Seeing the Wood in the Trees: Unleashing the Secrets of Wood via near Infrared Spectroscopy

Meder, Roger; Trung, Thanh; Schimleck, Laurie

doi:10.1255/jnirs.913

Cited by 18 publications

(16 citation statements)

References 1 publication

(1 reference statement)

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“…Utilizing milled increment cores to estimate whole-tree properties has been the most common approach. It has been demonstrated that spectra from milled breast height cores can provide good calibrations for estimating whole-tree properties [114,115] and this approach has been adopted by several forest industry companies to assess progeny in their breeding programs [116]. The first option is the most desirable; however, seasonal variation in pulp yield at the cambial surface (the surface from which a spectrum is collected with a portable spectrometer) has proved too variable to produce consistent calibration performance [117][118][119].…”

Section: Near Infrared (Nir) Spectroscopymentioning

confidence: 99%

“…NIR predicted wood properties based on spectra from milled increment cores have also been used for resource assessment. Arauco (Chile) have developed models for pulp yield, basic density, and specific consumption (wood required per unit of pulp) for at least 30,000 ha of their plantation estate [116] while Giroud et al [121] examined regional variation in density and MOE for several boreal species in Quebec, Canada.…”

Section: Near Infrared (Nir) Spectroscopymentioning

confidence: 99%

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Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation

Schimleck

Dahlen

Apiolaza

et al. 2019

Forests

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To maximize utilization of our forest resources, detailed knowledge of wood property variation and the impacts this has on end-product performance is required at multiple scales (within and among trees, regionally). As many wood properties are difficult and time-consuming to measure our knowledge regarding their variation is often inadequate as is our understanding of their responses to genetic and silvicultural manipulation. The emergence of many non-destructive evaluation (NDE) methodologies offers the potential to greatly enhance our understanding of the forest resource; however, it is critical to recognize that any technique has its limitations and it is important to select the appropriate technique for a given application. In this review, we will discuss the following technologies for assessing wood properties both in the field: acoustics, Pilodyn, Resistograph and Rigidimeter and the lab: computer tomography (CT) scanning, DiscBot, near infrared (NIR) spectroscopy, radial sample acoustics and SilviScan. We will discuss these techniques, explore their utilization, and list applications that best suit each methodology. As an end goal, NDE technologies will help researchers worldwide characterize wood properties, develop accurate models for prediction, and utilize field equipment that can validate the predictions. The continued advancement of NDE technologies will also allow researchers to better understand the impact on wood properties on product performance.

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Section: Near Infrared (Nir) Spectroscopymentioning

confidence: 99%

Section: Near Infrared (Nir) Spectroscopymentioning

confidence: 99%

Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation

Schimleck

Dahlen

Apiolaza

et al. 2019

Forests

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“…Usually, families and clones are ranked for a particular trait with an average value across multiple trees/ramets measured by a given indirect measurement method. Notably, near infrared reflectance spectroscopy (NIRS) models have been developed and successfully used to predict wood properties [69][70][71][72]. Despite the significant investments required for calibration of NIRS models, this technique is well-suited for ranking purposes and allows for the inclusion of wood quality traits in the selection criterion and provides the ability to estimate genetic parameters at the population level [73,74].…”

Section: Introductionmentioning

confidence: 99%

Wood and Pulping Properties Variation of Acacia crassicarpa A.Cunn. ex Benth. and Sampling Strategies for Accurate Phenotyping

Martins

Yuliarto²,

Antes³

et al. 2020

Forests

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Research Highlights: This study provides a comprehensive set of wood and pulping properties of Acacia crassicarpa A.Cunn. ex Benth. to assess variation and efficient sampling strategies for whole-tree level phenotyping. Background and Objectives: A. crassicarpa is an important tree species in Southeast Asia, with limited knowledge about its wood properties. The objective of this study was to characterize important wood properties and pulping performance of improved germplasm of the species. Furthermore, we investigated within-tree patterns of variation and evaluated the efficiency of phenotyping strategies. Materials and Methods: Second-generation progeny trials were studied, where forty 50-month-old trees were selected for destructive sampling and assessed for wood density, kraft pulp yield, α-cellulose, carbohydrate composition, and lignin content and composition (S/G ratio). We estimated the phenotypic correlations among traits determined within-tree longitudinal variation and its importance for whole-tree level phenotyping. Results: The mean whole-tree disc basic density was 481 kg/m3, and the screened kraft pulp yield was 53.8%. The reliabilities of each sampling position to predict whole-tree properties varied with different traits. For basic density, pulp yield, and glucose content, the ground-level sampling could reliably predict the whole-tree property. With near infrared reflectance spectroscopy predictions as an indirect measurement method for disc basic density, we verified reduced reliability values for breast height sampling but sufficiently correlated to allow accurate ranking and efficient selection of genotypes in a breeding program context. Conclusions: We demonstrated the quality of A. crassicarpa as a wood source for the pulping industry. The wood and pulping traits have high levels of phenotypic variation, and standing tree sampling strategies can be performed for both ranking and high-accuracy phenotyping purposes.

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“…and Populus balsamifera (L.) logs using a portable near-infrared spectrometer Guillaume Real-time characterization of wood properties is essential at different stages of the forest value chain to optimize the manufacturing process, reduce the production costs, and increase the competitiveness of the sector (Meder et al 2010, Trung and. Several studies have demonstrated that nearinfrared (NIR) spectroscopy enables rapid and nondestructive assessments of wood properties (see the reviews of Schimleck et al 2000, Tsuchikawa 2007.…”

mentioning

confidence: 99%

Determination of moisture content and basic specific gravity ofPopulus tremuloides(Michx.) andPopulus balsamifera(L.) logs using a portable near-infrared spectrometer

Hans

Leblon

Cooper

et al. 2014

Wood Material Science & Engineering

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Portable sensors are required for rapid and nondestructive measurements of wood properties in the field to ensure optimal use of the fiber. We tested a handheld near-infrared (NIR) spectrometer to estimate moisture content (MC) and basic specific gravity (BSG) of quaking aspen (Populus tremuloides Michx.) and balsam poplar (Populus balsamifera L.) frozen and thawed logs. Partial least square (PLS) regression general models were developed to estimate MC and BSG by considering the influence of the following factors: log conditions (frozen and thawed wood), species, and types of wood (sapwood and heartwood). In addition, the influence of MC was also considered when estimating BSG. Including the two types of wood in a general model improved MC prediction (R 2 p ¼ 0.83, RMSE p = 11.1%) while including the two species improved BSG prediction (R 2 p ¼ 0.57, RMSE p = 0.022). Similar accuracies were obtained for BSG prediction from green (R 2 p ¼ 0.35, RMSE p = 0.027) and oven-dried wood (R 2 p ¼ 0.43, RMSE p = 0.027). PLS discriminant analysis was applied successfully to NIR spectra to sort the wood according to their MC, BSG, species, and wood type with overall accuracies of 86%, 65%, 98%, and 79%, respectively.

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Seeing the Wood in the Trees: Unleashing the Secrets of Wood via near Infrared Spectroscopy

Cited by 18 publications

References 1 publication

Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation

Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation

Wood and Pulping Properties Variation of Acacia crassicarpa A.Cunn. ex Benth. and Sampling Strategies for Accurate Phenotyping

Determination of moisture content and basic specific gravity ofPopulus tremuloides(Michx.) andPopulus balsamifera(L.) logs using a portable near-infrared spectrometer

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