Abstract
A crucial part of any site-specific management is the identification of causes of yield variability and assessment of crop requirements. Therefore, relationships between yield and soil properties must be identified. In this study, relationships between sorghum yield and soil properties on a verbosols within a field located in Moree, in northern NSW, Australia, were examined. Measured soil properties included pH; available phosphorus; percent clay, silt and sand; gravimetric moisture content of air-dry soil and at matric potentials corresponding to −1 500 kPa and −33 kPa; percent organic carbon; CEC and exchangeable calcium, magnesium, sodium and potassium and copper, zinc, manganese and iron contents. The exchangeable sodium percentage (ESP) and the Ca/Mg ratio were calculated. We used a number of empirical methods and found that neural networks, projection pursuit regression, generalized additive models and regression trees are good techniques for modeling yield response. However, further comparison of these techniques is needed. By modeling yield response to individual soil properties and using kriging to map yields predicted from these models, it was possible to identify which soil properties limited production in different areas of the field.
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B. Acock and Y. A. Pachepsky, in Precision Agriculture '97 Volume I: Spatial Variability in Soil and Crop, edited by J. V. Stafford (BIOS Scientific Publishers Ltd., Oxford, 1997), p. 397.
V. Barnett, S. Landau, J. J. Colls, J. Craigon, R. A. C. Mitchell, and R. W. Payne, in Precision Agriculture: Spatial and Temporal Variability of Environmental Quality, edited by J. V. Lake, G. R. Bock, and J. A. Goode (John Wiley & Sons, Chichester, 1997), p. 79.
G. W. Buchleiter, W. C. Bausch, H. R. Duke, and D. F. Heermann, in Precision Agriculture '97 Volume I: Spatial Variability in Soil and Crop, edited by J. V. Stafford (BIOS Scientific Publishers Ltd., Oxford, 1997), p. 351.
C. A. Cambardella, T. S. Colvin, D. L. Karlen, S. D. Logsdon, E. C. Berry, J. K. Radke, T. C. Kaspar, T. B. Parkin, and D. B. Jaynes, in Proceedings of the Third International Conference on Precision Agriculture, edited by P. C. Robert, R. H. Rust, and W. E. Larson (ASA, CSSA, SSSA, Madison, 1996), p. 189.
C. Daniel and F. S. Wood, Fitting Equations to Data (Wiley-Interscience, New York, 1971), p. 86.
P. R. Day, Soil Science Society of America Proceedings 35, 54 (1956).
J. H. Friedman and W. Stuetzle, Journal of the American Statistical Association 76, 817 (1981).
W. H. Gardner, in Methods of Soil Analysis: Part 1—Physical and Mineralogical Methods (2nd edn.), edited by A. Klute (Soil Science Society of America Inc, Madison, 1986), p. 493.
T. J. Hastie, in Statistical Models in S, edited by J. M. Chambers and T. J. Hastie (Wadsworth and Brooks/Cole Advanced Books and Software, California, 1992), p. 249.
T. J. Hastie and R. J. Tibshirani, Generalized Additive Models (Chapman and Hall, London, 1996), Chapter 6.
R. F. Isbell, The Australian Soil Classification (CSIRO Publishing, Melbourne, 1996), p. 102.
A. P. Mallarino, P. N. Hinz, and E. S. Oyarzabal, in Proceedings of the Third International Conference on Precision Agriculture, edited by P. C. Robert, R. H. Rust, and W. E. Larson (ASA, CSSA, SSSA, Madison, 1996), p. 151.
W. C. Mayaki, L. R. Stone, and I. D. Teare, Agronomy Journal 68, 532 (1976).
A. B. McBratney and M. J. Pringle, in Precision Agriculture '97 Volume I: Spatial Variability in Soil and Crop, edited by J. V. Stafford (BIOS Scientific Publishers Ltd., Oxford, 1997), p. 3.
A. B. McBratney, B. M. Whelan, and T. M. Shatar, in Precision Agriculture: Spatial and Temporal Variability of Environmental Quality, edited by J. V. Lake, G. R. Bock, and J. A. Goode (John Wiley & Sons, Chichester, 1997), p 141.
M. Moore, in Proceedings of the Seminar on Site Specific Farming, S. E. Olesen (Ed.) (Danish Institute of Plant and Soil Science, Tjele, 1995), p. 123.
Y. A. Pachepsky, D. Timlin, and G. Varallyay, Soil Science Society of America Journal 60, 727 (1996).
S. Pocknee, B. C. Boydell, H. M. Green, D. J. Waters, and C. K. Kvien, in Proceedings of the Third International Conference on Precision Agriculture, edited by P. C. Robert, R. H. Rust, and W. E. Larson (ASA, CSSA, SSSA, Madison, 1996), p. 159.
G. E. Rayment and F. R. Higginson, Australian Laboratory Handbook of Soil and Water Chemical Methods (Inkata Press, Melbourne, 1992).
Statistical Sciences, S-Plus Guide to Statistical and Mathematical Analysis (Statsci, Seattle, 1995).
K. A. Sudduth, S. T. Drummond, S. J. Birrell, and N. R. Kitchen, in Proceedings of the Third International Conference on Precision Agriculture, edited by P. C. Robert, R. H. Rust, and W. E. Larson (ASA, CSSA, SSSA, Madison, 1996), p. 129.
K. A. Sudduth, S. T. Drummond, S. J. Birrell, and N. R. Kitchen, in Precision Agriculture '97 Volume I: Spatial Variability in Soil and Crop, edited by J. V. Stafford (BIOS Scientific Publishers Ltd, Oxford, 1997), p. 439.
W. N. Venables and B. D. Ripley, Modern Applied Statistics with S-Plus (Springer-Verlag, New York, 1994), Chapters 10 and 13.
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Shatar, T.M., Mcbratney, A.B. Empirical Modeling of Relationships Between Sorghum Yield and Soil Properties. Precision Agriculture 1, 249–276 (1999). https://doi.org/10.1023/A:1009968907612
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DOI: https://doi.org/10.1023/A:1009968907612