Rapid prediction of shrinkage and fibre saturation point on teak (Tectona grandis) wood based on near-infrared spectroscopy

Abstract

To cite this version:Adzo-Dzifa Kokutse, Loïc Brancheriau, Gilles Chaix. Rapid prediction of shrinkage and fibre saturation point on teak (Tectona grandis) wood based on near-infrared spectroscopy. Annals of Forest Science, Springer Verlag/EDP Sciences, 2010, 67 (4), <10.1051/forest/2009123>. <hal-00883570>Ann. For. Sci. 67 (2010) Abstract• Dimensional stability, along with the natural durability and colour of the wood, is one of the most important characteristics of teak used as timber. However, it is very time-consuming to take measurements of this kind. For the purposes of selection for the production of improved varieties, the number of samples to be measured rapidly exceeds the capacity of a traditional laboratory.• Near-infrared spectroscopy, based on a set of reference data, is a tool enabling many of the chemical properties of wood to be predicted and the number of laboratory measurements to be reduced exponentially. The issue here is a question of checking the effectiveness of NIRS tool to build models and predict the shrinkage and fibre saturation point of teak wood from Togo.• The results show the possible use of NIRS to measure the dimensional stability of teak wood and that it is appropriate to choose the type of wood and type of surface to be measured by NIRS. The best prediction models for radial and tangential shrinkage and fibre saturation point give R 2 values of 0.72, 0.83 and 0.87 respectively with ratios of performance deviation of 1.8, 2.4 and 2.8.• Consequently, after verification on other sets of teak samples, which may or may not be included in the prediction model, NIRS can be used to predict shrinkage and fibre saturation point values accurately for a large number of samples, making it possible to include these characteristics in the selection criteria for classifying wood and high throughput phenotyping. Mots-clés :retrait / point de saturation des fibres / teck / SPIR Résumé -Prédiction rapide du retrait et du point de saturation des fibres pour le bois de teck (Tectona grandis) par spectroscopie proche infrarouge.• La stabilité dimensionnelle avec la durabilité naturelle et la couleur du bois, est l'une des plus importantes caractéristiques pour le teck utilisé en bois d'oeuvre. Néanmoins, les mesures de ce caractère sont longues et coûteuses en temps. Pour les besoins de la sélection pour la production de variétés améliorées, le nombre d'échantillons à mesurer devient vite supérieur aux capacités d'un laboratoire traditionnel.

Physical and mechanical wood properties of 14 timber species from Northeast Mexico

“…Wood density is one of the most important wood characteristics, and it is used as an indicator of wood quality (Freyburger et al 2009). Determination of some physical and mechanical properties is very time-consuming (Kokutse et al 2010). The relationships of BD with MOE and MOR are shown in Figure 1.…”

Applicability of Vis-NIR hyperspectral imaging for monitoring wood moisture content (MC)

“…For example, the chemical composition of wood from cellulose, lignin, and hemicelluloses can be estimated by NIRS (Tsuchikawa et al 2003 ;Ven ä l ä inen et al 2006 ;Lestander et al 2008 ;Fujimoto et al 2010 ;Kokutse et al 2010 ;Pastore et al 2011 ;Schwanninger et al 2011 ). In NIR spectra, several strong absorption bands are assigned to water, including those at 960 nm (OH stretching third overtone), 1450 nm (OH stretching first overtone), and 1940 nm (OH stretching combination) (Choppin and Violante 1972 ;Tsuchikawa et al 2005 ;Andersson et al 2006 ;Karttunen et al 2008 ;Schwanninger et al 2011 ).…”

Selection of Plus Trees for Genetically Improved Teak Varieties Produced in Benin and Togo

“…In this study, some intrinsic quality of wood specimens, especially the basic density and wood color, were directly determined through conventional standardized tests. Other features such as the natural durability, MOE and sorption properties were determined by indirect method using the prediction models developed for teak samples from Togo by using Near Infrared Spectrometry (Tondjo et al, 2014;Kokutse et al, 2010;Chaix et al, 2008Chaix et al, , 2010. Nevertheless, these authors pointed out that the accuracy of the developed models is slightly lower compared to reference measurement.…”