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Forests 2015, 6(1), 183-202; doi:10.3390/f6010183

Variation in Wood Quality in White Spruce (Picea Glauca (Moench) Voss). Part I. Defining the Juvenile–Mature Wood Transition Based on Tracheid Length

1
Chaire de Recherche du Canada en Valorisation, Caractérisation et Transformation du Bois, Université du Québec en Abitibi-Témiscamingue, 445 boul. de l'Université, Rouyn-Noranda, Québec, QC J9X-5E4, Canada
2
Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, 1055 du PEPS, P.O. Box 10380, Stn Sainte Foy, Québec, QC G1V-4C7, Canada
3
Sciences du Bois et de la Forêt, Faculté de Foresterie, de Géographie et de Géomatique, Pavillon Gene-H. -Kruger, bureau 1376C, Université Laval, 2425 rue de la Terrasse, Québec, QC G1V-0A6, Canada
4
Centre d'étude de la Forêt, Université du Québec en Abitibi-Témiscamingue, 445 boul. de l'Université, Rouyn-Noranda, Québec, QC J9X-5E4, Canada
*
Author to whom correspondence should be addressed.
Academic Editors: Phillip G. Comeau and Bill Mason
Received: 8 November 2014 / Accepted: 19 December 2014 / Published: 8 January 2015
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Abstract

Estimations of transition age (TA) and juvenile wood proportion (JWP) are important for wood industries due to their impact on end-product quality. However, the relationships between analytical determination of TA based on tracheid length (TL) and recognized thresholds for adequate end products have not yet been established. In this study, we used three different statistical models to estimate TA in white spruce (Picea glauca (Moench) Voss) based on TL radial variation. We compared the results with technological maturity. A two-millimeter threshold, previously suggested for good paper tear strength, was used. Tracheid length increased from pith to bark and from breast height to upper height. Juvenile wood (JW) was conical with the three models. At breast height, TA ranged from 11 to 27 years and JWP ranged from 15.3% to 47.5% across the three models. The linear mixed model produced more conservative estimates than the maximum-quadratic-linear (M_Q_L) model. Both the linear mixed model and the M_Q_L model produced more conservative TA estimates than the piecewise model. TA estimates by the MIXED model, and to a lesser extent by the M_Q_L model, were equivalent to those for real mature wood, whereas TA estimates by the piecewise model were considerably lower, falling into the transition wood area. View Full-Text
Keywords: Transition age; tracheid length; nonlinear regression; linear regression; juvenile wood proportion; juvenile wood shape Transition age; tracheid length; nonlinear regression; linear regression; juvenile wood proportion; juvenile wood shape
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Mvolo, C.S.; Koubaa, A.; Beaulieu, J.; Cloutier, A.; Mazerolle, M.J. Variation in Wood Quality in White Spruce (Picea Glauca (Moench) Voss). Part I. Defining the Juvenile–Mature Wood Transition Based on Tracheid Length. Forests 2015, 6, 183-202.

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