Physical and Mechanical Properties of Poplar Clones and Rapid Prediction of the Properties by Near Infrared Spectroscopy

In order to understand the physical and mechanical properties of poplar clones, and explore a method for their quick evaluation, the air dry density, modulus of rupture (MOR), modulus of elasticity (MOE), and compressive strength parallel to grains of three new bred poplar clones were explored and t...

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Main Authors: Ru Jia, Yurong Wang, Rui Wang, Xu Chen
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Forests
Subjects:
MOR
MOE
Online Access:https://www.mdpi.com/1999-4907/12/2/206
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spelling doaj-d6ce28a3f0194a3cb6c84face63947ba2021-02-11T00:07:16ZengMDPI AGForests1999-49072021-02-011220620610.3390/f12020206Physical and Mechanical Properties of Poplar Clones and Rapid Prediction of the Properties by Near Infrared SpectroscopyRu Jia0Yurong Wang1Rui Wang2Xu Chen3Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, ChinaResearch Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, ChinaResearch Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, ChinaResearch Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, ChinaIn order to understand the physical and mechanical properties of poplar clones, and explore a method for their quick evaluation, the air dry density, modulus of rupture (MOR), modulus of elasticity (MOE), and compressive strength parallel to grains of three new bred poplar clones were explored and the prediction models with the highest accuracy were established by near infrared spectroscopy (NIR). Clone 50 (Populus deltoides CL. ‘55/65′) had the highest air dry density, MOR, MOE, and compressive strength parallel to grains in the three clones. For clone 50 and 108 (<i>Populus euramericana</i> cv. ‘Guariento’), the mechanical properties of sapwood were better than those of heartwood, and the sapwood of clone 50 also had a better air dry density than that of heartwood. There were significant positive correlations between the air dry density and mechanical properties, with correlation coefficients above 0.68. Prediction models with better effects could be obtained by using information on the cross section for the air dry density and mechanical properties. First derivative+ Savitzky–Golay (S-G) smoothing methods were employed for the air dry density and MOR, and multiple scattering correction (MSC)+ S-G smoothing methods were used when establishing prediction models of MOE and compressive strength parallel to grains.https://www.mdpi.com/1999-4907/12/2/206poplarclonedensityMORMOEcompressive strength
collection DOAJ
language English
format Article
sources DOAJ
author Ru Jia
Yurong Wang
Rui Wang
Xu Chen
spellingShingle Ru Jia
Yurong Wang
Rui Wang
Xu Chen
Physical and Mechanical Properties of Poplar Clones and Rapid Prediction of the Properties by Near Infrared Spectroscopy
Forests
poplar
clone
density
MOR
MOE
compressive strength
author_facet Ru Jia
Yurong Wang
Rui Wang
Xu Chen
author_sort Ru Jia
title Physical and Mechanical Properties of Poplar Clones and Rapid Prediction of the Properties by Near Infrared Spectroscopy
title_short Physical and Mechanical Properties of Poplar Clones and Rapid Prediction of the Properties by Near Infrared Spectroscopy
title_full Physical and Mechanical Properties of Poplar Clones and Rapid Prediction of the Properties by Near Infrared Spectroscopy
title_fullStr Physical and Mechanical Properties of Poplar Clones and Rapid Prediction of the Properties by Near Infrared Spectroscopy
title_full_unstemmed Physical and Mechanical Properties of Poplar Clones and Rapid Prediction of the Properties by Near Infrared Spectroscopy
title_sort physical and mechanical properties of poplar clones and rapid prediction of the properties by near infrared spectroscopy
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2021-02-01
description In order to understand the physical and mechanical properties of poplar clones, and explore a method for their quick evaluation, the air dry density, modulus of rupture (MOR), modulus of elasticity (MOE), and compressive strength parallel to grains of three new bred poplar clones were explored and the prediction models with the highest accuracy were established by near infrared spectroscopy (NIR). Clone 50 (Populus deltoides CL. ‘55/65′) had the highest air dry density, MOR, MOE, and compressive strength parallel to grains in the three clones. For clone 50 and 108 (<i>Populus euramericana</i> cv. ‘Guariento’), the mechanical properties of sapwood were better than those of heartwood, and the sapwood of clone 50 also had a better air dry density than that of heartwood. There were significant positive correlations between the air dry density and mechanical properties, with correlation coefficients above 0.68. Prediction models with better effects could be obtained by using information on the cross section for the air dry density and mechanical properties. First derivative+ Savitzky–Golay (S-G) smoothing methods were employed for the air dry density and MOR, and multiple scattering correction (MSC)+ S-G smoothing methods were used when establishing prediction models of MOE and compressive strength parallel to grains.
topic poplar
clone
density
MOR
MOE
compressive strength
url https://www.mdpi.com/1999-4907/12/2/206
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AT yurongwang physicalandmechanicalpropertiesofpoplarclonesandrapidpredictionofthepropertiesbynearinfraredspectroscopy
AT ruiwang physicalandmechanicalpropertiesofpoplarclonesandrapidpredictionofthepropertiesbynearinfraredspectroscopy
AT xuchen physicalandmechanicalpropertiesofpoplarclonesandrapidpredictionofthepropertiesbynearinfraredspectroscopy
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