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Selection Efficiency in a Nonselected Population of Loblolly Pine

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Estimated selection-age efficiencies (present values of estimated correlated response) for family and within-family selection, based on both the additive and total genetic component for tree height of loblolly pine (Pinus taeda L.) at age 26, are reported for a study established near Bainbridge, Georgia, during 1963, 1964, and 1965. When correlated response was discounted at the rate of 8% per year, optimum selection ages for full-sib families, based on total genetic and on additive components alone, were 7 and 10 yr, respectively. Optimum selection ages were 6 and 7 yr for simultaneous selection of family and within-family for full-sib and half-sib families respectively, when based on the total genetic component. The optimum selection age for family plus within-family selection based on the additive component alone was 10 yr for both full-sib and half-sib families. Where production systems capture all, or part, of the nonadditive genetic variation, selection can be made 3 to 4 yr earlier than where systems capitalize only on additive genetic variance. Mass-controlled or supplemental pollination, "bulking-up" full-sib families by means of vegetative propagation, and vegetatively propagating selected individual genotypes, promise both greater genetic gains and earlier realization of those gains. For. Sci. 40(3):452-473.
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Keywords: Pinus taeda; correlated responses; selection age; tree improvement

Document Type: Journal Article

Affiliations: Project Leader, Tree Improvement International Paper Company, Southlands Exp. Forest, Bainbridge, GA

Publication date: 1994-08-01

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  • 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.
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    June 1, 2016 to Feb. 28, 2017

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