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Genetic Parameter Estimates for Greenhouse Traits of Slash Pine Artificially Inoculated with Fusiform Rust Fungus

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Six-week-old greenhouse-grown seedlings of 100 open-pollinated slash pine families were artificially inoculated with fusiform rest fungus in three testing periods at the USDA Forest Service Resistance Screening Center. SIX months after inoculation, seedlings were scored for symptoms of rest infection. Genetic parameters (heritabilities, genetic correlations and family x test interactions) were estimated for 16 traits. Eleven traits appear highly promising for inclusion into a selection index to predict breeding values for rest resistance in the field. For these 11 traits, family x test interaction was not important, family heritabilities were high (>0.78), and differences among the four groups of families were minor for family variance, variance of family means, and heritability estimates. The other five traits had measurable amounts of family x test interaction and lower heritability estimates (<0.70). For. Sci. 37(3):836-848.

Keywords: Cronartium quercuum f. sp. fusiforme; Pinus elliottii var. elliottii; genetic correlation; genotype by environment interaction; heritability

Document Type: Journal Article

Affiliations: Research Scientist and Professor, Department of Forestry, University of Florida

Publication date: 1991-08-01

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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