HANSEN Ole Kim's profile
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HANSEN Ole KimORCID_LOGO

  • Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
  • Forest tree breeding, Population dynamics, genetics and genomics of forest trees
  • recommender

Recommendations:  0

Reviews:  0

Areas of expertise
Quantitative and population genetics in forest trees. Single-tree breeding Provenance studies based on both quantitative genetics and DNA-markers in various species DNA barcoding of tree species. Experimental work on hybridization between species, and inbreeding depression through controlled crossings. Combining DNA markers, genomic approaches to high-throughput genotyping, pedigree reconstruction and quantitative genetics to perform forest tree breeding. Testing of new species and seed sources as a response to climate change. Establishment of field trials and analysis of quantitative traits important for adaptation (phenology, growth and abiotic damages). Tree interaction with pests – e.g. the fungus Neonectria neomacrospora in the Abies genus or aphids (Dreyfusia nordmannianae) in Christmas trees. Phylogeograpic studies of tree species in glacial refugias using DNA methods. High-throughput phenotyping of trees using drones.
avatar

HANSEN Ole KimORCID_LOGO

  • Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
  • Forest tree breeding, Population dynamics, genetics and genomics of forest trees
  • recommender

Recommendations:  0

Reviews:  0

Areas of expertise
Quantitative and population genetics in forest trees. Single-tree breeding Provenance studies based on both quantitative genetics and DNA-markers in various species DNA barcoding of tree species. Experimental work on hybridization between species, and inbreeding depression through controlled crossings. Combining DNA markers, genomic approaches to high-throughput genotyping, pedigree reconstruction and quantitative genetics to perform forest tree breeding. Testing of new species and seed sources as a response to climate change. Establishment of field trials and analysis of quantitative traits important for adaptation (phenology, growth and abiotic damages). Tree interaction with pests – e.g. the fungus Neonectria neomacrospora in the Abies genus or aphids (Dreyfusia nordmannianae) in Christmas trees. Phylogeograpic studies of tree species in glacial refugias using DNA methods. High-throughput phenotyping of trees using drones.