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Optimum Age For Family Selection for Growth in Genetic Tests of Loblolly Pine

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To increase the efficiency of the breeding and testing program of the North Carolina State University-Industry Cooperative Tree Improvement Program, an analysis of 18 first-generation genetic tests of loblolly pine (Pinus taeda L.) was conducted to guide the decision of when growth should be assessed in advanced generation genetic tests. The biologically optimum age (where gain per year was maximized) for selecting families from these tests ranged from 3 to 10 years of age. Under reasonable assumptions for age-age correlations and heritability changes over time, expected gain per year in the breeding program was the greatest for selection between 6 and 8 years. The higher present value of gains from younger selection ages would lower the optimum selection age to 4 years or earlier. For. Sci. 34(2):400-411.

Keywords: Genetic gain; Pinus taeda L; juvenile-mature correlations; tree improvement

Document Type: Journal Article

Affiliations: Geneticist and Assistant Professor, Cooperative Tree Improvement Program, Department of Forestry, Box 8002, North Carolina State University, Raleigh, NC 27695-8002

Publication date: 1988-06-01

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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 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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