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A Simple and Farmer-Friendly Decision Support System for Enhancing Water Use Efficiency in Agriculture:Tool Development, Testing and Validation


Affiliations
1 ICRISAT Development Centre, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, India
 

In the semi-arid tropics (SAT) farmers practice calendar- based irrigation scheduling, which generally results in over irrigation and poor water use efficiency. The lack of a simple decision tool to decide timing and quantity of water to be applied is a bottleneck. An Excel-based decision support system termed Water Impact Calculator (WIC) is developed using data collected at the ICRISAT, which were validated at three pilot sites on farmers' fields in Rajasthan, Gujarat and Telangana. Field studies were conducted under two land-form treatments (broad bed and furrow (BBF) and flat fields); and irrigation water was applied following two different methods (drip and flood). The data collected at micro-watershed at the ICRISAT and three other sites showed that WIC could be used under wide range of soil and rainfall conditions. WIC simulated soil moisture was comparable with the observed moisture data, which forms the basis of irrigation scheduling. The WIC-based water balance at these experimental sites showed that number and amount of irrigation could be reduced by 30-40% using WIC-based irrigation scheduling without compromising the crop yield. The WIC could be a potential tool for water resources planning and efficient management at the field and watershed scale in the SAT.

Keywords

Consumptive Water Use, Semi-Arid Tropics, Water Impact Calculator, Irrigation Scheduling, Water Balance.
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  • Gordon, L. J., Finlayson, C. M. and Falkenmark, M., Managing water in agriculture for food production and other ecosystem services. Agric. Water Manage., 2010, 97, 512–519.

  • Rockström, J. et al., Managing water in rainfed agriculture. In Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture (ed. Molden, D. et al.), Earthscan, London, UK and International Water Management Institute, Colombo, Sri Lanka, 2007, pp. 315–348.

  • de Fraiture, C., Wichelns., D., Rockstrom, J. and Kemp-Benedict, E., Looking ahead to 2050: scenarios of alternative investment approaches. In Comprehensive Assessment of Water Management in Agriculture, Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture, chapter 3 (ed. Molden, D.), International Water Management Institute, Colombo, Earthscan, London, 2007, pp. 91–145.

  • Khan, S. and Hanjra, M. A., Footprints of water and energy inputs in food production – global perspectives. Food Policy, 2009, 34, 130–140.

  • Hanjra, M. A. and Qureshi, M. E., Global water crisis and future food security in an era of climate change. Food Policy, 2010, 35, 365–377.

  • Wani, S. P., Garg, K. K., Singh, A. K. and Rockstrom, J., Sustainable management of scarce water resource in tropical rainfed agriculture. In Soil Water and Agronomic Productivity (eds Lal, R. and Stewart, B. A.), Advances in Soil Science, CRC Press, United Kingdom, 2012, pp. 347–408.

  • FAO, CROPWAT – a computer program for irrigation planning and management, 1992; Online available at http://www.fao.org/nr/water/infores_databases_cropwat.html

  • Falkenmark, M., Land-water linkages – a synopsis, land and water integration and river basin management. FAO Land Water Bull., 1995, 1, 15–16.

  • USDA SCS, National Engineering Handbook Section 4. Hydrology, USDA-SCS, Washington, DC, USA, 1972.

  • Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Williams, J. R. and King, K. W., Soil and water assessment tool, Theoretical documentation, 2005.

  • Hawkins, R., Asymptotic determination of runoff curve numbers from data. J. Irrig. Drain Eng., 1993, 119, 334–325.

  • Thornthwaite, C. W., An approach toward a rational classification of climate. Geogr. Rev., 1948, 38, 55–94.

  • Penman, H. L., Evaporation: An introductory survey, Netherlands. J. Agric. Sci., 1956, 1, 9-29; 87–97; 151–153.

  • Allen, R. G., Pereira, L. S., Raes, D. and Smith, M., Crop evapotranspiration: guidelines for computing crop water requirements, FAO Irrigation and Drainage Paper No. 56, Rome, Italy; United Nations, FAO, 1998.

  • Garg, K. K., Karlberg, L., Barron, J., Wani, S. P. and Rockstrom, J., Assessing impact of agricultural water interventions at the Kothapally watershed, Southern India, Hydrol. Processes, 2012, 26, 387–404.

  • Garg, K. K. and Wani, S. P., Opportunities to build groundwater resilience in the semi-arid tropics. Groundwater National Ground Water Association. Groundwater, 2013, 51, 679–691.

  • Singh, P., Alagarswamy, Pathak, P., Wani, S. P., Hoogenboom, G. and Virmani, S. M., Soybean–chickpea rotation on Vertic Inceptisol I, Effect of soil depth and landform on light interception, water balance and crop yields. Field Crop Res., 1999, 63, 211–224.

  • Government of India, Final report of minor irrigation watershed management for the twelfth five year plan (2012–2017), Planning Commission, Government of India, New Delhi, 2012.


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  • A Simple and Farmer-Friendly Decision Support System for Enhancing Water Use Efficiency in Agriculture:Tool Development, Testing and Validation

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Authors

Kaushal K. Garg
ICRISAT Development Centre, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, India
Suhas P. Wani
ICRISAT Development Centre, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, India
Mukund D. Patil
ICRISAT Development Centre, International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, India

Abstract


In the semi-arid tropics (SAT) farmers practice calendar- based irrigation scheduling, which generally results in over irrigation and poor water use efficiency. The lack of a simple decision tool to decide timing and quantity of water to be applied is a bottleneck. An Excel-based decision support system termed Water Impact Calculator (WIC) is developed using data collected at the ICRISAT, which were validated at three pilot sites on farmers' fields in Rajasthan, Gujarat and Telangana. Field studies were conducted under two land-form treatments (broad bed and furrow (BBF) and flat fields); and irrigation water was applied following two different methods (drip and flood). The data collected at micro-watershed at the ICRISAT and three other sites showed that WIC could be used under wide range of soil and rainfall conditions. WIC simulated soil moisture was comparable with the observed moisture data, which forms the basis of irrigation scheduling. The WIC-based water balance at these experimental sites showed that number and amount of irrigation could be reduced by 30-40% using WIC-based irrigation scheduling without compromising the crop yield. The WIC could be a potential tool for water resources planning and efficient management at the field and watershed scale in the SAT.

Keywords


Consumptive Water Use, Semi-Arid Tropics, Water Impact Calculator, Irrigation Scheduling, Water Balance.

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DOI: https://doi.org/10.18520/cs%2Fv110%2Fi9%2F1716-1729