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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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 |
work_keys_str_mv |
AT rujia physicalandmechanicalpropertiesofpoplarclonesandrapidpredictionofthepropertiesbynearinfraredspectroscopy AT yurongwang physicalandmechanicalpropertiesofpoplarclonesandrapidpredictionofthepropertiesbynearinfraredspectroscopy AT ruiwang physicalandmechanicalpropertiesofpoplarclonesandrapidpredictionofthepropertiesbynearinfraredspectroscopy AT xuchen physicalandmechanicalpropertiesofpoplarclonesandrapidpredictionofthepropertiesbynearinfraredspectroscopy |
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