Explore the words cloud of the B4EST project. It provides you a very rough idea of what is the project "B4EST" about.
The following table provides information about the project.
Coordinator |
INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT
Organization address contact info |
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 |
Take a look of project's partnership.
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.
year | authors and title | journal | last update |
---|---|---|---|
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, MarÃa S. Poceiro, MarÃa Lores, Laura M. Rolke, Luis Sampedro Phenotyping tree resistance to a barkâ€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 Lópezâ€Goldar, Caterina Villari, Pierluigi Bonello, Anna Karin Borgâ€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 GarcÃa 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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