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Phenotypic Correlation among Branch and Upper-Crown Stem Attributes in Douglas-Fir

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To provide a basis for developing objective branch-habit selection criteria for tree breeding, phenotypic correlations were made among several branch characteristics of 15- to 35-year-old Pseudotsuga menziesii (Mirb.) Franco var. menziesii. Correlation analyses indicate that: (1) branch angle is not significantly associated with any variable except average cross-sectional area of branch bases; (2) of trees of similar stem volume those with fewer branches tend to have larger diameter branches; (3) of trees of similar stem volume those with fewer branches tend to have longer branches; (4) trees with fast height growth tend to have shorter branches when compared with slower growing trees of similar volume; (5) of trees of similar stem volume those growing faster in height tend to have smaller diameter branches; (6) tree age is not significantly correlated with any branch or stem characteristic; (7) stem volume is correlated with all measured variables except branch angle; (8) except for the close relationship between branch length and average cross-sectional area of branches, branch characteristics are generally very slightly associated. Path coefficient analysis suggests that variations in the four branching characteristics are directly associated with approximately 62 percent of the variation in stem volume.

Document Type: Journal Article

Affiliations: Forest Geneticist, Weyerhaeuser Company Forestry Research Center, Centralia, Wash.

Publication date: December 1, 1963

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  • 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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