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Estimates of Additive, Dominance and Epistatic Genetic Variances from a Clonally Replicated Test of Loblolly Pine

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Abstract:



Nine full-sib families were generated using a factorial mating design consisting of three female and three male loblolly pine (Pinus taeda L.) parents. Full-sib seedlings and clones of the same families were planted in two test sites in Alabama and Florida. Additive, dominance, and epistatic genetic variances were estimated for growth traits and for fusiform rust incidence for ages 1 through 6. Epistatic variances did not have a significant role in growth traits, but additive gene actions were the major source of genetic variance in loblolly pine. Dominance variance for height, diameter, and volume was negligible at early ages, but it was considerable at age 6, particularly for volume. Fusiform rust incidence appeared to be partially under additive and epistatic gene actions and genetic differences among the clones within families accounted for 48.6% of the total variance. Within-plot variance for clones was always smaller than that within-plot variance for seedlings of the same full-sib families. Clonally replicated progeny tests may provide special advantages for loblolly pine tree improvement programs, as they would substantially increase the efficiency of testing by reducing the microenvironmental variance and better estimation of genetic parameters. This may provide greater genetic gains, particularly for fusiform rust incidence. Potential effects of the small parental size and violations of the assumptions of the genetic model are discussed. Negative additive and nonadditive genetic correlations between the growth traits and fusiform rust incidence are encouraging for rapid and simultaneous improvement of the traits during the same cycle selection. FOR. SCI. 49(1):77–88.

Keywords: Pinus taeda; additive; dominance and epistatic gene actions; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; nonadditive genetic correlations

Document Type: Miscellaneous

Affiliations: 1: North Carolina State University College of Natural Resources, Campus Box 8002 Raleigh, NC, 27695, Phone: (919) 515-5029; Fax: (919) 515-3169 fisik@unity.ncsu.edu 2: College of Natural Resource, North Carolina State University, Campus Box 8002 Raleigh, NC, 27695, bailian_li@ncsu.edu 3: College of Natural Resources, North Carolina State University, Campus Box 8002 Raleigh, NC, 27695, john_frampton@ncsu.edu

Publication date: 2003-02-01

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

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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