Assessing leaf nitrogen content and leaf mass per unit area of wheat in the field throughout plant cycle with a portable spectrometer
Assessing leaf nitrogen content and leaf mass per unit area of wheat in the field throughout plant cycle with a portable spectrometer
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DOI：
10.1016/j.fcr.2012.10.013
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发表时间：
2013-01-01
影响因子：
5.8
通讯作者：
Roumet, Pierre
中科院分区：
文献类型：
--
作者：
Ecarnot, Martin;Compan, Frederic;Roumet, Pierre
利用近红外光谱技术对硬粒小麦鲜、干植株叶片氮含量和单位面积叶重进行了测定。用便携式光谱仪扫描单个叶片，然后进行LNC和LMA的参考分析。偏最小二乘（PLS）回归用于校准和交叉验证。无论在任何物候期，对鲜叶和干叶的INC都能准确预测（校正R（2）cal的相关系数范围为0.932至0.958，交叉验证SECV的标准误差范围为0.215至0.320%（干物质））。预测LMA的R（2）cal = 0.942，SECV = 4.84gm（-2）。这两个校准的组合使得有可能预测每单位面积的叶氮（R（2）交叉验证= 0.94，SECV = 0.248 gN m（-2）），并提供了一个相关的和非破坏性的工具，以遵循三个主要的叶参数的动态。(C)2012爱思唯尔有限公司版权所有。
Leaf nitrogen content (LNC) and leaf mass per unit area (LMA) were assessed by near-infrared spectroscopy (NIRS) on fresh and dried plants of durum wheat (Triticum turgidum ssp). Individual leaves were scanned with a portable spectrometer and reference analyses of LNC and LMA were then carried out. Partial least squares (PLS) regression was used for calibration and cross-validation. INC was accurately predicted for both fresh and dry leaves whatever the phenologic stage (correlation coefficient of calibration R(2)cal ranging from 0.932 to 0.958, standard error of cross-validation SECV ranging from 0.215 to 0.320% (dry matter)). LMA was predicted with R(2)cal = 0.942 and SECV = 4.84g m(-2). The combination of these two calibrations made it possible to predict leaf nitrogen per unit area (R(2)cross-validation = 0.94, SECV = 0.248 gN m(-2)) and provides a relevant and non-destructive tool for following the dynamics of three major leaf parameters. (C) 2012 Elsevier B.V. All rights reserved.