Modeling knot features using branch scars from Mongolian oak (Quercus mongolica).

Area of Science:

• Forestry
• Wood Science
• Timber Quality Assessment

Background:

• Wood quality is crucial for modern sawmills.
• Internal wood characteristics are often correlated with external appearances.
• Accurate assessment of internal features like knots is vital for timber value.

Purpose of the Study:

• To develop linear regression models for predicting internal knot size in Mongolian oak (Quercus mongolica) from surface features.
• To establish correlations between internal knot parameters and external scar characteristics.
• To enhance the practical production of oak timber and minimize commercial losses.

Main Methods:

• Collected data from 53 Mongolian oak trees.
• Utilized manual measurements and X-ray computed tomography scanning for 1,297 knots.
• Analyzed correlations between internal knot dimensions and external scar dimensions.

Main Results:

• Mongolian oak knots are predominantly found in the middle stem sections.
• Significant correlations (P < 0.01) exist between knot size and external scar size.
• Developed predictive models achieved over 95% accuracy on independent test samples.

Conclusions:

• External scar features serve as effective indicators for predicting internal knot value in oak logs.
• The developed models can improve oak timber production efficiency.
• Findings provide a theoretical basis for understanding hardwood knot characteristics and their impact on wood quality.