Classification Model to Predict Fraser Fir Christmas Tree Grade
Abstract:Objective measures of Christmas tree grade that would better quantify tree responses to cultural treatments were sought. Fraser fir Christmas tree attributes in a 3-year-old plantation were measured and correlated with conventional three-class grade categories, and a discriminate classification model was developed to test the predictability of grade based on tree attributes. Tree attributes best correlated with grade were basal diameter, terminal leader length and total bud and lateral bud frequencies on the terminal leader. Grade prediction based on five easily measured growth attributes produced a discriminate classification success rate of 72%. For. Sci. 36(1):45-53.
Document Type: Journal Article
Affiliations: Professor of Silviculture and Forest Soils, Virginia Polytechnic Institute and State University, Blacksburg, VA
Publication date: 1990-03-01
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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.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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