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Deep drainage modeling for a fertigated coffee plantation in the Brazilian savanna

Author

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  • Pinto, Victor Meriguetti
  • Reichardt, Klaus
  • van Dam, Jos
  • Lier, Quirijn de Jong van
  • Bruno, Isabeli Pereira
  • Durigon, Angelica
  • Dourado-Neto, Durval
  • Bortolotto, Rafael Pivotto

Abstract

Modeling in agriculture represents an important tool to understand processes as water and nutrient losses by drainage, or to test different conditions and scenarios of soil and crop management. Among the existing computational models to describe hydrological processes, SWAP (Soil, Water, Atmosphere and Plant model) has been successfully used under several conditions. This model was originally developed to simulate short cycle crops and its use also to cover longer cycles, e.g. perennial crops, is a new application. This report shows a SWAP application to a mature coffee crop over one-production cycle, focusing on deep drainage losses in a typical soil–plant–atmosphere system of the Brazilian savanna (Cerrado). The estimated annual deep drainage Q=1019mm obtained by SWAP was within 99% of the value determined by the climatologic water balance of 1010mm. Monthly results of SWAP for Q compared to the estimative using the climatological method presented a determination coefficient of 0.77. A variety of coffee fertigation scenarios were simulated using SWAP and compared to farmer's management scenario, leading to the conclusion that larger irrigation intervals result in lower Q losses, better water productivity and higher crop yield.

Suggested Citation

  • Pinto, Victor Meriguetti & Reichardt, Klaus & van Dam, Jos & Lier, Quirijn de Jong van & Bruno, Isabeli Pereira & Durigon, Angelica & Dourado-Neto, Durval & Bortolotto, Rafael Pivotto, 2015. "Deep drainage modeling for a fertigated coffee plantation in the Brazilian savanna," Agricultural Water Management, Elsevier, vol. 148(C), pages 130-140.
    • Handle: RePEc:eee:agiwat:v:148:y:2015:i:c:p:130-140
    DOI: 10.1016/j.agwat.2014.09.029
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    1. Utset, Angel & Velicia, Herminio & del Rio, Blanca & Morillo, Rodrigo & Centeno, Jose Antonio & Martinez, Juan Carlos, 2007. "Calibrating and validating an agrohydrological model to simulate sugarbeet water use under mediterranean conditions," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 11-21, December.
    2. Vazifedoust, M. & van Dam, J.C. & Feddes, R.A. & Feizi, M., 2008. "Increasing water productivity of irrigated crops under limited water supply at field scale," Agricultural Water Management, Elsevier, vol. 95(2), pages 89-102, February.
    3. Noory, H. & van der Zee, S.E.A.T.M. & Liaghat, A.-M. & Parsinejad, M. & van Dam, J.C., 2011. "Distributed agro-hydrological modeling with SWAP to improve water and salt management of the Voshmgir Irrigation and Drainage Network in Northern Iran," Agricultural Water Management, Elsevier, vol. 98(6), pages 1062-1070, April.
    4. Ben-Asher, J. & van Dam, J. & Feddes, R.A. & Jhorar, R.K., 2006. "Irrigation of grapevines with saline water: II. Mathematical simulation of vine growth and yield," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 22-29, May.
    5. Bennett, Sarah Ji & Bishop, Thomas F.A. & Vervoort, R. Willem, 2013. "Using SWAP to quantify space and time related uncertainty in deep drainage model estimates: A case study from northern NSW, Australia," Agricultural Water Management, Elsevier, vol. 130(C), pages 142-153.
    6. Verma, A.K. & Gupta, S.K. & Isaac, R.K., 2012. "Use of saline water for irrigation in monsoon climate and deep water table regions: Simulation modeling with SWAP," Agricultural Water Management, Elsevier, vol. 115(C), pages 186-193.
    7. Mishra, Ashok & Siderius, Christian & Aberson, Kenny & van der Ploeg, Martine & Froebrich, Jochen, 2013. "Short-term rainfall forecasts as a soft adaptation to climate change in irrigation management in North-East India," Agricultural Water Management, Elsevier, vol. 127(C), pages 97-106.
    8. Ines, Amor V.M. & Honda, Kiyoshi & Das Gupta, Ashim & Droogers, Peter & Clemente, Roberto S., 2006. "Combining remote sensing-simulation modeling and genetic algorithm optimization to explore water management options in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 83(3), pages 221-232, June.
    9. Singh, Uttam Kumar & Ren, Li & Kang, Shaozhong, 2010. "Simulation of soil water in space and time using an agro-hydrological model and remote sensing techniques," Agricultural Water Management, Elsevier, vol. 97(8), pages 1210-1220, August.
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