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ORIGINAL ARTICLE

Predicting knot properties of Picea abies and Pinus sylvestris from generic tree descriptors

Pages 49-62 | Published online: 18 Feb 2007

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Read on this site (4)

Gert Andersson, Patrik Flisberg, Maria Nordström, Mikael Rönnqvist & Lars Wilhelmsson. (2016) A model approach to include wood properties in log sorting and transportation planning. INFOR: Information Systems and Operational Research 54:3, pages 282-303.
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Magnus Fredriksson. (2012) Reconstruction of Pinus Sylvestris knots using measurable log features in the Swedish Pine Stem Bank. Scandinavian Journal of Forest Research 27:5, pages 481-491.
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Arne Steffenrem, Frode Lindland & Tore Skr⊘ppa. (2008) Genetic and environmental variation of internodal and whorl branch formation in a progeny trial of Picea abies . Scandinavian Journal of Forest Research 23:4, pages 290-298.
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Terje Gobakken, NilsL. Lexer⊘d & Tron Eid. (2008) T: A forest simulator for bioeconomic analyses based on models for individual trees. Scandinavian Journal of Forest Research 23:3, pages 250-265.
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Articles from other publishers (13)

N. Fagerberg, S. Seifert, T. Seifert, P. Lohmander, A. Alissandrakis, B. Magnusson, J. Bergh, S. Adamopoulos & M.K.-F. Bader. (2023) Prediction of knot size in uneven-sized Norway spruce stands in Sweden. Forest Ecology and Management 544, pages 121206.
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Haotian GuoWeiwei JiaDandan LiYuman Sun. (2022) Modeling knot geometry from scanned images of Korean pine plantations. Canadian Journal of Forest Research 52:5, pages 845-859.
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Airu Ji, Julie Cool & Isabelle Duchesne. (2021) Using X-ray CT Scanned Reconstructed Logs to Predict Knot Characteristics and Tree Value. Forests 12:6, pages 720.
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Nicu Marcu, Marius Budeanu, Ecaterina Nicoleta Apostol & Raul Gheorghe Radu. (2020) Valuation of the Economic Benefits from Using Genetically Improved Forest Reproductive Materials in Afforestation. Forests 11:4, pages 382.
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Rubén MansoJ. Paul McLeanAdam AshAlexis Achim. (2020) Estimation of individual knot volumes by mixed-effects modelling. Canadian Journal of Forest Research 50:2, pages 81-88.
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Jiri Pyörälä, Ninni Saarinen, Ville Kankare, Nicholas C. Coops, Xinlian Liang, Yunsheng Wang, Markus Holopainen, Juha Hyyppä & Mikko Vastaranta. (2019) Variability of wood properties using airborne and terrestrial laser scanning. Remote Sensing of Environment 235, pages 111474.
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Marius Budeanu, Ecaterina Nicoleta Apostol, Flaviu Popescu, Dragoş Postolache & Lucia Ioniţă. (2019) Testing of the narrow crowned Norway spruce ideotype (Picea abies f. pendula) and the hybrids with normal crown form (pyramidalis) in multisite comparative trials. Science of The Total Environment 689, pages 980-990.
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Ecaterina Apostol & Marius Budeanu. (2019) Adaptability of Narrow-Crowned Norway Spruce Ideotype (Picea abies (L.) Karst. pendula Form) in 25 Years Half-Sib Comparative Trials in the Eastern Carpathians. Forests 10:5, pages 395.
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Nathaniel L. OsborneDouglas A. Maguire. (2016) Modeling knot geometry from branch angles in Douglas-fir ( Pseudotsuga menziesii ) . Canadian Journal of Forest Research 46:2, pages 215-224.
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Magnus Fredriksson. (2015) Optimizing sawing of boards for furniture production using CT log scanning. Journal of Wood Science 61:5, pages 474-480.
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Harold E. Burkhart & Margarida ToméHarold E. Burkhart & Margarida Tomé. 2012. Modeling Forest Trees and Stands. Modeling Forest Trees and Stands 405 427 .
Qiang WeiBrigitte LeblonArmand La Rocque. (2011) On the use of X-ray computed tomography for determining wood properties: a review 1 This article is a contribution to the series The Role of Sensors in the New Forest Products Industry and Bioeconomy. . Canadian Journal of Forest Research 41:11, pages 2120-2140.
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Glen E. MurphyMauricio A. Acuna. (2011) Ranking of four contributions to error in stand-level Douglas-fir log supply and value recovery estimation. Canadian Journal of Forest Research 41:10, pages 2040-2050.
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