Breeding selection; Chemometric modeling; Cross sectional area; Density variations; Generic platforms; Good correlations; Optimal performance; Quantitative mapping; Forestry; Materials Science (all); Plant Science; Industrial and Manufacturing Engineering
Abstract :
[en] Sustainable use is essential to guarantee future availability of wood. Structural and chemical mapping can contribute to fit-for-purpose usage, as accurate and detailed knowledge of the material enables guided utilization and optimal performance of wood. The platform presented in this paper, illustrated on poplar disks for early selection, collects data in the NIR, visual and X-ray spectrum in maximum 30 min per wood disk. Flatbed scanning proves to be a cheap and fast technique to evaluate basic physical properties such as cross-sectional area and wood density. X-ray CT scanning is used for density mapping adding information on density variation between and within disks. Chemometric modeling of infrared spectra is used to map density, tension wood and lignin content. X-ray- and NIR-based density mapping showed good correlation, although NIR-based maps do not show the same level of detail as X-ray images do due to lower resolution. Results of NIR-based hyperspectral mapping illustrate that tension wood zones were denser and contained less lignin which corresponds with the existence of the G-layer described in the literature. In all, the combination of high-end tools together with simple tools such as flatbed scanning allows for high-throughput and high-resolution quantitative mapping of some of the main properties of poplar wood. Furthermore, infrared scanning can be used to map density, tension wood and chemistry without the need for more complex, expensive and/or time-consuming methods, yet with less accuracy and lower resolution, thus being applicable as single tool for breeding selection.
Defoirdt, Nele ; Woodlab-UGent, Department of Forest and Water Management, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium ; UGCT, University Ghent Centre for X-ray Tomography, Ghent, Belgium
Sen, Ali; Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal
Dhaene, Jelle; UGCT, University Ghent Centre for X-ray Tomography, Ghent, Belgium ; Department of Physics and Astronomy, Institute for Nuclear Sciences, Ghent University, Ghent, Belgium
De Mil, Tom ; Université de Liège - ULiège > TERRA Research Centre > Gestion des ressources forestières ; Woodlab-UGent, Department of Forest and Water Management, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium ; UGCT, University Ghent Centre for X-ray Tomography, Ghent, Belgium
Pereira, Helena; Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal
Van Acker, Joris; Woodlab-UGent, Department of Forest and Water Management, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium ; UGCT, University Ghent Centre for X-ray Tomography, Ghent, Belgium
Van den Bulcke, Jan; Woodlab-UGent, Department of Forest and Water Management, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium ; UGCT, University Ghent Centre for X-ray Tomography, Ghent, Belgium
Language :
English
Title :
A generic platform for hyperspectral mapping of wood
EU - European Union FCT - Fundação para a Ciência e a Tecnologia
Funding text :
The authors gratefully acknowledge the support of the European Commission through the 7th Framework program for funding of the projects NovelTree (FP7-KBBE-211868\u2014\u201CNovel tree breeding strategies\u201D) and Trees4Future (FP7-INFRA-284181\u2014\u201CDesigning trees for the future\u201D). The methodology was further explored within another European research project performed in support of the LIFE European Projects SILEX \u201CImproving sustainability of construction materials using innovative silicon-based treatment,\u201D with project number LIFE11 ENV/BE/1046. We thank Ana Alves, Rita Fabiana Silva Sim\u00F5es and Jos\u00E9 Carlos Rodrigues for the analytical pyrolysis performed at the Centro de Estudos Florestais, Universidade de Lisboa. The authors furthermore acknowledge the financial support and the samples from their short rotation plantations of The Research Institute for Nature and Forest (INBO), more in particular Linda Meiresonne, Marijke Steenackers and Wim De Clercq. We thank former colleague Dries Vansteenkiste and master student Hans Van Lommel for their participation in the initial development of the NIR and X-ray methodology and Stijn Willen and Rik De Rycke for the technical support. Funding from Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia (Portugal) is acknowledged for a postdoc scholarship to Umut Sen and base funding to CEF (UID/AGR 00239/2013).
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