2015
DOI: 10.1186/s40490-015-0046-7
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Modelling spiral grain angle variation in New Zealand-grown radiata pine

Abstract: Background: Spiral grain angle (SGA) is a wood property that has a strong influence on end-product quality, particularly for solid timber, and most commercial log and timber grading rules restrict the amount of visible surface sloping grain. The aim of this study was to develop parametric models that can be used to predict the intra-and inter-stem variation in SGA in radiata pine (Pinus radiata D.Don) trees growing in New Zealand. Methods: Empirical models were developed using a dataset that contained records … Show more

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Cited by 13 publications
(11 citation statements)
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“…Considerable regional variation also exists, which is mostly associated with differences in mean annual temperature [36,39,40]. Other wood properties of radiata pine, such as spiral grain angle and MFA, have characteristic pith-to-bark trends [40][41][42][43][44]. Burdon et al [45] summarized these general trends for loblolly and radiata pine.…”
Section: Wood Property Variationmentioning
confidence: 99%
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“…Considerable regional variation also exists, which is mostly associated with differences in mean annual temperature [36,39,40]. Other wood properties of radiata pine, such as spiral grain angle and MFA, have characteristic pith-to-bark trends [40][41][42][43][44]. Burdon et al [45] summarized these general trends for loblolly and radiata pine.…”
Section: Wood Property Variationmentioning
confidence: 99%
“…Examples include models to predict within-tree variation of spiral grain [43,117], and to predict microfibril angle [42] as a function of ring number from pith and height, as well as another to predict variation in within-tree stiffness across a wide range of environmental and stand-density gradients in New Zealand [69]. Models with the capability of predicting a range of wood properties in species, such as loblolly and radiata pine, improve our ability to manage optimal wood-utilization, wood-quality, and end-product potential, particularly when they are coupled with models of growth and yield.…”
Section: Mathematical Models For Explaining Variation In Wood Propertmentioning
confidence: 99%
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“…• X-ray densitometry to measure specific gravity [18][19][20] • X-ray diffraction to measure the microfibril angle [21][22][23] • Automated image analysis to measure fiber dimensions on macerated fibers [24,25] or on solid wood samples [26][27][28] • Near-infrared spectroscopy to predict a variety of properties [29][30][31] • Acoustics in combination with density to measure stiffness [32,33], or to correlate acoustic velocity values to MFA or tracheid length [34,35] • Light transmission to measure spiral grain [36,37] Of the aforementioned tools, X-ray densitometry has arguably been the most widely used to investigate radial patterns of variation. This is undoubtedly due to the overall importance of wood density, the ease of measurement, and the variety of X-ray densitometry instruments/techniques that are available [20].…”
Section: Introductionmentioning
confidence: 99%
“…For most wood properties the initial radial progression is steep, followed by asymptotic approaches to outerwood values [11,12]. One exception is spiral grain angle, which typically shows an initial increase before dropping more or less asymptotically [13]. The detailed pith-to-bark trajectories in relation to ring numbers from the pith differ markedly among properties, and for individual properties they can differ appreciably among trees.…”
Section: Introductionmentioning
confidence: 99%