Mehlich 3 extractable nutrients as determined by near-infrared reflectance spectroscopy

Canadian Journal of Soil Science

Volumn 89, Issue 5, 2009, Pages 579-587

  Nduwamungu, Cargèle ^a   Ziadi, Noura ^a   Parent, Léon Étienne ^b   Tremblay, Gaëtan F ^a  

^a AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^b UNIVERSITÉ LAVAL   (Canada)

Author keywords

Calibration; Mehlich 3; Near infrared reflectance spectroscopy; Soil analysis

Indexed keywords

ACCURACY ASSESSMENT; CALIBRATION; CLAY SOIL; COST-BENEFIT ANALYSIS; GLEYSOL; NEAR INFRARED; PH; REGRESSION ANALYSIS; SOIL ANALYSIS; SOIL MANAGEMENT; SOIL NUTRIENT; SOIL TEXTURE; SPECTROSCOPY; TRACE ELEMENT;

EID: 70350497342     PISSN: 00084271     EISSN: None     Source Type: Journal    
DOI: 10.4141/CJSS09018     Document Type: Article

References (33)

1. Barnes, R. J., Dhanoa, M. S. and Lister, S. J. 1989. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl. Spectrosc. 43: 772-777.
2. Brunet, D., Barthés, B. G., Chotte, J.-L. and Feller, C. 2007. Determination of carbon and nitrogen contents in Alfisols, Oxisols and Ultisols from Africa and Brazil using NIRS analysis: Effects of sample grinding and set heterogeneity. Geoderma 139: 106-117.
3. Bullock, P. R., Li, X. and Leonardi, L. 2004. Near-infrared spectroscopy for soil water determination in small soil volumes. Can. J. Soil Sci. 84: 333-338.
4. Chang, C-W., Laird, D. A., Mausbach, M. J. and Hurburgh, Jr., C. R. 2001. Near-infrared reflectance spectroscopy - principal components regression analyses of soil properties. Soil Sci. Soc. Am. J. 65: 480-490.
5. Coûteaux, M.-M., Berg, B. and Rovira, P. 2003. Near infrared reflectance spectroscopy for determination of organic matter fractions including microbial biomass in coniferous forest soils. Soil Biol. Biochem. 35: 1587-1600.
6. CRAAQ. 2003. Guide de référence en fertilisation. 1st ed. Centre de référence en agriculture et agroalimentaire du Québec, QC.
7. Dardenne, P., Sinnaeve, G. and Baeten, V. 2000. Multivariate calibration and chemometrics for near infrared spectroscopy: which method? J. Near Infrared Spectrosc. 8: 229-237.
8. Dunn, B. W., Beecher, H. G., Batten, G. D. and Ciavarella, S. 2002. The potential of near-infrared reflectance spectroscopy for soil analysis - a case study from the Riverine plain of south-eastern Australia. Aust. J. Exp. Agric. 42: 607-614.
9. Foley, W. J., McIlwee, A., Lawler, I., Aragones, L., Woolnough, A. P. and Berding, N. 1998. Ecological applications of near infrared reflectance spectroscopy - a tool for rapid, costeffective prediction of the composition of plant and animal tissues and aspects of animal performance. Oecologia 116: 293-305.
10. Havlin, J. L., Beaton, J. D., Tisdale, S. L. and Nelson, W. L. 1999. Soil fertility and fertilizers; An introduction to nutrient management. Prentice Hall Inc., Upper Saddle River, NJ.
11. Infrasoft International, LLC. 2002. ISI windows near-infrared software WinISI III manual-version 1.50e. Foss Tecator AB, Höganäs, Sweden.
12. Islam, K., Singh, B. and McBratney, A. 2003. Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy. Aust. J. Soil Res. 43: 1101-1114.
13. Khiari, L., Parent, L.-E., Pellerin, A., Alimi, A. R. A., Tremblay, C., Simard, R. R. and Fortin, J. 2000. An agri-environmental phosphorus saturation index for acid coarsetextured soils. J. Environ. Qual. 29: 1561-1567.
14. Ludwig, B. and Khanna, P. K. 2000. Use of near infrared spectroscopy to determine inorganic and organic carbon fractions in soil and litter. Pages 361-370 in R. Lal, J. M. Kimble, R. F. Follett, and B. A. Stewart, eds. Assessment methods for soil carbon. Advances in soil science. Lewis Publishers, Boca Raton, FL.
15. Ludwig, B., Khanna, P. K., Bauhus, J. and Hopmans, P. 2002. Near infrared spectroscopy of forest soils to determine chemical and biological properties related to soil sustainability. For. Ecol. Manage. 171: 121-132.
16. Malley, D. F., Martin, P. D. and Ben-Dor, E. 2004. Application in analysis of soils. Pages 729-784 in C. A. Roberts, J. Workman Jr. and J. B. III Reeves, eds. Near-infrared spectroscopy in agriculture. ASA, CSSA, SSSA, Madison, WI.
17. Martens, H. and Naes, T. 1987. Multivariate calibration by data compression. Pages 57-87 in P. Williams and K. Norris, eds. Near-infrared technology in the agricultural and food industries. 1st ed. American Association of Cereal Chemists, Inc., St. Paul, MN.
18. Mehlich, A. 1984. Mehlich 3 soil test extractant: A modification of Mehlich 2 extractant. Commun. Soil Sci. Plant Anal. 15: 1409-1416.
19. Miner, G. S., Traore, S. and Tucker, M. R. 1986. Corn response to starter fertilizer acidity and manganese materials varying in water solubility. Agron. J. 78: 291-295.
20. Nduwamungu, C., Ziadi, N., Tremblay, G. F. and Parent, L.-E. 2009. Near-infrared reflectance spectroscopy prediction of soil properties: Effects of sample cups and preparation. Soil Sci. Soc. Am. J. 73: 1896-1903.
21. Owen, J., LeBlanc, S., Toner, P., Nduwamungu, C. and Fava, E. 2008. Evaluation of fresh and aged clam processing wastes as potential agricultural liming materials for coastal area vegetable production soils. Can. J. Soil Sci. 88: 559-569.
22. Reeves, J. B., III, McCarty, G. W. and Meisinger, J. J. 2000. Near infrared reflectance spectroscopy for the determination of biological activity in agricultural soils. J. Near Infrared Spectrosc. 8: 161-170.
23. 2O emissions in soils of contrasting textures fertilized with anhydrous ammonia. Can. J. Soil Sci. 84: 339-352.
24. SPSS Inc. 2002. Statistical package for social sciences (SPSS) version 11.5 for windows, Chicago, IL.
25. SYSTAT 2004. SigmaPlot-Exact graphs for exact science. SYSTAT Software Inc., Richmond, CA.
26. Terhoeven-Urselmans, T., Michel, K., Helfrich, M., Flessa, H. and Ludwig, B. 2006. Near-infrared spectroscopy can predict the composition of organic matter in soil and litter. J. Plant Nutr. Soil Sci. 169: 168-174.
27. Udelhoven, T., Emmerling, C. and Jarmer, T. 2003. Quantitative analysis of soil chemical properties with diffuse reflectance spectroscopy and partial least-square regression: A feasibility study. Plant Soil 251: 319-329.
28. Van Vuuren, J. A. J., Meyer, J. H. and Claassens, A. S. 2006. Potential use of near infrared reflectance monitoring in precision agriculture. Commun. Soil Sci. Plan. 37: 2171-2184.
29. Van Waes, C., Mestdagh, I., Lootens, P. and Carlier, L. 2005. Possibilities of near infrared reflectance spectroscopy for the prediction of organic carbon concentrations in grassland soils. J. Agric. Sci. 143: 487-492.
30. Viscarra Rossel, R. A., Walvoort, D. J. J., McBratney, A. B., Janik, L. J. and Skjemstad, J. O. 2006. Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma 131: 59-75.
31. Williams, P. C. 2001. Implementation of near-infrared technology. Pages 145-169 in P. Williams and K. Norris, eds. Near-infrared technology in the agriculture and food industries. 2nd ed. American Association of Cereal Chemists, St. Paul, MN.
32. Wolf, B. 1999. The fertile triangle - The interelationship of air, water, and nutrients in maximizing soil productivity. Food Products Press, Binghamton, NY.
33. Ziadi, N and Tran, T. Sen. 2007. Mehlich 3 extractable elements. Pages 81-88. in E. G. Gregorich and M. R. Carter, eds. Soil sampling and methods of analysis. 2nd ed. Canadian Society of Soil Science. Lewis Publishers, Boca Raton, FL.