Evaluation of the AquaCrop model for barley production under deficit irrigation and rainfed condition in Iran

Tavakoli, Ali; Moghadam, Mehran Mahdavi; Sepaskhah, Ali Reza

doi:10.1016/j.agwat.2015.07.020

Cited by 41 publications

(30 citation statements)

References 18 publications

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“…To address the above concerns and create an ideal balance between accuracy and simplicity, the Food and Agriculture Organization of the United Nations (FAO) has established the AquaCrop model (Steduto et al, ). This model has been used globally for crop growth modelling for different crops under diverse agro‐ecological conditions (Rezaverdinejad et al, ; Tavakoli et al, ). The AquaCrop model is an important tool with a major focus on increasing the number of irrigated zones and water consumption (da Silva, ).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Aquacrop Model in Simulating Bitter Gourd Water Productivity Under Saline Irrigation

Soomro

Alaghmand

Shahid

et al. 2019

Irrigation and Drainage

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The agricultural sector, globally, faces multifaceted challenges to produce more with a minimum amount of water to enhance water productivity (WP). In this regard, crop modelling is an efficient approach for estimating WP and plays a significant role in addressing water management strategies. The present research has been conducted in Malir, Karachi—a semi‐arid region in the Sindh Province of Pakistan. The aim was to evaluate the effects of two different qualities of irrigation water including, fresh quality (IT1 0.56 dS m−1) and saline groundwater (IT2 2.89 dS m−1) on canopy cover (CC), biomass, crop yield and water productivity (WP) of bitter‐gourd. The AquaCrop model was used for the first time for bitter gourd in a semi‐arid region under drip irrigation. Simulations were carried out for two cropping seasons (i.e. season one (summer) and season two (winter). The modelled values were slightly higher than the measured biomass and yield values in both calibration and validation procedures. The performance of the AquaCrop model was estimated through different statistical indicators such as model efficiency (E), root mean square error (RMSE), and index of agreement (dindex). These indicators revealed that the model simulated bitter gourd biomass and crop yield well. In addition, the model's performance was good under all irrigation treatments, with RMSE in the range 1.2–3.7, 0.5–1.8, dindex 0.94–0.98 and E 0.93–0.97. The model also overestimated the biomass and crop yield. Overall, the AquaCrop model overestimated biomass and crop yield for both seasons. © 2019 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Aquacrop Model in Simulating Bitter Gourd Water Productivity Under Saline Irrigation

Soomro

Alaghmand

Shahid

et al. 2019

Irrigation and Drainage

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“…Es de gran aplicabilidad para realizar análisis y/o estudios del rendimiento con base en las condiciones hídricas en determinados periodos; por ejemplo, en condiciones de secano o con la lluvia bajo proyecciones ante cambios estimados en el clima (Tavakoli et al, 2015). También es útil para comparar los rendimientos reales de un año determinado en relación con lo que se hubiera debido obtener "en forma teórica".…”

Section: Modelo Aquacropunclassified

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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“…AquaCrop has been utilised in many studies (e.g. Abedinpour et al, 2012;Araya et al, 2016;Battisti et al, 2017;Bello and Walker, 2016;Greaves and Wang, 2017;Katerji et al, 2013;Mirsafi et al, 2016;Montoya et al, 2016;Mustafa et al, 2017;Paredes et al, 2014;Paredes et al, 2015;Pawar et al, 2017;Razzaghi et al, 2017;Tavakoli et al, 2015;Yuan et al, 2013) The rain-shelter has a rain sensor that triggers an electric motor during a rainfall event and the shelter automatically covers the experimental field. Therefore, the experiment experiences normal field conditions, except when it is raining (Mabhaudhi et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Assessment of nutritional water productivity and improvement strategies for traditional vegetables in South Africa

Nyathi

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Evaluation of the AquaCrop model for barley production under deficit irrigation and rainfed condition in Iran

Cited by 41 publications

References 18 publications

Evaluation of Aquacrop Model in Simulating Bitter Gourd Water Productivity Under Saline Irrigation

Evaluation of Aquacrop Model in Simulating Bitter Gourd Water Productivity Under Saline Irrigation

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

Assessment of nutritional water productivity and improvement strategies for traditional vegetables in South Africa

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