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Effect of Natural Inbreeding on Variance Structure in Tests of Wind-Pollination Douglas-Fir Progenies

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Studies of the mating habits of Douglas-fir (Pseudotsuga menziesii [Mirb.] Franco) have shown that wind-pollination families contain a small proportion of very slow-growing natural inbreds. The effect of these very small trees on means, variances, and variance ratios was evaluated for height and diameter in a 16-year-old plantation by systematically deleting from analyses the shortest individuals in wind-pollination (W) and diallel (D) progenies of six parent trees. The progenies were growing together in a common field test. The D population served as a control (no inbreds). The low-vigor trees in the W population type gave a downward bias to means and an upward bias to within-plot and family x block variance estimates. Amount of bias differed among W families. Before deletion, estimates of additive genetic variance and heritability for height in the W test were about one-third and one-sixth the estimates from the D test. Deleting the shortest 5 to 8% of the trees from the W population did not remove all the discrepancy, but it did result in much closer agreement between W and D tests. For the D test alone, deletion of the smallest trees had a negligible effect on estimates of additive genetic variance and heritability. For. Sci 34(1):102-118.

Keywords: Diallel mating; genetic variance; heritability; population structure

Document Type: Journal Article

Affiliations: Associate Professor, Department of Forestry, University of Florida, Gainesville, Florida 32603

Publication date: 1988-03-01

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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