Simulation of maize crop behavior under deficit irrigation using MOPECO model in a semi-arid environment

Domı́nguez, A.; Martínez, Roberto Simón; Juan, J.A. de; Martínez-Romero, A.; Tarjuelo, J.M.

doi:10.1016/j.agwat.2012.01.006

Cited by 43 publications

(13 citation statements)

References 37 publications

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“…The average hourly wage in Serbia is lower than in Hungary or Poland by a factor of nine (Kresović et al ., ). The ratio is roughly the same relative to Spain, where the hourly wage is €6.57 h −1 (Domínguez et al ., ). Compared to developed West European countries, the hourly wage in Serbia is much lower.…”

Section: Economic Evaluationmentioning

confidence: 97%

Profitability Assessment of Potato Production Applying Different Irrigation Methods

Matović

Broćić

Djuricin

et al. 2016

Irrigation and Drainage

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The present research was conducted during the dry and warm growing seasons of 2011, 2012 and 2013 at Guča, which is a well-known potato-growing region of Serbia. Potato was grown under both rainfed conditions and with irrigation, applying two methods: sprinkler and subsurface drip irrigation. The objective of the research was to conduct a comparative analysis and assess the profitability of potato production under rainfed conditions and with irrigation by these two methods. The main outcome of the research showed that higher yields and more profitable production are achievable with irrigation, compared to rainfed conditions. Subsurface drip irrigation was found to be more profitable than sprinkler irrigation. The results provided insight into the structure and distribution of income and expenses, the income and expense growth trend, the percentage profit growth in the case of sprinkler and subsurface drip irrigation, as well as potential income losses at the national level if the irrigation methods considered are not used. A detailed analysis of the production costs provided insight into the feasibility of optimizing potato-growing approaches for all three types of production. The higher profitability of irrigated potato production opens the question of the need to increase irrigation coverage in Serbia. Copyright © 2016 John Wiley & Sons, Ltd. RÉSUMÉLa présente recherche a été menée au cours des saisons de croissance des périodes chaudes et sèches des années 2011, 2012 et 2013 à Guča, une région de la Serbie bien connue pour la culture de la pomme de terre. La pomme de terre a été cultivée sous conditions pluviales et irriguées. Deux techniques d'irrigation sont utilisées: par aspersion et par goutte-à-goutte enterré. L'objectif de cette étude était de réaliser une analyse comparative et d'évaluer la rentabilité de la production de la culture de la pomme de terre en condition pluviale et par les deux techniques d'irrigation. Les résultats principaux de cette étude ont montré qu'un rendement plus élevé et une production plus rentable sont réalisables en conditions irriguées par rapport aux conditions pluviales. L'irrigation au goutte à goutte enterrée a été trouvée être plus rentable que l'irrigation par aspersion. Les résultats ont fourni un aperçu de la structure et de la répartition des revenus et des dépenses, la tendance de la croissance des revenus et des dépenses, la croissance de la marge bénéficiaire dans l'irrigation par aspersion et l'irrigation au goutte à goutte enterrée, ainsi que les pertes de revenus potentiels au niveau national si les techniques d'irrigation choisies ne sont pas utilisées. Une analyse détaillée des coûts de production a donné un aperçu sur la faisabilité de la croissance de l'approche d'optimisation de la culture de la pomme de terre pour les trois types de production. La rentabilité plus élevée de la production de la pomme de terre irriguée ouvre la question de la nécessité d'accroître la couverture de l'irrigation en Serbie.

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Section: Economic Evaluationmentioning

confidence: 97%

Profitability Assessment of Potato Production Applying Different Irrigation Methods

Matović

Broćić

Djuricin

et al. 2016

Irrigation and Drainage

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“…Long-term field studies can be prohibitively expensive, however (Khaledian et al 2009;Liu et al 2013) and, as a result, detailed crop production and soil process models are being increasingly applied as time and costsaving measures (Liu et al 2011a). Some popular models include AquaCrop (Raes et al 2009;Abedinpour et al 2012), MOPECO (de Juan et al 1996;Domı´nguez et al 2012), STICS (Brisson et al 1998;Constantin et al 2012), RZWQM (Hanson et al 1998;Ma et al 2012), and DSSAT (Jones et al 2003;Hoogenboom et al 2012), which have all been used under a wide variety of weather and soil conditions to simulate and predict cropping system performance and environmental impacts at field, regional and national scales. The DSSAT model in particular has been used extensively to predict crop yields (Arora et al 2007;Dettori et al 2011;Liu et al 2012), the impacts of climatic trends and variability on agricultural production (Andresen et al 2001;Persson et al 2009;Subash and Ram Mohan 2012), the effects of irrigation on crop growth (Dogan et al 2007;Rinaldi et al 2007;Salazar et al 2012), and the impacts of tillage on crop productivity (Castrignano et al 1997;Andales et al 2000;Liu et al 2013).…”

mentioning

confidence: 99%

Simulating maize (Zea mays L.) growth and yield, soil nitrogen concentration, and soil water content for a long-term cropping experiment in Ontario, Canada

et al. 2014

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Liu, S., Yang, J. Y., Drury, C. F., Liu, H. L. and Reynolds, W. D. 2014. Simulating maize (Zea mays L.) growth and yield, soil nitrogen concentration, and soil water content for a long-term cropping experiment in Ontario, Canada. Can. J. Soil Sci. 94: 435–452. A performance assessment of the Decision Support Systems for Agrotechnology Transfer (DSSAT) model (v4.5) including the CERES-Maize and CENTURY modules was conducted for continuous maize production under annual synthetic fertilization (CC-F) and no fertilization (CC-NF) using field data from a long-term (53-yr) cropping experiment in Ontario, Canada. The assessment was based on the accuracy with which DSSAT could simulate measured grain yield, above-ground biomass, leaf area index (LAI), soil inorganic nitrogen concentration, and soil water content. Model calibration for maize cultivar was achieved using grain yield measurements from CC-F between 2007 and 2012, and model evaluation was achieved using soil and crop measurements from both CC-F and CC-NF for the same 6-yr period. Good model–data agreement for CC-F grain yields was achieved for calibration (index of agreement, d=0.99), while moderate agreement for CC-NF grain yields was achieved for evaluation (d=0.79). Model–data agreement for above-ground biomass was good (d=0.83–1.00), but the model consistently underestimated for CC-F and overestimated for CC-NF. DSSAT achieved good model–data agreement for LAI in CC-F (d=0.82–0.99), but moderate to poor agreement in CC-NF (d=0.46–0.64). The CENTURY module of DSSAT simulated soil inorganic nitrogen concentrations with moderate to good model–data agreement in CC-F (d=0.74–0.88), but poor agreement in CC-NF (d=0.40–0.50). The model–data agreement for soil water content was moderate in 2007 and 2008 for both treatments (d=0.60–0.76), but poor in 2009 (d=0.46–0.53). It was concluded that the DSSAT cropping system model provided generally good to moderate simulations of continuous maize production (yield, biomass, LAI) for a long-term cropping experiment in Ontario, Canada, but generally moderate to poor simulations of soil inorganic nitrogen concentration and soil water content.

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“…Para gestionar una red colectiva de riego y su estación de bombeo con el fin de minimizar el coste de la energía eléctrica se ha partido de las necesidades establecidas por la programación de riegos en parcela establecida por el modelo MOPECO (Modelo de Optimización Económica del riego) (Domínguez et al, 2012a). Una herramienta implementada en MATLAB ® R2013b (Pratap, 2010;Lima, 2017) permite simular el comportamiento hidráulico de la red de distribución de agua y de la estación de bombeo para múltiples escenarios planteados (Figuras 1 y 2).…”

Section: Metodología Aplicadaunclassified

“…Para determinarlos hay que establecer una programación de riegos teniendo en cuenta aspectos climáticos, edáficos y de cultivo, principalmente (Allen et al, 1998). Existen programas de uso extendido para determinar una programación de riegos sin déficit como CropSyst (Stöckle et al, 2003) o para simular la respuesta del cultivo al estrés hídrico como AquaCrop (Steduto et al, 2009), pero sólo el modelo MOPECO (Domínguez et al, 2012a) calcula una programación de riegos que optimiza el rendimiento del cultivo para una cantidad de agua disponible, cuando ésta es menor o igual a los requerimientos máximos del cultivo. Este modelo está indicado para establecer programaciones de riego deficitario, especialmente en zonas donde el agua es el factor limitante.…”

Section: Introductionunclassified

Análisis del comportamiento de una red colectiva de riego considerando la programación de riego en parcela

et al. 2019

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<p>El objetivo del trabajo es implementar una herramienta de simulación para la gestión de una red colectiva de riego, que minimice el coste energético en la estación de bombeo. La metodología propuesta ha sido aplicada en el año 2015 a una red de riego de 550 ha en Castilla–La Mancha para dos manejos de la presión en cabecera (fijo o variable), según el conjunto de tomas abiertas y su localización en la red. La herramienta simula el comportamiento de la red utilizando EPANET® partiendo de la programación de riegos de los cultivos del conjunto de parcelas abastecidas por la red utilizando el modelo MOPECO. Los resultados indican que la simplicidad de la gestión de la red con altura de presión fija hace que este sistema sea más interesante que con altura variable, a pesar del ligero incremento de consumo de energía que conlleva, inferior al 2% en los casos analizados.</p>

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Simulation of maize crop behavior under deficit irrigation using MOPECO model in a semi-arid environment

Cited by 43 publications

References 37 publications

Profitability Assessment of Potato Production Applying Different Irrigation Methods

Profitability Assessment of Potato Production Applying Different Irrigation Methods

Simulating maize (Zea mays L.) growth and yield, soil nitrogen concentration, and soil water content for a long-term cropping experiment in Ontario, Canada

Análisis del comportamiento de una red colectiva de riego considerando la programación de riego en parcela

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