Modeling of full and limited irrigation scenarios for corn in a semiarid environment

Transactions of the ASABE

Volumn 54, Issue 2, 2011, Pages 481-492

  DeJonge, Kendall C ^a   Andales, Allan A ^b   Ascough, James C ^c   Hansen, Neil C ^b  

^a Engineering Research Center and Hydraulics Laboratory   (United States)

^b Department of Environmental and Radiological Health Sciences   (United States)

^c U S DEPARTMENT OF AGRICULTURE   (United States)

Author keywords

CERES Maize; Crop modeling; Deficit irrigation; Evapotranspiration; Limited irrigation

Indexed keywords

CERES-MAIZE; CROP EVAPOTRANSPIRATION; CROP GROWTH; CROP MODELING; CROP SIMULATION MODEL; DEFICIT IRRIGATION; FIELD EXPERIMENT; FORT COLLINS; GRAIN YIELD; GROWTH STAGES; IRRIGATION MANAGEMENT; IRRIGATION TREATMENTS; LEAF AREA INDEX; LIMITED IRRIGATIONS; MODEL ESTIMATES; PLANT RESPONSE; RELATIVE ERRORS; REPRODUCTIVE STAGE; SEMI-ARID ENVIRONMENTS; SIMULATION RESULT; SITE-SPECIFIC; SOIL PROFILES; USE EFFICIENCY; WATER BALANCE; WATER STRESS; WATER-USE EFFICIENCY;

COMPUTER SIMULATION; CROPS; EFFICIENCY; EVAPOTRANSPIRATION; GEOLOGIC MODELS; GRAIN (AGRICULTURAL PRODUCT); PLANTS (BOTANY); RATING; SOILS; WATER CONTENT; WATER SUPPLY;

IRRIGATION;

AGRICULTURAL MODELING; ALGORITHM; CALIBRATION; CROP YIELD; EVAPOTRANSPIRATION; IRRIGATION SYSTEM; LEAF AREA INDEX; MAIZE; SEMIARID REGION; SOIL PROFILE; SOIL WATER; WATER MANAGEMENT; WATER STRESS; WATER USE EFFICIENCY;

COLORADO; UNITED STATES;

ZEA MAYS;

EID: 79954563720     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (58)

1. Ahuja, L. R., V. R. Reddy, S. A. Saseendran, and Q. Yu, eds. 2008. Response of Crops to Limited Water: Understanding and Modeling Water Stress Effects on Plant Growth Processes. Madison, Wisc.: ASA-CSSA-SSSA.
2. Allen, R. G., L. S. Pereira, D. Raes, and M. Smith. 1998. Crop evapotranspiration: guidelines for computing crop water requirements. Irrigation and Drainage Paper No. 56. Rome, Italy: United Nations FAO.
3. Barrett, J. H., and G. V. Skogerboe. 1978. Effects of irrigation regime on maize yields. J. Irrig. and Drainage Div. ASCE 104(2): 179-194.
4. Boote, K. J. 1999. Concepts for calibrating crop growth models. In International Benchmark Sites Network for Agrotechnology Transfer, 179-200. DSSAT Version 3, Vol. 4-6. G. Y. Tsuji, G. Uehara, and S. Balas, eds. Honolulu, Hawaii: University of Hawaii.
5. Bos, M. G. 1985. Summary of ICID definitions of irrigation efficiency. ICID Bulletin 34(1): 28-31. (Pubitemid 15567274)
6. Brisson, N., J. Wery, and K. Boote. 2006. Fundamental concepts of crop models illustrated by a comparative approach. In Working with Dynamic Crop Models: Evaluation, Analysis, Parameterization, and Applications, 257-279. D. Wallach, D. Makowski, and J. W. Jones, eds. Amsterdam, The Netherlands: Elsevier.
7. Cabelguenne, M., C. A. Jones, and J. R. Williams. 1995. Strategies for limited irrigations of maize in southwestern France: A modeling approach. Trans. ASAE 38(2): 507-511.
8. Castrignano, A., N. Katerji, F. Karam, M. Mastrorilli, and A. Hamdy. 1998. A modified version of CERES-Maize model for predicting crop response to salinity stress. Ecol. Modelling 111(2-3): 107-120. (Pubitemid 28494433)
9. CDM. 2007. Colorado's water supply future: Statewide water supply initiative: Phase 2. Prepared for the Colorado Water Conservation Board. Cambridge, Mass.: Camp Dresser and McKee, Inc.
10. Colorado Water. 2010. Theme: Alternatives to ag transfers. Colorado Water: Newsletter of the Water Center of Colorado State University 27(1). Fort Collins, Colo.: Colorado State University.
11. Dogan, E., G. A. Clark, D. H. Rogers, V. Martin, and R. L. Vanderlip. 2006. On-farm scheduling studies and CERES-Maize simulations of irrigated corn. Applied Eng. in Agric. 22(4): 509-516. (Pubitemid 44275579)
12. Doorenbos, J., and A. K. Kassam. 1979. Yield response to water. Irrigation and Drainage Paper 33. Rome, Italy: United Nations FAO.
13. English, M. J., K. H. Solomon, and G. J. Hoffman. 2002. A paradigm shift in irrigation management. J. Irrig. Drainage Eng. 128(5): 267-277. (Pubitemid 35206125)
14. Evett, S. R., and J. A. Tolk. 2009. Introduction: Can water use efficiency be modeled well enough to impact crop management? Agron. J. 101(3): 423-425.
15. Farre, I., and J. M. Faci. 2009. Deficit irrigation in maize for reducing agricultural water use in a Mediterranean environment. Agric. Water Mgmt. 96(3): 383-394.
16. Gilley, J. R., D. G. Watts, and C. Y. Sullivan. 1980. Management of Irrigation Agriculture with a Limited Water and Energy Supply. Lincoln, Neb.: University of Nebraska, Institute of Agriculture and Natural Resources.
17. Godwin, D. C., and U. Singh. 1998. Nitrogen balance and crop response to nitrogen in upland and lowland cropping systems. In Understanding Options for Agricultural Production, 55-77. G. Y. Tsuji, G. Hoogenboom, and P. K. Thorton eds. Dordrecht, The Netherlands: Kluwer Academic.
18. Hoogenboom, G., J. W. Jones, P. W. Wilkens, C. H. Porter, W. D. Batchelor, L. A. Hunt, K. J. Boote, U. Singh, O. Uryasev, W. T. Bowen, A. J. Gijsman, A. du Toit, J. W. White, and G. Y. Tsuji. 2004. Decision Support System for Agrotechnology Transfer. Version 4.0. Honolulu, Hawaii: University of Hawaii.
19. Howell, T. A. 2001. Enhancing water use efficiency in irrigated agriculture. Agron. J. 93(2): 281-289. (Pubitemid 32368354)
20. Igbadun, H. E., B. A. Salim, A. Tarimo, and H. F. Mahoo. 2008. Effects of deficit irrigation scheduling on yields and soil water balance of irrigated maize. Irrig. Sci. 27(1): 11-23.
21. Jones, C. A., and J. R. Kiniry. 1986. CERES-Maize: A Simulation Model of Maize Growth and Development. College Station, Tex.: Texas A&M University Press.
22. Jones, J. W., G. Y. Tsuji, G. Hoogenboom, L. Hunt, P. K. Thorton, P. Wilkens, D. Imamura, W. Bowen, and U. Singh. 1998. Decision support system for agrotechnology transfer. In Understanding Options for Agricultural Production, 157-177. G. Y. Tsuji, G. Hoogenboom, and P. K. Thorton, eds. Dordrecht, The Netherlands: Kluwer Academic.
23. Jones, J. W., G. Hoogenboom, C. Porter, K. J. Boote, W. D. Batchelor, L. A. Hunt, P. Wilkens, U. Singh, A. Gijsman, and J. T. Ritchie. 2003. The DSSAT cropping system model. European J. Agron. 18(3): 235-265. (Pubitemid 36101016)
24. Kang, S., B. Gu, T. Du, and J. Zhang. 2003. Crop coefficient and ratio of transpiration to evapotranspiration of winter wheat and maize in a semi-humid region. Agric. Water Mgmt. 59(3): 239-254. (Pubitemid 36325877)
25. Katerji, N., M. Mastrorilli, and H. E. Cherni. 2010. Effects of corn deficit irrigation and soil properties on water use efficiency: A 25-year analysis of a Mediterranean environment using the STICS model. European J. Agron. 32(2): 177-185.
26. Keating, B. A., B. M. Wafula, and R. L. McCown. 1988. Simulation of plant density effects on maize yield as influenced by water and nitrogen limitations. In Proc. Intl. Cong. Plant Physiol., 547-559. New Delhi, India: Society for Plant Physiology and Biochemistry.
27. Kiniry, J. R., and A. J. Bockholt. 1998. Maize and sorghum simulation in diverse Texas environments. Agron. J. 90(5): 682-687. (Pubitemid 28537151)
28. Kiniry, J. R., J. R. Williams, R. L. Vanderlip, J. D. Atwood, D. C. Reicosky, J. Mulliken, W. J. Cox, H. J. Mascagni Jr., S. E. Hollinger, and W. J. Wiebold. 1997. Evaluation of two maize models for nine U.S. locations. Agron. J. 89(3): 421-426. (Pubitemid 27353899)
29. Klocke, N. L., J. P. Schneekloth, S. R. Melvin, R. T. Clark, and J. O. Payero. 2004. Field-scale limited irrigation scenarios for water policy strategies. Applied Eng. in Agric. 20(5): 623-631.
30. Klocke, N. L., J. O. Payero, and J. P. Schneekloth. 2007. Long-term response of corn to limited irrigation and crop rotations. Trans. ASABE 50(6): 2117-2124. (Pubitemid 351157808)
31. Ko, J., and G. Piccinni. 2009. Corn yield responses under crop evapotranspiration-based irrigation management. Agric. Water Mgmt. 96(5): 799-808.
32. Legates, D. R., and G. J. McCabe, Jr. 1999. Evaluating the use of "goodness-of-fit" measures in hydrologic and hydroclimatic model validation. Water Resources Res. 35(1): 233-241. (Pubitemid 29054163)
33. López-Cedrón, F. X., K. J. Boote, J. Piñeiro, and F. Sau. 2008. Improving the CERES-Maize model ability to simulate water deficit impact on maize production and yield components. Agron. J. 100(2): 296-307. (Pubitemid 351457976)
34. Ma, L., D. C. Nielsen, L. R. Ahuja, J. R. Kiniry, J. D. Hanson, and G. Hoogenboom. 2002. An evaluation of RZWQM, CROPGRO, and CERES-maize for responses to water stress in the central Great Plains of the U.S. In Agricultural System Models in Field Research and Technology Transfer, 119-148. L. R. Ahuja et al., eds. New York, N.Y.: Lewis Publishers.
35. Mansouri-Far, C., S. Sanavy, and S. F. Saberali. 2010. Maize yield response to deficit irrigation during low-sensitive growth stages and nitrogen rate under semi-arid climatic conditions. Agric. Water Mgmt. 97(1): 12-22.
36. Mastrorilli, M., N. Katerji, and B. B. Nouna. 2003. Using the CERES-Maize model in a semi-arid Mediterranean environment. Validation of three revised versions. European J. Agron. 19(2): 125-134. (Pubitemid 36536529)
37. Nash, J. E., and J. V. Sutcliffe. 1970. River flow forecasting through conceptual models: Part I. A discussion of principles. J. Hydrol. 10(3): 282-290.
38. Nielsen, D., G. Peterson, R. Anderson, V. Ferriera, W. Shawcroft, and K. Remington. 1996. Estimating corn yields from precipitation records. Conservation Tillage Facts No. 2-96. Akron, Colo.: Central Great Plains Research Station.
39. Nouna, B. B, N. Katerji, and M. Mastrorilli. 2000. Using the CERES-Maize model in a semi-arid Mediterranean environment. Evaluation of model performance. European J. Agron. 13(4): 309-322.
40. Panda, R. K., S. K. Behera, and P. S. Kashyap. 2004. Effective management of irrigation water for maize under stressed conditions. Agric. Water Mgmt. 66(3): 181-203. (Pubitemid 38463589)
41. Paustian, K., H. P. Collins, and E. A. Paul. 1997. Management controls on soil carbon. In Soil Organic Matter in Temperate Agroecosystems: Long-Term Experiments in North America, 15-50. E. A. Paul, K. Paustian, E. T. Elliott, and C. V. Cole, eds. Boca Raton, Fla.: CRC Press.
42. Payero, J. O., S. R. Melvin, S. Irmak, and D. Tarkalson. 2006. Yield response of corn to deficit irrigation in a semiarid climate. Agric. Water Mgmt. 84(1-2): 101-112.
43. Payero, J. O., D. D. Tarkalson, S. Irmak, D. Davison, and J. L. Petersen. 2009. Effect of timing of a deficit-irrigation allocation on corn evapotranspiration, yield, water use efficiency, and dry mass. Agric. Water Mgmt. 96(10): 1387-1397.
44. Pioneer. 2008. Fact sheet for Pioneer 38P43 corn grain. Johnston, Iowa: Pioneer Hi-Bred International, Inc.
45. Ritchie, J. T. 1998. Soil water balance and plant water stress. In Understanding Options for Agricultural Production, 41-54. G. Y. Tsuji, G. Hoogenboom, and P. K. Thorton, eds. Dordrecht, The Netherlands: Kluwer Academic.
46. Ritchie, J. T., U. Singh, D. C. Godwin, and W. T. Bowen. 1998. Cereal growth, development and yield. In Understanding Options for Agricultural Production, 79-98. G. Y. Tsuji, G. Hoogenboom, and P. K. Thorton, eds. Dordrecht, The Netherlands: Kluwer Academic.
47. Saseendran, S. A., L. R. Ahuja, D. C. Nielsen, T. J. Trout, T. J., and L. Ma. 2008a. Use of crop simulation models to evaluate limited irrigation management options for corn in a semiarid environment. Water Resources Res. 44: W00E02, doi:10.1029/2007WR006181.
48. Saseendran, S. A., L. R. Ahuja, L. Ma, D. J. Timlin, C. O. Stockle, K. J. Botte, and G. Hoogenboom. 2008b. Current water deficit stress simulations in selected agricultural system simulation models. In Response of Crops to Limited Water: Understanding and Modeling Water Stress Effects on Plant Growth Processes, 1-38. L. R. Ahuja et al., eds. Madison, Wisc.: ASA-CSSA-SSSA.
49. Schaap, M. G., F. J. Leij, and M. T. van Genuchten. 2001. ROSETTA: A computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. J. Hydrol. 251(3-4): 163-176. (Pubitemid 32792750)
50. Schneekloth, J., T. Bauder, and N. Hansen. 2009. Limited irrigation management: Principles and practices. Publication No. 4.720. Fort Collins, Colo.: Colorado State University Extension.
51. SCS. 1972. Hydrology Section 4, Chapters 4-10. In National Engineering Handbook. Washington, D.C.: USDA Soil Conservation Service.
52. Singh, U. 1985. A crop growth model for predicting corn (Zea mays L.) performance in the tropics. PhD diss. Honolulu, Hawaii: University of Hawaii, Department of Agronomy. Skidmore, E. L., M. Kumar, and W. E. Larson. 1979. Crop residue management for wind erosion control in the Great Plains. J. Soil Water Cons. 34(2): 90-94.
53. Smith, D. H., K. Klein, R. Bartholomay, I. Broner, G. E. Cardon, W. M. Frasier, R. Kuharich, D. C. Lile, M. Gross, D. Parker, H. Simpson, and E. Wilkinson. 1996. Irrigation water conservation: Opportunities and limitations in Colorado. Report of the Agricultural Water Conservation Task Force. Fort Collins, Colo.: Colorado State University, Colorado Water Resources Research Institute.
54. Soler, C. M. T., P. C. Sentelhas, and G. Hoogenboom. 2007. Application of the CSM-CERES-Maize model for planting date evaluation and yield forecasting for maize grown off-season in a subtropical environment. European J. Agron. 27(2-4): 265-177.
55. Tsuji, G. Y., J. W. Jones, G. Hoogenboom, L. A. Hunt, and P. K. Thornton. 1994. Introduction. In Decision Support System for Agrotechnology Transfer. DSSAT v3, Vol. 1. G. Y. Tsuji, Y. Uehara, and G. S. Balas, eds. Honolulu, Hawaii: University of Hawaii.
56. Vazifedoust, M., J. C. van Dam, R. A. Feddes, and M. Feizi. 2008. Increasing water productivity of irrigated crops under limited water supply at field scale. Agric. Water Mgmt. 95(2): 89-102.
57. Vorst, J. J. 1993. Assessing hail damage to corn. Publication NCH-1. West Lafayette, Ind.: Purdue University Cooperative Extension Service. Available at: www.ces.purdue.edu/extmedia/NCH/NCH-1.html.
58. Xie, Y. J. R. Kiniry, V. Nedbalek, and W. D. Rosenthal. 2001. Maize and sorghum simulations with CERES-Maize, SORKAM, and ALMANAC under water-limiting conditions. Agron. J. 93(5): 1148-1155. (Pubitemid 32901020)