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Estimating shrinkage, microfibril angle and density of Eucalyptus wood using near infrared spectroscopy

机译:使用近红外光谱法估计桉木的收缩率,微纤丝角度和密度

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Developing calibration models from near infrared (NIR) spectra for quickly and reasonably estimating key wood traits has become a prime step in tree breeding programmes. While the optimal procedures for the calibration of NIR-based models for chemical-related wood traits, stiffness and wood density of wood are relatively well established, relatively few studies have dealt with NIR calibrations for wood shrinkage and cellulose microfibril angle (MFA) of cell walls. MFA has major effects on wood stiffness and shrinkage; however, this ultra-structural cell wall feature has been under-utilised by breeding programmes due to the difficulty in measuring it. The aim of this study was to develop NIR models for estimating radial and tangential shrinkage and MFA in Eucalyptus wood. The calibration for MFA provided NIR predicted values suitable for making a selection of the most favourable trees for a given end-use in breeding programmes. The correlation (r_p~2) between NIR predicted and X-ray diffraction derived values of MFA was 0.75 and the root mean standard error of the predictions was 1.3 degrees. These estimates appear to be adequate for selecting potential trees in genetic investigations. Calibrations were also established for predicting the dimensional stability of the wood. However, the statistics for shrinkage indicated that the models were not satisfactory as they provided NIR estimated values of limited applicability. Further studies would be useful for establishing adequate protocols for NIR calibrations of these important (but complicated to measure) wood characteristics.
机译:从近红外(NIR)光谱开发校准模型以快速合理地估计关键的木材性状已成为树木育种计划的第一步。虽然已经相对完善地建立了基于NIR的化学相关木材特性,刚度和木材密度的模型校准的最佳程序,但是针对木材收缩率和细胞纤维素微纤丝角(MFA)的NIR校准的研究相对较少。墙壁。 MFA对木材的硬度和收缩率有重大影响;然而,由于难以测量,这种超微结构的细胞壁特征并未被育种程序充分利用。这项研究的目的是开发用于估算桉木径向和切向收缩率和MFA的NIR模型。 MFA的校准提供了NIR预测值,适用于在育种计划中针对给定的最终用途选择最有利的树木。 NFA预测值与MFA X射线衍射得出的值之间的相关性(r_p〜2)为0.75,预测值的均方根标准误为1.3度。这些估计值似乎足以选择基因研究中的潜在树木。还建立了用于预测木材尺寸稳定性的标定。但是,收缩率统计表明,这些模型不令人满意,因为它们提供了有限适用性的NIR估计值。进一步的研究对于为这些重要的(但很难测量)木材特性的近红外光谱校准建立适当的协议将很有用。

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