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林业科学 ›› 2017, Vol. 53 ›› Issue (6): 30-36.doi: 10.11707/j.1001-7488.20170604

• 论文与研究报告 • 上一篇    下一篇

基于无损检测技术的湿地松生长及材性性状遗传变异分析

张帅楠, 栾启福, 姜景民   

  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 杭州 311400
  • 收稿日期:2016-06-16 修回日期:2016-07-15 出版日期:2017-06-25 发布日期:2017-07-14
  • 通讯作者: 栾启福
  • 基金资助:
    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)

Genetic Variation Analysis for Growth and Wood Properties of Slash Pine Based on The Non-Destructive Testing Technologies

Zhang Shuainan, Luan Qifu, Jiang Jingmin   

  1. Zhejiang Provincial Key Laboratory of Tree Breeding Research Institute of Subtropical Forestry, Chinese Academy of Forestry Hangzhou 311400
  • Received:2016-06-16 Revised:2016-07-15 Online:2017-06-25 Published:2017-07-14

摘要: [目的] 基于无损检测技术研究湿地松活立木基本密度(ρ)、弹性模量(MOE)和生长量的遗传变异规律及其遗传和表型相关关系,在保证生长量遗传改良的同时加强木材物理力学性质的选育力度,为速生优质湿地松人工林建设提供种质基础。[方法] 以浙江杭州长乐林场22年生湿地松半同胞家系测定林为研究对象,采用木材阻力仪Pilodyn和应力波测量仪Hitman等无损检测仪器测定2 000多株湿地松活立木ρ、MOE等物理力学性状,采用测杆等标准测具测定对应单株的枝下高、冠幅、分枝大小、分枝角以及树高和胸径等形质和生长性状,并通过ASReml-R软件混合线性模型的限制性极大似然估计法(REML)对各性状进行方差分析、遗传力估算和相关性分析。[结果] 1)弹性模量相对值MOEP与应力波速v之间呈极显著(P <0.001)遗传相关(R=0.947 0±0.020 1)和表型相关(R=0.948 0±0.002 7),与基本密度相对值ρP之间呈显著(P<0.01)遗传(R=-0.447 0±0.154 0)和表型(R=-0.538 0±0.019 1)相关,以v对MOEP进行间接选择,其有效性达到了97.42%。2)材性性状的遗传力在0.292 0~0.305 0之间,生长性状遗传力在0.062 5~0.216 0之间;以1%的选择强度计算,材积和MOE能获得30%的遗传增益。3)树高、胸径、材积、冠幅和分枝大小两两之间均呈显著的(P<0.05)遗传正相关关系,枝下高与树高正相关,分枝角与分枝大小负相关,但相关不显著,而胸径、树高、枝下高、材积、冠幅和分枝大小两两之间均具有极显著的表型正相关性;材性和生长性状之间普遍存在着显著的表型相关关系(P<0.05),但遗传相关不显著。[结论] 仅利用应力波速v即能快速评估群体内每木弹性模量(MOE)相对大小,比传统上仅用木材基本密度(ρ)评估MOE效果更好;ρ和MOE受中等程度的遗传控制,其遗传力明显高于生长性状;材性与生长性状之间遗传相关不显著,能够实现两类性状的同步遗传改良。

关键词: 湿地松, 生长性状, 木材密度, 弹性模量, 无损评估, 遗传分析

Abstract: [Objective] The genetic variability and genetic and phenotypic correlations among Basic Wood Density (ρ), Modulus of Elasticity (MOE) and growth were studied to strengthen the selection and breeding intensity of the physical and mechanical wood properties in order to provide the better germplasms for growing slash pine(Pinus elliottii)plantation.[Method] The ρ and MOE were determined by the non-destructive evaluation technique, Pilodyn and acoustic velocity (AV), studied on the half-sib families of slash pine at 22 years old in Changle State Forest Farm in northern Zhejiang province. The growth traits such as diameter at breast height (DBH), height (H), under-branch height (Hb), crown width (CW), branch size (B) and branch angle (Ba) were measured by conventional method. The heritabilities and genetic- and phenotypic-correlations for growth and wood properties were estimated using Residual Maximum Likelihood (REML) in the flexible mixed modeling program ASReml-R.[Result] 1) The results of nondestructive testing of wood properties showed that relative value of MOE (MOEP)had highly positive and significant genetic (R=0.947 0±0.020 1, P<0.001) and phenotypic (R=0.948 0±0.002 7, P<0.001) correlations with wave velocity (v), and negative genetic (R=-0.447 0±0.154 0, P<0.01) and phenotypic (R=-0.538 0±0.019 1, P<0.001) correlations with relative value of ρ (ρP) (It indicated that MOE and ρ were closely related. But the correlation coefficient was much less than the correlation with v). 2) The heritabilities of wood properties was between 0.292 0~0.305 0, and the heritabilities of growth traits was between 0.062 5~0.216 0. The genetic gains of volume (V) and MOEP could be 30% (the selection rate=1%). 3) For growth traits, the genetic correlations among DBH, V, CW and B were significantly positive. And the genetic correlations between H and DBH, V were highly positive significantly. Hb just had moderate positive genetic correlation with H. Ba showed weak phenotypic correlation with B negatively only.Other traits showed no significant correlations. It is worth mentioning that the phenotypic correlations among DBH, H, Hb, V and B were extremely significantly positive. The genetic correlations between growth and wood properties were not significant. However, the phenotypic correlations between them were significant but the correlation coefficients were low.[Conclusion] 1) Only use v could quickly assess the relative value of MOE of each tree within the population. The selection effect is better than that only using ρ to evaluate MOE. 2) ρ and MOE were controlled by a moderate degree of genetic control, and the heritabilities were higher than growth traits obviously. 3) Wood properties just had significant phenotypic correlations with growth traits. Improvement of these traits simultaneously was possible.

Key words: Pinus elliottii, growth traits, wood density, modulus of elasticity, non-destructive evaluation, genetic analysis

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