Relationship between cotton yield and soil electrical conductivity, topography, and Landsat imagery

Precision Agriculture

Volumn 13, Issue 6, 2012, Pages 678-692

  Guo, Wenxuan ^a   Maas, Stephan J ^b   Bronson, Kevin F ^c  

^a South Plains Precision Ag   (United States)

^b TEXAS TECH UNIVERSITY   (United States)

^c AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Apparent electrical conductivity; Bare soil brightness; Remote sensing; Topography; Yield monitor

Indexed keywords

BARE SOIL; CLAY; COTTON; CROP YIELD; ELECTRICAL CONDUCTIVITY; FERTILIZER APPLICATION; GROWING SEASON; LANDSAT; PRECISION AGRICULTURE; SATELLITE IMAGERY; SOIL PROPERTY; SPATIOTEMPORAL ANALYSIS; TOPOGRAPHIC EFFECT;

TEXAS; UNITED STATES;

GOSSYPIUM HIRSUTUM;

EID: 84868618848     PISSN: 13852256     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11119-012-9277-2     Document Type: Article

References (43)

1. Allen, V. G., Baker, M. T., Segarra, E., & Brown, C. P. (2007). Integrated irrigated crop-livestock systems in dry climates. Agronomy Journal, 99(2), 346-360.
2. Barnes, E. M., & Baker, M. G. (2000). Multispectral data for mapping soil texture: Possibilities and limitations. Applied Engineering in Agriculture, 16(6), 731-741.
3. Bowers, S. A., & Hanks, R. J. (1965). Reflectance of radiant energy from soils. Soil Science, 100(2), 130-138.
4. Bronson, K. F., Booker, J. D., Bordovsky, J. P., Keeling, J. W., Wheeler, T. A., Boman, R. K., et al. (2006). Site-specific irrigation and nitrogen management for cotton production in the Southern High Plains. Agronomy Journal, 98(1), 212-219.
5. Bronson, K. F., Booker, J. D., Officer, S. J., Lascano, R. J., Maas, S. J., Searcy, S. W., et al. (2005). Apparent electrical conductivity, soil properties and spatial covariance in the U. S. Southern High Plains. Precision Agriculture, 6(3), 297-311.
6. Bronson, K. F., Keeling, J. W., Booker, J. D., Chua, T. T., Wheeler, T. A., Boman, R. K., et al. (2003). Influence of landscape position, soil series, and phosphorus fertilizer on cotton lint yield. Agronomy Journal, 95(4), 949-957.
7. Clay, D. E., Change, J., Malo, D. D., Carlson, C. G., Reese, C., Clay, S. A., et al. (2001). Factors influencing spatial variability of soil apparent electrical conductivity. Communications in Soil Science and Plant Analysis, 32(19-20), 2993-3008.
8. Corwin, D. L., & Lesch, S. M. (2005). Apparent electrical conductivity measurement in agriculture. Computer and Electronics in Agriculture, 46(1), 11-43.
9. Corwin, D. L., Lesch, S. M., Shouse, P. J., Soppe, R., & Ayars, J. E. (2003). Identifying soil properties that influence cotton yield using soil sampling directed by apparent soil electrical conductivity. Agronomy Journal, 95(2), 352-364.
10. Dobermann, A., Ping, J. L., Adamchuk, V. I., Simbahan, G. C., & Ferguson, R. B. (2003). Classification of crop yield variability in irrigated production fields. Agronomy Journal, 95(5), 1105-1120.
11. Ebeid, M. M., Lal, R., Hall, G. F., & Miller, E. (1995). Erosion effects on soil properties and soybean yield on Miamian soil in western Ohio in a season below normal rainfall. Soil Technology, 8(2), 97-108.
12. Gee, G. W., & Bauder, J. W. (1986). Particle size analysis. In A. Klute (Ed.), Methods of soil analysis, part 1: Physical and mineralogical methods (pp. 383-412). Madison: Soil Science Society of America.
13. Gerrard, J. (2000). Fundamentals of soils. London: Routledge.
14. Hanna, A. Y., Harlan, P. W., & Lewis, D. T. (1982). Soil available water as influenced by landscape position and aspect. Agronomy Journal, 74(6), 999-1004.
15. Iqbal, J., Read, J. J., Thomasson, A. J., & Jenkins, J. N. (2005). Relationships between soil-landscape and dryland cotton lint yield. Soil Science Society of America Journal, 69(3), 872-882.
16. Jaynes, D. B., Colvin, T. S., & Ambuel, J. (1995). Yield mapping by electromagnetic induction. In P. C. Robert, R. H. Rust, & W. E. Larson (Eds.), Proceedings of the 2nd international conference on site-specific management for agricultural systems (pp. 383-394). Madison: ASA, CSSA, and SSSA.
17. Johnson, R. A., & Wichern, D. W. (1999). Applied multivariate statistical analysis. Upper Saddle River: Prentice Hall.
18. Jowkin, V., & Schoenau, J. J. (1998). Impact of tillage and landscape position on nitrogen availability and yield of spring wheat in the Brown soil zone in southwestern Saskatchewan. Canadian Journal of Soil Science, 78(3), 563-572.
19. Kaspar, T. C., Colvin, T. S., Jaynes, D. B., Karlen, D. L., James, D. E., Meek, D. W., et al. (2003). Relationship between six years of corn yields and terrain attributes. Precision Agriculture, 4(1), 87-101.
20. Kosmas, C. S., Danalatos, N. G., Moustakas, N., Tsatiris, B., Kallianou, C., & Yassoglou, N. (1993). The impacts of parent material and landscape position on drought and biomass production of wheat under semi-arid conditions. Soil Technology, 6(4), 337-349.
21. Kravchenko, A. N., & Bullock, D. G. (2000). Correlation of corn and soybean grain yield with topography and soil properties. Agronomy Journal, 92(1), 75-83.
22. Kravchenko, A. N., & Bullock, D. G. (2002). Spatial variability of soybean quality data as a function of field topography: I. Spatial data analysis. Crop Science, 42(3), 804-815.
23. Li, H., Lascano, R. J., Booker, J., Wilson, T., & Bronson, K. F. (2001). Cotton lint yield variability in a heterogeneous soil on a landscape-scale. Soil and Tillage Research, 58(3), 245-258.
24. Machado, S., Bynum, E. D., Archer, T. L., Bordovsky, J., Rosenow, D. T., Peterson, C., et al. (2002). Spatial and temporal variability of sorghum grain yield: Influence of soil, water, pests, and disease relationships. Precision Agriculture, 3(4), 389-406.
25. Mahler, R. L., Benzdicek, D. F., & Witters, R. E. (1979). Influence of slope position on nitrogen fixation and yield of dry peas. Agronomy Journal, 71(2), 348-354.
26. McBratney, A., Whelan, B., Ancev, T., & Bouma, J. (2005). Future directions of precision agriculture. Precision Agriculture, 6(1), 7-23.
27. Mulders, M. A. (1987). Remote sensing in soil science. Amsterdam: Elsevier.
28. Mulla, D. J., & Schepers, J. S. (1997). Key processes and properties for site-specific soil and crop management. In F. J. Pierce & E. J. Sadler (Eds.), The state of site-specific management for agricultural systems (pp. 1-18). Madison: ASA, CSSA, and SSSA.
29. Ortiz, B. V., Sullivan, D. G., Perry, C., & Vellidis, G. (2006). Geospatial solutions for precision management of cotton root knot nematodes. In Proceedings of 2006 American Society of Agricultural and Biological Engineers annual international meeting (Paper number 061147). St. Joseph: ASABE.
30. Pierce, F. J., & Nowak, P. (1999). Aspects of precision agriculture. Advances in Agronomy, 67, 1-85.
31. Post, D. F., Fimbres, A., Matthias, A. D., Sano, E. E., Accioly, L., Batchily, A. K., et al. (2000). Predicting soil albedo from soil color and spectral reflectance data. Soil Science Society of America Journal, 64(2), 1027-1034.
32. Reeves, C. C., Jr. (1970). Origin, classification and geologic history of caliche on the southern High Plains, Texas and eastern New Mexico. Journal of Geology, 78(3), 352-362.
33. Ritchie, G. L., Bednarz, C. W., Jost, P. H., & Brown, S. M. (2004). Cotton growth and development. Bulletin 1252. Cooperative extension service, the University of Georgia College of Agricultural and Environmental Sciences.
34. Schepers, A. R., Shanahan, J. F., Liebig, M. A., Schepers, J. S., Johnson, S. H., & Luchiari, A., Jr. (2004). Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years. Agronomy Journal, 96(1), 195-203.
35. Simbahan, G. C., Dobermann, A., & Ping, J. L. (2004). Screening yield monitor data improves grain yield maps. Agronomy Journal, 96(4), 1091-1102.
36. Sinai, G., Zaslavsky, D. Z., & Golany, P. (1981). The effect of soil surface curvature on moisture and yield-Beer Sheba observation. Soil Science Society of America Journal, 132(5), 367-375.
37. Stone, J. R., Gilliam, J. W., Cassel, D. K., Danies, R. B., Nelson, L. A., & Kleiss, H. J. (1985). Effect of erosion and landscape position on the productivity of Piedmont soils. Soil Science Society of America Journal, 49(4), 987-991.
38. Terra, J. A., Shaw, J. N., Reeves, D. W., Raper, R. L., Santen, E. V., Schwab, E. B., et al. (2006). Soil management and landscape variability affects field-scale cotton productivity. Soil Science Society of America Journal, 70(1), 98-107.
39. USDA-NRCS. (2005). USDA-NRCS, Soil survey division. Official soil series descriptions. http://soils. usda. gov. Accessed 20 March 2012.
40. USDA-NRCS. (2008). USDA-NRCS, Soil survey division. General soil map of Texas. ftp://ftp-fc. sc. egov. usda. gov/TX/soils/tx_gsm_map. pdf. Accessed 20 June 2012.
41. Varvel, G. E., Schlemmer, M. R., & Schepers, J. S. (1999). Relationship between spectral data from aerial image and organic matter and phosphorus levels. Precision Agriculture, 1(3), 291-300.
42. Wright, R. J., Boyer, D. G., Winant, W. M., & Perry, H. D. (1990). The influence of soil factors on yield differences among landscape positions in an Appalachian corn field. Soil Science, 149(6), 375-382.
43. Zevenbergen, L. W., & Thorne, C. R. (1987). Quantitative analysis of land surface topography. Earth Surface Processes and Landforms, 12(1), 47-56.