Determination of nitrogen levels based on spectral reflectance values in sheep fescue (Festuca ovina l.)

Determination of nitrogen levels based on spectral reflectance values in sheep fescue (Festuca ovina l.)

The objective of this study was to determine nitrogen levels in sheep fescue (Festuca ovina L.) using spectral reflectance data. Reflectance measurements were undertaken using a portable spectroradiometer measuring the wavelength range of 325-1075 nm of the electromagnetic spectrum. The treatments consisted of different concentrations of nitrogen, phosphorus and potassium for pots and plots. Spectral reflectance values were measured in both canopy level and single-leaf in the field and greenhouse studies. According to result of the study, the better results were obtained in greenhouse conditions. Nitrogen levels were affected reflectance values of blue region which located in the range of 400-500 nm. The results have shown that spectral reflectance data (especially blue region) could be used to estimate the N concentration in sheep fescue.

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  • Albayrak, S., 2008. Use of reflectance measurements for the detection of N, P, K, ADF and NDF contents in sainfoin pasture. Sensors, 8: 7275-7286.
  • Asner, G.P., 1998. Biophysical and biochemical sources of variability in canopy reflectance. Remote Sensing of Environment, 64: 134-53.
  • Blackmer, T.M., J.S. Schepers, G.E. Varvel, E.A. Walter-Shea, 1996. Nitrogen deficiency detection using reflected shortwave radiation from irrigated corn canopies. Agronomy Journal, 88: 1–5.
  • Brink, G.E., D.E. Rowe, K.R. Sistani, A. Adeli, 2003. Bermudagrass cultivar response to swine effluent application. Agronomy Journal, 95: 597–601.
  • Castro-Esau, K.L., G.A. Sánchez-Azofeifa, B. Rivard, 2006. Comparison of spectral indices obtained using multiple spectroradiometers. Remote Sensing of Environment, 103: 276– 288.
  • Foley, W.J., A. Mcllwee, I. Lawler, L. Aragones, A.P. Woolnough, N. Berding, 1998. Ecological Applications of Near Infrared Spectroscopy - A Tool For Rapid, Cost Effective Prediction of The Composition of Plant and Animal Tissues and Aspects of Animal Performance. Oecologia, 116: 293-305.
  • Graeff, S., D. Steffens, S. Schubert, 2001. Use of reflectance measurements for the early detection of N, P, Mg, and Fe deficiencies in corn (Zea mays L.). Journal of Plant Nutrition and Soil Science, 164: 445–450.
  • Halgerson, J.L., C.C. Sheaffer, N.P. Martin, P.R. Peterson, S.J. Weston, 2004. Near-infrared reflectance spectroscopy prediction of leaf and mineral concentrations in alfalfa. Agronomy Journal, 96: 344–351.
  • Han, L., D.C. Rundquist, 2003. The spectral responses of Ceratophyllum demersum at varying depths in an experimental tank. International Journal of Remote Sensing, 24(4): 859-864.
  • Kawamura, K., N. Watanabe, S. Sakanoue, Y. Inoue, 2008. Estimating forage biomass and quality in a mixed sown pasture based on partial least squares regression with waveband selection. Grassland Science, 54: 131–145.
  • Kokaly, R.F., R.N. Clark, 1999. Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression. Remote Sensing of Environment, 67(3): 267-287.
  • Lamb, D.W., M. Steyn-Ross, P. Schaare, M.M. Hanna, W. Silvester, A. Steyn-Ross, 2002. Estimating leaf nitrogen concentration in ryegrass (Lolium spp.) pasture using the chlorophyll red-edge: theoretical modelling and experimental observations. International Journal of Remote Sensing, 23(18): 3619-3648.
  • Li, B., O.W. Liew, A.K. Asundi, 2006. Pre-visual detection of iron and phosphorus deficiency by transformed reflectance spectra. Journal of Photochemistry and Photobiology. B: Biology, 85: 131–139.
  • Lin, Y., Z. Liquan, 2006. Identification of the spectral characteristics of submerged plant Vallisneria spiralis. Acta Ecologica Sinica, 26(4): 1005-1011.
  • Newman, Y.C., C. Mackowiak, R. Mylavarapu, M. Silveira, 2007. Fertilizing and liming forage crops. EDIS publication SS-AGR- 76.
  • Malhi, S.S., D.H. McCartney, 2010. Fertilizer management for forage crops in the Canadian Great Plains: a review. Available at: http://www1.foragebeef.ca/$foragebeef/ frgebeef.nsf/ all /frg90/$FILE/fertillizermanagementofforagecropscanadiangreat plains.pdf (Accessed: 20.12.2010)
  • Ritchie, G.L. 2003. Use of ground-based canopy reflectance to determine radiation capture, nitrogen and water status, and final yield in wheat. M.S. thesis. (Unpublished) Utah State University, Logan. 122 pp.
  • Serrano, L., I. Fillela, J. Penuelas, 2000. Remote sensing of biomass and yield of winter wheat under different nitrogen supplies. Crop Science, 40: 723–731.
  • Starks, P.J., D. Zhao, M.A. Brown, 2007. Estimation of nitrogen concentration and in vitro dry matter digestibility of herbage of warm-season grass pastures from canopy hyperspectral reflectance measurements. Grass and Forage Science, 63: 168– 178.
  • Xue, L., W. Cao, W. Luo, T. Dai, Y. Zhu, 2004. Monitoring leaf nitrogen status in rice with canopy spectral reflectance. Agronomy Journal, 96: 135–142.
  • Yang, F., J. Li, X. Gan, Y. Qian, X. Wu, Q. Yang, 2010. Assessing nutritional status of Festuca arundinacea by monitoring photosynthetic pigments from hyperspectral data. Computers and Electronics in Agriculture, 70: 52-59.
  • Zhao, D., P.J. Starks, M.A. Brown, W.A. Phillips, S.W. Coleman, 2007. Assessment of forage biomass and quality parameters of bermudagrass using proximal sensing of pasture canopy reflectance. Grassland Science, 53: 39-49.
Turkish Journal Of Field Crops-Cover
  • ISSN: 1301-1111
  • Yayın Aralığı: Yılda 2 Sayı
  • Başlangıç: 1996
  • Yayıncı: Tarla Bitkileri Bilimi Derneği