Skip to main content

Genetic Parameters and Gains Expected from Selection for Dry Weight in Eucalyptus globulus ssp. globulus in Portugal

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

Genetic and phenotypic parameters of growth and wood density were calculated for two open-pollinated progeny trials of Tasmanian Blue Gum (Eucalyptus globulus ssp. globulus) in Portugal. These parameters are used to develop selection indices and predict genetic responses for different strategies. Mean individual heritabilities (averaged across the two trials) of height and wood density were high (h² = 0.34 ± 0.10 and 0.65 ± 0.12, respectively) and those of sectional area and dry weight were intermediate (h² = 0.18 ± 0.06 and 0.21 ± 0.11). Mean genetic correlations (across trials) were strongly positive (0.94 ± 0.05 to 0.99 ± 0.03) between dry weight and height or sectional area, and moderate (0.17 ± 0.20) between dry weight and wood density. Sectional area and height were slightly negatively correlated (-0.08 ± 0.25 to -0.09 ± 0.17) with density. Selection indices constructed to maximize genetic gain in dry weight gave results which clearly favored indirect selection on height. A genetic gain of around 47% in dry weight may be expected from second-generation selection of 1 tree in 200 for E. globulus in Portugal. Marginal deterioration can occur in wood density unless family means for either dry weight or density are included in the index with height. A strong response in wood density from index selection requires a substantial sacrifice of gains in dry weight. For. Sci. 38(1):80-94.

Keywords: Heritability; index selection; wood density

Document Type: Journal Article

Affiliations: Lecturer in Plant Sciences, Oxford Forest Institute, South Parks Road, Oxford OX1 3RB, United Kingdom

Publication date: February 1, 1992

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
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Partial Open Access Content
Partial Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more