An efficient method to reduce grain angle influence on NIR spectra for predicting extractives content from heartwood stem cores of Toona. sinensis

BACKGROUND: A fast, reliable and non-destructive method is needed to qualify the extractives content (EC) in heartwood of T. sinensis cores in the breeding program for studying the genetic effect on EC. However, the influence of grain angle on near infrared (NIR) spectra prediction model for EC is u...

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Autores principales: Li, Yanjie, Dong, Xin, Sun, Yang, Liu, Jun, Jiang, Jingmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268301/
https://www.ncbi.nlm.nih.gov/pubmed/32514285
http://dx.doi.org/10.1186/s13007-020-00623-3
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author Li, Yanjie
Dong, Xin
Sun, Yang
Liu, Jun
Jiang, Jingmin
author_facet Li, Yanjie
Dong, Xin
Sun, Yang
Liu, Jun
Jiang, Jingmin
author_sort Li, Yanjie
collection PubMed
description BACKGROUND: A fast, reliable and non-destructive method is needed to qualify the extractives content (EC) in heartwood of T. sinensis cores in the breeding program for studying the genetic effect on EC. However, the influence of grain angle on near infrared (NIR) spectra prediction model for EC is unclear. In this study, NIR spectra were collected from both cross section and radial section of wood core samples in order to predict the EC in heartwood. RESULTS: The effect of grain angle on calibration EC model was studied. Several different spectra pre-processing methods were implemented for calibration. It was found that standard normal variation (SNV) followed by 1st derivative yielded the best calibration result for T. sinensis EC. Grain angle had a significant influence on the predicted model for EC when using the whole NIR spectra. However, after testing a certain point of the prior variables for EC that were selected by the significant multivariate correlation (sMC), the influence of grain angle was significantly eliminated. CONCLUSIONS: It is suggested that NIR spectroscopy is a promising method to predict EC in the solid wood without effecting grain angle.
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spelling pubmed-72683012020-06-07 An efficient method to reduce grain angle influence on NIR spectra for predicting extractives content from heartwood stem cores of Toona. sinensis Li, Yanjie Dong, Xin Sun, Yang Liu, Jun Jiang, Jingmin Plant Methods Research BACKGROUND: A fast, reliable and non-destructive method is needed to qualify the extractives content (EC) in heartwood of T. sinensis cores in the breeding program for studying the genetic effect on EC. However, the influence of grain angle on near infrared (NIR) spectra prediction model for EC is unclear. In this study, NIR spectra were collected from both cross section and radial section of wood core samples in order to predict the EC in heartwood. RESULTS: The effect of grain angle on calibration EC model was studied. Several different spectra pre-processing methods were implemented for calibration. It was found that standard normal variation (SNV) followed by 1st derivative yielded the best calibration result for T. sinensis EC. Grain angle had a significant influence on the predicted model for EC when using the whole NIR spectra. However, after testing a certain point of the prior variables for EC that were selected by the significant multivariate correlation (sMC), the influence of grain angle was significantly eliminated. CONCLUSIONS: It is suggested that NIR spectroscopy is a promising method to predict EC in the solid wood without effecting grain angle. BioMed Central 2020-06-01 /pmc/articles/PMC7268301/ /pubmed/32514285 http://dx.doi.org/10.1186/s13007-020-00623-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Yanjie
Dong, Xin
Sun, Yang
Liu, Jun
Jiang, Jingmin
An efficient method to reduce grain angle influence on NIR spectra for predicting extractives content from heartwood stem cores of Toona. sinensis
title An efficient method to reduce grain angle influence on NIR spectra for predicting extractives content from heartwood stem cores of Toona. sinensis
title_full An efficient method to reduce grain angle influence on NIR spectra for predicting extractives content from heartwood stem cores of Toona. sinensis
title_fullStr An efficient method to reduce grain angle influence on NIR spectra for predicting extractives content from heartwood stem cores of Toona. sinensis
title_full_unstemmed An efficient method to reduce grain angle influence on NIR spectra for predicting extractives content from heartwood stem cores of Toona. sinensis
title_short An efficient method to reduce grain angle influence on NIR spectra for predicting extractives content from heartwood stem cores of Toona. sinensis
title_sort efficient method to reduce grain angle influence on nir spectra for predicting extractives content from heartwood stem cores of toona. sinensis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268301/
https://www.ncbi.nlm.nih.gov/pubmed/32514285
http://dx.doi.org/10.1186/s13007-020-00623-3
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