Estimation of Microfibril Angle and Stiffness by near infrared Spectroscopy using sample sets having Limited wood Density Variation

Schimleck, Laurence R.; Evans, Robert; Jones, Paul D.; Daniels, Richard F.; Peter, Gary F.; Clark, Alexander

doi:10.1163/22941932-90000109

Cited by 33 publications

(34 citation statements)

References 11 publications

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“…Initially NIR focused on properties related to pulping (e.g. Raymond and Schimleck, 2002;Raymond et al, 2001); however, its use has been extended to any other trait that could have a chemical basis; for example wood stiffness and MFA (Schimleck et al, 2005). NIR can also be used to estimate a more general chemical composition (Schimleck et al, 2005), including galactan content, which is related to longitudinal shrinkage (Floyd and Stanish, 2004) and, finally, to dimensional stability of the wood.…”

Section: Phenotypic Informationmentioning

confidence: 99%

Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants

Apiolaza

2009

Ann. For. Sci.

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Abstract• This article reviews the theoretical basis for indirect selection -where early selection is an example -and how correlated response is calculated.• The review is followed by a description of issues as to the choice of selection criteria that could explain the lack of substantial progress on breeding for wood quality. These include: the autoregressive nature of selection criteria, overemphasizing the importance of basic density as selection criterion, ignoring age-related trends of wood properties, using rotation age rather than technical thresholds as objective traits and ignoring that not all grades have identical marginal economic value.• Three data sets are either analyzed for the first time or reanalyzed under different assumptions, to explore the importance of these criticisms.• Finally, the use of critical value thresholds as very early selection criteria is suggested and discussed in the context of improving intrinsic corewood quality. Mots-clés :rigidité / sélection précoce / caractère seuil / Pinus radiata Résumé -Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants.• Cet article passe en revue les bases théoriques des méthodes de sélection indirecte -parmi lesquelles figure la sélection précoce -et la manière dont le gain corrélé est calculé.• Cette revue est suivie d'une description des problèmes liés au choix des critères de sélection et qui pourraient expliquer le manque de progrès substantiel suite à l'amélioration pour les propriétés du bois. Ceux-ci incluent l'auto-corrélation des critères de sélection, l'exagération de l'importance de la densité comme critère de sélection, l'oubli de l'évolution des propriétés du bois avec l'âge cambial, l'utilisation de l'âge de révolution comme caractère-cible plutôt que des seuils techniques et l'oubli que toutes les classes de produits n'ont pas la même valeur économique marginale.• Trois jeux de données ont été soit analysés pour la première fois soit ré-analysés sous différentes hypothèses pour explorer l'importance de ces critiques.• Enfin, l'utilisation de seuils critiques comme critères de sélection très précoce est suggérée et discutée dans le cadre de l'amélioration intrinsèque de la qualité du bois juvénile.

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Section: Phenotypic Informationmentioning

confidence: 99%

Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants

Apiolaza

2009

Ann. For. Sci.

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“…More recent NIR studies of wood are focusing on mechanical properties (Hoffmeyer and Pedersen 1995;Thumm and Meder 2001;Schimleck et al 2005;Fujimoto et al 2008), anatomical characteristics (Schimleck and Evans 2004;Alves et al 2007), physical (Codgill et al 2004;Mora et al 2008;Taylor et al 2008;Hein et al 2009), and chemical properties (Zahri et al 2008;Tyson et al 2009). NIR spectroscopy can also be applied to wood based composites (Campos et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood

2010

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Many studies have successfully applied near infrared (NIR) spectroscopy to estimate important wood traits. Some of them have reported the effects of wood surfaces on NIR spectra information and their influence on the performance of the predictive model. However, limited information is available concerning the effect of sample preparation on the model performance to estimate chemical properties in Eucalyptus wood. Hence, the aim of this study was to investigate the influence of the milling procedure, particle size, and quality of the solid wood surface on the performance of the partial least squares regression to predict chemical properties of Eucalyptus urophylla wood by NIR spectroscopy. Adequate models were built to predict klason lignin content, acid-soluble lignin content, and syringyl-to-guaiacyl ratio in Eucalyptus urophylla wood. Sample preparation strongly influences the ratio of performance to deviation (RPD) of these predictive models. The effect of the sample presentation (solid or milled wood) was stronger than the effect of the particle size difference between thin and thick powder. The best calibrations were developed using NIR spectra measured on wood powder (RDP values from 1.99 to 2.97), but satisfactory calibrations were developed from NIR spectra measured on solid samples (RPD values from 1.68 to 2.16).

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“…This indicates that E L(SS) calibration based on NIR spectra obtained from a set of representative cores could provide excellent predictions of E L(SS) , and the predictions were better than those reported in and Schimleck & Evans (2002b). Schimleck et al (2005b) investigated the possibility of obtaining predictive calibrations for E L(SS) using diffuse reflectance NIR spectra collected in 10 mm sections from the radial longitudinal face of wooden strips where the density range is small and the relationships between E L(SS) and density are poor. The authors concluded that strong calibrations for E L(SS) could be obtained when density variation is limited, and when there are no relationships between density and E L(SS) .…”

Section: Modulus Of Elasticity (Moe) and Nir Applicationmentioning

confidence: 74%

“…Schimleck et al (2005b) investigated the importance of density variation by developing calibrations for MfA using two pine species (P. radiata and P. taeda) samples sets where the density range was small and the relationship between density and MfA was poor. The calibrations for MfA were obtained, especially when sets had densities larger than 500 kg/m 3 .…”

Section: Modulus Of Elasticity (Moe) and Nir Applicationmentioning

confidence: 99%

“…The calibrations for MfA were obtained, especially when sets had densities larger than 500 kg/m 3 . This indicated that the relationship between NIR spectroscopy and MfA can be strong despite density variation being limited (Schimleck et al 2005b). The extensive application of NIR spectroscopy calibration for estimating the MfA of P. taeda wood samples was developed further by the excellent work of Schimleck et al (2007) and Jones et al (2007).…”

Section: Modulus Of Elasticity (Moe) and Nir Applicationmentioning

confidence: 99%

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NIR for combined selection in hardwoods for both growth and wood properties

Tran¹

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of a thesis submitted to The University of Queensland for the degree of Doctor of Philosophy Near infrared (NIR) spectroscopy provides an inexpensive and rapid alternative to traditional laboratory methods for estimation of wood properties. Its advantages are well-known as an appropriate approach for tree improvement programs where assessment of a large number of trees is usually required and elite individual trees need to be retained for use as future parents. Hence, tree breeders are beginning to realise the potential of this technology for the selection of species, taxa, provenances, families and individual trees with superior wood quality.Forest products are consumed worldwide for multiple purposes to support daily living. Many of these products are sourced from planted forests. In north-eastern Australia large areas of hardwood plantations have been established in the last 15 years; however, due to poor tree species selection, significant areas have failed. Research to support hardwood plantation development in north eastern Australia included the establishment of taxa trials across multiple sites in Queensland and northern New South Wales. Previous work involving this trial network focused primarily on the growth and survival of the various taxa and species included, and identified a number of promising species, including Corymbia citriodora subsp. variegata (CCV) and Eucalyptus pellita. In this thesis, the initial focus was to evaluate the most promising hardwood taxa across a subset of well-replicated and linked trials, to identify the taxa most suitable for solid wood and pulpwood production across the diverse environments of north-eastern Australia. The second focus was to assess open-pollinated families within different provenances (or seed sources) in two key studied species (CCV and E. pellita) to investigate the genetic control of key wood properties, and relationships among wood and growth traits. Here near infrared spectroscopy was used to rapidly and cost effectively assess the wood properties of these taxa across multiple trial sites and methods developed to deal with unbalanced representation of taxa/species across and within trials. This thesis aims to address the following research questions: hierarchical clustering to facilitate grouping of trials into classes based on similarity in the performance of individual taxa; and, principal component analysis to analyse the pattern of performance across sites. Finally, a deterministic simulation was constructed to demonstrate the impact of different weightings for each trait on predicted genetic gains in both CCV and E. pellita.After the initial introduction chapter, the second chapter of the thesis provides information on the productivity and wood properties of examined species/taxa, thence a more robust basis for taxa selection across geographical locations in north-eastern Australia during the first 10 years of age can be better understood. The third and fourth chapters investigate a range of genetic parameterestimates based on open-pol...

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Estimation of Microfibril Angle and Stiffness by near infrared Spectroscopy using sample sets having Limited wood Density Variation

Cited by 33 publications

References 11 publications

Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants

Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants

Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood

NIR for combined selection in hardwoods for both growth and wood properties

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