Monitoring nitrogen accumulation in wheat leaf with red edge characteristics parameters

被引：0
作者：
Feng, Wei [1 ,2 ]
Zhu, Yan [1 ]
Yao, Xia [1 ]
Tian, Yongchao [1 ]
Guo, Tiancai [2 ]
Cao, Weixing [1 ]
机构：
[1] Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province, Nanjing Agricultural University
[2] National Engineering Research Centre for Wheat, Henan Agricultural University
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2009年 / 25卷 / 11期
关键词：
Leaf nitrogen accumulation; Models; Monitoring; Red edge characteristic indices; Spectrum analysis; Wheat;
D O I：
10.3969/j.issn.1002-6819.2009.11.035
中图分类号：
学科分类号：
摘要：
Three field experiments were conducted with different nitrogen application rates and wheat cultivars across three growing seasons, and time-course measurements were taken on canopy spectral reflectance, leaf dry weight and leaf nitrogen concentration under the various treatments. The primary objective of this study was to explore the optimum red edge characteristics parameters and quantitative models for estimating leaf nitrogen accumulation in wheat (Triticum aestivum L.). The results showed that the first derivative of the reflectance spectra changes regularly with increasing N rates in red edge region, and canopy spectral reflectance changes complexly. The analyses on relationships between the vegetable indices reported to leaf N accumulation indicated that red edge spectral parameters related most significantly to leaf N accumulation, differed among red edge spectral parameters. An integrated linear regression equation of leaf N accumulation to GM2, SR705 and FD742 described the dynamic pattern of change in leaf N accumulation in wheat, giving the determination of coefficients (R2) as 0.854, 0.848 and 0.873, respectively, and the standard errors (SE) as 1.136, 1.160 and 1.059, respectively. The two peak spectral parameters in red edge region were constructed on analysis of red edge characteristics, and differential vegetation index of two peak in red edge region LSDr_REPLE was highly correlated with leaf N accumulation with 0.868 of R2 and 1.080 of SE. When independent data were fit to the derived equations, the average relative error (RE) values as 17.6%, 17.0%, 14.9% and 14.5% between measured and estimated N accumulation using spectral parameters GM2, SR705, FD742 and LSDr_REPLE, respectively, indicating a good fit and better in LSDr_REPLE. The result indicated that those models could be used to reliably estimate the leaf N states in wheat, and especially LSDr_REPLE of new extracted parameters could indicate further steadily dynamic changes in leaf N accumulation.
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页码：194 / 201
页数：7
相关论文
共 32 条
  • [1] Wang D., Yu Z., Effect of nitrogen application levels on nitrogen assimilation and grain protein components accumulation in strong giuten wheat, Journal of Soil and Water Conservation, 21, 5, pp. 147-150, (2007)
  • [2] Guo S., Dang T., Hao M., Effects of fertilization on wheat yield, NO3--N accumulation and soil water content in semi-arid area of china, Scientia Agricultura Sinica, 38, 4, pp. 754-760, (2005)
  • [3] Yao X., Zhu Y., Tian Y., Et al., Research of the optimum hyperspectral vegetation indices on monitoring the nitrogen content in wheat leaves, Scientia Agricultura Sinica, 42, 8, pp. 2716-2725, (2009)
  • [4] Hansen P.M., Schjoerring J.K., Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression, Remote Sensing of Environment, 86, pp. 542-553, (2003)
  • [5] Alt C., Kage H., Stutzel H., Modeling nitrogen content and distribution in cauliflower (Brassica oleracea L. botrytis), Annals of Botany, 86, pp. 963-973, (2000)
  • [6] Thomas J.R., Oerther G.F., Estimating nitrogen content of sweet pepper leaves by reflectance measurements, Agronomy Journal, 64, pp. 11-13, (1972)
  • [7] Blackmer T.M., Schepers J.S., Varvel G.E., Et al., Nitrogen deficiency detection using reflected schortwave radiation from irrigated corn canopies, Agronomy Journal, 88, pp. 1-5, (1996)
  • [8] Yoder B.J., Pettigrew-Crosby R.E., Predicting nitrogen and chlorophyll concentrations from reflectance spectra (400-2500 nm) at leaf and canopy scales, Remote Sensing of Environment, 53, pp. 199-211, (1995)
  • [9] Stone M.L., Soile J.B., Raun W.R., Et al., Use of spectral radiance for correcting in-season fertilizer nitrogen deficiencies in winter wheat, Transactions of the ASAE, 39, pp. 1623-1631, (1996)
  • [10] Yang J., Tian Y., Zhu Y., Et al., A new spectral index for estimating protein nitrogen concentrations in top leaves of rice, Scientia Agricultura Sinica, 42, 8, pp. 2695-2705, (2009)
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