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Selecting Populations in Tree Breeding: An Alternative to Multiple Comparisons

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This paper explains the indifference zone and subset selection methods of selecting populations. We recommend them as preferable to pairwise multiple comparisons for selecting the best genetic material in tree breeding, especially when a large number of groups with small differences must be tested. Subset selection permits the data to determine the number of groups designated as including the best genetic material with preassigned probability. Numerical examples of selection procedures are given. For. Sci. 35(2):425-436.
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Keywords: Selection methods; pairwise multiple comparisons; subset selection

Document Type: Journal Article

Affiliations: Professor, Department of Management Science and Statistics, College of Commerce and Business Administration, P. O. Box J, Tuscaloosa, Alabama 35487

Publication date: 1989-06-01

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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