Welcome to our first newsletter!

B4EST is an EU-funded H2020 project which focuses on adaptive breeding for productive, sustainable and resilient forests under climate change.

Climate change can increase forest vulnerability to damage and disease, reduce forest health and productivity, and cause economic losses. B4EST’s goal is to increase forest survival, health, resilience and productivity under these circumstances, while maintaining genetic diversity and key ecological functions, and fostering a competitive EU bio-based economy.  B4EST aims to provide forest tree breeders, forest owners, managers and policy makers with better scientific knowledge to deal with these issues.

How to genotype hundreds of trees in a blink of an eye?
Dr Tanja Pyhäjärvi , University of Oulu, Finland All breeding is based on genetic differences among individuals. In traditional breeding, the similarity of genetic background and the relatedness among individuals…
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1st B4EST annual meeting
B4EST partners gathered in Edinburgh from 21-23 May for the first Annual Meeting. The meeting was a chance for an update on the progress of the project, and to work…
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Making the management of genetic diversity in forest tree breeding efficient, flexible and fast
The use of genomic information for tree selection has the potential to identify more accurately individual trees carrying favorable genes and at earlier stages of their development than we had…
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What plant materials should we use and how should they be managed to provide Europe with healthy and productive forests in a future climate?
The Ålbrunna Norway spruce seed orchard. Currently the main provider of improved plant material in central Sweden. One of many seed sources that need to be characterized in detail in…
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Investigating how tree characteristics interact to help us produce ‘good’ trees in a changing environment.
Although in tree biology we often study single characteristics or ‘traits’, we know that in reality natural selection has acted on all traits at the same time. The tree we…
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Assessing the biological and climatic factors affecting the productivity and resilience of trees.
B4EST began in May 2018, and is a Horizon2020 EU funded project led by Dr Catherine Bastien from INRA in Orleans, France. The project aims to enhance the role of…
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Events
Training workshop on “Concepts and tools for optimum selection in forest tree breeding”
28-30 October 2019, HÖÖR, SwedenMore information Organised by the GENTREE project.Participants: forest managers and practitioners, forest breedersDeadline for application: 15 June 2019 Tree breeders must often consider conservation of genetic…
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XXV IUFRO World Congress, 2019
The XXV IUFRO World Congress will be held in Curitiba, Brazil from 29 September to 5 October 2019. Several sessions deal with incorporating genetics to forest management and conservation: D2a…
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Publications

2019

Mats Berlin, Curt Almqvist, Matti Haapanen, Karl-Anders Högberg, Gunnar Jansson, Torgny Persson, Seppo Ruotsalainen. (2019). Common Scots pine deployment recommendations for Sweden and Finland. ARBETSRAPPORT 1017-2019, Skogforsk.

Marchi, M. (2019) Nonlinear versus linearised model on stand density model fitting and stand density index calculation: analysis of coefficients estimation via simulation. J. For. Res. doi: 10.1007/s11676-019-00967-0

Marchi, M., Sinjur, I., Bozzano, M and Westergren, M. (2019). Evaluating WorldClim Version 1 (1961–1990) as the Baseline for Sustainable Use of Forest and Environmental Resources in a Changing Climate. Sustainability, 11(11), 3043; https://doi.org/10.3390/su11113043

Skrøppa T., Steffenrem A. (2019). Genetic variation in phenology and growth among and within Norway spruce populations from two altitudinal transects in Mid-Norway. Silva Fennica vol. 53 no. 1 article id 10076. doi: 10.14214/sf.10076

2018

López-Goldar X, Villari C, Bonello P, Borg-Karlson AK, Grivet D, Zas R and Sampedro L (2018) Inducibility of Plant Secondary Metabolites in the Stem Predicts Genetic Variation in Resistance Against a Key Insect Herbivore in Maritime Pine. Front. Plant Sci. 9:1651. doi: 10.3389/fpls.2018.01651

B4EST

info@b4est.eu

www.b4est.eu
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