Evaluation of the AquaCrop model for simulating yield response of winter wheat to water on the southern Loess Plateau of China

2013 ◽  
Vol 68 (4) ◽  
pp. 821-828 ◽  
Author(s):  
Wanhong Zhang ◽  
Wenzhao Liu ◽  
Qingwu Xue ◽  
Jie Chen ◽  
Xiaoyang Han

The objective of this study was to evaluate the performance of the FAO-AquaCrop model in winter wheat in the southern Loess Plateau of China. Multi-year field experimental data from 2004 and 2011 were used to calibrate and validate the model for simulating biomass, canopy cover (CC), soil water content, and grain yield under rainfed conditions. The model performance was evaluated using root mean square error (RMSE) and Willmott index of agreement (d) as criteria. The RMSE ranged from 0.16 to 0.38 t/ha for simulating aboveground biomass, 1.87 to 4.15% for CC, 0.50 to 1.44 t/ha for grain yield, and 5.70 to 22.56 mm for soil water content. The d ranged from 0.22 to 0.89, 0.25 to 0.43, 0.36 to 0.62 and 0.95 to 0.98 for aboveground biomass, CC, soil water content and grain yield, respectively. Generally, the model performed better for simulating CC and yield than biomass and soil water content. The results further indicated that AquaCrop is capable of simulating winter wheat yield under rainfed conditions. Further improvement may be needed to capture the variation of different management practices such as fertility and irrigation levels in this region.

2016 ◽  
Vol 67 (9) ◽  
pp. 948 ◽  
Author(s):  
Z. A. Bello ◽  
S. Walker

Pearl millet (Pennisetum glaucum (L.) R.Br.) is widely grown in some of the driest regions of the world, mainly drier tropics. Although it is easy to cultivate under semi-arid and arid regions, it still responds very favourably to slight improvements in growing conditions such as supplementary irrigation. Because this crop is mostly cultivated under water-limited conditions, there is a need to develop strategies to promote efficient water use, and this can be achieved through field experiments and or crop modelling. The AquaCrop model requires a minimum number of crop parameters, with the aim of balancing simplicity, accuracy, robustness and user-friendliness. In this study, we calibrate and validate the AquaCrop model for an underutilised crop, pearl millet under irrigation and rainfed conditions. Experiments were carried out in lysimeters with two varieties of pearl millet (GCI 17, improved variety; Monyaloti, local variety) during the 2010–11 season. Field trials were conducted during the 2008–09 and 2009–10 seasons. The field plot was under a line-source sprinkler with four replications. Lysimeter datasets and field data (2008–09) were used for parameterisation and calibration of the model, and validation was done with the 2009–10 dataset. The model was able to simulate canopy cover, biomass production, cumulative evapotranspiration and grain yield, but not soil-water content, for the two varieties of pearl millet under irrigation and rainfed conditions. The performance of the model in simulating soil-water content is moderate for this crop and needs to be improved.


2016 ◽  
Vol 20 (77) ◽  
pp. 59-70 ◽  
Author(s):  
Sh. Zand-Parsa ◽  
S. Parvizi ◽  
A. R. Sepaskhah ◽  
M. Mahbod ◽  
◽  
...  

2019 ◽  
pp. 1188-1196
Author(s):  
Ivomberg Dourado Magalhães ◽  
Guilherme Bastos Lyra ◽  
José Leonaldo de Souza ◽  
Iêdo Teodoro ◽  
Adolpho Emanuel Quintela da Rocha ◽  
...  

With the evident climatic threats and the limitation of agronomic information for the bean crop, the use of agricultural models is necessary to broaden and disseminate technical knowledge of crop forecasting. The aim of this work was to evaluate the FAO AquaCrop model for bean crop under different levels of irrigation water in agrometeorological conditions of Northeastern Brazil at megatheramal and humid climate. The research was conducted in the period from 11/17/2015 to 02/01/2016. The experimental design was randomized block with four replicates. Treatments were composed of six levels of irrigation on the basis of crop evapotranspiration (ETc) fractions (25, 50, 75, 100, 125 and 150% of ETc). The irrigation effect was evaluated from biomass, dry matter and grain yield data that were observed and simulated using Aquacrop model. One linear meter of plants was collected every 10 days for biometric and destructive analyses. In addition, the soil water content simulated from model was compared with measurements performed by time domain reflectometry. The AquaCrop model was calibrated for common bean during the dry season (October to March) for the region in the 2015/2016 harvest season using experimental data for 100% of ETc. The accuracy of the calibration and validation model was evaluated based on the root mean square error (RMSE), Willmott’s index of agreement (d), correlation coefficient (r) and percentage deviation (D). The model showed good performance between observed and simulated values for soil water content, dry biomass accumulation and grain yield in several water conditions and can assist decision making and water management in irrigated crops.


2005 ◽  
Vol 60 (5) ◽  
pp. 1013-1016
Author(s):  
Reiji KIMURA ◽  
Yuanbo LIU ◽  
Naru TAKAYAMA ◽  
Makio KAMICHIKA ◽  
Nobuhiro MATSUOKA ◽  
...  

1988 ◽  
Vol 39 (1) ◽  
pp. 11 ◽  
Author(s):  
WS Meyer ◽  
HD Barrs

Transient waterlogging associated with spring irrigations on slowly draining soils causes yield reduction in irrigated wheat. Physiological responses to short-term flooding are not well understood. The aim of this experiment was to monitor above- and below-ground responses of wheat to single waterlogging events during and after stem elongation and to assess the sensitivity of the crop at these growth stages to flooding. Wheat (cv. Bindawarra) was grown in drainage lysimeters of undisturbed cores of Marah clay loam soil. A control treatment (F0) was well-watered throughout the season without surface flooding, while three others were flooded for 96 h at stem elongation (Fl), flag leaf emergence (F2) and anthesis (F3), respectively. Soil water content, soil O2, root length density, leaf and stem growth, apparent photosynthesis (APS), plant nutrient status and grain yield were measured. Soil water content increased and soil O2 levels decreased following flooding; the rate of soil O2 depletion increasing with crop age and root length. Leaf and stem growth and APS increased immediately following flooding, the magnitude of the increases was in the order F1 >F2>F3. A similar order existed in the effect of flooding which decreased the number of roots. Subsequently, leaf and stem growth decreased below that of F0 plants in F1, and briefly in F2. Decreases in APS of treated plants compared to F0 plants appeared to be due to their greater sensitivity to soil water deficit. There was no effect of flooding on grain yield. It is suggested that, while plant sensitivity to flooding decreased with age, flooding at stem elongation had no lasting detrimental effect on yield when post-flood watering was well controlled.


2021 ◽  
Author(s):  
fawen li ◽  
chunya song ◽  
hua li

Abstract To examine whether the use of default CO2 database affected the simulation results, this paper built the AquaCrop models of winter wheat based on the measured CO2 database and the default CO2 database, respectively. The models were calibrated with data (2017–2018) and validated with the data (2018–2019) in the North China Plain. The residual coefficient method (CRM), root mean square error (RMSE), normalized root mean square error (NRMSE) and determination coefficient (R2) were used to test the model performance. The results showed that the accuracy of simulation under the two CO2 database were both good. Compared with the default CO2 database, the simulation accuracy under the measured CO2 database had higher accuracy. In order to verify the model further, the simulated values of evapotranspiration, soil water content and measured values were compared and analyzed. The results showed that there were some errors between the measured evapotranspiration and the values of simulation in the filling and waxing period of winter wheat. In general, the simulation values of evapotranspiration were consistent with the measured value at different irrigation levels. The simulated values ​​of the soil water content at the three levels of irrigation were all higher than the measured values, but the simulated results basically reflected the dynamic changes of soil water content throughout the growth period. The model adjustment value of WP*(the normalized water productivity) were a difference under the two CO2 databases, which is one of the reasons for the difference in the simulation results. The results show that in the absence of measured CO2 data, the default CO2 database can be used, which has little influence on the model construction, and the accuracy of the model constructed meets the actual demand. The research results can provide a basis for the establishment of crop models in North China Plain.


2016 ◽  
Vol 61 (No. 5) ◽  
pp. 213-219 ◽  
Author(s):  
K. Copec ◽  
D. Filipovic ◽  
S. Husnjak ◽  
I. Kovacev ◽  
S. Kosutic

2020 ◽  
Vol 46 (3) ◽  
pp. 279-288
Author(s):  
Mohmed A. M. Abdalhi ◽  
Zhonghua Jia ◽  
Wan Luo ◽  
Osama O. Ali ◽  
Cheng Chen

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