Skip to page content
USDA Forest Service
  
Treesearch

Research & Development Treesearch

 
Treesearch Home
About Treesearch
Contact Us
Research & Development
Forest Products Lab
International Institute of Tropical Forestry
Northern
Pacific Northwest
Pacific Southwest
Rocky Mountain
Southern Research Station
Help
 

Science.gov - We Participate


USA.gov  Government Made Easy


Global Forest Information Service

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

You are here: Home / Search / Publication Information
Bookmark and Share

Publication Information

View PDF (2.28 MB bytes)

Title: Prediction of wood mechanical and chemical properties in the presence and absence of blue stain using two near infrared instruments

Author: Via, Brian K.; So, Chi-Leung; Shupe, Todd F.; Eckhardt, Lori G.; Stine, Michael; Groom, Leslie H.;

Date: 2005

Source: Journal of Near Infrared Spectroscopy, Vol. 13:201-212

Publication Series: Miscellaneous Publication

Description: The objective of this research was to (a) determine if blue stain in solid wood influenced calibration equations developed from a nonstained wood population, (b) assess the bias introduced when scanning was performed by the slave instrument without calibration transfer from the master instrument and (c) partition absorbance-based variation by instrument, stain and instrument x stain interaction. The results helped to determine the calibration transfer needed for this case. The dependent variables assessed from clear and stained wood were lignin, extractives, modulus of elasticity (MOE), modulus of rupture (MOR) and density When the master instrument was used for both calibration and prediction, it was found that stain-insensitive equations for the five traits could be built. However, when a slave near infrared instrument was introduced without calibration transfer, three out of five predicted traits were significantly biased by the presence of stain. Further analysis revealed an interaction between stain and instrument indicating that instrument bias was also introduced during scanning with a slave. For both multiple linear regression (MLR) and principal components regression (PCR), it was found that if a trait needed more wavelengths (or principal components) for prediction of the dependent variable, bias due to blue stain became increasingly prominent. PCR was found to perform better than MLR when stain was introduced with no calibration transfer. Such a finding alludes that PCR works better than MLR under extrapolation conditions but is not intended to support a lack of calibration transfer. Finally, the Mallows Cp diagnostic proved valuable in model selection although the well-known requirement of (Cp-p<0) appeared conservative. For MLR and PCR, a Cp-p<5 often yielded applicable models while Cp-p >7 was about the threshold where model performance dropped.

Keywords: lignin, extractives, density, modulus, NIR, blue stain, Leptographium, Ophiostoma, Mallows, Cp

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
  • You may send email to pubrequest@fs.fed.us to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)

XML: View XML

Citation:


Via, Brian K.; So, Chi-Leung; Shupe, Todd F.; Eckhardt, Lori G.; Stine, Michael; Groom, Leslie H. 2005. Prediction of wood mechanical and chemical properties in the presence and absence of blue stain using two near infrared instruments. Journal of Near Infrared Spectroscopy, Vol. 13:201-212

 


 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.