Optimal use and economic value of weather forecasts for lettuce irrigation in a humid climate

Agricultural and Forest Meteorology

Volumn 89, Issue 2, 1998, Pages 115-129

  Wilks, D S ^a   Wolfe, D W ^a  

^a Department of Obstetrics Gynecology   (United States)

Author keywords

Beta distribution; Crop simulation models; Decision process; Irrigation; Lettuce; Weather forecasts

Indexed keywords

HUMID CLIMATE; IRRIGATION; LETTUCE; WEATHER FORECAST;

USA, NEW YORK;

EID: 0032006071     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1923(97)00066-X     Document Type: Article

References (29)

1. Allen, W.H., Lambert, J.R., 1971a. Application of the principle of calculated risk to scheduling of supplemental irrigation: I. Concepts. Agri. Meteor. 8, 193-201.
2. Allen, W.H., Lambert, J.R., 1971b. Application of the principle of calculated risk to scheduling of supplemental irrigation. II: Use on flue-cured tobacco. Agri. Meteor. 8, 325-340.
3. Both, A.-J., 1995. Dynamic simulation of supplemental lighting for greenhouse hydroponic lettuce production. Ph.D. dissertation, Cornell Univ., 172 pp.
4. Clemen, R.T., 1996. Making Hard Decisions: An Introduction to Decision Analysis. Duxbury Press. Belmont, CA.
5. Collier, G.F., Tibbitts, T.W., 1982. Tipburn of lettuce. Hort. Rev. 4, 49-65.
6. Dallavalle, J.P., Jensenius, J.S. J.r., Gilbert, S.A., 1992. NGM-based MOS Guidance - the FOUS14/FWC Message. NOAA, Natl. Weather Service Tech. Proc. Bull. 408, 9.
7. Hamill, T.M., Wilks, D.S., 1995. A probabilistic forecast contest and the difficulty of assessing short-range forecast uncertainty. Weather and Forecasting 10, 620-631.
8. Horsfall, J.G., Cowley, E.A. (Eds.), 1977. Plant disease: An Advanced Treatise. Academic Press, New York.
9. Jackson, M.B., Drew, M.C., 1984. Effects of flooding on growth and metabolism of herbaceous plants. In: Kozlowski, T.T. (Ed.), Flooding and Plant Growth. Academic Press, Orlando, FL, pp. 47-128.
10. Katz, R.W., 1977. Precipitation as a chain-dependent process. J. Appl. Meteor. 16, 671-676.
11. Katz, R.W., Murphy, A.H. (Eds.), 1997. Economic value of weather and climate forecasts. Cambridge Univ. Press, 222 pp.
12. Keeney, R.L., 1982. Decision analysis: an overview. Operations Res. 30, 803-838.
13. Kennedy, J.O.S., 1986. Dynamic programming. Elsevier, 341 pp.
14. Lakitan, B., Wolfe, D.W., Zobel, R.W., 1992. Flooding affects snap bean yield and genotypic variation in leaf gas exchange and root growth response. J. Am. Soc. Hort. Sci. 117, 711-716.
15. McGuckin, J.T., Mapel, C., Lansford, R., Sammis, T., 1987. Optimal control of irrigation scheduling using a random time frame. Am. J. Agric. Econ. 69, 123-133.
16. Murphy, A.H., Brown, B.G., 1984. A comparative evaluation of objective and subjective weather forecasts in the United States. J. Forecasting 3, 370-393.
17. Oertli, J.J., 1997. Measurement of the resistance of cell walls to collapse during moisture stress. Proc. International Conf. Measurement Soil Plant Water Status. Utah State Univ., Logan, UT, USA, 1987, pp. 193-198.
18. Peirce, L.C., 1987. Vegetables: Characteristics, production and marketing. Wiley, New York.
19. Rhenals, A.E., Bras, R.L., 1981. The irrigation scheduling problem and evapotranspiration uncertainty. Water Resources Res. 17, 1323-1338.
20. Rogers, D.H., Elliott, R.L., 1988. Irrigation scheduling using risk analysis and weather forecasts. ASAE Paper No. 88-2043. Am. Soc. Agric. Eng. St. Joseph, MO.
21. Swancy, D.P., Mishoe, J.W., Jones, J.W., Boggess, W.G., 1983. Using crop models for management: impact of weather characteristics on irrigation decisions in soybeans. Trans. Am. Soc. Agri. Eng. 26, 1808-1814.
22. van Henten, E.J., 1994. Validation of a dynamic lettuce growth model for greenhouse climate control. Agric. Systems 45, 55-72.
23. Wilks, D.S., 1990a. On the combination of forecast probabilities for consecutive precipitation periods. Weather and Forecasting 5, 640-650.
24. Wilks, D.S., 1990b. Probabilistic quantitative precipitation forecasts derived from PoPs and conditional precipitation amount climatologies. Monthly Weather Rev. 118, 874-882.
25. Wilks, D.S., 1991. Representing serial correlation of meteorological events and forecasts in dynamic decision-analytic models. Monthly Weather Rev. 119, 1640-1662.
26. Wilks, D.S., 1997. Forecast value in prescriptive decision studies. In: Katz, R.W., Murphy, A.M. (Eds.), Economic Value of Weather and Climate Forecasts, Cambridge Univ. Press, pp. 109-145.
27. Wilks, D.S., Pitt, R.E., Fick, G.W., 1993. Modelling optimal alfalfa harvest scheduling using short-range weather forecasts. Agric. Systems 42, 277-305.
28. Wolfe, D.W., 1990. The challenge: expanding the utilization of irrigation scheduling principles. Acta Horticulturae 278, 879-886.
29. Wolfe, D.W., Henderson, D.W., Hsiao, T.C., Alvino, A., 1988. Interactive water and nitrogen effects on senescence of maize: I. Leaf area duration, nitrogen distribution, and yield. Agron. J. 80, 859-864.