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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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    References listed on IDEAS

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    1. Mondaca-Duarte, F.D. & van Mourik, S. & Balendonck, J. & Voogt, W. & Heinen, M. & van Henten, E.J., 2020. "Irrigation, crop stress and drainage reduction under uncertainty: A scenario study," Agricultural Water Management, Elsevier, vol. 230(C).

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