Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 501846
Title Deep drainage modeling for a fertigated coffee plantation in the brazilian savanna
Author(s) Pinto, Victor Meriguetti; Reichardt, Klaus; Dam, Jos van; Lier, Quirijn D.J.V.; Bruno, Isabeli Pereira; Durigon, Angelica; Dourado-Neto, Durval; Bortolotto, Rafael Pivotto
Source Agricultural Water Management 148 (2015). - ISSN 0378-3774 - p. 130 - 140.
DOI https://doi.org/10.1016/j.agwat.2014.09.029
Department(s) Soil Physics and Land Management
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) Brazil - Deep drainage - Savanna - SWAP - Water productivity
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=. 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.

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