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The National Agricultural Library is one of four national libraries of the United States, with locations in Beltsville, Maryland and Washington, D.C. It houses one of the world's largest and most accessible agricultural information collections and serves as the nexus for a national network of state land-grant and U.S. Department of Agriculture field libraries. In fiscal year 2011 (Oct 2010 through Sept 2011) NAL delivered more than 100 million direct customer service transactions.

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Journal Article

Journal Article

Modelling jack pine lumber value recovery in relation to tree characteristics using Optitek simulation  [2006]

Tong, Q.J.; Zhang, S.Y.;

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This study intended to link tree characteristics to lumber value yield in jack pine. A sample of 154 jack pine trees was measured and scanned, and then sawing was simulated using Optitek with optimized lumber value recovery (LVR) under two sawmill layouts. Simulation results suggest that LVR and total product value recovery (TPVR) increased with diameter at breast height (DBH), and the dimension mill yielded an average of 30 percent more lumber value from an individual tree than did the stud mill. Twelve models of various forms and variable combinations were selected to describe the LVR and TPVR in relation to tree characteristics. Stem volume was found to be the best predictor of LVR and TPVR produced from jack pine for both dimension and stud mills. The second-order polynomial model forms involving either DBH only or both DBH and tree height were able to explain over 95 percent of the total variance in the product value, while the power, exponential, and reciprocal forms did not exhibit statistical adequacy. Model validation using actual LVR data from a real stud mill indicated that three model forms, including two polynomial models involving either DBH exclusively or both DBH and tree height and the two-segmented simple linear model of stem volume, were able to accurately predict jack pine LVR using basic tree measurements or their derived forms from forest inventory data.
From the journal
Forest products journal
ISSN : 0015-7473

Bibliographic information

Language:
English
Type:
Journal Article
In AGRIS since:
2013
Volume:
56
Issue:
1
Start Page:
66
End Page:
72
All titles:
"Modelling jack pine lumber value recovery in relation to tree characteristics using Optitek simulation"@eng
Other:
"Includes references"
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Bibliographic information

Language:
English
Type:
Journal Article
In AGRIS since:
2013
Volume:
56
Issue:
1
Start Page:
66
End Page:
72
All titles:
"Modelling jack pine lumber value recovery in relation to tree characteristics using Optitek simulation"@eng
Other:
"Includes references"