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首页> 外文期刊>Current Opinion in Virology >Near-infrared reflectance spectroscopy allows rapid and simultaneous evaluation of chloroplast pigments and antioxidants, carbon isotope discrimination and nitrogen content in Populus spp. leaves
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Near-infrared reflectance spectroscopy allows rapid and simultaneous evaluation of chloroplast pigments and antioxidants, carbon isotope discrimination and nitrogen content in Populus spp. leaves

机译:近红外反射光谱允许快速且同时评估氯化体颜料和抗氧化剂,碳同位素辨别和杨树中的氮含量。 树叶

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摘要

Poplar species are economically important sources of timber and bioenergy and they also have a valuable application in phytoremediation and in forest restoration programmes. The characterization of their responses in the face of environmental constraints is essential to ascertain their adaptation capacity. Quantification of chloroplast pigments and antioxidant compounds, nutrients and carbon isotope discrimination (Delta C-13) of a large set of samples in ecophysiological studies is important for determining the plant's physiological responses.Delta C-13 and nitrogen are parameters of special interest for providing information on photosynthesis, water relations and nutritional characteristics in forest stands. Photoprotective and antioxidant compounds participate in the physiological defence of plants subjected to stressful environmental conditions. The measurement of these leaf components by traditional techniques is laborious and expensive. To evaluate them, a calibration model was obtained using Near Infrared Reflectance Spectroscopy (NIRS) and chemical analyses of Populus spp. leaves sampled from different clones in different years under different physiological conditions. Predictive calibration equations for the concentration of chloroplast pigments (Chlorophylls a and b, lutein, neoxanthin, beta-carotene (beta-Car), VAZ (violaxanthin + antheraxanthin + zeaxanthin), epoxidation index (El = (0.5.antheraxanthin + violaxanthin)/VAZ)), antioxidants (total phenolics (TPhe), ascorbate and oc-tocopherol), Delta C-13 and N content were established using a partial least squares regression algorithm. Results showed a remarkable accuracy of the calibration equations for quantifying several antioxidative and photoprotective defence compounds such as neoxanthin (R-2 = 0.844), beta-Car (R-2 = 0.827), VAZ (R-2 = 0.846), EI (R-2 = 0.831) and excellent accuracy for TPhe (R-2 = 0.957), N (R-2 = 0.963) and Delta C-13 (R-2 = 0.922). As shown, results can be obtained on multiple physiological attributes with a single measurement, saving time and money and demonstrating the suitability of NIRS for ecophysiological purposes and bioremediation programs. (C) 2017 Elsevier B.V. All rights reserved.
机译:杨树物种是经济上的木材和生物能源的重要来源,它们在植物修复和森林恢复方案中也具有有价值的应用。在面对环境限制方面对其反应的表征对于确定其适应能力至关重要。叶绿体颜料的定量和抗氧化剂化合物,生态学研究中大集样本的碳酸钙化合物,营养和碳同位素辨别(Delta C-13)对于确定植物的生理反应是重要的。尤特拉C-13和氮是提供特殊兴趣的参数关于森林间光合作用,水关系和营养特征的信息。光保护和抗氧化剂的化合物参与患有压力环境条件的植物的生理防御。通过传统技术测量这些叶子组分是费力且昂贵的。为了评估它们,使用近红外反射光谱(NIR)和杨树SPP的化学分析获得校准模型。在不同的年份,在不同的生理条件下从不同的年份中取样。预测校准方程用于叶绿体颜料的浓度(叶绿素A和B,叶黄素,Neoxanthin,β-胡萝卜素(Beta-Car),VAZ(violaxanthin + Antheraxanthin + Zeaxanthin),环氧化指数(EL =(0.5.Antheraxanthin + violaxanthin)/ vaz)),使用局部最小二乘回归算法建立抗氧化剂(总酚类(TPHE),抗坏血酸和抗坏血酸和OC-TOCOPHEROL),DELTA C-13和N含量。结果表明,用于量化几种抗氧化和光保护防御化合物,如Neoxanthin(R-2 = 0.844),β-轿车(R-2 = 0.827),VAZ(R-2 = 0.846),EI( R-2 = 0.831),TPHE的优异精度(R-2 = 0.957),N(R-2 = 0.963)和Delta C-13(R-2 = 0.922)。如图所示,可以在多种生理属性上获得具有单一测量,节省时间和金钱的多种生理属性,并证明NIR对生态学目的和生物修复计划的适用性。 (c)2017 Elsevier B.v.保留所有权利。

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