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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

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Autor(es):
Pinto, Victor Meriguetti [1] ; Reichardt, Klaus [1] ; van Dam, Jos [2, 3] ; van Lier, Quirijn de Jong [1] ; Bruno, Isabeli Pereira [4] ; Durigon, Angelica [1] ; Dourado-Neto, Durval [5] ; Bortolotto, Rafael Pivotto [6]
Número total de Autores: 8
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Ctr Nucl Energy Agr, Soil Phys Lab, BR-13416970 Piracicaba, SP - Brazil
[2] Wageningen Univ, Dept Environm Sci, NL-6700 AA Wageningen - Netherlands
[3] Res Ctr, NL-6700 AA Wageningen - Netherlands
[4] IAPAR, Agron Inst Parana, BR-86047902 Londrina, PR - Brazil
[5] Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dept Crop Sci, BR-13418097 Piracicaba, SP - Brazil
[6] Univ Fed Santa Maria, Soil Div, BR-97105900 Santa Maria, RS - Brazil
Número total de Afiliações: 6
Tipo de documento: Artigo Científico
Fonte: Agricultural Water Management; v. 148, p. 130-140, JAN 31 2015.
Citações Web of Science: 2
Resumo

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 = 1019 mm obtained by SWAP was within 99% of the value determined by the climatologic water balance of 1010 mm. 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. (C) 2014 Elsevier B.V. All rights reserved. (AU)

Processo FAPESP: 11/22320-1 - Modelagem do destino do nitrogênio proveniente de uréia marcada com N-15 em cultura de café fertirrigada
Beneficiário:Victor Meriguetti Pinto
Modalidade de apoio: Bolsas no Brasil - Doutorado