Your search found 10 records
1 Boggess, W. G.; Jones, J. W.; Swaney, D. P.; Lynne, G. D. 1981. Evaluating irrigation strategies in soybeans: A simulation approach. In American Society of Agricultural Engineers, Irrigation scheduling for water and energy conservation in the 80's. St. Joseph, MI, USA: ASAE. pp.45-53. (ASAE publication 23-81)
Irrigation scheduling ; Simulation models ; Water stress ; Soyabeans
(Location: IWMI-HQ Call no: 631.7.1 G000 AME Record No: H03374)

2 Jagtap, S. S.; Jones, J. W.. 1989. Stability of crop coefficients under different climate and irrigation management practices. Irrigation Science, 10(3):245-249.
Irrigation management ; Irrigation practices ; Crops ; Climate
(Location: IWMI-HQ Call no: PER Record No: H05690)

3 Jones, J. W.; Ritchie, J. T. 1990. Crop growth models. In Hoffman, G. J.; Howell, T. A.; Solomon, K. H. (Eds.), Management of farm irrigation systems. St. Joseph, MI, USA: ASAE. pp.63-89.
Plant growth ; Models ; Crop production ; Soyabeans ; Soil water ; Water balance ; Irrigation effects ; Infiltration ; Runoff ; Evapotranspiration ; Soil-water-plant relationships ; Water stress ; Irrigation management ; Computer models ; Sandy soils ; Nitrogen ; Fertilizers ; Maize
(Location: IWMI-HQ Call no: 631.7.8 G000 HOF Record No: H018306)

4 Hoogenboom, G.; Jones, J. W.; Boote, K. J. 1991. A decision support system for prediction of crop yield, evapotranspiration, and irrigation management. In Ritter, W. F. (Ed.), Irrigation and drainage: Proceedings of the 1991 National Conference sponsored by the Irrigation and Drainage Division of the American Society of Civil Engineers and the Hawaii Section, ASCE, Honolulu, Hawaii, July 22-26, 1991. New York, NY, USA: ASCE. pp.198-204.
Decision support tools ; Irrigation management ; Crop yield ; Evapotranspiration ; Computer models ; Simulation models
(Location: IWMI-HQ Call no: 631.7 G430 RIT Record No: H019886)
Computer simulation models have been developed which predict growth, development, and yield for grain legumes. These models can be applied for yield prediction as well as water management decisions. The soybean and peanut models, SOYGRO and PNUTGRO, were used to generate long-term yield, evapotranspiration, and irrigation demand for Gainesville, FL, and Tifton, GA, for six different soils. High yield levels were a function of location and total irrigation, while low yields were a function of location and soil water holding characteristics.

5 Negahban, B.; Moss, C. B.; Jones, J. W.; Zhang, J.; Boggess, W. G.; Campbell, K. L. 1996. Integrating optimization into a regional planning model using GIS. In Pigram, J. J. (Ed.), Security and sustainability in a mature water economy: A global perspective: Water and Resource Economics Consortium, proceedings of an international workshop, University of Melbourne, February 1996. Armidale, NSW, Australia: University of New England. Centre for Water Policy Research. pp.347-361.
GIS ; Models ; Optimization ; Regional planning ; Water quality ; Decision support tools ; Water resource management / USA / South Florida / Lake Okeechobee Watershed
(Location: IWMI-HQ Call no: 333.91 G000 PIG Record No: H020175)

6 Irmak, S.; Haman, D. Z.; Jones, J. W.. 2002. Evaluation of Class A pan coefficients for estimating reference evapotranspiration in humid location. Journal of Irrigation and Drainage Engineering, 128(3):153-159.
Evapotranspiration ; Estimation / USA / Florida
(Location: IWMI-HQ Call no: PER Record No: H030568)

7 Luijten, J. C.; Knapp, E. B.; Sanz, S. I.; Jones, J. W.. 2003. A role for GIS-based simulation for empowering local stakeholders in water resources negotiations in developing countries: Case studies for two rural hillside watersheds in Honduras and Colombia. Water Policy, 5(3):213-236.
Water resources ; Developing countries ; Simulation models ; GIS ; Watersheds ; Food security ; Water availability / Honduras / Colombia / Tascalapa River / Cabuyal River
(Location: IWMI-HQ Call no: PER Record No: H033236)

8 Bennett, J. M.; Jones, J. W.; Zur, B.; Hammond, L. C. 1986. Interactive effects of nitrogen and water stress on water relations of field-grown corn leaves. Agronomy Journal, 78:273-280.
Maize ; Water management ; Water stress ; Nitrogen ; Irrigated farming / USA / Florida
(Location: IWMI-HQ Call no: P 7694 Record No: H039577)
https://vlibrary.iwmi.org/pdf/H039577.pdf

9 Kropff, M. J.; Teng, P. S.; Aggarwal, P. K.; Bouma, J.; Bouman, B. A. M.; Jones, J. W.; Van Laar, H. H. (Eds.) 1997. Applications of systems approaches at the field level: proceedings of the Second International Symposium on Systems Approaches for Agricultural Development, International Rice Research Institute (IRRI), Los Banos, Philippines, 6-8 December 1995. Vol 2. Dordrecht, Netherlands: Kluwer. 465p. (Systems Approaches for Sustainable Agricultural Development 6)
Plant breeding ; Irrigated rice ; Nitrogen fertilizers ; Pests ; Maize ; Simulation models / Africa / Argentina
(Location: IWMI HQ Call no: 630.7 G000 LAN Record No: H044412)
http://vlibrary.iwmi.org/pdf/H044412_TOC.pdf
(0.35 MB)

10 Sishodia, R. P.; Shukla, S.; Graham, W. D.; Wani, S. P.; Jones, J. W.; Heaney, J. 2017. Current and future groundwater withdrawals: effects, management and energy policy options for a semi-arid Indian watershed. Advances in Water Resources, 110:459-475. [doi: https://doi.org/10.1016/j.advwatres.2017.05.014]
Groundwater management ; Groundwater extraction ; Watersheds ; Aquifers ; Energy policies ; Water availability ; Water balance ; Water use efficiency ; Water storage ; Irrigated farming ; Tube wells ; Economic aspects ; Strategies ; Semiarid zones ; Rivers ; Stream flow ; Hydrology ; Models / India / Kothapally Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H048514)
https://vlibrary.iwmi.org/pdf/H048514.pdf
(3.08 MB)
Effects of future expansion/intensification of irrigated agriculture on groundwater and surface water levels and availability in a semi-arid watershed were evaluated using an integrated hydrologic model (MIKE SHE/MIKE 11) in conjunction with biophysical measurements. Improved water use efficiency, water storage, and energy policy options were evaluated for their ability to sustain the future (2035) increased groundwater withdrawals. Three future withdrawal scenarios (low = 20, medium = 30, high = 50 wells/100 km2/year) based on the historical rate of growth of irrigation wells were formulated. While well drying from falling groundwater levels was limited to drought and consecutive below average rainfall years, under the current (2015) withdrawals, significant increases in frequency and duration (17–97 days/year) of well drying along with 13–26% (19–37 mm) reductions in surface flows were predicted under the future withdrawals. Higher (27–108%) energy demands of existing irrigation pumps due to declining groundwater levels and reduced hydroelectric generation due to decreased surface flows would create a vicious water-food-energy nexus in the future. Crop failure, one of the main causes of farmers’ emotional distress and death in the region, is predicted to exacerbate under the future withdrawal scenarios. Shift to negative net recharge (-63 mm) and early and prolonged drying of wells under the high scenario will reduce the groundwater availability and negatively affect crop production in more than 60% and 90% of cropped areas in the Rabi (November–February) and summer (March–May) seasons, respectively during a drought year. Individual and combined demand (drip irrigation and reduced farm electricity subsidy) and supply (water storage) management options improved groundwater levels and reduced well drying by 55–97 days/year compared to business-as-usual management under the high scenario. The combined management (50% drip conversion, 50% reduction in subsidy, and enhanced water storage) mitigated well drying even during drought and consecutive below average rainfall years under the high scenario. A conservative economic evaluation for management options under the high scenario showed increases in crop production and per farmer annual profits by $987–$1397 during a drought year (average household income=$1520/year). A scale-up of results showed that diverting 50% state power subsidy ($6 billion for 3–6 years) can almost entirely fund the conversion to drip irrigation ($4.2 billion) and water storage structures ($2.9 billion) and help meet the water supply demand of a 50% increase in irrigated area under the high scenario. Converting flood to drip irrigation in 50% of irrigated area under the high scenario can reduce the electric energy consumption (7 × 106Mwh/year) and carbon footprint (6000 Mt/year) of groundwater irrigation by 24% in the state. Management options considered can potentially create a sustainable water-food-energy nexus in the larger semi-arid hard rock region. Reducing the power subsidy will require a strong political will since it has been used as a tool to win the elections in India. Considering future agricultural intensification, timely interventions are needed to ensure the livelihood and well-being of millions of small- and medium-scale farmers that rely on low storage, hard rock aquifers in the semi-arid regions of the world.

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