Reflectance variation within the in-chlorophyll centre waveband for robust retrieval of leaf chlorophyll content.
Reflectance variation within the in-chlorophyll centre waveband for robust retrieval of leaf chlorophyll content.
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叶绿素内中心波段内的反射率变化，用于稳健反演叶片叶绿素含量
DOI：
10.1371/journal.pone.0110812
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Zhou Q
中科院分区：
文献类型：
--
作者：
Zhang J;Huang W;Zhou Q
叶绿素中心波段（640-680 nm）是叶绿素（Chl）的特征吸收波段，但近几十年来，该波段的反射率并没有作为无损测定植物Chl含量的最佳指标。本研究开发了一个新的光谱指数的基础上，单独的ICCW强大的叶片叶绿素含量的检索第一次。采用温室水培试验，对1个水稻叶绿素缺失突变体和6个水稻野生型进行了叶片反射率（400-900 nm）的测定，并测定了叶片叶绿素a（Chla）、叶绿素B（Chlb）和叶绿素a+B（Chlt）的含量。结果表明，低叶绿素突变体叶片在640 ~ 674 nm和675 ~ 680 nm波段的反射率曲线明显陡于野生型叶片。基于ICCW内反射率变化的新指标--ICCW内一阶导数和之差（DFDS_ICCW）对Chlt高度敏感（r =-0.77，n = 93，P<0.01），而当叶片Chlt高于200 mg/m2时，ICCW内平均反射率（R_ICCW）对Chlt不敏感（r =-0.12，n = 93，P>0.05）。 R-ICCW和DFDS_ICCW的最佳方程预测Chla、Chlb和Chlt的RMSE分别为78.7、32.9和107.3 mg/m2，RMSE分别为37.4、16.0和45.3 mg/m2。与现有的55个指标相比，新指标对Chla和Chlt的预测能力可排在前10位。此外，大多数现有的55个叶绿素相关的维斯执行稳健或强烈的同时预测叶叶绿素a，叶绿素b和叶绿素。
The in-chlorophyll centre waveband (ICCW) (640–680 nm) is the specific chlorophyll (Chl) absorption band, but the reflectance in this band has not been used as an optimal index for non-destructive determination of plant Chl content in recent decades. This study develops a new spectral index based solely on the ICCW for robust retrieval of leaf Chl content for the first time. A glasshouse experiment for solution-culture of one chlorophyll-deficient rice mutant and six wild types of rice genotypes was conducted, and the leaf reflectance (400–900 nm) was measured with a high spectral resolution (1 nm) spectrophotometer and the contents of chlorophyll a (Chla), chlorophyll b (Chlb) and chlorophyll a+b (Chlt) of the rice leaves were determined. It was found that the reflectance curves from 640 nm to 674 nm and from 675 nm to 680 nm of the low-chlorophyll mutant leaf were drastically steeper than that of the wild types in the ICCW. The new index based on the reflectance variation within ICCW, the difference of the first derivative sum within the ICCW (DFDS_ICCW), was highly sensitive (r = −0.77, n = 93, P<0.01) to Chlt while the mean reflectance (R_ICCW) in the ICCW became insensitive (r = −0.12, n = 93, P>0.05) to Chlt when the leaf Chlt was higher than 200 mg/m2. The best equations of R-ICCW and DFDS_ICCW yielded an RMSE of 78.7, 32.9 and 107.3 mg/m2, and an RMSE of 37.4, 16.0 and 45.3 mg/m−2, respectively, for predicting Chla, Chlb and Chlt. The new index could rank in the top 10 for prediction of Chla and Chlt as compared with the 55 existing indices. Additionally, most of the 55 existing Chl-related VIs performed robustly or strongly in simultaneous prediction of leaf Chla, Chlb and Chlt.
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