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B4EST SIGNED

Adaptive BREEDING for productive, sustainable and resilient FORESTs under climate change

Total Cost €

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EC-Contrib. €

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Partnership

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 B4EST project word cloud

Explore the words cloud of the B4EST project. It provides you a very rough idea of what is the project "B4EST" about.

risk    stand    performance    native    societal    reproductive    offs    genotypes    policy    climate    maritime    valuable    profiles    forests    decision    eucalypts    models    fir    stone    demands    capitalise    industrial    strategies    geographical    competitive    survival    environments    genetic    species    material    managers    competitiveness    disturbances    industry    wood    diversity    risks    sustainable    scientific    balancing    broadleaves    bio    traits    spatial    productivity    multiple    economic    temporal    genomic    scots    six    functions    pine    resilience    makers    trade    tools    added    conifers    flexible    data    poplars    assessments    adaptive    owners    reinforce    solutions    frm    integrative    pest    norway    ash    recommendations    douglas    manager    ecological    tree    perception    raw    benefits    materials    b4est    threatened    breeders    maintaining    deployment    degree    health    cover    adapt    breeding    integration    natural    economy    forest    forestry    spruce    owner    economical    guide    landscape    stakeholder    acceptability   

Project "B4EST" 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]
 Total cost 6˙478˙663 €
 EC max contribution 6˙000˙000 € (93%)
 Programme 1. H2020-EU.3.2.1.4. (Sustainable forestry)
 Code Call H2020-BB-2017-2
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-05-01   to  2022-04-30

 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˙259˙651.00
2    STIFTELSEN SKOGSBRUKETS FORSKNINGSINSTITUT - SKOGFORSK SE (UPPSALA) participant 566˙817.00
3    INSTITUTO NACIONAL DE INVESTIGACION Y TECNOLOGIA AGRARIA Y ALIMENTARIA OA MP ES (MADRID) participant 405˙425.00
4    LUONNONVARAKESKUS FI (HELSINKI) participant 391˙937.00
5    CONSIGLIO PER LA RICERCA IN AGRICOLTURA E L'ANALISI DELL'ECONOMIA AGRARIA IT (ROMA) participant 350˙550.00
6    FORESTRY COMMISSION RESEARCH AGENCY UK (FARNHAM) participant 311˙348.00
7    EUROPEAN FOREST INSTITUTE FI (JOENSUU) participant 299˙550.00
8    SVERIGES LANTBRUKSUNIVERSITET SE (UPPSALA) participant 293˙450.00
9    CONSIGLIO NAZIONALE DELLE RICERCHE IT (ROMA) participant 288˙150.00
10    INRA TRANSFERT SAS FR (PARIS) participant 280˙000.00
11    ALTRI FLORESTAL, SA PT (MARINHA DAS ONDAS) participant 207˙925.00
12    NIBIO - NORSK INSTITUTT FOR BIOOKONOMI NO (AAS) participant 194˙331.00
13    OULUN YLIOPISTO FI (OULU) participant 192˙650.00
14    STICHTING WAGENINGEN RESEARCH NL (WAGENINGEN) participant 192˙150.00
15    CENTRE DE COOPERATION INTERNATIONALE EN RECHERCHE AGRONOMIQUE POUR LEDEVELOPPEMENT - C.I.R.A.D. EPIC FR (PARIS) participant 187˙148.00
16    UPPSALA UNIVERSITET SE (UPPSALA) participant 186˙450.00
17    UNIVERSITE PAUL SABATIER TOULOUSE III FR (TOULOUSE CEDEX 9) participant 160˙550.00
18    UNITED KINGDOM RESEARCH AND INNOVATION UK (SWINDON) participant 160˙050.00
19    FINSILVA OYJ FI (TAMPERE) participant 71˙866.00
20    NATURAL ENVIRONMENT RESEARCH COUNCIL UK (SWINDON WILTSHIRE) participant 0.00

Map

 Project objective

The goal of B4EST is to increase forest survival, health, resilience and productivity under climate change and natural disturbances, while maintaining genetic diversity and key ecological functions, and fostering a competitive EU bio-based economy. B4EST will provide forest tree breeders, forest managers and owners, and policy makers with: 1) better scientific knowledge on adaptation profiles and sustainable productivity, and added value of raw materials in important European tree species for forestry, 2) new and flexible adaptive tree breeding strategies, 3) tree genotypes of highly adaptive and economical value, 4) decision-support tools for the choice and use of Forest Reproductive Material (FRM) while balancing production, resilience and genetic diversity, including case studies developed with industrial partners, 5) integrative performance models to guide FRM deployment at stand and landscape level, 6) economic analyses of risks/benefits/costs, and 6) policy recommendations. B4EST will capitalise on the resources developed by past and current EU projects to produce -together with tree breeders, forest managers and owners, and the industry- operational solutions to better adapt forests to climate change and reinforce the competitiveness of the EU forest-based sector. To cover the geographical, economic and societal needs of forestry in the EU, B4EST will work with 8 (six native, two non-native) conifers and broadleaves with advanced breeding programmes (Norway spruce, Scots pine, maritime pine, poplars, Douglas-fir, eucalypts) or that are case studies of pest-threatened forests (ash) or valuable non-wood products (stone pine). Our approach will result in a high degree of data and knowledge integration, involving multiple and new target traits and their trade-offs; genomic information; temporal and spatial assessments in a wide range of environments; stakeholder demands; and forest owner and manager risk perception and acceptability of new breeding strategies.

 Publications

year authors and title journal last update
List of publications.
2019 Tore Skrøppa, Arne Steffenrem
Genetic variation in phenology and growth among and within Norway spruce populations from two altitudinal transects in Mid-Norway
published pages: , ISSN: 2242-4075, DOI: 10.14214/sf.10076
Silva Fennica 53/1 2020-04-24
2019 Rafael Zas, María S. Poceiro, María Lores, Laura M. Rolke, Luis Sampedro
Phenotyping tree resistance to a bark‐chewing insect, the pine weevil Hylobius abietis
published pages: 236-245, ISSN: 0003-4746, DOI: 10.1111/aab.12533
Annals of Applied Biology 175/2 2020-04-24
2019 Maurizio Marchi, Iztok Sinjur, Michele Bozzano, Marjana Westergren
Evaluating WorldClim Version 1 (1961–1990) as the Baseline for Sustainable Use of Forest and Environmental Resources in a Changing Climate
published pages: 3043, ISSN: 2071-1050, DOI: 10.3390/su11113043
Sustainability 11/11 2020-04-24
2019 Matteo Pecchi, Maurizio Marchi, Vanessa Burton, Francesca Giannetti, Marco Moriondo, Iacopo Bernetti, Marco Bindi, Gherardo Chirici
Species distribution modelling to support forest management. A literature review
published pages: 108817, ISSN: 0304-3800, DOI: 10.1016/j.ecolmodel.2019.108817
Ecological Modelling 411 2020-04-24
2019 Tanja Pyhäjärvi, Sonja T Kujala, Outi Savolainen
275 years of forestry meets genomics in Pinus sylvestris
published pages: 11-30, ISSN: 1752-4571, DOI: 10.1111/eva.12809
Evolutionary Applications 13/1 2020-04-24
2019 Maurizio Marchi
Nonlinear versus linearised model on stand density model fitting and stand density index calculation: analysis of coefficients estimation via simulation
published pages: 1595-1602, ISSN: 1007-662X, DOI: 10.1007/s11676-019-00967-0
Journal of Forestry Research 30/5 2020-04-24
2019 Xosé López‐Goldar, Caterina Villari, Pierluigi Bonello, Anna Karin Borg‐Karlson, Delphine Grivet, Luis Sampedro, Rafael Zas
Genetic variation in the constitutive defensive metabolome and its inducibility are geographically structured and largely determined by demographic processes in maritime pine
published pages: 2464-2477, ISSN: 0022-0477, DOI: 10.1111/1365-2745.13159
Journal of Ecology 107/5 2020-04-24
2019 Zhi-Qiang Chen, John Baison, Jin Pan, Johan Westin, Maria Rosario García Gil, Harry X Wu
Increased Prediction Ability in Norway Spruce Trials Using a Marker X Environment Interaction and Non-Additive Genomic Selection Model
published pages: 830-843, ISSN: 0022-1503, DOI: 10.1093/jhered/esz061
Journal of Heredity 110/7 2020-04-24

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The information about "B4EST" are provided by the European Opendata Portal: CORDIS opendata.

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