Effects of variable selection and processing of NIR and ATR-IR spectra on prediction of extractives content in Eucalyptus bosistoana heartwood

Type of content
Journal Article
Thesis discipline
Degree name
Publisher
Journal Title
Journal ISSN
Volume Title
Language
Date
2019
Authors
Li Y
Altaner CM
Abstract

The use of quick attenuated total reflectance infrared (ATR-IR) spectroscopy and near infrared (NIR) spectroscopy to predict extractives content (EC) in heartwood of E. bosistoana with partial least squares regression (PLSR) models was studied. Different spectra pre-processing methods and variable selection were tested for calibration optimisation. While variable selection substantially improved the NIR-PLSR models, only small effects were observed for spectra pre-processing methods and ATR-IR-PLSR models. Both of the NIR-PLSR and ATR-IR-PLSR models yielded reliably EC results with high R2 and low root mean square error (RMSE). NIR based models performed better (RMSE 0.9%) than ATR-IR based models (RMSE 1.6%). Analysis showed that the models were based on IR signals assigned to chemical structures known from eucalyptus heartwood extracts. Combined with PLSR and variable selection, both, ATR-IR and the NIR spectroscopy, can be used to quickly predict EC in E. bosistoana, a measure needed in tree breeding and the quality control of for durable timber.

Description
Citation
Keywords
natural durability, Spectra pre-processing, Standard normal variate (SNV), Partial least squares regression (PLSR), Variable selection (sMC)
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Fields of Research::30 - Agricultural, veterinary and food sciences::3007 - Forestry sciences::300708 - Forestry product quality assessment
Fields of Research::30 - Agricultural, veterinary and food sciences::3007 - Forestry sciences::300709 - Tree improvement (incl. selection and breeding)
Rights