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Evaluating the Benefit of Defect Reduction in Hardwood Logs

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The benefit of reducing the number of surface defects in hardwood trees may be evaluated by use of a set of probability numbers. These numbers express the probability of the first 12-, 14-, or 16-foot log of a standing tree qualifying as factory log grade 1, 2, or 3 when different numbers of defects are present. These probabilities and value estimates can serve as guides to the selection of phenotypically superior trees and to the evaluation of gains expected from planting inherently improved trees. From the probability numbers, four generalizations are made: (1) the greatest gains in log quality and in monetary value can be made by reducing the number of defects in the butt log from 8 to 4; (2) trees that have 4 or less defects in the lower 16-foot log with a top diameter of 13 inches are superior phenotypes; (3) selection and breeding programs should strive to develop races of trees that inherently produce 4 or less defects in the first log; and (4), the greatest inherent improvement in log quality can be made by reducing the number of branch-caused defects outside the heart center.
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Document Type: Journal Article

Affiliations: Research Foresters, Central States Forest Expt. Sta., Forest Service, U.S. Dept. Agric.

Publication date: 1963-09-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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