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Correlation Studies of Slash Pine Tracheid Length

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Lengths of tracheids were measured on 3 increment cores at b.h. from each of 271 selected Pinus elliottii trees located in 15 geographic areas. Two random determinations were made on macerated summerwood portions from the combined 19th, 20th and 21st rings from the pith on each core. There were significant differences between cores within trees and between trees within geographic areas but no significant difference between geographic areas. Stepwise regression for each determination within each core with tracheid length as the dependent variable and 9 independent variables of site, growth and wood quality resulted in 6 similar prediction equations. For all 6 determinations, the only significant regression coefficients were for growth rate, specific gravity and site quality in that order. (Multiple correlation range: r = 0.33 to 0.44). A total stepwise regression of the means for each tree gave similar results. (Multiple correlation coefficient: r = 0.45). Various partial and simple correlations among the variables were discussed. Use of a tracheid length selection differential and knowledge of heritability obtained from other sources provides implications for tree breeding. Care must be used in selecting breeding trees with long tracheids because of its negative relationship with growth rate and specific gravity. A detailed procedure for the preparation of semi-permanent agar mounted tracheid slides is presented.

Document Type: Journal Article

Affiliations: Associate Professor, School of Forestry, University of Florida, Gainesville

Publication date: 1966-03-01

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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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