文献类型：期刊文献

中文题名：湿地松活立木弹性模量无损评估技术研究

英文题名：Study on the Modulus of Elasticity Non-destructive Evaluation Technique of Slash Pine Standing Tree

作者：张帅楠[1] 姜景民[1] 徐永勤[2] 栾启福[1]

第一作者：张帅楠

机构：[1]中国林业科学研究院亚热带林业研究所,浙江省林木育种技术研究重点实验室,浙江杭州311400;[2]浙江省杭州市余杭区长乐林场,浙江杭州311123

年份：2017

卷号：30

期号：1

起止页码：75-80

中文期刊名：林业科学研究

外文期刊名：Forest Research

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2017_2018】；

基金：国家自然科学基金项目(31570668);“十二·五”国家林业科技支撑计划专题(2012BAD01B0203);国家林业局“948”引进项目(2012-4-46)

语种：中文

中文关键词：湿地松;活立木;弹性模量;无损评估

外文关键词：slash pine; standing tree; modulus of elasticity; non-destructive evaluation;

分类号：S791.246

摘要：[目的]开发操作简便、破坏性小且结果可靠的弹性模量无损评估技术,为实现以大群体试验材料为基础的遗传选择和评估,培育速生优质林木良种奠定基础。[方法]以22年生湿地松自由授粉家系测定林为研究对象,采用力学阻力仪(Pilodyn)和应力波速(V)记录仪(AV)等活立木无损评估仪器和方法以及木材物理力学常规检测方法,建立活立木弹性模量评估技术体系。[结果]Pilodyn测定值Pr与实测基本密度(ρ)间呈显著负相关(P<0.01);弹性模量测定值MOEB与弹性模量(计算值)MOE(MOE=ρV2)之间呈极显著线性相关关系,其线性回归模型为MOEB=2.013 3+0.828 6 MOE,决定系数R2=0.854 1;利用ρ和V计算的弹性模量值MOE与利用Pr和V计算的弹性模量相对值MOEP(MOEP=Pr V2)间呈极显著正相关关系(P<0.001),回归模型为MOE=0.400 7+0.231 1 MOEP,决定系数R2=0.734 0;弹性模量MOE与V值相关极显著(P<0.001),V与MOE的回归方程为MOE=-5.121 8+3.239 4 V,决定系数R2=0.921 9。[结论]在遗传选择时弹性模量(计算值)完全可以代表弹性模量测定值进行评估与选育;可直接利用MOEP作为各样木的弹性模量值参与遗传分析;同时建立了MOE与V值之间的回归方程,在比较同一测定群体弹性模量值相对大小时也可直接比较V值,大大减少了工作量。建立的模型对其它树种测定具有参考意义,但尚需检验。
[Objective]To develop the non-destructive evaluation technique of modulus of elasticity（ MOE） for realizing the genetic selection and evaluation of forest tree with the traits of fast growing and high quality based on a large population of test materials. [Method]The evaluation systems of MOE of standing tree were established by non-destructive evaluation technique,Pilodyn and acoustic velocity（ AV）,and conventional testing methods based on the open pollinated family of 22-year-old slash pine（ Pinus elliottii）. [Result]The Pilodyn value（ Pr） and the basic density（ ρ） showed a significant negative correlation（ P〈0. 01）. The measurement value of MOE（ MOEB）,determined by conventional methods,had a very significant linear correlation with the MOE value calculated by the formula MOE = ρV^2. The regression model was MOEB= 2. 013 3 ＋ 0. 828 6 MOE（ Coefficient of determination R^2=0. 854 1）. A significant positive correlation（ P〈0. 001） was observed between MOE and MOEP,the relative valueof MOE,（ MOEP= Pr V^2）（ V means the value of AV）,and the linear regression model was MOE = 0. 400 7 ＋0. 231 1 MOEP（ coefficient of determination R^2= 0. 734 0）. The positive correlation between MOE and V was extremely significant（ P〈0. 001） and the linear regression model between MOE and V was MOE =- 5. 121 8 ＋3. 239 4 V（ coefficient of determination R^2= 0. 921 9）. [Conclusion]The modulus of elasticity calculated by MOE= ρV2can represent the determination values of MOE. The MOEPcan be used directly as the MOE value for each sample tree to participate in genetic analysis. It is feasible to compare only the V when evaluating the relative value of MOE of the sample trees in the same population. Therefore,these linear models are also useful for other tree species.