Efficiency of preprocessing methods for discrimination of anatomically similar pine species by NIR spectroscopy

Near-infrared (NIR) spectroscopy provides a rapid alternative to traditional methods of wood property assessment. For organizations who assess wood properties on a large scale, multisite, multispecies calibrations are of practical interest. We examined NIR spectroscopy for the estimation of density (at 12% moisture content), modulus of elasticity (MOE), and modulus of rupture (MOR) using clear wood samples obtained from several pine species (Pinus caribaeavar. bahamensis, var.hondurensis, and var. caribaea, P.chiapensis,P.maximinoi,P.oocarpa,P.taeda, andP.tecunumanii). We compared different methodologies for collecting spectra, that is, benchtop instrument versus benchtop fiber-optic probe and field portable fiber-optic probe, and different wood surfaces (radial and transverse). Calibrations based on the benchtop instrument were superior to those obtained using the fiber-optic probe systems. Difficulty with adequately representing the sample when collecting spectra using a fiber-optic probe and lower quality spectra explain the differences among the data sets. Spectra collected from radial and transverse surfaces provided similar calibration statistics. The calibrations obtained for density (R2 = 0.81, SECV = 38.5 kg/m3) and MOE (R2 = 0.81, SECV = 1124 GPa) using benchtop instrument spectra demonstrate that it is possible to obtain general calibrations for estimating the wood properties of a number of tropical, subtropical, and temperate pine species.

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Multivariate Discriminant Analysis of Single Seed Near Infrared Spectra for Sorting Dead-Filled and Viable Seeds of Three Pine Species: Does One Model Fit All Species?

Forests ◽

10.3390/f10060469 ◽

2019 ◽

Vol 10 (6) ◽

pp. 469 ◽

Cited By ~ 8

Author(s):

Mulualem Tigabu ◽

Abolfazl Daneshvar ◽

Ren Jingjing ◽

Pengfei Wu ◽

Xiangqing Ma ◽

...

Keyword(s):

Discriminant Analysis ◽

Near Infrared ◽

Nir Spectroscopy ◽

Individual Species ◽

Calibration Model ◽

Single Seed ◽

Global Calibration ◽

Viable Seeds ◽

Filled Seeds ◽

Pine Species

Seed lots of pine species are composed of viable, dead-filled and empty seeds, and the success of complete sorting of dead-filled seeds using the conventional method (Incubation, Drying and Separation in water) is difficult to achieve; leaving a considerable scope for upgrading the sorting efficiency. The objective of this study was to evaluate the prospect of sorting viable and dead-filled seeds of pine species using Near Infrared (NIR) spectroscopy. To demonstrate this, dead-filled and viable seeds of Mason’s pine, slash pine and loblolly pine were incubated in moist medium for three days, dried for six hours and scanned by XDS Rapid Content Analyzer from 780–2500 nm. Orthogonal Projection to Latent Structure-Discriminant Analysis was used to develop discriminant models for each species separately and for all species combined. The results showed that the sensitivity (the model’s ability to correctly classify members of a given class) and the specificity (the model’s ability to reject non-members of a given class) were 100% for each species model and 98%–99% for combined species model. The overall classification accuracy was 100% and 99% for individual species and combined species models, respectively. The absorption band in the 1870–1950 nm with a major peak at 1930 nm, which is related to water, was responsible for discrimination as dead-filled seeds dried quicker than viable seeds during the drying process. Our study is the first attempt to simultaneously discriminate dead-filled and viable seeds of pines by NIR spectroscopy. The results demonstrates that a global calibration model of seed lots of several pine species can be equally effective as the individual species model to discriminate viable and dead-filled seeds by NIR spectroscopy, thereby ensuring precision sowing (also known as single seed sowing) in nurseries.

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Quantification of polyphenols in powdered Actaea racemosa (black cohosh) rhizomes by NIR spectroscopy

Planta Medica ◽

10.1055/s-0036-1597047 ◽

2016 ◽

Vol 81 (S 01) ◽

pp. S1-S381

Author(s):

M Bittner ◽

A Kraehmer ◽

MF Melzig

Keyword(s):

Nir Spectroscopy ◽

Black Cohosh ◽

Actaea Racemosa

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NIR spectroscopy in simulation – a new way for augmenting near-infrared phytoanalysis

10.1055/s-0039-3399764 ◽

2019 ◽

Author(s):

KB Bec ◽

J Grabska ◽

CW Huck

Keyword(s):

Near Infrared ◽

Nir Spectroscopy

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Red Heart Disease in Pines Caused by Porodaedalea (Phellinus) pini in Florida

EDIS ◽

10.32473/edis-fr425-2019 ◽

2020 ◽

Vol 2020 (1) ◽

pp. 3

Author(s):

Yin-Tse Huang ◽

Jeffrey Eickwort ◽

Jiri Hulcr

Keyword(s):

Heart Disease ◽

Forest Resources ◽

Fact Sheet ◽

Cavity Nesting ◽

Pine Species

All pine species in Florida are susceptible to red heart disease. The disease can decrease timber value and weaken trees, making them threats to people and property. In forests, however, the same disease can be beneficial to cavity-nesting animals like red-cockaded woodpeckers. This 3-page fact sheet written by Yin-Tse Huang, Jeffrey Eickwort, and Jiri Hulcr and published by the UF/IFAS School of Forest Resources and Conservation describes the disease and provides some tips to manage it in areas where it could cause problems for people.http://edis.ifas.ufl.edu/fr425

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