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    Description

    Multivariate regression models were developed to predict green board foot yields for the seven common factory lumber grades processed from white, black, and chestnut oak factory grade logs. These models use the standard log measurements of grade, scaling diameter, log length, and proportion of scaling defect. Any combination of lumber grades (such as 1 Common and Better) or total yield from a log can be predicted with these models. The coefficients presented here can be used in computer programs related to sawmill simulations, economic modeling, or log-yard inventory systems.

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Yaussy, Daniel A. 1986. Green lumber grade yields from factory grade logs of three oak species. Forest Products Journal. 36(5): 53-56.

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https://www.fs.usda.gov/treesearch/pubs/43816