Vis/NIR spectroscopy and chemometrics for non-destructive estimation of water and chlorophyll status in sunflower leaves
Vis/NIR spectroscopy and chemometrics for non-destructive estimation of water and chlorophyll status in sunflower leaves
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DOI：
10.1016/j.biosystemseng.2016.12.008
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发表时间：
2017-03-01
影响因子：
5.1
通讯作者：
Zolnier, Sergio
中科院分区：
文献类型：
--
作者：
Steidle Neto, Antonio Jose;Lopes, Daniela C.;Zolnier, Sergio
植被的生物化学和生物物理变量对于许多生态学、农学和气象学应用是重要的。其中，水分和叶绿素是影响植物光合能力和作物产量的重要因素。本研究的目的是建立和验证模型，能够估计在渐进水分胁迫下向日葵叶片的水分和叶绿素状态，基于可见光/近红外区域（维斯/NIR）光谱反射率和化学计量学技术。利用偏最小二乘回归（PLSR），考虑500-1039 nm波长的光谱反射率，对水分和叶绿素模型进行了调整。在外部验证中，水分和叶绿素的决定系数分别为0.8386和0.8097，平均偏差分别为-0.40干基和0.09 mg g（-1），表明模型的预测能力和精度令人满意。结果表明，光谱法有可能作为一种替代方法，在量化向日葵叶片中的水分和叶绿素状态在一个非破坏性的，快速的，一致的方式。(C)2016年IAgRE。由爱思唯尔有限公司出版。保留所有权利。
Vegetation biochemical and biophysical variables are important for many ecological, agronomic, and meteorological applications. Among the main variables, water and chlorophyll are essentials due to directly affect the plant photosynthetic capacity and crop productivity. The objective of this study was develop and validate models capable of estimating water and chlorophyll status in sunflower leaves under progressive water stress, based on the visible/near-infrared region (Vis/NIR) spectral reflectance and chemometric technique. The water and chlorophyll models were adjusted considering the spectral reflectance from the 500-1039 nm wavelengths by using partial least squares regressions (PLSR). In the external validation, high determination coefficient (0.8386 and 0.8097) and low mean bias error (-0.40 dry basis and 0.09 mg g(-1)) values for water and chlorophyll, respectively, indicating that their predictive capabilities and accuracies of the models were satisfactory. Results showed that spectrometry has potential to be applied as an alternative method in quantifying water and chlorophyll status in sunflower leaves in a non-destructive, quick, and consistent way. (C) 2016 IAgrE. Published by Elsevier Ltd. All rights reserved.