Development and evaluation of ordinary least squares regression models for predicting irrigated and rainfed maize and soybean yields

Transactions of the ASABE

Volumn 56, Issue 4, 2013, Pages 1361-1378

  Sharma, V ^a   Rudnick, D R ^a   Irmak, S ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Evapotranspiration; Inverse distance weighting; Irrigation; Kriging; Maize; Ordinary least square; Rainfed; Soybean; Spline

Indexed keywords

INVERSE DISTANCE WEIGHTING; KRIGING; MAIZE; ORDINARY LEAST SQUARES; RAINFED; SOYBEAN;

CHEMICAL PROPERTIES; CROPS; EVAPOTRANSPIRATION; FOOD SUPPLY; FORECASTING; IRRIGATION; MATHEMATICAL MODELS; REGRESSION ANALYSIS; SOIL MOISTURE; SPLINES; WATER SUPPLY;

INTERPOLATION;

AGRICULTURAL MODELING; CROP PRODUCTION; CROP YIELD; DECISION MAKING; EVAPOTRANSPIRATION; FOOD SECURITY; INTERPOLATION; ION EXCHANGE; IRRIGATION SYSTEM; LEAST SQUARES METHOD; MAIZE; RAINFED AGRICULTURE; SOIL TYPE; SOYBEAN;

NEBRASKA; UNITED STATES;

EID: 84885466759     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: 10.13031/trans.56.9973     Document Type: Article

References (73)

1. Adams, R. M., B. H. Hurd, S. Lenhart, and N. Leary. 1998. Effects of global climate change on agriculture: An interpretative review. Clim. Res. 11(1):19-30.
2. Anderson, J. L. 2002. A local least squares framework for ensemble filtering. Monthly Weather Rev. 131(4):634-642.
3. Bakhsh, A., and R. S. Kanwar. 2004. Using discriminant analysis and GIS to delineate subsurface drainage patterns. Trans. ASAE 47(3):689-699.
4. Blennow K., and P. Persson. 1998. Modelling local-scale frost variations using mobile temperature measurements with a GIS. Agric. Forest Meteorol. 89(1):59-71.
5. Bryant, C. R., B. Smit, M. Brklacich, T. R. Johnston, J. Smithers, Q. Chiotti, and B. Singh. 2000. Adaptation in Canadian agriculture to climatic variability and change. In Societal Adaptation to Climate Variability and Change, 181-201. S. M. Kane and G. W. Yohe, eds. Dordrecht, The Netherlands: Kluwer Academic.
6. Casanova, D., J. Goudriaan, J. Bouma and G. F. Epema. 1999. Yield gap analysis in relation to soil properties in direct-seeded flooded rice. Geoderma 91 (3-4):191-216.
7. Collins, F. C., and P. V. Bolstad. 1996. A comparison of spatial interpolation techniques in temperature estimation. In Proc. 3rd Intl. Conf. and Workshop on Integrating GIS and Environ. Modeling. Santa Barbara, Cal.: National Center for Geographic Information and Analysis.
8. Curran, P. J., and P. M. Atkinson. 1998. Geostatistics and remote sensing. Prog. Physical Geography 22(1):61-78.
9. Curran, P. J., G. M. Foody, and P. R. Van Gardingen. 1997. Scalingup. In Scaling-up from Cell to Landscape, 1-5. P. R. van Gardingen, G. M. Foody, and P. J. Curran, eds. Cambridge, U. K.: Cambridge University Press.
10. Curry, R. B., R. M. Peart, J. W. Jones, K. J. Boote, and L. H. Allen Jr. 1990. Simulation as a tool for analyzing crop response to climate change. Trans. ASAE 33(3):981-990.
11. Dalthorp, D., J. Nyrop, and M. Villani. 1999. Estimation of local mean population densities of Japanese beetle grubs (Scarabaeidae: Coleoptera). Environ. Entomol. 28(2):255-265.
12. Dent, J. B., and P. K. Thornton. 1988. The role of biological simulation models in farming systems research. Agric. Admin. and Extension 29(2):111-122.
13. Dodson, R., and D. Marks. 1997. Daily air temperature interpolated at high spatial resolution over a large mountainous region. Clim. Res. 8(1):1-20.
14. Goovaerts, P. 2000. Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. J. Hydrol. 228 (1-2):113-129.
15. Hammond, T., and J. Yarie. 1996. Spatial prediction of climatic state factor regions in Alaska. EcoScience 3(4):490-501.
16. Hansen, J. W., and J. W. Jones. 2000. Scaling-up crop models for climate variability applications. Agric. Systems 65(1):43-72.
17. Hevesi, J. A., J. D. Istok, and A. L. Flint. 1992. Precipitation estimation in mountainous terrain using multivariate geostatistics: Part I. Structural analysis. J. Appl. Meteorol. 31(7):661-676.
18. Holdaway, M. R. 1996. Spatial modelling and interpolation of monthly temperature using kriging. Clim. Res. 6(3):215-225.
19. Hosseini, E., J. Gallichand, and D. Marcotte. 1994. Theoretical and experimental performance of spatial interpolation methods for soil salinity analysis. Trans. ASAE 37(6):1799-1807.
20. Hudson, G., and H. Wackernagel. 1994. Mapping temperature using kriging with an external drift: Theory and an example from Scotland. Intl. J. Climatol. 14(1):77-91.
21. Hulme, M., D. Conway, P. D. Jones, T. Jiang, E. M. Barrow, and C. Turney. 1995. Construction of a 1961-1990 European climatology for climate change modeling and impact application. Intl. J. Climatol. 15(12):1333-1363.
22. Irmak, A., J. W. Jones, W. D. Batchelor, and J. O. Paz. 2001. Estimating spatially variable soil properties for crop model use in precision farming. Trans. ASAE 42(6):1867-1877.
23. Irmak, A., J. W. Jones, W. D. Batchelor, and J. O. Paz. 2002. Linking multi-variables for diagnosing causes of spatial yield variability in soybean. Trans. ASAE 45(3):839-849.
24. Irmak, A., J. W. Jones, and S. S. Jagtap. 2005. Evaluation of the CROPGRO-Soybean model for assessing climate impacts on regional soybean yields. Trans. ASAE 48(6):2343-2353.
25. Irmak, A., J. W. Jones, W. D. Batchelor, S. Irmak, J. O. Paz, and K. J. Boote. 2006. Analysis of spatial yield variability using a combined crop model empirical approach. Trans. ASABE 49(3):811-818.
26. Irmak, A., P. Ranade, D. Marx, S. Irmak, K. G. Hubbard, G. Meyer, and D. L. Martin. 2010. Spatial interpolation of climate variables in Nebraska. Trans. ASABE 53(6):1759-1771.
27. Irmak, S., I. Kabenge, K. E. Skaggs, and D. Mutiibwa. 2012. Trend and magnitude of changes in climatic variables and reference evapotranspiration over 116-year period in the Platte River valley, central Nebraska, USA. J. Hydrol. 420-421:228-244.
28. Jones, C. A., and J. R. Kiniry, eds. 1986. CERES-Maize: A Simulation Model of Maize Growth and Development. College Station, Tex.: Texas A&M University Press.
29. Jones, J. W., G. Hoogenboom, C. H. Porter, K. J. Boote, W. D. Batchelor, L. A. Hunt, P. W. Wilkens, U. Singh, A. J. Gijsman, and J. T. Ritchie. 2003. The DSSAT cropping system model. European J. Agron. 18 (3-4):235-265.
30. Kaspar, T. C., T. S. Colvin, D. B. Jaynes, D. L. Karlen, D. E. James, D. W. Meek, D. Pulido, and H. Butler. 2003. Relationship between six years of corn yields and terrain attributes. Precision Agric. 4(1):87-101.
31. Kollias, V. J., D. P. Kalivas, and N. J. Yassoglou. 1999. Mapping the soil resources of a recent alluvial plain in Greece using fuzzy sets in a GIS environment. J. Soil Sci. 50(2):261-273.
32. Kravchenko, A. N., and D. G. Bullock. 1999. A comparative study of interpolation methods for mapping soil properties. Agron. J. 91(3):393-400.
33. Kravchenko, A. N., and D. G. Bu1lock. 2002a. Spatial variability of soybean quality data as a function of field topography: I. Spatial data analysis. Crop Sci. 42(3):804-815.
34. Kravchenko, A. N., and D. G. Bullock. 2002b. Spatial variability of soybean quality data as a function of field topography: II. A proposed technique for calculating the size of the area for differential soybean harvest. Crop Sci. 42(3):816-821.
35. Kreznor, W., K. Olson, W. Banwart, and D. Johnson. 1989. Soil, landscape, and erosion relationship in a northwest Illinois watershed. SSSA J. 53(6):1763-1771.
36. Kulkarni, S. S., S. G. Bajwa, J. C. Rupe, and T. L. Kirkpatrick. 2008. Spatial correlation of crop response to soybean cyst nematode (Heterodera glycines). Trans. ASABE 51(4):1451-1459.
37. Kurtzman, D., and R. Kadmon. 1999. Mapping of temperature variables in Israel: A comparison of different interpolation methods. Clim. Res. 13(1):33-43.
38. Lal, H, G. Hoogenboom, J. P. Calixte, J. W. Jones, and F. H. Beinroth. 1993. Using crop simulation models and GIS for regional productivity analysis. Trans. ASAE 36(1):175-184.
39. Lal, R. 1989. Conservation tillage for sustainable agriculture: Tropics vs.temperate environments. Adv. in Agron. 42:85-197.
40. Lal, R. 1997. Long-term tillage and maize monoculture effects on a tropical Alfisol in western Nigeria: 2. Soil chemical properties. Soil and Tillage Res. 42(3):161-174.
41. Letey, J. 1985. Relationship between soil physical properties and crop production. Adv. in Soil Sci. 1:276-294.
42. Li, J., J. Huang, and X. Wang. 2006. A GIS-based approach for estimating spatial distribution of seasonal temperature in Zhejiang Province, China. J. Zhejiang University Sci. A 7(4):647-656.
43. Lobell, D. B., K. N. Cahill, and C. B. Field. 2007. Historical effects of temperature and precipitation on California crop yields. Clim. Change 81(2):187-203.
44. McBratney, A. B., and M. J. Pringle. 1997. Spatial variability in soil: Implications for precision agriculture. In Proc. 1st European Conf. on Precision Agric, vol. 1:3-31. J. V. Stafford, ed. Oxford, U. K.: BIOS Scientific.
45. McCarthy, J. J., O. F Canziani, N. A. Leary, D. J. Dokken, and K. S. White. 2001. Climate Change 2001: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, U. K.: Cambridge University Press.
46. McKinion, J. M., J. L. Willers, and J. N. Jenkins. 2010. Spatial analysis to evaluate multi-crop yield stability for a field. Computers and Electronics in Agric. 70(1):187-198.
47. Merino, G. G., D. Jones, D. E. Stooksbury, and K. G. Hubbard. 2001. Determination of semivariogram models to krige hourly and daily solar irradiance in western Nebraska. J. Applied Meteorol. 40(6):1085-1094.
48. Miller, M., M. Singer, and D. Nielsen. 1988. Spatial variability of wheat yield and soil properties on complex hills. SSSA J. 52(4):1133-1141.
49. Monteith, J. L. 1965. Evaporation and the environment. In Proc. 19th Symp. Society for Experimental Biology: The State and Movement of Water in Living Organism, 205-234. Cambridge, U. K.: Cambridge University Press.
50. Moore, I., P. Gessler, G. Nielsen, and G. Peterson. 1993. Soil attribute prediction using terrain analysis. SSSA J. 57(2):443-452.
51. Nalder, I. A., and R. W Wein. 1998. Spatial interpolation of climatic normals: Test of a new method in the Canadian boreal forest. Agric. Forest Meteorol. 92(4):211-225.
52. Ninyerola, M., X. Pons, and J. M Roure. 2000. A methodological approach of climatological modelling of air temperature and precipitation through GIS techniques. Intl. J. Clim. 20(14):1823-1841.
53. Okogun, J. A., B. T Otuyemi, and N. Sanginga. 2004. Soybean yield determination and response of rhizobial inoculation in an on-farm trial in the northern Guinea savanna of Nigeria. West African J. Appl. Ecol. 6:30-39.
54. Prasad, R., and J. F. Power. 1991. Crop residue management: Literature review. Adv. Soil Sci. 15:205-251.
55. Reidsma, P., F. Ewert, A. O. Lansink, and R. Leemans. 2009. Vulnerability and adaptation of European farmers: A multi-level analysis of yield and income responses to climate variability. Regional Environ. Change 9(1):25-40.
56. Rosenthal, W., G. Hammer, and D. Butler. 1998. Predicting regional grain sorghum production in Australia using spatial data and crop simulation modelling. Agric. Forest Meteorol. 91(3):263-274.
57. Sarangi, A., C. A. Cox, and C. A. Madramootoo. 2005. Geostatistical methods for prediction of spatial variability of rainfall in a mountainous region. Trans. ASAE 48(3):943-954.
58. Sharma, V., and S. Irmak. 2012a. Mapping spatially interpolated precipitation, reference evapotranspiration, actual crop evapotranspiration, and net irrigation requirement in Nebraska: Part I. Precipitation and reference evapotranspiration. Trans. ASABE 55(3):907-921.
59. Sharma, V., and S. Irmak. 2012b. Mapping spatially interpolated precipitation, reference evapotranspiration, actual crop evapotranspiration, and net irrigation requirement in Nebraska: Part II. Actual evapotranspiration and net irrigation requirement. Trans. ASABE 55(3):923-936.
60. Sharma, V., A. Irmak, I. Kabenge, and S. Irmak. 2011. Application of GIS and geographically weighted regression to evaluate the spatial non-stationarity relationship between precipitation vs.irrigated and dryland maize and soybean. Trans. ASABE 54(3):953-972.
61. Strahler, A. N., and A. H. Strahler. 1984. Elements of Physical Geography. New York, N. Y.: John Wiley and Sons.
62. Stone, J. R., J. W. Gilliam, D. K. Cassel, R. B. Daniels, L. A. Nelson, and H. J. Kleiss. 1985. Effect of erosion and landscape position on the productivity of piedmont soils. SSSA J. 49(4):987-991.
63. Tabios, G. Q., and J. D. Salas. 1985. A comparative analysis of techniques for spatial interpolation of precipitation. Water Resour. Bull. 21(3):365-380.
64. Thornton, P. K., A. R. Saka, U. Singh, J. D. T. Kumwenda, J. E. Brink, and J. B. Dent. 1995. Application of a maize crop simulation model in the central region of Malawi. Exp. Agric. 31(2):213-226.
65. USDA-NASS. 2009. Census of agriculture: Farm and ranch irrigation survey. Washington, D. C.: USDA National Agricultural Statistics Service.
66. USDA-NRCS. 2009. Map of maize and soybean no-till acreages in Nebraska. Lincoln, Neb.: USDA Natural Resources Conservation Service. Available at: www.ne.nrcs.usda.gov/technical/notill.html.
67. Vicente-Serrano, S. M., and J. M. Cuadrat. 2003. Comparative analysis of interpolation methods in the middle Ebro Valley (Spain):Application to annual precipitation and temperature. Clim. Res. 24(2):161-180.
68. Watson, D. F., and G. M. Philip. 1985. A refinement of inverse distance weighted interpolation. Geo-Processing 2:315-327.
69. Weber, D., and E. Englund. 1992. Evaluation and comparison of spatial interpolators. Math. Geol. 24(4):381-391.
70. Webster, R. 1985. Quantitative spatial analysis of soil in the field. Advances in Soil Sci. 3:1-70.
71. Willmott, C. J., and K. Matsuura. 1995. Smart interpolation of annually averaged air temperature in the United States. J. Appl. Meteorol. 34(12):2577-2586.
72. Willmott, C. J., and S. M. Robeson. 1995. Climatologically aided interpolation of terrestrial temperature. Intl. J. Clim. 15(2):221-229.
73. Wright, R., D. Boyer, W. Winant, and H. Perry. 1990. The influence of soil factors on yield differences among landscape positions in an Appalachian cornfield. Soil Sci. 149(6):375-382.