{"id":1182,"date":"2015-01-31T13:10:30","date_gmt":"2015-01-31T12:10:30","guid":{"rendered":"http:\/\/ist.blogs.inra.fr\/afs\/?p=1182"},"modified":"2015-01-31T13:35:55","modified_gmt":"2015-01-31T12:35:55","slug":"estimating-solid-wood-properties-using-pilodyn-and-acoustic-velocity-on-standing-trees-of-norway-spruce","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2015\/01\/31\/estimating-solid-wood-properties-using-pilodyn-and-acoustic-velocity-on-standing-trees-of-norway-spruce\/","title":{"rendered":"Estimating solid wood properties using Pilodyn and acoustic velocity on standing trees of Norway spruce"},"content":{"rendered":"<script type='text\/javascript' src='https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js'><\/script><p class=\"a-plus-plus\" style=\"text-align: justify\"><strong class=\"a-plus-plus\">Strong genetic correlations were observed between Pilodyn measurement and wood density, and between acoustic velocity and MFA. Combination of Pilodyn penetration and acoustic velocity measurements from standing trees can provide reliable prediction of stiffness of Norway spruce for breeding selection.<\/strong><\/p>\n<p class=\"a-plus-plus\" style=\"text-align: justify\">Traditional methods for the estimation of solid wood quality traits of standing tree such as wood density, microfibril angle (MFA), and modulus of elasticity (MOE) are time-consuming and expensive, which render them unsuitable for rapidly screening a large number of trees in tree breeding programs. This study aims to evaluate the suitability of using Pilodyn penetration and acoustic velocity (nondestructive evaluation) to assess wood density, MFA, and MOE for Norway spruce. Pilodyn penetration and Hitman acoustic velocity, as well as wood density, MFA, and MOE using benchmark SilviScan were measured on 5618 standing trees of 524 open-pollinated families in two 21-year-old Norway spruce (<em class=\"a-plus-plus\">Picea abies<\/em>) progeny trials in southern Sweden. Strong genetic correlations were observed between Pilodyn measurement and wood density (<em class=\"a-plus-plus\">r<\/em> <sub class=\"a-plus-plus\">g<\/sub>\u2009=\u2009\u22120.96), and between acoustic velocity and MFA (<em class=\"a-plus-plus\">r<\/em> <sub class=\"a-plus-plus\">g<\/sub>\u2009=\u2009\u22120.94). Combination of Pilodyn penetration and Hitman acoustic velocity measurements (<span class=\"a-plus-plus inline-equation id-i-eq1\"> <span class=\"a-plus-plus equation-source format-t-e-x\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msubsup\"><span id=\"MathJax-Span-4\" class=\"texatom\"><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"texatom\"><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"mi\">M<\/span><span id=\"MathJax-Span-9\" class=\"mi\">O<\/span><span id=\"MathJax-Span-10\" class=\"mi\">E<\/span><\/span><\/span><\/span><\/span>\u00a0<span id=\"MathJax-Span-11\" class=\"texatom\"><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"mo\">(<\/span><span id=\"MathJax-Span-15\" class=\"msubsup\"><span id=\"MathJax-Span-16\" class=\"texatom\"><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"texatom\"><span id=\"MathJax-Span-19\" class=\"mrow\"><span id=\"MathJax-Span-20\" class=\"mi\">A<\/span><span id=\"MathJax-Span-21\" class=\"mi\">V<\/span><\/span><\/span><\/span><\/span>\u00a0<span id=\"MathJax-Span-22\" class=\"mn\">2<\/span>\u00a0<\/span><span id=\"MathJax-Span-23\" class=\"mo\">+<\/span><span id=\"MathJax-Span-24\" class=\"texatom\"><span id=\"MathJax-Span-25\" class=\"mrow\"><span id=\"MathJax-Span-26\" class=\"mi\">P<\/span><span id=\"MathJax-Span-27\" class=\"mi\">i<\/span><span id=\"MathJax-Span-28\" class=\"mi\">l<\/span><span id=\"MathJax-Span-29\" class=\"mi\">o<\/span><\/span><\/span><span id=\"MathJax-Span-30\" class=\"mo\">)<\/span><\/span><\/span><\/span>\u00a0<\/span><\/span>\u00a0<\/span><\/span> <\/span> <\/span>) obtained from standing trees showed a genetic correlation with benchmark MOE of 0.99. This combined <span class=\"a-plus-plus inline-equation id-i-eq2\"><span class=\"a-plus-plus equation-source format-t-e-x\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-31\" class=\"math\"><span id=\"MathJax-Span-32\" class=\"mrow\"><span id=\"MathJax-Span-33\" class=\"msubsup\"><span id=\"MathJax-Span-34\" class=\"texatom\"><span id=\"MathJax-Span-35\" class=\"mrow\"><span id=\"MathJax-Span-36\" class=\"texatom\"><span id=\"MathJax-Span-37\" class=\"mrow\"><span id=\"MathJax-Span-38\" class=\"mi\">M<\/span><span id=\"MathJax-Span-39\" class=\"mi\">O<\/span><span id=\"MathJax-Span-40\" class=\"mi\">E<\/span><\/span><\/span><\/span><\/span>\u00a0<span id=\"MathJax-Span-41\" class=\"texatom\"><span id=\"MathJax-Span-42\" class=\"mrow\"><span id=\"MathJax-Span-43\" class=\"mrow\"><span id=\"MathJax-Span-44\" class=\"mo\">(<\/span><span id=\"MathJax-Span-45\" class=\"msubsup\"><span id=\"MathJax-Span-46\" class=\"texatom\"><span id=\"MathJax-Span-47\" class=\"mrow\"><span id=\"MathJax-Span-48\" class=\"texatom\"><span id=\"MathJax-Span-49\" class=\"mrow\"><span id=\"MathJax-Span-50\" class=\"mi\">A<\/span><span id=\"MathJax-Span-51\" class=\"mi\">V<\/span><\/span><\/span><\/span><\/span>\u00a0<span id=\"MathJax-Span-52\" class=\"mn\">2<\/span>\u00a0<\/span><span id=\"MathJax-Span-53\" class=\"mo\">+<\/span><span id=\"MathJax-Span-54\" class=\"texatom\"><span id=\"MathJax-Span-55\" class=\"mrow\"><span id=\"MathJax-Span-56\" class=\"mi\">P<\/span><span id=\"MathJax-Span-57\" class=\"mi\">i<\/span><span id=\"MathJax-Span-58\" class=\"mi\">l<\/span><span id=\"MathJax-Span-59\" class=\"mi\">o<\/span><\/span><\/span><span id=\"MathJax-Span-60\" class=\"mo\">)<\/span><\/span><\/span><\/span>\u00a0<\/span><\/span>\u00a0<\/span><\/span> <\/span> <\/span> had higher selection efficiency for benchmark MOE (92\u00a0%) compared to 58\u201360\u00a0% using acoustic velocity alone and 78\u00a0% using Pilodyn penetration alone.Combination of Pilodyn penetration with Hitman acoustic velocity provided very high selection efficiency for the three most important quality traits for wood mechanical properties in Norway spruce.<\/p>\n<p class=\"a-plus-plus\" style=\"text-align: justify\"><div class='altmetric-embed' data-badge-type='donut' data-doi='10.1007\/s13595-015-0458-9'  style='float: right; ' ><\/div><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<hr \/>\n<p><span style=\"color: #808000\"><strong><em>Publication<\/em><\/strong><\/span><\/p>\n<p class=\"a-plus-plus\">Chen Z-Q, Karlsson B, Lundqvist S-O, Garc\u00eda Gil M, Olsson L, Wu H 2015. Estimating solid wood properties using Pilodyn and acoustic velocity on standing trees of Norway spruce. <a href=\"http:\/\/link.springer.com\/article\/10.1007\/s13595-015-0458-9\" target=\"_blank\">Ann. For. Sci.: 1-10. 10.1007\/s13595-015-0458-9.<\/a><\/p>\n<p class=\"a-plus-plus\">\n","protected":false},"excerpt":{"rendered":"<p>Strong genetic correlations were observed between Pilodyn measurement and wood density, and between acoustic velocity and MFA. Combination of Pilodyn penetration and acoustic velocity measurements from standing trees can provide reliable prediction of stiffness of Norway spruce for breeding selection. Traditional methods for the estimation of solid wood quality traits of standing tree such as [&hellip;]<\/p>\n","protected":false},"author":35,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,15],"tags":[],"class_list":["post-1182","post","type-post","status-publish","format-standard","hentry","category-non-classe","category-research-paper","cat-1-id","cat-15-id"],"_links":{"self":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/1182","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/users\/35"}],"replies":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/comments?post=1182"}],"version-history":[{"count":0,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/1182\/revisions"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=1182"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=1182"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=1182"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}