WP1

WP1 New method for the assessment of canopy, branch allometry, stem volume and quality

Research Group: WP Leader: Johan Holmgren (SLU). Collaborators: Kenneth Olofsson (SLU), Gerhard Scheepers (RISE: Wood technology), PhD1, PhD2, Postdoc1, Svea Skog, SCA

We are using airborne laser scanning to delineate tree crowns and estimate tree positions together with tree height. Branch level information are also obtained from laser scanners mounted on drones and operated in commercial forests. We develop models which use high-resolution airborne laser scanning and below canopy scanning laser scanning in conjunction. Tree-level fusion of above/below canopy measurements will be used to create models for estimation of wood quality. Algorithms will be used to detect branches and model their geometry from above/below canopy laser scanning. Algorithms are developed to model stem attributes, such as stem volume, stem straightness, and branch attachments using below canopy laser scanning. Samples will be used to create models that relate metrics derived from remote sensing to wood quality.
 
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WP3

WP3 New remote sensing model to predict phyllosphere diseases

Research Group: WP Leader: Malin Elfstrand (SLU). Collaborators: Eva Lindberg (SLU), Jan Stenlid (SLU), PhD1, PhD2, Postdoc1, Sveaskog, SCA

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WP4

WP4 New Genomic tools for tree selection

Research Group: WP Leader: M Rosario García-Gil (SLU). Collaborators: David Hall (Skogforsk), Postdoc2

In species with large, highly complex genomes, the limitation of marker density may preclude accurate pedigree reconstruction and sufficient accuracy of genomic prediction. In a comparative study between Douglas fir and Interior spruce, the authors concluded that a substantial increase in accuracy of genomic prediction requires a dramatic increase in marker density, which remains prohibitive despite the constant advances in genotyping technology and conifer genome assemblies. We will fill this gap by developing a panel of Single Sequence Repeats (SSRs). SSRs are highly polymorphic markers, which translates into a higher power of resolution at a much lower marker density compared to Single Nucleotide Polymorphisms (SNPs). Recent developments in RNA-Seq technology permits high-throughput SSR genotyping, however, the application of genome-wide SSRs genotyping in genetic studies remains scarce. Furthermore, in SNPchip genotyping, even based on a large number of pre-tested spotted markers, on average, half of the spotted markers do not deliver reliable data.

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WP5

WP 5 Implementation of Landscape Breeding in commercial plantations

Research Group: WP Leaders: M Rosario García-Gil (SLU) and David Hall (Skogforsk). PhD3, Postdoc3, Sveaskog, SCA

Description: The Swedish commercial forests in large percentage will consist of mixtures of cloned half-sib progenies whose kinship can be reconstructed with molecular markers. This information can be used to estimate genetic diversity and ”realistic” genetic gain in commercial forests to select the best trees as seed donors, followed by Genomic Selection in the nursery stage. In this project, we will develop a novel approach to circumvent the limitations of conventional breeding.

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WP6

WP6. Project coordination, graduate education, knowledge sharing and uptake of results

Coordination Group: WP Leader: M Rosario García-Gil (SLU). Collaborators: Malin Elfstrand (SLU), David Hall (Skogforsk Breeder), Maria Klintenäs (SLU Holding), PhD3, Postdoc3

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