Skip to main content

Genetic Structure and Mating System of Northern Red Oak (Quercus rubra L.) in Pennsylvania

Buy Article:

$21.50 plus tax (Refund Policy)

Horizontal starch gel electrophoresis was used to estimate isozyme allele frequencies at 13 enzyme loci for each of 1048 northern red oak embryos representing 8 populations in Pennsylvania. The average expected heterozygosity over all loci and populations, HT;, was 0.233. Red oak populations were in Hardy Weinberg equilibrium (FIS = -0.008) and very weakly differentiated (GST = 0.009). In two populations the maximum likelihood multilocus estimates of outcrossing were 1.002 and 1.015. Neither estimate was significantly different from complete outcrossing (t = 1.0). Although 28 of 32 single-tree outcrossing estimates were not significantly different from t = 1.0, an analysis of singletree outcrossing rates indicated significant tree-to-tree variation in both stands. Only 2 of 24 heterogeneity G-tests were significant, indicating that pollen pool allele frequencies showed little spatial variability and/or outcrossing was independent of maternal genotype. These results suggest that (i) family clustering is weak in red oak populations, and (ii) most members of open-pollinated families are half-sibs probably derived from a large number of pollen parents. Thus, results of open-pollination progeny tests are likely to reflect real differences in mean breeding values of most families. In addition, estimates of additive genetic variances and heritabilities are not likely to be biased sharply upwards by an increased genetic correlation among family members. Furthermore, acorns derived from seed production areas are likely to be outcrossed and contain a high level of genetic variation. For. Sci. 37(5):1376-1389.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Isozyme; electrophoresis; tree improvement

Document Type: Journal Article

Affiliations: Professor of Forest Genetics, School of Forest Resources, Pennsylvania State University, University Park, PA 16802

Publication date: 1991-11-01

More about this publication?
  • Important Notice: SAF's journals are now published through partnership with the Oxford University Press. Access to archived material will be available here on the Ingenta website until March 31, 2018. For new material, please access the journals via OUP's website. Note that access via Ingenta will be permanently discontinued after March 31, 2018. Members requiring support to access SAF's journals via OUP's site should contact SAF's membership department for assistance.

    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.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed 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