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Phenotype Selection and Half-Sib Family Performance in Black Cherry

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Forty-two open-pollinated families from good, average, and poor parent phenotypes originating from natural black cherry stands in Pennsylvania and West Virginia were measured at age 3 in a nursery and then at age 12 in a plantation. Phenotype selection of parents was ineffective in predicting family performance for height, stem diameter, and form. While mean heights of progeny from good parents exceeded those from average and poor parents, the differences were statistically significant only in the case of the poor phenotype class from West Virginia. Tree dimensions in nursery and field differed significantly between origins and among families within origins. Nursery performance may be used as an indicator of subsequent field performance to reduce the size of progeny test plantings but at the risk of losing some desirable genotypes. Greater genetic gains may be achieved by broader sampling of natural stands rather than reliance solely upon the selection of superior trees. Forest Sci. 28:251-256.

Keywords: Prunus serotina; geographic source

Document Type: Journal Article

Affiliations: Research Geneticist, USDA Southern Forest Experiment Station, Forestry Sciences Laboratory, Starkville, Mississippi 39759

Publication date: June 1, 1982

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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