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中红外光谱在预测木质被子植物的密度和栓塞易感性方面的潜力。

The potential of Mid-Infrared spectroscopy for prediction of wood density and vulnerability to embolism in woody angiosperms.

机构信息

University of Natural Resources and Life Sciences, Vienna (BOKU), Division of Viticulture and Pomology, Department of Crop Sciences, Konrad Lorenz Straße 24, Tulln, Austria.

University of Natural Resources and Life Sciences, Vienna (BOKU), Institute of Botany, Gregor Mendel Straße 33, Vienna, Austria.

出版信息

Tree Physiol. 2019 Mar 1;39(3):503-510. doi: 10.1093/treephys/tpy112.

Abstract

Xylem resistance to embolism formation determines the species-specific drought tolerance and the survival prospects of plants under extreme climatic conditions. Fourier Transform-Infrared (FTIR) spectroscopy is a cost-effective and rapid analytical tool with potential beyond its current use in plant physiology. We tested the use of FTIR spectroscopy as a method for estimating wood density (WD) and xylem resistance to embolism formation (P50) in 24 angiosperm species. Higher WD was associated with more negative P50 (r2 = 0.41). Partial least squares regression was applied to establish models of FTIR spectra and the reference data. They showed a high predictive quality for WD (r2 = 0.73), whereas the prediction of P50 was weaker (r2 = 0.49). By including WD in the model as an additional factor influencing P50, its predictive power significantly increased (r2 = 0.59). The spectral range in the model elaboration has been also narrowed (bands of lignin, cellulose, hemicellulose), but this did not influence the model descriptors, suggesting that for P50 prediction broad spectral range is more informative than narrow band regions reflecting main wood constituents. In conclusion, FTIR spectroscopy associated with WD measurements has proven to be a promising alternative to traditional methods for screening of individual- or species-specific resistance to embolism in angiosperms.

摘要

木质部抗栓塞形成能力决定了物种的耐旱性和植物在极端气候条件下的生存前景。傅里叶变换红外(FTIR)光谱分析是一种具有成本效益且快速的分析工具,其潜在用途超出了目前在植物生理学中的应用。我们测试了 FTIR 光谱分析作为一种估计 24 种被子植物木质部密度(WD)和木质部抗栓塞形成能力(P50)的方法。较高的 WD 与更负的 P50 相关(r2 = 0.41)。偏最小二乘回归被应用于建立 FTIR 光谱和参考数据的模型。它们显示出对 WD 的高度预测质量(r2 = 0.73),而对 P50 的预测则较弱(r2 = 0.49)。通过将 WD 作为影响 P50 的附加因素纳入模型,其预测能力显著提高(r2 = 0.59)。模型制定中光谱范围也有所缩小(木质素、纤维素、半纤维素的波段),但这并没有影响模型描述符,表明对于 P50 预测,宽光谱范围比反映主要木材成分的窄带区域更具信息量。总之,FTIR 光谱分析与 WD 测量相结合,已被证明是一种有前途的替代传统方法,可用于筛选被子植物个体或物种特有的抗栓塞能力。

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