2013
DOI: 10.1186/1179-5395-43-12
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Differences in intra-tree variation in spiral grain angle for radiata pine

Abstract: Background: Spiral grain angle (SGA) is an important factor affecting the distortion and utilisation of solid timber. Little research has investigated how SGA varies at a fine scale within trees and whether this fine-scale threedimensional variation is similar between genotypes. The objectives of this research were to (i) characterise threedimensional variation in SGA within stems and clones, and (ii) understand how intra-stem variation in SGA varies between genotypes.

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Cited by 8 publications
(11 citation statements)
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“…The patterns of SGA predicted by the models generally confirms what has been described for radiata pine in the literature (e.g. Cown et al 1991b;Harris 1989;Lausberg et al 1995;Tian et al 1995;Watt et al 2013). In the radial direction, the models developed here showed that there is a predominantly linear decline in SGA with increasing ring number from the pith and the rate of decline decreases with increasing height up the stem.…”
Section: Discussionsupporting
confidence: 85%
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“…The patterns of SGA predicted by the models generally confirms what has been described for radiata pine in the literature (e.g. Cown et al 1991b;Harris 1989;Lausberg et al 1995;Tian et al 1995;Watt et al 2013). In the radial direction, the models developed here showed that there is a predominantly linear decline in SGA with increasing ring number from the pith and the rate of decline decreases with increasing height up the stem.…”
Section: Discussionsupporting
confidence: 85%
“…Riddell et al 2012) now mean that it is possible to collect higher resolution data on the variation in SGA within a stem, particularly in the circumferential direction, which will enable a better understanding of the patterns of variation as well as providing better data for modelling this variation. Previous studies in radiata pine have noted that there is a large amount of tree-to-tree variation in the radial patterns of SGA (Cown et al 1991b;Watt et al 2013). The magnitude of this tree-to-tree variation is apparent in this study because when the random effects of site and tree were considered, the total amount of variation in SGA explained by the models almost doubled.…”
Section: Discussionmentioning
confidence: 48%
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