The future Heidi Dungey, Emily Telfer, Mari Suontama, Yongjun Li, Jaroslav Klápště Jonathan Dash, Dave Pont, Mike Watt and many others
What is the future • Precision forestomics! • What?!! • Genomics • Phenotyping • Geospatial / remote sensing
Precision Forestomics Genomics Phenotyping GeoSpatial Remote sensing
Genomic Resources - Forest Trees Douglas-fir Oak Spruce Pinus radiata Populus trichocarpa Eucalyptus grandis Sugar Loblolly Maritime 2004 2011 ??? & others
Genomic selection can let us skip a generation of breeding – rapid delivery of improved trees (Isik et al. 2014)
• Collaboration – sharing/using genomic resources • Breeding by design – responsive • Diversity • Disease
1000 bull genomes project • a large database for genomic prediction and genome wide association studies in all cattle breeds • http://www.1000bullgenomes.com/
Genomic selection • Used in almost all dairy breeding programs • Worldwide, 2 million dairy cattle have now been genotyped
Geospatial • In NZ we have access to many GIS layers of information • Climate, soils • Forest productivity
Phenotyping
Terrestrial LiDAR – Diameter measurements
FARO Focus 3D with photometric render Single tree 100 Gigabytes Whole Stand 5 Terabytes
Precision Forestomics Genomics Phenotyping GeoSpatial Remote sensing
Data – size and relationship
6 MB
An example -72MB
We propose a bright future with integration of new technology • How do we answer the questions posed by David Balfour ? • What we know • What tools we now have
David Balfour’s questions • How fast can a new generation be deployed with confidence of desired performance that can be taken to value – include propagation? • Does genetics lift the site carrying capacity and what can we aim for – MAI 40+? • How do you trade off the different traits e.g what volume would be sacrificed to get flat strength/density gradient pith to bark. • What genetic diversity should foresters aim for – should clones be planted in mixtures?
www.fgpc2016.nz #FGPC2016 • Breeding productive & resilient forests • Finding the synergies in genotype, environment and silviculture • Genomics and phenomics
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