Scientia Agricultura Sinica ›› 2022, Vol. 55 ›› Issue (17): 3365-3379.doi: 10.3864/j.issn.0578-1752.2022.17.009

• SOIL & FERTILIZER·WATER-SAVING IRRIGATION·AGROECOLOGY & ENVIRONMENT • Previous Articles     Next Articles

Research on Soybean Irrigation Schedule Based on AquaCrop Model

WANG QiaoJuan1,2(),HE Hong1,2,LI Liang1,2,ZHANG Chao3(),CAI HuanJie1,2()   

  1. 1College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, Shaanxi
    2Institute of Water-Saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling 712100, Shaanxi
    3College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, Jiangsu
  • Received:2021-07-29 Accepted:2021-09-15 Online:2022-09-01 Published:2022-09-07
  • Contact: Chao ZHANG,HuanJie CAI E-mail:wangqj-0407@nwafu.edu.cn;zhangc1700@yzu.edu.cn;caihj@nwafu.edu.cn

Abstract:

【Objective】 The aim of this study was to evaluate the applicability of AquaCrop model in the Guanzhong Plain and to explore the optimal irrigation schedule for summer soybean under various precipitation year types. 【Method】 AquaCrop model was calibrated by using field experiment data and then used to simulate soybean yield and water use efficiency under 14 irrigation systems with three different precipitation years from 1961 to 2019.【Result】 The determination coefficient (R2), root mean square error (RMSE), standard root mean square error (NRMSE) and Nash efficiency coefficient (EF) of simulated and measured soybean yield under the highest yield treatment by AquaCrop model were 0.96, 7.15%, 11.03% and 0.94, respectively, which of simulated and measured biomass values were 0.99, 526.04 kg·hm-2, 14.45% and 0.97, respectively. A good agreement was observed for final yield simulation with the R2, RMSE, NRMSE, and EF were 0.97, 49.98 kg·hm-2, 1.74% and 0.82, respectively. The R2 values of the measured and simulated canopy coverage and biomass of each treatment were greater than 0.95, indicating that the AquaCrop model could better simulate the growth and development dynamics and yield of soybean in Guanzhong Plain. Combined with the simulation results of the model, the water requirements of the whole growth period of soybean were 398.2 mm. The water requirements of each growth period were significantly different for three precipitation years. The water requirements in the soybean branch stage were 127.8 mm, the water requirements of flowering and podding stage were 212.6 mm, and those of grain filling stage were 57.7 mm. Combined with the simulation of different irrigation systems for three different precipitation years, it was found that the flowering and podding period stage was the key period of water demand, and the water supply in this growth period affected the final yield of soybean. Simulation resulted showed that no irrigation was needed in wet years. In the normal and dry years, it was recommended to irrigate only 45 mm and 70 mm at flowering and podding stage to achieve the maximum yield of 2 699 kg·hm-2 and 2 486 kg·hm-2, and the maximum water use efficiency of 0.74 kg·m-3 and 0.7 kg·m-3, respectively. 【Conclusion】 To ensure higher soybean yield and water use efficiency, the soybean irrigation schedule in this region should be determined based on the distribution of different precipitation years, which could be used as a reference for the soybean irrigation system in the Guanzhong Plain region.

Key words: soybean, AquaCrop model, production, irrigation schedule, Guanzhong plain

Table 1

Soil physical properties"

土壤深度
Soil depth
(cm)
黏粒
Clay
(%)
粉粒
Silt
(%)
砂粒
Sand
(%)
凋萎含水量
Wilting point (cm3·cm-3)
饱和含水量
Saturation (cm3·cm-3)
田间持水量
Field capacity (cm3·cm-3)
土壤容重
Bulk density (g·cm-3)
0-20 26.12 40.00 33.88 11.00 32.00 31.00 1.30
20-40 27.33 41.25 31.42 11.00 38.20 31.10 1.41
40-60 28.20 42.40 29.40 11.00 38.60 31.20 1.45
60-80 26.10 41.83 32.07 13.00 39.00 31.00 1.52
80-100 26.12 41.85 32.03 13.00 39.00 33.00 1.55

Fig. 1

Meteorological data during soybean growing season"

Table 2

The calibrated parameter of soybean in AquaCrop model"

符号Symbol 定义 Definition 取值 Value 单位 Unit
Tbase 基底温度 Base temperature 5
Tupper 上限温度 Upper temperature 40
CGC 冠层增长系数 Canopy growth coefficient 0.11000 ℃·d-1
CCx 最大冠层覆盖度 Maximum canopy cover 96 %
CDC 冠层衰减系数 Canopy decline coefficient 0.015 ℃·d-1
Zmin 最小有效生根深度 Minimum effective rooting depth 0.3 m
Zx 最大有效生根深度 Maxmum effective rooting depth 1.2 m
Rexshp 根区膨胀的形状因子 Shape factor for root zone expansion 1.5 m
Kcb 作物系数 Crop coefficient
KcTrx 作物蒸腾系数 Crop coefficient for transpiration 1.05 -
WP* 标准水分生产力 Water productivity normalized for ET0 and CO2 12 g·m-2
HI0 参考收获参数 Reference harvest index 38 %
Pexp,upper 限制冠层伸展的土壤水分消耗上限阈值 Soil water depletion threshold for canopy expansion-Upper threshold 0.15 -
Pexp,lower 限制冠层伸展的土壤水分消耗下限阈值 Soil water depletion threshold for canopy expansion-Lower threshold 0.65 -
Pexp,shp 限制冠层伸展的水分胁迫系数曲线的形状因子 Shape factor for coefficient for canopy expansion 2.5 -
Psto,upper 气孔控制土壤水分耗竭阈值上限阈值 Soil water depletion for stomata control-Upper threshold 0.6 -
Psen,upper 冠层衰老的土壤水分耗竭因子上限阈值Soil water depletion factor for canopy senescence-Upper threshold 0.7 -
Ppol,upper 授粉土壤水分耗竭因子上限阈值Soil water depletion factor for pollination-Upper threshold 0.8 -

Table 3

Scenarios of irrigation"

灌溉方案
Irrigation schedule
生育期阶段灌溉量Growth stage (mm) 灌溉定额
Irrigation amount (mm)
分枝期
(30 d)
Branching stage
开花-结荚期
(70 d)
Flowering and podding stage
鼓粒期
(90 d)
Seed filling stage
P1 0 0 0 0
P2 45 0 0 45
P3 0 45 0 45
P4 0 0 45 45
P5 70 0 0 70
P6 0 70 0 70
P7 0 0 70 70
P8 45 45 0 90
P9 45 0 45 90
P10 0 45 45 90
P11 70 70 0 140
P12 0 70 70 140
P13 70 0 70 140
P14 70 70 70 210

Fig. 2

Comparison between simulated and measured values of canopy cover B is the English initials of branching stage. S is the English initials of grain filling stage. Dataset (1) is used for model calibration, dataset (2) is used for model verification. The same below"

Fig. 3

Comparison of simulated and observed values of above-ground biomass of soybean"

Fig. 4

Comparison of simulated and measured soil moisture content of soybean"

Fig. 5

Comparison of simulated and observed values of soybean yield"

Table 4

Validation results of simulated and measured grain yield"

产量 Yield (kg·hm-2)
处理
Treatment
模拟值
Simulated value
实测值
Measured value
相对误差
Relative error (%)
校正
Calibration
I60BS 1 3026 2988 1.26
2 3021 2978 1.42
I0 1 2832 2785 1.66
2 2784 2717 2.41
验证
Validation
I60B 1 2924 2901 0.79
2 2984 2974 0.34
I60S 1 2890 2852 1.31
2 2861 2783 2.73

Table 5

Simulation results of different irrigation schemes in different precipitation years"

灌溉方案
Irrigation schedule
灌溉定额
Irrigation amount (mm)
产量Yield (kg·hm-2) 水分利用效率WUE (kg·m-3)
干旱年
Dry year
平水年
Normal year
湿润年
Wet year
干旱年
Dry year
平水年
Normal year
湿润年
Wet year
P1 0 1700 2455 2780 0.51 0.69 0.79
P2 45 1874 2548 2857 0.52 0.69 0.78
P3 45 2279 2699 2867 0.63 0.74 0.81
P4 45 2117 2571 2791 0.61 0.71 0.79
P5 70 1879 2554 2865 0.52 0.69 0.78
P6 70 2486 2758 2873 0.70 0.75 0.81
P7 70 2185 2581 2791 0.62 0.72 0.79
P8 90 2470 2787 2941 0.64 0.73 0.79
P9 90 2328 2667 2870 0.62 0.71 0.78
P10 90 2505 2743 2869 0.68 0.74 0.81
P11 140 2661 2843 2951 0.68 0.74 0.79
P12 140 2644 2773 2871 0.69 0.75 0.81
P13 140 2398 2679 2875 0.63 0.71 0.78
P14 210 2827 2861 2950 0.70 0.74 0.79

Fig. 6

Precipitation of soybean growth period under different year types and water demand trend"

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