Qualifications & Memberships
Research interests include tree breeding and quantitative genetics, maximisation of sustainable site productivity through the use of genetical-statistical tools and general ‘quantitative forestry' - which involves problems with numbers to improve forest management. Specific interests are:-geographic patterns of genetic variability for forest trees-development of economic breeding objectives-simulation and optimisation of breeding strategies-large scale genetic evaluation-genetics of wood properties-breeding/population genetics of non-tree species
- Altaner C., Apiolaza L., McConnochie R., Millen P. and Murray T. (2017) Section 1: NZDFI Breeding Research Plan.
- Davies NT., Apiolaza LA. and Sharma M. (2017) Heritability of growth strain in Eucalyptus bosistoana: a Bayesian approach with left-censored data. New Zealand Journal of Forestry Science 47(5): 5. http://dx.doi.org/10.1186/s40490-017-0086-2 or https://nzjforestryscience.springeropen.com/articles/10.1186/s40490-017-0086-2.
- Li Y., Dungey H., Yanchuck A. and Apiolaza LA. (2017) Improvement of non-key traits in radiata pine breeding programme when long-term economic importance is uncertain. PLoS ONE 12(5) e0177806: 1-15. http://dx.doi.org/10.1371/journal.pone.0177806 |.
- Morgenroth J., O’Neil-Dunne J. and Apiolaza LA. (2017) Redevelopment and the urban forest: A study of tree removal and retention during demolition activities. Applied Geography 82: 1-1. http://dx.doi.org/10.1016/j.apgeog.2017.02.011 or https://www.sciencedirect.com/science/article/pii/S0143622817302084.
- Apiolaza LA. and Moltchanova, E. (2016) Sampling tree breeding trials. Rotorua, New Zealand: Forest Genetics for Productivity Conference, 14-18 Mar 2016