Time Trends in Genetic Parameters for Height and Optimal Age for Parental Selection in Scots Pine
Source: Forest Science, Volume 49, Number 5, October 2003 , pp. 696-705(10)
Publisher: Society of American Foresters
Data used to estimate time trends in genetic parameters and the optimal age for parental selection were obtained from 13 Scots pine (Pinus sylvestris L.) progeny tests in southern Sweden. The final age at measurement was between 24 and 39 yr, corresponding to approximately half the rotation age in southern Sweden. Trees in each test have been measured for height 4–6 times, covering ages from 5 to 39 yr. Individual tree heritability for height averaged 0.16, and increased slightly over time, although there were differences among tests. The average additive coefficient of variation for height (CVA ), which decreased with age, was 6.0% while the average nonadditive coefficient of variation (CVD ) was 3.8% and did not show any significant trend over time. A model based on the natural logarithm of the ratio between the two ages at measurement was used to predict genetic age-age correlations. The efficiency of early selection was also examined, in an analysis considering total height at age 30 as the target trait. The optimal age for parental selection based on gain per unit time peaked at 11 yr, with a time lag for breeding of 10 yr. In the southern tests, the peak came some years earlier than in the northern tests. Selection efficiency based on present value with an interest rate of 5% showed the optimum at 11 yr. FOR. SCI. 49(5):696–705.
Keywords: Age-age correlations; Pinus sylvestris L.; breeding strategy; early selection; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; selection efficiency
Document Type: Miscellaneous
Affiliations: 1: Senior Researcher Skogforsk (The Forestry Research Institute of Sweden), Uppsala Science Park, Uppsala, Sweden, SE-751 83, Phone: +46 (0)18 18 85 00; Fax: +46 (0)18 18 86 00 firstname.lastname@example.org 2: Associate Professor Department of Forestry, North Carolina State University, P.O. Box 8002 Raleigh, NC, USA, 27695-8002, Phone: +1 (919)-515-3168 email@example.com 3: Forest Geneticist Skogforsk (The Forestry Research Institute of Sweden), Uppsala Science Park, Uppsala, Sweden, SE-751 83, Phone: +46 (0)18 18 85 00 firstname.lastname@example.org
Publication date: October 2003
- 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.
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