Investigation of wood properties that influence the final moisture content of air-dried sugi (Cryptomeria japonica) using principal component regression analysis
2012
Watanabe, K. (Forestry and Forest Products Research Institute, Tsukuba, Ibaraki (Japan)) | Kobayashi, I. | Kuroda, N.
Sugi (Cryptomeria japonica D. Don) lumber is known to have a large variability in final moisture content (MCsub(f)) and is difficult to dry. This study investigated the variability in MCsub(f) of sugi in relation to wood properties. The wood property variables included initial moisture content (MCsub(i)), basic density (BD), annual ring orientation (ARO), annual ring width (ARW), heartwood ratio (HR) and CIE L* color (L*). Sugi samples were cut from flat-sawn lumbers and air-dried; a principal component regression (PCR) model for predicting MCsub(f) was developed with the wood property variables. The wood properties that contributed to the prediction of MCsub(f) were evaluated by PCR analysis. Significant positive regression coefficients of the PCR model were observed in the MCsub(i), BD, ARO and HR, whereas negative ones in the L*. There were no significant regression coefficients in the ARW. These results suggest that the MCsub(i), BD, ARO and HR had a positive influence, the L* had a negative influence, and the ARW had little influence on the MCsub(f) of air-dried sugi wood. This finding is in line with the general view on the drying characteristics in relation to these wood properties.
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