEREI DE (BRAUNSCHWEIG) participant 251˙500.00
12    UNITED KINGDOM RESEARCH AND INNOVATION UK (SWINDON) participant 244˙000.00
13    BAYERISCHES STAATSMINISTERIUM FUR ERNAHRUNG, LANDWIRTSCHAFT UND FORSTEN DE (MUNCHEN) participant 236˙000.00
14    CONSIGLIO NAZIONALE DELLE RICERCHE IT (ROMA) participant 230˙500.00
15    UPPSALA UNIVERSITET SE (UPPSALA) participant 222˙090.00
16    OULUN YLIOPISTO FI (OULU) participant 199˙000.00
17    PHILIPPS UNIVERSITAET MARBURG DE (MARBURG) participant 196˙000.00
18    VYTAUTO DIDZIOJO UNIVERSITETAS LT (KAUNAS) participant 122˙600.00
19    LIECO GMBH CO KG AT (KALWANG) participant 88˙166.00
20    ALEKSANDRO STULGINSKIO UNIVERSITETAS LT (KAUNAS) participant 0.00
21    EIDGENOSSICHEN FORSCHUNGSANSTALT FUR WALD SCHNEE UND LANDSCHAFT CH (BIRMENSDORF) participant 0.00
22    FEDERAL STATE INSTITUTION OF SCIENCE INSTITUTE OF PLANT AND ANIMAL ECOLOGY, URAL BRANCH OF THE RUSSIAN ACADEMY OF SCIENCES RU (EKATERINBURG) participant 0.00
23    NATURAL ENVIRONMENT RESEARCH COUNCIL UK (SWINDON WILTSHIRE) participant 0.00
24    RADIATA PINE BREEDING COMPANY LIMITED NZ (ROTORUA) participant 0.00

Map

 Project objective

The goal of GenTree is to provide the European forestry sector with better knowledge, methods and tools for optimising the management and sustainable use of forest genetic resources (FGR) in Europe in the context of climate change and continuously evolving demands for forest products and services. To reach its goal, GenTree will make scientific, technological and implementation breakthroughs in: (i) designing innovative strategies for dynamic conservation of FGR in European forests, (ii) broadening the range of FGR used by European breeding programmes, and (iii) preparing new forest management scenarios and policy frameworks fully integrating genetic conservation and breeding aspects, to adapt forests and forestry to changing environmental conditions and societal demands. GenTree focuses on economically and ecologically important tree species in Europe, growing in a wide range of habitats and covering different societal uses and values. The major outputs of GenTree will include: (i) much needed new scientific knowledge on phenotypic and genotypic diversity across environmental gradients in Europe, (ii) improved genotyping and phenotyping monitoring tools for practitioners, (iii) updated and refined data for information systems of in-situ and ex-situ FGR collections, (iv) innovative strategies for conservation, breeding and exchanging and using diversified forest reproductive material, (v) novel outreach and science-policy support tools to better integrate FGR concerns into forest management and better implement relevant international commitments in Europe. GenTree will improve the status and use of European in-situ and ex-situ FGR collections, support acquisition, conservation, characterisation, evaluation and use of relevant FGR in breeding and forestry practice and policy, will seek to harmonise, rationalise and improve management of existing collections and databases, and will strengthen the EU strategy for cooperation on FGR research and innovation.

 Deliverables

List of deliverables.
Report on policy instruments and measures Documents, reports 2020-04-23 02:36:06
List of DCUs under threat developed and suggested for ex-situ conservation Documents, reports 2020-04-23 02:36:06
A list of a set of genes to be sequenced across the seven species Documents, reports 2020-04-23 02:36:06
Gaps in the European Conservation network Documents, reports 2020-04-23 02:36:06
Report on all stakeholders engagement events Documents, reports 2020-04-23 02:36:06
Annual newsletter year 2 Documents, reports 2020-04-23 02:36:06
List of key relevant traits useful for characterizing local adaptation and tree responses to global environmental change Documents, reports 2020-04-23 02:36:05
GenTree project website Websites, patent fillings, videos etc. 2020-04-23 02:36:05
GenTree data management plan Documents, reports 2020-04-23 02:36:05
Annual newsletter year 1 Documents, reports 2020-04-23 02:36:05
GenTree dissemination and knowledge transfer plan Documents, reports 2020-04-23 02:36:05
Leaf samples from pairs of populations in contrasted environments in ten countries Other 2020-04-23 02:36:05

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

 Publications

year authors and title journal last update
List of publications.
2019 Thibaut Fréjaville, Natalia Vizcaíno‐Palomar, Bruno Fady, Antoine Kremer, Marta Benito Garzón
Range margin populations show high climate adaptation lags in European trees
published pages: 484-495, ISSN: 1354-1013, DOI: 10.1111/gcb.14881
Global Change Biology 26/2 2020-04-23
2019 Natalia Vizcaíno-Palomar, Marta Benito Garzón, Ricardo Alia, Guia Giovannelli, Gerhard Huber, Sven Mutke, Patrick Pastuszka, Annie Raffin, Hassan Sbay, Muhidin Šeho, Denis Vauthier, Bruno Fady
Geographic variation of tree height of three pine species (Pinus nigra Arn., P. pinaster Aiton, and P. pinea L.) gathered from common gardens in Europe and North-Africa
published pages: , ISSN: 1286-4560, DOI: 10.1007/s13595-019-0867-2
Annals of Forest Science 76/3 2020-04-23
2019 Laurent Bouffier, Jaroslav Klápště, Mari Suontama, Heidi S. Dungey, Tim J. Mullin
Evaluation of forest tree breeding strategies based on partial pedigree reconstruction through simulations: Pinus pinaster and Eucalyptus nitens as case studies
published pages: 1504-1515, ISSN: 0045-5067, DOI: 10.1139/cjfr-2019-0145
Canadian Journal of Forest Research 49/12 2020-04-23
2019 Natalia Vizcaíno-Palomar, Noelia González-Muñoz, Santiago C. González-Martínez, Ricardo Alía, Marta Benito Garzón
The Tree Height Growth of Most Southern Scot Pine Populations Are Locally Adapted to Drought
published pages: 555, ISSN: 1999-4907, DOI: 10.3390/f10070555
Forests 10/7 2020-04-23
2019 Fréjaville, T., Fady, B., Kremer, A., Ducousso, A., Benito Garzon, M.
Inferring phenotypic plasticity and local adaptation to climate across tree species ranges using forest inventory data
published pages: , ISSN: 1466-822X, DOI: 10.1101/527390
Global Ecology and Biogeography 2020-04-23
2018 Makoto Yamashita, Tim J. Mullin, Sena Safarina
An efficient second-order cone programming approach for optimal selection in tree breeding
published pages: 1683-1697, ISSN: 1862-4472, DOI: 10.1007/s11590-018-1229-y
Optimization Letters 12/7 2020-04-23
2017 Mullin, T.J.
OPSEL 2.0: A computer program for optimal selection in tree breeding
published pages: , ISSN: 1404-305X, DOI:
Arbetsrapport Från Skogforsk 954-2017 2020-04-23
2017 Mullin, T.J.
XDesign 1.0: a tool for generation of complex mating designs with optimal contributions
published pages: , ISSN: 1404-305X, DOI:
Arbetsrapport Från Skogforsk 956-2017 2020-04-23
2018 Thibaut Fréjaville, Marta Benito Garzón
The EuMedClim Database: Yearly Climate Data (1901–2014) of 1 km Resolution Grids for Europe and the Mediterranean Basin
published pages: , ISSN: 2296-701X, DOI: 10.3389/fevo.2018.00031
Frontiers in Ecology and Evolution 6 2020-04-23
2016 Mullin, T.J., Yamashita, M. and Belotti, P.
Optimising selection in tree breeding with constraints on relatedness and operational flexibility
published pages: 40, ISSN: , DOI:
Forest genetics for productivity conference: the next generation. 14-18 March 2016, Rotorua, New Zealand - Handbook of Abstracts 2020-04-23
2018 Mullin, T.J. and Persson, T.
Assembling optimum breeding populations for the Swedish Scots pine breeding program
published pages: , ISSN: 1404-305X, DOI:
Arbetsrapport 965-2018 2020-04-23
2018 Mullin, T.J.
POPSIM: a computer program for simulation of tree breeding programs over multiple generations
published pages: , ISSN: 1404-305X, DOI:
Arbetsrapport Från Skogforsk 984-2018 2020-04-23
2019 Raquel Benavides, Fernando Valladares, Christian Wirth, Sandra Müller, Michael Scherer-Lorenzen
Intraspecific trait variability of trees is related to canopy species richness in European forests
published pages: 24-32, ISSN: 1433-8319, DOI: 10.1016/j.ppees.2018.12.002
Perspectives in Plant Ecology, Evolution and Systematics 36 2020-04-23
2019 Raquel Benavides, Michael Scherer‐Lorenzen, Fernando Valladares
The functional trait space of tree species is influenced by the species richness of the canopy and the type of forest
published pages: , ISSN: 0030-1299, DOI: 10.1111/oik.06348
Oikos 2020-04-23

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