Assessment of AquaCrop Model in Simulating Sugar Beet Canopy Cover, Biomass and Root Yield under Different Irrigation and Field Management Practices in Semi-Arid Regions of Pakistan

Malik, Abdul; Shakir, Abdul Sattar; Ajmal, Muhammad; Khan, Muhammad Jamal; Khan, Taj Ali

doi:10.1007/s11269-017-1745-z

Cited by 28 publications

(22 citation statements)

References 14 publications

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“…Overall, the model overestimated the biomass collected, with deviations becoming more distinct in IT 2 in both seasons. These indicators showed that the model normally simulated bitter gourd CC for IT 2 and the findings are supported by a past study in which AquaCrop overestimated the biomass and yield when 40% deficit irrigation was applied (Malik et al, 2017). This was reported during a field experiment on AquaCrop model assessment in simulating sugar-beet biomass, CC and root yield in Pakistan.…”

Section: Validation Of the Modelsupporting

confidence: 82%

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: Validation Of the Modelsupporting

confidence: 82%

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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“…Therefore, it was difficult to adjust the measured crop data that were distinctly different between PM and NM treatments to the input data of one set of crop parameters. So, based on the method from the studies which used AquaCrop to simulate crop growth under PM and NM conditions [14,31], we established two sets of crop parameters and corresponding mulching parameters: PM and NM. In the module of field management, AquaCrop provided the option of mulches, where the user could specify the degree of soil cover and the type of surface mulches.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

Evaluation of AquaCrop Model for Foxtail Millet (Setaria italica) Growth and Water Use with Plastic Film Mulching and No Mulching under Different Weather Conditions

Guo

Chen

Guo

et al. 2018

Water

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Abstract:The water-driven AquaCrop model is used extensively for simulating crop growth and water use. A three-year field experiment (2015-2017) of foxtail millet (Setaria italica) that was grown using plastic film mulching (PM) and no mulching (NM) was conducted in a rain-fed region of China to simulate canopy cover (CC), biomass, soil water content (SWC), yield, evapotranspiration (ETc), and water use efficiency (WUE). The year 2015 was much drier and warmer than the two other years. The model was calibrated using field data from 2016 and validated using the data from 2015 and 2017. Simulations of CC, biomass, and yield achieved favorable performance for both PM and NM in all years, as indicated by the high determination coefficient (R 2 ), model efficiency (EF), small root mean square error (RMSE), normalized root mean square error (NRMSE), and deviations < 10%. Simulations of SWC, ETc, and WUE gave acceptable results for both PM and NM in the normal year (2017). However, low R 2 and EF, and large NRMSE, RMSE, and deviations were observed in the predictions of PM and NM for SWC, ETc, and WUE in the dry year (2015) with a severe drought stress, indicating that the model performed unsatisfactorily under severe drought stress condition that was caused by the adverse weather. In addition, the simulation performance of NM was more favorable than that of PM for most crop growth and water use indexes under no drought stress condition.

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“…To overcome these limitations, more complex process-based models have also been adapted to simulate sugar beet production, such as Broom's Barn crop growth model [6,11], CSM-CERES-Beet model, or DSSAT [12], STICS [13,14], Greenlab [14,15], LNAS [14], and PILOTE [14,16]. In addition, the AquaCrop model [17], in an attempt to develop a simple, versatile, and robust water-driven model, has been calibrated and validated for sugar beet [18][19][20][21][22]. This model can simulate the yield response to water more accurately with a relatively small number of parameters than other models, which makes it more attractive for simulations under water-limited conditions or for irrigation scheduling.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, as for any model application, AquaCrop must be accurately calibrated and validated. In the case of sugar beet, earlier calibration and validation efforts in AquaCrop have yielded uncertain results [18][19][20][21][22]. One reason may be that important modifications in the quantification of soil water stress have been introduced in the new model versions (v6.0 and v6.1), which makes it necessary to carry out a new calibration and validation process.…”

Section: Introductionmentioning

confidence: 99%

Modeling Sugar Beet Responses to Irrigation with AquaCrop for Optimizing Water Allocation

García-Vila

Morillo-Velarde²,

Fereres

2019

Water

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Process-based crop models such as AquaCrop are useful for a variety of applications but must be accurately calibrated and validated. Sugar beet is an important crop that is grown in regions under water scarcity. The discrepancies and uncertainty in past published calibrations, together with important modifications in the program, deemed it necessary to conduct a study aimed at the calibration of AquaCrop (version 6.1) using the results of a single deficit irrigation experiment. The model was validated with additional data from eight farms differing in location, years, varieties, sowing dates, and irrigation. The overall performance of AquaCrop for simulating canopy cover, biomass, and final yield was accurate (RMSE = 11.39%, 2.10 t ha−1, and 0.85 t ha−1, respectively). Once the model was properly calibrated and validated, a scenario analysis was carried out to assess the crop response in terms of yield and water productivity to different irrigation water allocations in the two main production areas of sugar beet in Spain (spring and autumn sowing). The results highlighted the potential of the model by showing the important impact of irrigation water allocation and sowing time on sugar beet production and its irrigation water productivity.

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Assessment of AquaCrop Model in Simulating Sugar Beet Canopy Cover, Biomass and Root Yield under Different Irrigation and Field Management Practices in Semi-Arid Regions of Pakistan

Cited by 28 publications

References 14 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

Evaluation of AquaCrop Model for Foxtail Millet (Setaria italica) Growth and Water Use with Plastic Film Mulching and No Mulching under Different Weather Conditions

Modeling Sugar Beet Responses to Irrigation with AquaCrop for Optimizing Water Allocation

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