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The potential for the genetic improvement of sawn timber traits in Picea abies
Skogforsk.
SLU.
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology.
Linnaeus University, Faculty of Technology, Department of Building and Energy Technology.ORCID iD: 0000-0001-5319-4855
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2014 (English)In: Canadian Journal of Forest Research, ISSN 0045-5067, E-ISSN 1208-6037, Vol. 44, no 4, p. 273-280Article in journal (Refereed) Published
Abstract [en]

This study evaluated the potential for the selective genetic improvement of the structural quality traits important in sawn Norway spruce (Picea abies (L.) Karst.) timber based on early and nondestructively assessed field traits. From a 34-year-old Norway spruce trial situated in southern Sweden, 401 butt logs were sampled and sawn to produce two 50 × 100 mm boards that were dried to an 18% moisture content. Structural quality traits were assessed, and genetic parameters were estimated, including additive genetic variance, heritability, and their genetic correlations with field traits. Board twisting, density, and modulus of elasticity (MOE, stiffness) were found to have appreciable heritabilities (0.23–0.44). Board twist was found to have a strong genetic correlation with grain angle measured under bark in the field (0.93), and both board MOE and density exhibited strong genetic correlations with field-assessed pilodyn penetration (–0.75 and –0.91, respectively). Although these observations were made on a thinning material comprising mainly juvenile wood, they nonetheless suggest grain angle and pilodyn penetration to be promising candidates as selection criteria for Norway spruce breeding. Heritabilities of other sawn timber traits were lower and the genetic correlations between these traits and field traits were also lower, variable, and had large estimation errors.

Place, publisher, year, edition, pages
NRC Research Press, 2014. Vol. 44, no 4, p. 273-280
Keywords [en]
correlated response, field measurements, Norway spruce, sawmill study, structural quality traits, quantitative genetics
National Category
Forest Science
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
URN: urn:nbn:se:lnu:diva-32419DOI: 10.1139/cjfr-2013-0382ISI: 000333453100001Scopus ID: 2-s2.0-84897836787OAI: oai:DiVA.org:lnu-32419DiVA, id: diva2:698094
Available from: 2014-02-20 Created: 2014-02-20 Last updated: 2017-12-06Bibliographically approved

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Säll, HaraldJohansson, Marie

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Department of Forestry and Wood TechnologyDepartment of Building and Energy Technology
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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