Prediction of Scots pine increment using a multivariate variance component model

VOC emissions of Scots pine

Temperature and light dependence of the VOC emissions of Scots pine V. Tarvainen, H. Hakola, H. Hellén, J. Bäck, P. Hari, and M. Kulmala Finnish Meteorological Institute, Sahaajankatu 20 E, FI-00880 Helsinki, Finland Department of Forest Ecology, University of Helsinki, Helsinki, Finland Department of Physical Sciences, University of Helsinki, Helsinki, Finland Received: 10 August 2004 – Accept...

Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.

Genetic prediction based on either identity by state (IBS) sharing or pedigree information has been investigated extensively with best linear unbiased prediction (BLUP) methods. Such methods were pioneered in plant and animal-breeding literature and have since been applied to predict human traits, with the aim of eventual clinical utility. However, methods to combine IBS sharing and pedigree in...

Multivariate NIR Studies of Seed-Water Interaction in Scots Pine Seeds (Pinus sylvestris L.)

Lestander, T. A. 2003. Multivariate NIR studies of seed-water interaction in Scots pine seeds (Pinus sylvestris L.). Doctoral dissertation. This thesis describes seed-water interaction using near infrared (NIR) spectroscopy, multivariate regression models and Scots pine seeds. The presented research covers classification of seed viability, prediction of seed moisture content, selection of NIR w...

Hydraulic adjustment of Scots pine across Europe.

* The variability of branch-level hydraulic properties was assessed across 12 Scots pine populations covering a wide range of environmental conditions, including some of the southernmost populations of the species. The aims were to relate this variability to differences in climate, and to study the potential tradeoffs between traits. * Traits measured included wood density, radial growth, xylem...

Extractives with Antimicrobial Properties from Scots Pine