Use of reflectance measurements for the detection of N, P, K, ADF and NDF contents in sainfoin pasture

Sensors

Volumn 8, Issue 11, 2008, Pages 7275-7286

  Albayrak, Sebahattin ^a  

^a SULEYMAN DEMIREL UNIVERSITY   (Turkey)

Author keywords

Nitrogen; Quality variables; Reflectance; Sainfoin pasture; Spectroradiometer

Indexed keywords

ACID DETERGENT FIBER; CANOPY REFLECTANCE; NEAR INFRARED WAVEBANDS; NEUTRAL DETERGENT FIBER; NON-DESTRUCTIVE PREDICTION; SAINFOIN PASTURE; SPECTRO-RADIOMETERS; STEPWISE REGRESSION;

AGRICULTURE; NITROGEN; RADIOMETERS; REFLECTOMETERS; SPECTROMETERS;

REFLECTION;

EID: 56449083179     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s8117275     Document Type: Article

References (41)

1. Daughtry, C.S.T.; Walthall, C.L.; Kim, M.S.; Colstoun, E.B.; McMurtrey, J.E.III. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sens. Environ. 2000, 74, 229-239.
2. Tarr, A.B.; Moore, K.J.; Dixon, P.M. Spectral reflectance as a covariate for estimating pasture productivity and composition. Crop Sci. 2005, 45, 996-1003.
3. Osborne, S.L.; Schepers, J.S.; Francis, D.D.; Schlemmer, M.R. Detection of phosphorus and nitrogen deficiencies in corn using spectral radiance measurements. Agron. J. 2002, 94, 1215-1221.
4. Xu, H.R.; Ying, Y.B.; Fu, X.P.; Zhu, S.P. Near-infrared spectroscopy in detecting leaf miner damage on tomato leaf. Biosyst. Eng. 2007, 96, 447-454.
5. Al-Abbas, A.H.; Barr, R.; Hall, J.D.; Crane, F.L. Baumgardner MF. Spectra of normal and nutrient-deficient maize leaves. Agron. J. 1974, 66, 16-20.
6. Thomas, J.R.; Oerther, G.F. Generic combustion method for determination of crude protein in feeds: Collaborative study. J Assoc. Off Anal. Chem. 1972, 72, 770-774.
7. Ponzoni, F.J.; Goncalves, J.L. Spectral features associated with nitrogen, phosphorous, and potassium deficiencies in Eucalyptus saligna seedling leaves. Int. J. Remote Sens. 1999, 20, 2249-2264.
8. Mutanga, O.; Skidmore, A.K.; Prins, H.H.T. Predicting in situ pasture quality in the Kruger National Park, South Africa, using continuum-removed absorption features. Remote Sens. Environ. 2004, 89, 393-408.
9. Salisbury, F.B.; Ross, C.W. Plant physiology; Wadsworth Publishing: Belmont, CA, 1985.
10. Curran, P.J. Remote sensing of foliar chemistry. Remote Sens. Environ. 1989, 30, 271-278.
11. Everitt, J.H.; Richardson, A.J.; Gausman, H.V. Leaf reflectance nitrogen chlorophyll relations in buffelgrass. Photogramm. Eng. Remote Sens. 1985, 51, 463-466.
12. Lamb, D.W.; Steyn-Ross, M.; Schaare, P.; Hana, M.M.; Silvester, W.; Steyn-Coss, A. Estimating leaf nitrogen concentration in ryegrass (Lolium spp.) pasture using the chlorophyll red-edge: Theoretical modeling and experimental observations. Int. J. Remote Sens. 2002, 23, 3619-3648.
13. Starks, P.J.; Coleman, S.W.; Philips, W.A. Determination of forage chemical composition using remote sensing. J. Range Manage. 2004, 57, 635-640.
14. Zhao, D.; Reddy, K.R.; Kakani, V.G.; Read, J.J.; Koti, S. Canopy reflectance in cotton for growth assessment and lint yield prediction. Europ. J. Agron. 2007, 26, 335-344.
15. Rowell, D.R. Soil Science: Methods and Applications; Longman: Harlow; Prentice Hall Inc.: New Jersey, US, 1996.
16. Kacar, B.; and İnal, A. Bitki Analizleri; Nobel Yayinlan: Ankara, Turkey, 2008; 1241.
17. th edition; Helrich, K. Ed.; AOAC Inc.: Arlington, VA, USA, 1990.
18. SAS Institute. INC SAS/STAT users' guide release 7.0; STATS Publishing Inc.: Cary, NC, USA, 1998.
19. Karsli, M.A.; Denek, N.; Deniz, S.; Gündüz, A.S. Evaluation of Nutritive Value of Forages Grown around Van Lake. YYÜ. Vet. Fak. Derg 2002, 13, 25-30.
20. Parker, R.J; Moss, B.R. Nutritional Value of Sainfoin Hay Compared with Alfalfa Hay. J. Dairy Sci. 1981, 64, 206-210.
21. Starks, P.J.; Zhao, D.; Phillips, W.A.; Coleman, S.W. Development of canopy reflectance algorithms for real-time prediction of bermudagrass pasture biomass and nutritive values. Crop Sci. 2006, 46, 927-934.
22. Gamon, J.A.; Field, C.B.; Goulden, M.L.; Griffin, K.L.; Hartley, A.E.; Joel, G.; Penuelas, J.; Valentini, R. Relationship between NDVI, canopy structure and photosynthesis in three California vegetation types. Ecol. Appl. 1995, 5, 28-41.
23. Penuelas, J.; Filella, I. Visible and near-infreared reflectance techniques for diagnosing plant physiological status. Trends Plant Sci. 1998, 3, 151-156.
24. Starks, P.J.; Zhao, D.; Phillips, W.A.; Coleman, S.W. Herbage mass, nutritive value and canopy spectral reflectance of bermudagrass pastures, Grass Forage Sci. 2006, 61, 101-111.
25. Aase, J.K.; Tanaka, D.L. Effects of tillage practices on soil and wheat spectral reflectance. Agron. J. 1984, 76, 814-818.
26. Stone, M.L.; Solie, J.B; Raun, W.R.; Whitney, R.W.; Taylor, S.L.; Ringer, J.D. Use of spectral radiance for correcting in-season fertilizer nitrogen deficiencies in winter wheat. Trans. ASAE 1996, 39, 623-1631.
27. Park, D.M.; Cisar, J.L.; Williams, K.E.; McDermitt, D.K.; Miller, W.P.; Fidanza, M.A. Using spectral reflectance to document water stress in bermudagrass grown on water repellent sandy soils. Hydrol. Proc. 2007, 27, 2385-2389.
28. Xu, H.R.; Ying, Y.B.; Fu, X.P.; Zhu, S.P. Near-infrared spectroscopy in detecting leaf miner damage on tomato leaf. Biosys. Eng. 2007, 96, 447-454.
29. Blackmer, T.M.; Schepers, J.S.; Varvel, G.E.; Walter-Shea, E.A. Nitrogen deficiency detection using reflected shortwave radiation from irrigated corn canopies. Agron. J. 1996, 55, 1-5.
30. Başayiǧit, L.; Albayrak, S. The use of the reflectance measurement to predict the N, P and K content of wollypod vetch under different N,P and K fertilization. Asian J. Chem. 2007, 19, 5609-5619.
31. Bausch, W.C.; Land, D.M.; Blue, M.C. Robotic data acquisition of directional reflectance factors. Remote Sens. Environ. 1990, 30, 159-168.
32. Duggin, M.J. The field measurement of reflectance factors: Photogram. Eng. Remote Sens. 1980, 46, 643-647.
33. Hinzman, L.D.; Bauer, M.E.; Daughtry, C.S.T. Effects of nitrogen fertilization on growth and reflectance characteristics of winter wheat. Remote Sens. Environ. 1986, 19, 47-61.
34. Diker, K.; Bausch, W.C. Potential use of nitrogen reflectance index to estimate plant parameters and yield of maize. Biosys. Eng. 2003, 55, 437-447.
35. Shanahan, J.F.; Schepers, J.S.; Francis, D.D.; Varvel, G.E.; Wilhelm, W.W.; Tringe, J.M.; Schemmer, M.R.; Major, D.J. Use of remote imagery to estimate corn grain yield. Agron. J. 2001, 93, 583-589.
36. Curran, P. J.; Dungan, J.L.; Peterson, D.L. Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: Testing the Kokaly and Clark methodologies. Remote Sens. Environ. 2001, 76, 349-359.
37. Kokaly, R.F.; Despain, D.G.; Clark, R.N.; Livo, K.E. Mapping vegetation in Yellowstone National Park using spectral feature analysis of AVIRIS data. Remote Sens. Environ. 2003, 84, 437-456.
38. Martin, M.E.; Aber, J.D. High resolution remote sensing of forest canopy lignin, nitrogen and ecosystem process. Ecol. Appl. 1997, 7, 431-443.
39. Serrano, L.; Penuelas, J.; Ustin, S. Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals. Remote Sens. Environ. 2002, 81, 355-364.
40. Katz, J.J.; Dougherty, R.C.; Boucher, L.J. Infrared and nuclear magnetic resonance spectroscopy of chlorophyll. In The chlorophylls; L. P. Vernon and G. R. Seely, Eds.; Academic Press: New York, US, 1966; pp. 186-249.
41. Zhao, D.; Reddy, K.R.; Kakani, V.G.; Reddy, V.R. Nitrogen deficiency effects on plant growth, leaf photosynthesis, and hyperspectral reflectance properties of sorghum. Eur. J. Agron. 2005, 22, 391-403.