Visiting researcher Continued his post at Scion (New Zealand) Image Research at the Highlander Lab During on-site and on-line visits we explored the decomposition of adverse genetic correlations through targeted selection and mating in tree breeding. The main goals are: Explore the potential of different breeding and selection strategies to decompose adverse genetic correlations Factors affecting success to decompose adverse genetic correlations Define timeframe required to decompose adverse genetic correlations We are continuing collaboration in tree breeding. Background I have graduated in Dendrology and Forest Tree Breeding at Czech University of Life Sciences in Prague. Within my PhD project, I worked on the development of selection strategies using quadratic optimisation with direct implementation in Norway spruce breeding programme in Czechia. After completing PhD, I was a Postdoctoral Fellow at the University of British Columbia on genome-wide association mapping of wood chemistry and ultra structure traits to improve secondary cell wall for more efficient cellulose extraction. Additionally, I worked on proof-of-concept studies of genomic selection in forest trees using genotyping-by-sequencing and exome capture genotyping platforms. Since 2015, I am working as Research Scientist at Scion (New Zealand Forest Research Institute) and perform quantitative genetics evaluation of forest tree field experiments as well as the implementation of genomic selection in breeding programmes. I am specifically interested in: Forest tree breeding Statistical evaluations of forest progeny test Implementation of genomic selection in forest tree breeding Programming language and software: R and Rstudio ASReml SAS LaTeX Hobbies and personal interests Tennis Biking Relevant links Google Scholar Twitter ORCID LinkedIn Publons This article was published on 2024-09-02
