Your search found 5 records
1 Epperson, J. E.; Hook, J. E.; Mustafa, Y. R. 1993. Dynamic programming for improving irrigation scheduling strategies of Maize. Agricultural Systems, 42(1&2):85-101.
(Location: IWMI-HQ Call no: PER Record No: H012398)
2 Chesness, J. L.; Cochran, D. L.; Hook, J. E.. 1986. Predicting seasonal irrigation water requirements on coarse-textured soils. In American Society of Agricultural Engineers, Transactions of the ASAE: Special edition - Soil and Water, Vol.29. St. Joseph, MI, USA: ASAE. pp.1054-1057.
Water balance ; Water requirements ; Soil texture ; Rainfall-runoff relationships ; Precipitation ; Percolation ; Soil water movement ; Simulation models / USA
(Location: IWMI-HQ Call no: 631.4 G000 AME Record No: H013856)
3 Hook, J. E.. 1994. Using crop models to plan water withdrawals for irrigation in drought years. Agricultural Systems, 45(3):271-289.
Water requirements ; Water management ; Crop production ; Irrigation water ; Water use ; Models ; Drought / USA / Georgia
(Location: IWMI-HQ Call no: PER Record No: H014274)
Knowledge of water demands during periods of severe drought is needed to develop strategies for water management. The potential (no-water stress) and the lowest (no irrigation) yields for corn, soybean and peanut were calculated using three crop growth and water use models - CERES-Maize, SOYGRO, and PNUTGRO. Rainfall, temperature, and solar radiation records were used with these models to identify the 15 most severe drought years in the 53 year record in a 36-county region of Georgia that contains almost 75% of Georgia's irrigated land. In the 15 driest years, simulated yield losses averaged 75% for corn, 73% for soybean, and 64% for peanut. Irrigation amount and timing needed to provide 90% of the no-stress yields were calculated. Most of the irrigation needs of corn in these drought years occurred before that of peanut or soybean. For the reported irrigated crop acreage of the study area, simulated water withdrawals exceeded 3 million m3 per day, on the average, for most of the 130 days between late May and late September. Further application of the techniques used here could lead to regional or watershed specific estimates of maximum water needs.
4 Camp, C. R.; Sadler, E. J.; Sneed, R. E.; Hook, J. E.; Ligetvari, F. 1990. Irrigation for humid areas. In Hoffman, G. J.; Howell, T. A.; Solomon, K. H. (Eds.), Management of farm irrigation systems. St. Joseph, MI, USA: ASAE. pp.551-578.
Water supply ; Water conservation ; Irrigation requirements ; Water requirements ; Evapotranspiration ; Irrigation systems ; Irrigation efficiency ; Economic aspects ; Institutional constraints ; Plant growth ; Simulation models ; Irrigation management ; Irrigation scheduling ; Computer techniques / USA
(Location: IWMI-HQ Call no: 631.7.8 G000 HOF Record No: H018316)
5 Boken, V. K.; Hoogenboom, G.; Hook, J. E.; Thomas, D. L.; Guerra, L. C.; Harrison, K. A. 2004. Agricultural water use estimation using geospatial modeling and a geographic information system. Agricultural Water Management, 67(3):185-199.
Irrigated farming ; GIS ; Models ; Cotton ; Maize ; Water use ; Conflict / USA / Georgia / Alabama / Florida
(Location: IWMI-HQ Call no: PER Record No: H035179)
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