Combining the simulation crop model AquaCrop with an economic model for the optimization of irrigation management at farm level

García-Vila, Margarita; Fereres, E.

doi:10.1016/j.eja.2011.08.003

Cited by 188 publications

(76 citation statements)

References 36 publications

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“…The potential interactions between these factors must be considered in order to provide wise strategies for water management (Katerji et al, 2008;Garcia-Vila and Fereres, 2012). This aim can be reached through the correct use of crop models (Brisson et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration of tomato simulated with the CRITERIA model

Campi¹,

Modugno²,

Mastrorilli³

et al. 2014

Ital J Agronomy

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The CRITERIA model simulates crop development and water dynamics in agricultural soils at different spatial scales. The objective of this paper was to test CRITERIA in order to evaluate the suitability of the model as a tool for scheduling irrigation at field scale. The first step of the work was to validate this hypothesis, by means of calibration and validation of CRITERIA on processing tomato in two experimental sites in Southern Italy (Rutigliano and Foggia) for the years 2007 and 2008 under different irrigation regimes. The irrigation treatments were: i) absence of plant water stress (the control treatments set up for both years and sites), ii) moderately stressed (applied in Rutigliano for 2007), and iii) severely stressed (applied in Foggia for 2008). The second step consisted in the evaluation of the expected impact of different irrigation regimes on daily actual evapotranspiration. For model calibration, the 2007 data of the control treatment was used, whereas in the validation process of actual evapotranspiration, the other part of the dataset was used. The observed data were crop evapotranspiration, agrometeorological data, leaf area index, physical-chemical and hydrological characteristics of soil, phenological stages and irrigation management. In order to evaluate model performance we used three statistical indicators to compare simulated and measured values of actual evapotranspiration: the normalised differences of seasonal values are less than 10% for all treatments; the model efficiency index on the typical period between two irrigations (4 days) was positive for all treatments, with the best values in the Foggia site, for both the irrigated and the severely stressed experiments; the relative root mean square error (RRMSE) was smaller than 20% in both the control treatments, but higher than 30% for the stressed treatments. The increase in RRMSE for the stressed experiments is due to CRITERIA simulating a crop in good soil water conditions and, as a consequence, with a larger evapotranspiration demand with respect to water stressed crop.Therefore, we can consider CRITERIA as a suitable tool to manage irrigations of processed tomato, especially for the full irrigation regime; an improvement can be reached by simulating the impact of water stress conditions on the eco-physiological parameters of the crop, in order to use the model also under deficit irrigation regimes. IntroductionItaly is one of the world's major producers of processing tomatoes (Lycopersicum esculentum Mill.), with a production of 600,000 t (in 2009), amounting to 23% of world production. In Puglia, the tomato crop is particularly common, with an incidence of 29% of Italian production (ISTAT, 2012).In southern Italy, the water consumption for this crop was estimated between 400 and 600 mm depending on climatic conditions (Rana et al., 2012). The production, in terms of fresh fruit yield, ranges from 80 to 160 t ha -1 (Rinaldi et al., 2011).Water management is a crucial point for the tomato crops, given the limited availab...

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Section: Introductionmentioning

confidence: 99%

Evapotranspiration of tomato simulated with the CRITERIA model

Campi¹,

Modugno²,

Mastrorilli³

et al. 2014

Ital J Agronomy

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“…Los modelos de simulación CropWat v8.0 y AquaCrop estiman el requerimiento hídrico de los cultivos (Bouraima et al, 2015;Charchousi et al, 2014;Dechmi et al, 2003;Silva et al, 2015), al igual que su rendimiento o el porcentaje de reducción según las condiciones climáticas o meteorológicas en un lugar y momento determinado (Andarzian et al, 2011;Araya et al, 2010;García-Vila y Fereres, 2012;Vanuytrecht et al, 2014). Son útiles para definir las fechas óptimas de siembra en relación con las predicciones climáticas en condiciones de años análogos bajo la influencia de anomalías climáticas, asociadas al fenómeno El Niño-Oscilación del Sur (ENSO o ENOS).…”

Section: Introductionunclassified

Los balances hídricos agrícolas en modelos de simulación agroclimáticos. Una revisión analítica

Cleves

Toro

Martínez

2016

Rev. Colomb. Cienc. Hortic.

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RESUMENEn este artículo se analiza la aplicabilidad de los modelos agroclimáticos de simulación de cultivos CropWat v 8.0 y AquaCrop bajo la ocurrencia de los eventos ENOS (El Niño-Oscilación del Sur) y de cambio climá-tico. Igualmente se resalta la importancia de estos modelos porque permiten a los agricultores implementar medidas de manejo y ubicación de cultivares teniendo en cuenta las condiciones climáticas para participar desde el contexto territorial en el diseño e implementación de estrategias de mitigación y/o adaptación. De manera complementaria se comparan las diferentes metodologías utilizadas para la determinación de la evapotranspiración de referencia (ET o ) y se describen los atributos, características y aplicabilidad en la ecuación Penman-Monteith. Finalmente se define las variables del balance hídrico agrícola, indicando su aplicabilidad en la conservación o aumento de la productividad en diferentes escenarios. Se concluye que estos modelos son herramientas técnicas fundamentales en la planificación de siembras y de cosechas. ABSTRACTThis article analyzes the applicability of the agroclimatic crop simulation models CropWat v 8.0 and AquaCrop in the occurrence of ENSO (El Niño-Southern oscillation) events and climate change. The importance of these models is significant because they help farmers implement management measures and locate cultivars taking into account climatic conditions, thus allowing their participation, from the territorial context, in the design and implementation of strategies for mitigation and/or adaptation. Different methodologies used for determining the reference evapotranspiration (ET o ) were compared, and the attributes, characteristics and applicability with the Penman-Monteith equation were described. Finally, the variables of the agricultural water balance were determined, along with their applicability regarding the preservation or the increase of productivity in different scenarios. It was concluded that these models are essential technical tools for planning sowing and harvests.

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“…Several water balance models refer to this approach, for example, the FAO AquaCrop model (Heng et al, 2009). AquaCrop or similar models are often used as decision support for irrigation scheduling (e.g., Garcia-Vila and Fereres, 2011;Geerts et al, 2010;Montoya et al, 2015). Although models represent only a simplification of natural processes, they are easily available and users can simulate different (future) scenarios by modifying the input data or the model parameters.…”

Section: Quantifying Soil Water Balance Componentsmentioning

confidence: 99%

A review on the quantification of soil water balance components as a basis for agricultural water management with a focus on weighing lysimeters and soil water sensors / Ein Überblick über die Ermittlung von Wasserhaushaltsgrößen als Basis für die landeskulturelle Wasserwirtschaft mit Fokus auf Lysimeter und Bodenwassersensoren

Nolz

2016

Die Bodenkultur: Journal of Land Management, Food and Environment

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SummaryKnowing the components of a soil water balance-for example, evapotranspiration, soil water content, and precipitation-is the basis for agricultural water management. Weighing lysimeters and soil water sensors are commonly used to quantify these components. Data can be used to validate common models to estimate evapotranspiration based on meteorological data, for instance. As every measurement device has its own characteristics, it is helpful to assess and improve the performance of a system to obtain best possible data. Recent developments in the processing of lysimeter data allow determining both evapotranspiration and precipitation directly from lysimeter data. Resulting datasets are characterized by a proper accuracy, completeness, and a high temporal resolution. Soil water sensors usually measure a physical property that is related to soil water content or matric potential via a specific calibration function. Hence, measurement accuracy depends not only on this calibration but also on basic physical principles and material properties. Knowing the performance of a device is, therefore, essential for the selection of an adequate sensor arrangement and truthful data interpretation. Advanced soil water monitoring sites combine different sensor types that are integrated into a wireless network to enable real-time data availability and provide a basis for large-scale monitoring. Keywords

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Combining the simulation crop model AquaCrop with an economic model for the optimization of irrigation management at farm level

Cited by 188 publications

References 36 publications

Evapotranspiration of tomato simulated with the CRITERIA model

Evapotranspiration of tomato simulated with the CRITERIA model

Los balances hídricos agrícolas en modelos de simulación agroclimáticos. Una revisión analítica

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