Skip to main content

The Efficiency of Half-Sib, Half-Diallel and Circular Mating Designs in the Estimation of Genetic Parameters in Forestry: A Simulation

Buy Article:

$29.50 plus tax (Refund Policy)

A technique based on MIVQUE (minimum variance quadratic unbiased estimation) and the first approximation of the variance of a ratio was used to compare efficiency per unit observation in lowering the variance of estimation of three genetic ratios (single tree heritability, Type B correlation, and dominance-to-additive variance ratio). The efficiency comparisons were made over eight levels of genetic control for three mating designs (half-sib, half-diallel, and circular with four crosses per parent) with variable numbers of parents at two or five locations. The field design was held constant within a location as four randomized complete blocks with a six-tree row-plot per cross (full-sib designs) or per half-sib family (half-sib design). For heritability estimation the half-sib mating design is the most efficient over numbers of location and parents in seven of the eight levels of genetic control, and the circular design is more efficient over all levels examined than the half-diallel design. For estimation of Type B correlation the circular design is superior under five of the eight genetic control levels and superior for every case examined to the half-diallel design. In the remaining 3 Type B correlation estimation cases, the half-sib design is superior. For dominance-to-additive variance ratio estimation, the half-diallel design offers little, if any, advantages over the circular design. Optimal numbers of parents (highest efficiency) for a mating design exist only for the half-diallel design and optima are extant for all three genetic ratios. Optimal numbers of locations exist for all three mating designs and vary with mating design and level of genetic control. For. Sci. 38(4):757-776.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: MIVQUE; disconnected sets; genetic control; optima; precision

Document Type: Journal Article

Affiliations: Assistant Research Scientist, Department of Foresty, School of Forest Resources and Conservation, University of Florida

Publication date: 1992-11-01

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.

    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