Non-destructive estimation of Pinus taeda L tracheid morphological characteristics for samples from a wide range of sites in Georgia
Tracheid coarseness, specific surface, wall thickness, perimeter, and radial and tangential diameter from 119 radial strips of Pinus taeda L. (loblolly pine) trees grown on 14 sites in three physiographic regions of Georgia (USA) were measured by SilviScan. NIR spectra were also collected in 10 mm i...
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description | Tracheid coarseness, specific surface, wall thickness, perimeter, and radial and tangential diameter from 119 radial strips of Pinus taeda L. (loblolly pine) trees grown on 14 sites in three physiographic regions of Georgia (USA) were measured by SilviScan. NIR spectra were also collected in 10 mm increments from the radial longitudinal surface of each strip and split into calibration (9 sites, 729 spectra) and prediction sets (6 sites, 225 spectra). NIR spectra (untreated and mathematically treated first and second derivative and multiplicative scatter correction) were correlated with tracheid properties to develop calibrations for the estimation of these properties. Strong correlations were obtained for properties related to density, the strongest R ² being 0.80 (coarseness), 0.78 (specific surface) and 0.84 (wall thickness). When applied to the test set, good relationships were obtained for the density-related properties (R p ² ranged from 0.68 to 0.86), but the accuracy of predictions varied depending on math treatment. The addition of a small number of cores from the prediction set (one core per new site) to the calibration set improved the accuracy of predictions and, importantly, minimized the differences obtained with the various math treatments. These results suggest that density related properties can be estimated by NIR with sufficient accuracy to be used in operational settings. |
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(loblolly pine) trees grown on 14 sites in three physiographic regions of Georgia (USA) were measured by SilviScan. NIR spectra were also collected in 10 mm increments from the radial longitudinal surface of each strip and split into calibration (9 sites, 729 spectra) and prediction sets (6 sites, 225 spectra). NIR spectra (untreated and mathematically treated first and second derivative and multiplicative scatter correction) were correlated with tracheid properties to develop calibrations for the estimation of these properties. Strong correlations were obtained for properties related to density, the strongest R ² being 0.80 (coarseness), 0.78 (specific surface) and 0.84 (wall thickness). When applied to the test set, good relationships were obtained for the density-related properties (R p ² ranged from 0.68 to 0.86), but the accuracy of predictions varied depending on math treatment. The addition of a small number of cores from the prediction set (one core per new site) to the calibration set improved the accuracy of predictions and, importantly, minimized the differences obtained with the various math treatments. These results suggest that density related properties can be estimated by NIR with sufficient accuracy to be used in operational settings.</description><identifier>ISSN: 0043-7719</identifier><identifier>EISSN: 1432-5225</identifier><identifier>DOI: 10.1007/s00226-005-0021-1</identifier><identifier>CODEN: WOSTBE</identifier><language>eng</language><publisher>Berlin: Springer</publisher><subject>Accuracy ; anatomy and morphology ; Applied sciences ; Calibration ; Coarseness ; Density ; Evergreen trees ; Exact sciences and technology ; near-infrared spectroscopy ; nondestructive methods ; Pine trees ; Pinus taeda ; Polymer industry, paints, wood ; Properties (attributes) ; Properties and testing ; Specific surface ; Spectra ; tracheids ; Wall thickness ; Wood ; wood density ; wood properties ; Wood. Paper. Non wovens</subject><ispartof>Wood science and technology, 2005-10, Vol.39 (7), p.529-545, Article 529</ispartof><rights>2006 INIST-CNRS</rights><rights>Wood Science and Technology is a copyright of Springer, (2005). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c327t-90dbf06bdf14297a88a9c45eed97d2dc13bc0a7a601f990aa010aeaf062908823</citedby><cites>FETCH-LOGICAL-c327t-90dbf06bdf14297a88a9c45eed97d2dc13bc0a7a601f990aa010aeaf062908823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17244561$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Jones, P.D</creatorcontrib><creatorcontrib>Schimleck, L.R</creatorcontrib><creatorcontrib>Peter, G.F</creatorcontrib><creatorcontrib>Daniels, R.F</creatorcontrib><creatorcontrib>Clark, A III</creatorcontrib><title>Non-destructive estimation of Pinus taeda L tracheid morphological characteristics for samples from a wide range of sites in Georgia</title><title>Wood science and technology</title><description>Tracheid coarseness, specific surface, wall thickness, perimeter, and radial and tangential diameter from 119 radial strips of Pinus taeda L. (loblolly pine) trees grown on 14 sites in three physiographic regions of Georgia (USA) were measured by SilviScan. NIR spectra were also collected in 10 mm increments from the radial longitudinal surface of each strip and split into calibration (9 sites, 729 spectra) and prediction sets (6 sites, 225 spectra). NIR spectra (untreated and mathematically treated first and second derivative and multiplicative scatter correction) were correlated with tracheid properties to develop calibrations for the estimation of these properties. Strong correlations were obtained for properties related to density, the strongest R ² being 0.80 (coarseness), 0.78 (specific surface) and 0.84 (wall thickness). When applied to the test set, good relationships were obtained for the density-related properties (R p ² ranged from 0.68 to 0.86), but the accuracy of predictions varied depending on math treatment. The addition of a small number of cores from the prediction set (one core per new site) to the calibration set improved the accuracy of predictions and, importantly, minimized the differences obtained with the various math treatments. These results suggest that density related properties can be estimated by NIR with sufficient accuracy to be used in operational settings.</description><subject>Accuracy</subject><subject>anatomy and morphology</subject><subject>Applied sciences</subject><subject>Calibration</subject><subject>Coarseness</subject><subject>Density</subject><subject>Evergreen trees</subject><subject>Exact sciences and technology</subject><subject>near-infrared spectroscopy</subject><subject>nondestructive methods</subject><subject>Pine trees</subject><subject>Pinus taeda</subject><subject>Polymer industry, paints, wood</subject><subject>Properties (attributes)</subject><subject>Properties and testing</subject><subject>Specific surface</subject><subject>Spectra</subject><subject>tracheids</subject><subject>Wall thickness</subject><subject>Wood</subject><subject>wood density</subject><subject>wood properties</subject><subject>Wood. Paper. 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Paper. Non wovens</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones, P.D</creatorcontrib><creatorcontrib>Schimleck, L.R</creatorcontrib><creatorcontrib>Peter, G.F</creatorcontrib><creatorcontrib>Daniels, R.F</creatorcontrib><creatorcontrib>Clark, A III</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><jtitle>Wood science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones, P.D</au><au>Schimleck, L.R</au><au>Peter, G.F</au><au>Daniels, R.F</au><au>Clark, A III</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-destructive estimation of Pinus taeda L tracheid morphological characteristics for samples from a wide range of sites in Georgia</atitle><jtitle>Wood science and technology</jtitle><date>2005-10-01</date><risdate>2005</risdate><volume>39</volume><issue>7</issue><spage>529</spage><epage>545</epage><pages>529-545</pages><artnum>529</artnum><issn>0043-7719</issn><eissn>1432-5225</eissn><coden>WOSTBE</coden><abstract>Tracheid coarseness, specific surface, wall thickness, perimeter, and radial and tangential diameter from 119 radial strips of Pinus taeda L. (loblolly pine) trees grown on 14 sites in three physiographic regions of Georgia (USA) were measured by SilviScan. NIR spectra were also collected in 10 mm increments from the radial longitudinal surface of each strip and split into calibration (9 sites, 729 spectra) and prediction sets (6 sites, 225 spectra). NIR spectra (untreated and mathematically treated first and second derivative and multiplicative scatter correction) were correlated with tracheid properties to develop calibrations for the estimation of these properties. Strong correlations were obtained for properties related to density, the strongest R ² being 0.80 (coarseness), 0.78 (specific surface) and 0.84 (wall thickness). When applied to the test set, good relationships were obtained for the density-related properties (R p ² ranged from 0.68 to 0.86), but the accuracy of predictions varied depending on math treatment. The addition of a small number of cores from the prediction set (one core per new site) to the calibration set improved the accuracy of predictions and, importantly, minimized the differences obtained with the various math treatments. These results suggest that density related properties can be estimated by NIR with sufficient accuracy to be used in operational settings.</abstract><cop>Berlin</cop><pub>Springer</pub><doi>10.1007/s00226-005-0021-1</doi><tpages>17</tpages></addata></record> |
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subjects | Accuracy anatomy and morphology Applied sciences Calibration Coarseness Density Evergreen trees Exact sciences and technology near-infrared spectroscopy nondestructive methods Pine trees Pinus taeda Polymer industry, paints, wood Properties (attributes) Properties and testing Specific surface Spectra tracheids Wall thickness Wood wood density wood properties Wood. Paper. Non wovens |
title | Non-destructive estimation of Pinus taeda L tracheid morphological characteristics for samples from a wide range of sites in Georgia |
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