Genetic Improvement of Sawn-Board Stiffness and Strength in Scots Pine (<i>Pinus sylvestris</i> L.)
Given an overall aim of improving Scots pine structural wood quality by selective tree breeding, we investigated the potential of non-destructive acoustic sensing tools to accurately predict wood stiffness (modulus of elasticity, MOE) and strength (modulus of rupture, MOR) of sawn boards. Non-destru...
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MDPI AG
2020-02-01
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author | Irena Fundova Henrik R. Hallingbäck Gunnar Jansson Harry X. Wu |
author_facet | Irena Fundova Henrik R. Hallingbäck Gunnar Jansson Harry X. Wu |
author_sort | Irena Fundova |
collection | DOAJ |
description | Given an overall aim of improving Scots pine structural wood quality by selective tree breeding, we investigated the potential of non-destructive acoustic sensing tools to accurately predict wood stiffness (modulus of elasticity, MOE) and strength (modulus of rupture, MOR) of sawn boards. Non-destructive measurements of wood density (DEN), acoustic velocity (VEL) and MOE were carried out at different stages of wood processing chain (standing trees, felled logs and sawn boards), whilst destructively measured stiffness and strength served as benchmark traits. All acoustic based MOE and VEL estimates proved to be good proxies (<i>r</i><sub>A</sub> > 0.65) for sawn-board stiffness while MOE<sub>TREE</sub>, VEL<sub>HIT</sub> and resistograph wood density (DEN<sub>RES</sub>) measured on standing trees and MOE<sub>LOG</sub> and VEL<sub>FAK</sub> measured on felled logs well reflected board strength. Individual-tree narrow-sense heritability (<inline-formula> <math display="inline"> <semantics> <mrow> <msubsup> <mi>h</mi> <mi>i</mi> <mn>2</mn> </msubsup> </mrow> </semantics> </math> </inline-formula>) for VEL, MOE and MOR were weak (0.05−0.26) but were substantially stronger for wood density (0.34−0.40). Moreover, additive genetic coefficients of variation for MOE and MOR were in the range from 5.4% to 9.1%, offering potential targets for exploitation by selective breeding. Consequently, selective breeding based on MOE<sub>TREE</sub>, DEN<sub>RES</sub> or stem straightness (STR) could improve several structural wood traits simultaneously. |
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spelling | doaj.art-39b5b078a383465abcbc694b9afd3ea82022-12-22T03:59:34ZengMDPI AGSensors1424-82202020-02-01204112910.3390/s20041129s20041129Genetic Improvement of Sawn-Board Stiffness and Strength in Scots Pine (<i>Pinus sylvestris</i> L.)Irena Fundova0Henrik R. Hallingbäck1Gunnar Jansson2Harry X. Wu3Umeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, 90183 Umeå, SwedenUmeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, 90183 Umeå, SwedenSkogforsk (Forestry Research Institute of Sweden), 75183 Uppsala, SwedenUmeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, 90183 Umeå, SwedenGiven an overall aim of improving Scots pine structural wood quality by selective tree breeding, we investigated the potential of non-destructive acoustic sensing tools to accurately predict wood stiffness (modulus of elasticity, MOE) and strength (modulus of rupture, MOR) of sawn boards. Non-destructive measurements of wood density (DEN), acoustic velocity (VEL) and MOE were carried out at different stages of wood processing chain (standing trees, felled logs and sawn boards), whilst destructively measured stiffness and strength served as benchmark traits. All acoustic based MOE and VEL estimates proved to be good proxies (<i>r</i><sub>A</sub> > 0.65) for sawn-board stiffness while MOE<sub>TREE</sub>, VEL<sub>HIT</sub> and resistograph wood density (DEN<sub>RES</sub>) measured on standing trees and MOE<sub>LOG</sub> and VEL<sub>FAK</sub> measured on felled logs well reflected board strength. Individual-tree narrow-sense heritability (<inline-formula> <math display="inline"> <semantics> <mrow> <msubsup> <mi>h</mi> <mi>i</mi> <mn>2</mn> </msubsup> </mrow> </semantics> </math> </inline-formula>) for VEL, MOE and MOR were weak (0.05−0.26) but were substantially stronger for wood density (0.34−0.40). Moreover, additive genetic coefficients of variation for MOE and MOR were in the range from 5.4% to 9.1%, offering potential targets for exploitation by selective breeding. Consequently, selective breeding based on MOE<sub>TREE</sub>, DEN<sub>RES</sub> or stem straightness (STR) could improve several structural wood traits simultaneously.https://www.mdpi.com/1424-8220/20/4/1129structural timbernon-destructive testingwood qualitymodulus of elasticitymodulus of ruptureacoustic velocityheritabilitygenetic correlationtree breedinggenetic improvement |
spellingShingle | Irena Fundova Henrik R. Hallingbäck Gunnar Jansson Harry X. Wu Genetic Improvement of Sawn-Board Stiffness and Strength in Scots Pine (<i>Pinus sylvestris</i> L.) Sensors structural timber non-destructive testing wood quality modulus of elasticity modulus of rupture acoustic velocity heritability genetic correlation tree breeding genetic improvement |
title | Genetic Improvement of Sawn-Board Stiffness and Strength in Scots Pine (<i>Pinus sylvestris</i> L.) |
title_full | Genetic Improvement of Sawn-Board Stiffness and Strength in Scots Pine (<i>Pinus sylvestris</i> L.) |
title_fullStr | Genetic Improvement of Sawn-Board Stiffness and Strength in Scots Pine (<i>Pinus sylvestris</i> L.) |
title_full_unstemmed | Genetic Improvement of Sawn-Board Stiffness and Strength in Scots Pine (<i>Pinus sylvestris</i> L.) |
title_short | Genetic Improvement of Sawn-Board Stiffness and Strength in Scots Pine (<i>Pinus sylvestris</i> L.) |
title_sort | genetic improvement of sawn board stiffness and strength in scots pine i pinus sylvestris i l |
topic | structural timber non-destructive testing wood quality modulus of elasticity modulus of rupture acoustic velocity heritability genetic correlation tree breeding genetic improvement |
url | https://www.mdpi.com/1424-8220/20/4/1129 |
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