Defining yield-based management zones for corn-soybean rotations

Agronomy Journal

Volumn 97, Issue 4, 2005, Pages 1115-1128

  Brock, A ^a   Brouder, S M ^a   Blumhoff, G ^a   Hofmann, B S ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; DATA ACQUISITION; ENTROPY; OPTIMIZATION;

CORN-SOYBEAN ROTATIONS; FUZZINESS PERFORMANCE INDEX (FPI); MANAGEMENT ZONES (MZ); NORMALIZATION CLASSIFICATION ENTROPY (NCE);

CROPS;

COMPUTER PROGRAMS; DATA PROCESSING; ENTROPY; FARM CROPS; OPTIMIZATION;

GLYCINE MAX; ZEA MAYS;

EID: 23744513291     PISSN: 00021962     EISSN: None     Source Type: Journal    
DOI: 10.2134/agronj2004.0220     Document Type: Article

References (26)

1. Atherton, B.C., M.T. Morgan, S.A. Shearer, T.S. Stombaugh, and A.D. Ward. 1999. Site-specific farming: A perspective on information needs, benefits and limitations. J. Soil Water Conserv. 51: 66-71.
2. Afifi, A.A., and V. Clark. 1984. Computer-aided multivariate analysis. Lifetime Learning Publ., Belmont, CA.
3. Bezdek, J.C. 1981. Pattern recognition with fuzzy objective function algorithms. Plenum Press, New York.
4. Bianchini, A.A., and A.P. Mallarino. 2002. Soil-sampling alternatives and variable-rate liming for soybean-corn rotation. Agron. J. 94:1355-1366.
5. Boydell, B., and A.B. McBratney. 2002. Identifying potential within-field management zones from cotton-yield estimates. Precis. Agric. 3:9-23.
6. Burrough, P.A. 1989. Fuzzy mathematical methods for soil survey and land evaluation. J. Soil Sci. 40:477-492.
7. Devore, J.L. 2000. Probability and statistics for engineering and the sciences. 5th ed. Duxbury, Pacific Grove, CA.
8. Environmental Systems Research Institute. 1999. ArcView GIS Release 3.2. ESRI, Redlands, CA.
9. Evans, R.O., and N.R. Fausey. 1999. Effects on inadequate drainage on crop growth and yield. p. 13-54. In R.W. Skaggs and J. van Schilfgaarde (ed.) Agricultural drainage. Agron. Monogr. 38. ASA, Madison, WI.
10. Fraisse, C.W., K.A. Sudduth, and N.R. Kitchen. 2001. Delineation of site-specific management zones by unsupervised classification of topographic attributes and soil electrical conductivity. Trans. ASAE 44:155-166.
11. Franzen, D.W., D.H. Hopkins, M.D. Sweeney, M.K. Ulmer, and A.D. Halvorson. 2002. Evaluation of soil survey scale for zone development of site-specific nitrogen management. Agron. J. 94:381-389.
12. Fridgen, J.J. 2000. Development and evaluation of unsupervised clustering software for sub-field delineation of agricultural fields. M.S. thesis. Univ. of Missouri, Columbia.
13. Fridgen, J.J., N.R. Kitchen, K.A. Sudduth, S.T. Drummond, W.J. Wiebold, and C.W. Fraisse. 2004. Management Zone Analyst (MZA): Software for subfield management zone delineation. Agron. J. 96: 100-108.
14. Jaynes, D.B., and T.S. Colvin. 1997. Spatiotemporal variability of corn and soybean yield. Agron. J. 89:30-37.
15. Jaynes, D.B., T.C. Kaspar, T.S. Colvin, and D.E. James. 2003. Cluster analysis of spatiotemporal yield patterns in an Iowa field. Agron. J. 95:574-586.
16. Lamb, J.A., R.H. Dowdy, J.L. Anderson, and G.W. Rehm. 1997. Spatial and temporal stability of corn grain yields. J. Prod. Agric. 10:410-414.
17. Lark, R.M., and J.V. Stafford. 1997. Classification as a first step in the interpretation of temporal and spatial variation of crop yield. Ann. Appl. Biol. 130:111-121.
18. Mausbach, M.J., D.J. Lytle, and L.D. Spivey. 1993. Application of soil survey information to soil specific farming. p. 57-68. In P.C. Robert et al. (ed.) Soil specific crop management. ASA, CSSA, and SSSA, Madison, WI.
19. McBratney, A.B., and A.W. Moore. 1985. Application of fuzzy sets to climatic classification. Agric. For. Meteorol. 35:165-185.
20. Mueller, T.G., F.J. Pierce, O. Schabenberger, and D.D. Warncke. 2001. Map quality for site-specific fertility management. Soil Sci. Soc. Am. J. 65:1547-1558.
21. Neely, T. 1987. Soil survey of Randolph County, Indiana. USDA-SCS in cooperation with Purdue University Agric. Exp. Stn. and Indiana Dep. of Natural Resources, Soil and Water Conservation Committee. USDA, Washington, DC.
22. SAS Institute. 2000. SAS OnlineDoc. Version 8. SAS Inst., Cary, NC.
23. Odeh, I.O.A., A.B. McBratney, and D.J. Chittleborough. 1992. Soil pattern recognition with fuzzy-c-means: Application to classification and soil-landform interrelationships. Soil Sci. Soc. Am. J. 56:505-516.
24. Stafford, J.V., R.M. Lark, and H.C. Bolam. 1998. Using yield maps to regionalize fields into potential management units. p. 225-237. In P.C. Robert et al. (ed.) Proc. Int. Conf. on Precision Agric., 4th, St. Paul, MN. 19-22 July 1998. ASA, CSSA, and SSSA, Madison, WI.
25. Stokes, M.E., C.S. Davis, and G.G. Koch. 2000. Categorical data analysis using the SAS System. 2nd ed. SAS Inst., Cary, NC.
26. Vitosh, M.L., J.W. Johnson, and D.B. Mengel. (ed.) 1996. Tri-state fertilizer recommendations for corn, soybeans, wheat, and alfalfa. Ext. Bull. E-2567. Michigan State Univ. Ext., East Lansing.