Table of Contents
ISRN Agronomy
Volume 2012 (2012), Article ID 450473, 10 pages
http://dx.doi.org/10.5402/2012/450473
Research Article

Selection of Optimum Vegetative Indices for the Assessment of Tobacco Float Seedlings Response to Fertilizer Management

1Tobacco Research Board, Kutsaga Research Station, P.O.Box 1909, Harare, Zimbabwe
2Department of Crop Science, University of Zimbabwe, Harare, Zimbabwe
3Department of Geography and Environmental Studies, University of Zimbabwe, Harare, Zimbabwe

Received 13 April 2012; Accepted 21 May 2012

Academic Editors: M. Arias-Estévez, O. Merah, and M. A. Taboada

Copyright © 2012 Ezekia Svotwa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. D. Jackson, “Remote Sensing of Biotic and abiotic plant stress,” in Annual Review of Phytopathology, vol. 24, pp. 265–287, 1986. View at Google Scholar
  2. Ikisan.com, “CropInformation: tobacco,” 2000, http://www.ikisan.com/Crop%20Specific/Eng/links/ap_nutrients.shtml.
  3. J. A. Moran, A. K. Mitchell, G. Goodmanson, and K. A. Stockburger, “Differentiation among effects of nitrogen fertilization treatments on conifer seedlings by foliar reflectance: a comparison of methods,” Tree Physiology, vol. 20, no. 16, pp. 1113–1120, 2000. View at Google Scholar · View at Scopus
  4. M. E. Bausch, “The role of remote sensing in determining the distribution and yield of crop,” Advances in Agronomy, vol. 27, pp. 271–304, 1975. View at Publisher · View at Google Scholar
  5. N. N. Broge, M. Hvidberg, B. U. Hansen, H. S. Anderson, and A. A. Nielsen, “Analyses of spectral-biophysical relationships for a wheat canopy,” in Proceedings of the 3rd International Airborne Remote Sensing Conference and Exhibition, vol. 2, pp. 373–379, 1997.
  6. J. R. Thomas and H. W. Gausman, “Leaf reflectance versus leaf chlorophyll and carotenoid concentrations for eight crops,” Agronomy Journal, vol. 69, pp. 799–802, 1977. View at Publisher · View at Google Scholar
  7. O. Mutanga, Hyperspectral remote sensing of tropical grass quality and quantity [Ph.D. thesis], Wageningen University, The Netherlands, ITC Dissertation Number 111, 2004.
  8. S. C. Liew, “Principles of remote sensing,” Centre for Remote Imaging, Sensing and Processing, National University of Singapore, Singapore 119260, 2001, http://www.crisp.nus.edu.sg/~research/tutorial/rsmain.htm.
  9. E. B. Knipling, “Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation,” Remote Sensing of Environment, vol. 1, no. 3, pp. 155–159, 1970. View at Google Scholar · View at Scopus
  10. R. D. Jackson, P. N. Slater, and P. J. Pinter, “Discrimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheres,” Remote Sensing of Environment, vol. 13, no. 3, pp. 187–208, 1983. View at Google Scholar · View at Scopus
  11. J. U. H. Eitel, R. F. Keefe, D. S. Long, A. S. Davis, and L. A. Vierling, “Active ground optical remote sensing for improved monitoring of seedling stress in nurseries,” Sensors, vol. 10, no. 4, pp. 2843–2850, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. C. J. Tucker, “Red and photographic infrared linear combinations for monitoring vegetation,” Remote Sensing of Environment, vol. 8, no. 2, pp. 127–150, 1979. View at Google Scholar · View at Scopus
  13. E. Boegh, H. Soegaard, N. Broge et al., “Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture,” Remote Sensing of Environment, vol. 81, no. 2-3, pp. 179–193, 2002. View at Publisher · View at Google Scholar · View at Scopus
  14. G. Walburg, M. E. Baccer, C. S. T. Daughty, and T. L. Housley, “Effects of nitrogen on the growth, yield and reflectance characteristics of corn,” Agronomy Journal, vol. 74, pp. 677–683, 1982. View at Publisher · View at Google Scholar
  15. G. A. Blackburn, “Remote sensing of forest pigments using airborne imaging spectrometer and LIDAR imagery,” Remote Sensing of Environment, vol. 82, no. 2-3, pp. 311–321, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. P. J. Sellers, “Canopy reflectance, photosynthesis and transpiration.,” International Journal of Remote Sensing, vol. 6, no. 8, pp. 1335–1372, 1985. View at Google Scholar · View at Scopus
  17. S. A. Clay, C. G. Carlson, D. E. Clay et al., “Estimating nonharvested crop residue cover dynamics using remote sensing,” 2006, http://www.sdstate.edu/index/directory/directory-detail.cfm?...ci.
  18. R. T. Garvin, “Yield estimation—a tool for reducing Losses,” Zimbabwe Tobacco Today, vol. 9, no. 12, pp. 32–35, 19861986. View at Google Scholar
  19. K. P. Gallo and T. K. Flesch, “Large-area crop monitoring with the NOAA AVHRR: estimating the silking stage of corn development,” Remote Sensing of Environment, vol. 27, no. 1, pp. 73–80, 1989. View at Google Scholar · View at Scopus
  20. S. Moulin, A. Bondeau, and R. Delécolle, “Combining agricultural crop models and satellite observations: from field to regional scales,” International Journal of Remote Sensing, vol. 19, no. 6, pp. 1021–1036, 1998. View at Google Scholar · View at Scopus
  21. J. Nowatzki, R. Andres, and K. Kyllo, “Agricultural remote sensing basics,” North Dakota State University Agriculture and University Extension, 2004, http://www.ag.ndsu.edu/.
  22. T. H. Demetriades-Shah, M. D. Steven, and J. A. Clark, “High resolution derivative spectra in remote sensing,” Remote Sensing of Environment, vol. 33, no. 1, pp. 55–64, 1990. View at Google Scholar · View at Scopus
  23. J. L. Hatfield, A. A. Gitelson, J. S. Schepers, and C. L. Walthall, “Application of spectral remote sensing for agronomic decisions,” Agronomy Journal, vol. 100, no. 3, pp. S117–S131, 2008. View at Publisher · View at Google Scholar · View at Scopus
  24. S. L. Ustin, D. A. Roberts, J. A. Gamon, G. P. Asner, and R. O. Green, “Using imaging spectroscopy to study ecosystem processes and properties,” BioScience, vol. 54, no. 6, pp. 523–534, 2004. View at Google Scholar · View at Scopus
  25. C. S. T. Daughtry, C. L. Walthall, M. S. Kim, E. B. De Colstoun, and J. E. McMurtrey, “Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance,” Remote Sensing of Environment, vol. 74, no. 2, pp. 229–239, 2000. View at Publisher · View at Google Scholar · View at Scopus
  26. A. A. Gitelson, M. N. Merzlyak, and O. B. Chivkunova, “Optical properties and non destructive estimation of anthocyanin content in plant leaves,” Photochemistry and Photobiology, vol. 74, pp. 38–45, 2001. View at Publisher · View at Google Scholar
  27. D. Casanova, G. F. Epema, and J. Goudriaan, “Monitoring rice reflectance at field level for estimating biomass and LAI,” Field Crops Research, vol. 55, no. 1-2, pp. 83–92, 1998. View at Publisher · View at Google Scholar · View at Scopus
  28. F. Su, L. Fu, H. Chen, and L. Hong, “Balancing nutrient use for flue-cured tobacco,” Better Crops, vol. 90, no. 4, pp. 23–25, 2006. View at Google Scholar
  29. T. Endo, T. Okuda, M. Tamura, and Y. Yasuoka, “Estimation of photosynthetic rate of plants from hyperspectral remote sensing of biochemical content,” in Proceedings of the 21st Asian Conference on Remote Sensing (ACRS '00), Taipei, Taiwan, December 2000.
  30. J. L. Fridgen and J. J. Varco, “Dependency of Cotton Leaf Nitrogen, Chlorophyll, and Reflectance on Nitrogen and Potassium Availability,” Agronomy Journal, vol. 96, no. 1, pp. 63–69, 2004. View at Google Scholar · View at Scopus
  31. C. Yang, J. H. Everitt, and J. M. Bradford, “Using high resolution QuickBird satellite imagery for cotton yield estimation,” in ASAE Annual International Meeting 2004, pp. 893–904, can, August 2004. View at Scopus