Water allocation model for limited irrigation

Applied Engineering in Agriculture

Volumn 22, Issue 3, 2006, Pages 381-389

  Klocke, Norman L ^a,b   Stone, Loyd R ^a   Clark, Gary A ^c   Dumler, Troy J ^a   Briggeman, Steven ^d  

^a KANSAS STATE UNIVERSITY   (United States)

^b Sprout Software LLC ^*  (United States)

^c Sunflower Networking Group   (United States)

^d Sprout Software LLC   (United States)

Author keywords

Decision model; Deficit irrigation; Economic optimization; Groundwater; Limited irrigation

Indexed keywords

CROPS; ECONOMICS; GROUNDWATER; MANAGEMENT; OPTIMIZATION; WATER RESOURCES; WATER SUPPLY;

DECISION MODEL; DEFICIT IRRIGATION; ECONOMIC OPTIMIZATION; LIMITED IRRIGATION;

IRRIGATION;

EID: 33746521707     PISSN: 08838542     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (24)

1. Barrett, H. W. H., and G. V. Skogerboe. 1978. Effect of irrigation regime on maize yields. J. of Irr. and Drainage Div. ASCE 104(IR2): 179-194.
2. Bernardo, D. J., N. K. Whittlesey, K. E. Saxton, and D. L. Bassett. 1988. Irrigation optimization under limited water supply. Transactions of the ASAE 31(3): 712-719.
3. Dumler, T. J., and C. R. Thompson. 2004. Center-pivot-irrigated cost-return budgets in western Kansas. Kansas Farm Management Guides. Kansas State University Agricultural Experiment Station and Cooperative Extension Service, Manhattan, Kans.
4. Fischbach, P. E., and M. A. Schroeder, eds. 1982. Irrigation Pumping Plant Performance Handbook, 4th Ed. Agricultural Engineering Department. CES, IANR. Lincoln, Nebr.: University of Nebraska.
5. Gorantiwar, S. D., and I. K. Smout. 2003. Allocation of scarce water resources using deficit irrigation in rotational systems. J. of Irr. and Drainage Eng. 129(3): 155-163.
6. Gorantiwar, S. D., and I. K. Smout. 2005. Multilevel approach for optimizing land and water resources and irrigation deliveries for tertiary units in large irrigation schemes. II: Application. J. of Irr. and Drainage Eng. 13(3): 264-272.
7. Kansas Agricultural Statistics Service. 2004. Kansas Custom Rates.
8. Kansas State University. 2004. Crop Water Allocator (CWA): KSU Mobile Irrigation Lab. Available at www.oznet.ksu.edu/mil. Accessed 25 April 2005.
9. Khan, A. H. 1996. KS Water Budget: Educational software for illustration of drainage, ET, and crop yield. Ph.D. diss. Manhattan. Kans: Kansas State Univ.
10. Khan, A. H., L. R. Stone, O. H. Buller, A. J. Schlegel, M. C. Knapp, J.-I. Pemg, H. L. Manges, and D. H. Rogers. 1996. Educational software for illustration of drainage, evapotranspiration, and crop yield. J. Nat. Resour. Life Sci. Educ. 25(2):170-174.
11. Leikam, D. F., R. E. Lamond, and D. B. Mengel. 2003. Soil test interpretations and fertilizes recommendations. Kansas State Univ. Agric. Experiment Station and Cooperative Extension Service. Manhattan, Kans.
12. Martin, D. L., D. G. Watts, and J. R. Gilley. 1984. Model and production function for irrigation management. J. of Irr. and Drainage Eng. 110(1): 149-164.
13. Martin, D. L., J. van Brocklin, and G. Wilmes. 1989a. Operating rules for deficit irrigation management. Transactions of the ASAE 32(4): 1204-1215.
14. Martin, D. L., J. R. Gilley, and R. J. Supalla.1989b. Evaluation of irrigation planning decisions. J. if Irr. and Drainage Eng. 115(1): 58-77.
15. NOAA Department of Commerce. 2000. Monthly precipitation probabilities and quintiles 1971-2000. Climatography of the United States No. 81. Supplement No. 1. Washington, D. C.: NOAA.
16. Panda, S. N., S. D. Khepar, and M. P. Kaushal, 1996. Interseasonal irrigation system planning for waterlogged sodic soils. J. of Irr. and Drainage Eng. 122(3): 135-144.
17. Penman, H. L. 1948. Natural evporation from open water, bare soil, and grass. Proc. Roy. Soc. London. Ser. B. 281: 277-294.
18. Retta, A., and R. J. Hanks. 1980. Corn and alfalfa production as influenced by limited irrigation, Irr. Sci. 1(1): 135-147.
19. Schneekloth, J. P., N. L. Klocke, G. W. Hergert, D. L. Martin, and R. T. Clark. 1991. Crop rotations with full andlimited irrigation and dryland management. Transactions of the ASAE 34(6): 2372-2380.
20. Stegman, E. C. 1982. Com grain yield as influenced by timing of evapotranspiration deficits. Irr. Sci. 3(1): 37-87.
21. Stewart, J. L., R. D. Misra, W. O. Pruitt, and R. M. Hagan. 1975. Irriating com and grain sorghum with a deficient water supply. Transactions of the ASAE 18: 270-280.
22. Stone, L. R., O. H. Buller, A. J. Schlegel, M. C. Knapp, J.-I. Perng, A. H. Khan, H. L. Manges, and D. H. Rogers. 1995. Description and use of KS Water Budget v. T1 software. Resource Manual. Dept. of Agron. Manhattan. Kans.: Kansas Sate Univ.
23. University of Nebraska. 2005. Water optimizer: A decision support tool for producers with limited water. Available at www.Extension-water.unl.edu. Accessed 31 March 2005.
24. Wardlaw, R., and J. Bames. 1999. Optimal allocation of irrigation water supplies in real time. J. of Irr. and Drainage Eng. 125(6): 345-354.