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Crop Physiology & Ecology

Analysis of Common Canopy Reflectance Spectra for Indicating Leaf Nitrogen Concentrations in Wheat and Rice

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Pages 400-411 | Received 30 Aug 2006, Accepted 26 Mar 2007, Published online: 07 Dec 2015

References

  • Blackmer, T.M., Schepers, J.S., Varvel, G.E. and Shea, E.A.W. 1996. Nitrogen deficiency detection using reflected shortwave radiation from irrigated corn canopies. Agron. J. 88 : 1–5.
  • Cropscan Inc. 2000. Data logger controller, User’s guide and technical reference. CROPSCAN Inc. Rochester, MN.1–292.
  • Curran, P.J., Dungan, J.L. and Peterson, D.L. 2001. Estimating the foliar biochemical concentration of leaves with reflectance spectrometry : testing the Kokaly and Clark methodologies. Remote Sens. Environ. 76 : 349–359.
  • Everitt, J.H., Pettit, R.D. and Alaniz, M.A. 1987. Remote sensing of broom snake weed (Gutierrezia sarothrae) and spiny aster (Aster spinosus). Weed Sci. 35 : 295–302.
  • Filella, I., Serrano, L., Serra, J. and Penuelas, J. 1995. Evaluating wheat nitrogen status with canopy reflectance indices and discriminant analysis. Crop Sci. 35 : 1400–1405.
  • Huete, A.R., Jackson, R.D. and Post, D.F. 1985. Spectral response of a plant canopy with different soil backgrounds. Remote Sens. Environ. 17 : 37–53.
  • Jamieson, P.D., Porter, J.R. and Wilson, D.R. 1991. A test of the computer simulation model ARC-WHEAT1 on wheat crops grown in New Zealand. Field Crops Res. 27 : 337–350.
  • Janssen, B.H. 1998. Efficient use of nutrients : an art of balancing. Field Crops Res. 56 : 197–201.
  • Jensen, A. and Lorenzen, B. 1990. Radiometric estimation of biomass and nitrogen content of barley grown at different nitrogen levels. Int. J. Remote Sens. 11 : 1809–1820.
  • Johnkutty, I., Mathew, G., Thiyagarajan, T.M. and Balasubramanian, V. 2000. Relationship among leaf nitrogen content, SPAD and LCC values in rice. J. Trop. Agric. 38 : 97–99.
  • Jongschaap, R.E.E. and Booij, R. 2004. Spectral measurements at different spatial scales in potato : relating leaf, plant and canopy nitrogen status. Int. J. Applied Earth Obser. Geoinf. 5 : 205–218.
  • Lee, T., Raja, K. and Reddy, G. 2000. Reflectance indices with precision and accuracy in predicting cotton leaf nitrogen concentration. Crop Sci. 40 : 1814–1819.
  • Li, J.H., Dong, Z.X. and Zhu, J.Z. 2003. Present application and outlook for method of nitrogen nutrition diagnosis. J. Shihezi Univ. (Natural Sci.) 7 : 80–83.
  • Liu, L., Sang, D., Liu, C., Wang, Z., Yang, J. and Zhu, Q. 2003. Effects of real-time and site-specific nitrogen managements on rice yield and nitrogen use efficiency. Scientia Agric. Sinica. 36 : 1456–1461.
  • Loague, K. and Green, R.E. 1991. Statistical and graphical methods for evaluating solute transport models : overview and application. J. Contam. Hydrol. 7 : 51–73.
  • Ntamatungiro, S., Norman, R.J., McNew, R.W. and Wells, B.R. 1999. Comparison of plant measurements for estimating nitrogen accumulation and grain yield by flooded rice. Agron. J. 91 : 676–685.
  • Raun, W.R. and Johnson, G.V. 1999. Improving nitrogen use efficiency for cereal production. Agron. J. 91 : 357–363.
  • Roth, G.W. and Fox, R.H. 1989. Plant tissue test for predicting nitrogen fertilizer requirement of winter wheat. Agron. J. 81 : 502–507.
  • SAS Institute. 2004. SAS/STAT user’s guide. Version 9.1. SAS Inst., Cary, NC. 25–68.
  • Shibayama, M. and Akiyama, T.A. 1986. A spectroradiometer for field use. VII. Radiometric estimation of nitrogen levels in field rice canopies. Jpn. J. Crop Sci. 55 : 439–445.
  • Stone, M.L., Soile, J.B., Raun, W.R., Whitney, R.W., Taylor, S.L. and Ringer, J.D. 1996. Use of spectral radiance for correcting in-season fertilizer nitrogen deficiencies in winter wheat. Trans. ASAE 39 : 1623–1631.
  • Takahashi, W., Nguyen-Cong, V., Kawaguchi, S., Minamiyama, M. and Ninomiya, S. 2000. Statistical models for prediction of dry weight and nitrogen accumulation based on visible and nearinfrared hyper-spectral reflectance of rice canopies. Plant Prod. Sci. 3 : 377–386.
  • Thenkabail, P.S., Smith, R.B. and Pauw, E.D. 2000. Hyper-spectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sens. Environ. 71 : 158–182.
  • Thomas, J.R. and Oerther, G.F. 1972. Estimating nitrogen content of sweet pepper leaves by reflectance measurements. Agron. J. 64 : 11–13.
  • Wang, R.C., Chen, M.Z. and Jiang, H.X. 1993. Studies on agronomic mechanism of the rice yield estimation by remote sensing : I. The rice reflectance characteristics of different nitrogen levels and the selection of their sensitive bands. J. Zhejiang Agric. Univ. 19 (suppl.) : 7–14.
  • Xue, L.H., Cao, W.X., Luo, W.H. and Zhang, X. 2004. Correlation between leaf nitrogen status and canopy spectral characteristics in wheat. Acta Phytoecologica Sinica. 28 : 172–177*.
  • Yoder, B.J. and Pettigrew-Crosby, R.E. 1995. Predicting nitrogen and chlorophyll concentrations from reflectance spectra (400 −2500 nm) at leaf and canopy scales. Remote Sens. Environ. 53 : 199–211.
  • Zhang, F. and Ma, W. 2000. The relationship between fertilizer input level and nutrient use efficiency. Soil and Environ. Sci. 9 : 154–157.