TY - JOUR
T1 - Deep drainage modeling for a fertigated coffee plantation in the brazilian savanna
AU - Pinto, Victor Meriguetti
AU - Reichardt, Klaus
AU - van Dam, Jos
AU - Lier, Quirijn D.J.V.
AU - Bruno, Isabeli Pereira
AU - Durigon, Angelica
AU - Dourado-Neto, Durval
AU - Bortolotto, Rafael Pivotto
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Brazil
KW - Deep drainage
KW - Savanna
KW - SWAP
KW - Water productivity
U2 - 10.1016/j.agwat.2014.09.029
DO - 10.1016/j.agwat.2014.09.029
M3 - Article
AN - SCOPUS:84908573209
SN - 0378-3774
VL - 148
SP - 130
EP - 140
JO - Agricultural Water Management
JF - Agricultural Water Management
ER -