Evaluating Soil Color with Farmer Input and Apparent Soil Electrical Conductivity for Management Zone Delineation

Variable rate fertilizer application technology (VRT) can provide an opportunity to more efficiently utilize fertilizer inputs; however, accurate prescription maps are essential. Researchers and farmers have understood the value of dividing whole fields into smaller, homogeneous regions or management zones for fertility management. Management zones can be defined as spatially homogeneous subregions within a field that have similar crop input needs. Delineating management zones that characterize the spatial variability within a field may provide effective prescription, maps for VRT. The objective of this research was to compare and evaluate management zones developed from soil color (SC) and farmer experience with management zones developed from apparent electrical conductivity (EC a ). These two methods of developing management zones were compared with soil nutrient levels, texture, and crop yields collected on two fields in 1997. The soil and yield parameters followed the trends indicated by both management zone methods at Field 1 with the highest values found in the high productivity zones and the lowest the low productivity zones. Significant differences were found among the management zones. However, at Field 2 the high and medium productivity zones were generally not significantly different using the SC approach, whereas the EC a approach was effective in identifying three distinct management zones. Both methods of developing management zones seem to be identifying homogeneous subregions within fields.

[1]  Soil Sampling for Site-Specific Nitrogen Management , 1996 .

[2]  Clyde W. Fraisse,et al.  Management Zone Analyst (MZA) , 2004, Agronomy Journal.

[3]  D. Westfall,et al.  Evaluating Farmer Defined Management Zone Maps for Variable Rate Fertilizer Application , 2000, Precision Agriculture.

[4]  Charles D. Bonham,et al.  Influence of spatial autocorrelation on a fixed-effect model used to evaluate treatment of oil spills , 1999, Appl. Math. Comput..

[5]  William L. Pan,et al.  Assessment of Spatially Variable Nitrogen Fertilizer Management in Winter Wheat , 1994 .

[6]  S. Smith,et al.  Quantifying organic matter degradation in agricultural fields using PC-based image analysis , 1988 .

[7]  I. Ohlsson.  Book reviewSite-specific management for agricultural systems: P.C. Robert, R.H. Rust and W.E. Larson (Editors). American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Madison, WI, 1995. ISBN 0-89118-127-X, Paperback, 993 pp., US$ 39 , 1996 .

[8]  Kenneth A. Sudduth,et al.  Soil Electrical Conductivity as a Crop Productivity Measure for Claypan Soils , 1999 .

[9]  David W. Franzen,et al.  Evaluation of Soil Survey Scale for Zone Development of Site-Specific Nitrogen Management , 2002 .

[10]  P. C. Robert,et al.  Using Decision Cases to Enhance Technology Transfer in Precision Agriculture , 1996 .

[11]  Bg Williams,et al.  The use of electromagnetic induction to detect the spatial variability of the salt and clay contents of soils , 1987 .

[12]  J. D. Rhoades,et al.  Assessing Soil Salinity and Identifying Potential Saline-Seep Areas with Field Soil Resistance Measurements 1 , 1974 .

[13]  P. Moran.  Notes on continuous stochastic phenomena. , 1950, Biometrika.

[14]  G. A. Nielsen,et al.  Farming Soils, Not Fields: A Strategy for Increasing Fertilizer Profitability , 1991 .

[15]  J. Sawyer.  Concepts of Variable Rate Technology with Considerations for Fertilizer Application , 1994 .

[16]  C. Fraisse,et al.  Management Zone Analyst ( MZA ) : Software for Subfield Management Zone Delineation , 2003 .

[17]  R. Mcbride,et al.  Estimating Forest Soil Quality from Terrain Measurements of Apparent Electrical Conductivity , 1990 .

[18]  Kent M. Eskridge,et al.  Field-scale electrical conductivity mapping for delineating soil condition , 2001 .

[19]  I. J. Van Wesenbeeck,et al.  ESTIMATING SPATIAL VARIATIONS OF SOIL WATER CONTENT USING NONCONTACTING ELECTROMAGNETIC INDUCTIVE METHODS , 1988 .

[20]  Dennis L. Corwin,et al.  Determining Soil Electrical Conductivity-Depth Relations Using an Inductive Electromagnetic Soil Conductivity Meter1 , 1981 .

[21]  David Lamb,et al.  PA—Precision Agriculture: Remote-Sensing and Mapping of Weeds in Crops , 2001 .

[22]  L. West,et al.  Field-Scale Mapping of Surface Soil Organic Carbon Using Remotely Sensed Imagery , 2000 .

[23]  Cynthia A. Cambardella,et al.  Estimating Herbicide Partition Coefficients from Electromagnetic Induction Measurements , 1995 .

[24]  D. Mulla,et al.  Estimation of soil properties and wheat yields on complex eroded hills using geostatistics and thematic mapper images , 1991 .

[25]  John Stafford,et al.  Spatial variability in soil and crop , 1997 .