Calibration and Evaluation of the FAO AquaCrop Model for Canola (Brassica napus) under Varied Moistube Irrigation Regimes

Dirwai, Tinashe Lindel; Senzanje, Aidan; Mabhaudhi, Tafadzwanashe

doi:10.3390/agriculture11050410

Cited by 22 publications

(9 citation statements)

References 51 publications

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“…In a greenhouse experiment on cherry tomato with plastic film mulch [28], Cheng et al [28] also observed an overestimation of SWC. However, this result contradicts with the result of [39] on maize, [23,40] on Canola, who suggests the Aqua-Crop model performed well on SWC.…”

Section: Performance Evaluation Of Aquacropcontrasting

confidence: 90%

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Performance Evaluation of AquaCrop Model of Tomato under Stage Wise Deficit Drip Irrigation at Southern Ethiopia

Yersaw,

Ebstu,

Areru

et al. 2024

Advances in Agriculture

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Crop modeling is a powerful tool for predicting yield and water productivity. The aim of the study was to calibrate and validate the AquaCrop model for tomato under staged deficit drip irrigation in Ethiopia. The AquaCrop model was calibrated and validated by using the observed data of canopy cover, biomass, dry yield, and soil water content. The results showed that the model was accurate in predicting canopy cover, biomass, and dry yield under different water levels. The overall performance in simulating canopy cover of AquaCrop, biomass, and soil water content showed a good match between measured and simulated data. The calibration results indicated good performance on canopy cover with 0.96 ≤ r ≤ 1.00, 2.9% ≤ RMSE ≤ 8.0%, 7.5% ≤ CV (RMSE) ≤ 21.1%, 0.91 ≤ EF ≤ 0.99, and 0.98 ≤ d ≤ 1.00. On biomass, the model calibration values were 0.99 ≤ r ≤ 1.00, 0.3 t/ha ≤ RMSE ≤ 0.8 t/ha, 8.3% ≤ CV (RMSE) ≤ 25.2%, 0.92 ≤ EF ≤ 0.99, and 0.98 ≤ d ≤ 1.00. Soil water content displayed poor performance on calibration, with performance values of 0.54 ≤ r ≤ 0.82, 3.6 mm ≤ RMSE ≤ 24.4 mm, 1.30% ≤ CV (RMSE) ≤ 9.00%, −4.18 ≤ EF ≤ 0.00, and 0.66 ≤ d ≤ 0.81. The validation results demonstrated that the model performed well on canopy cover with 0.96 ≤ r ≤ 1.00, 3.1% ≤ RMSE ≤ 7.7%, 8.2% ≤ CV (RMSE) ≤ 20.8%, EF ≥ 0.91, and d ≥ 0.9. The model validation correctly predicted biomass with r ≥ 0.98, 0.3 t/ha ≤ RMSE ≤ 0.7 t/ha, 8.9% ≤ CV (RMSE) ≤ 21.8%, EF ≥ 0.94, and d ≥ 0.98. The model validation poorly performed in forecasting soil water content, 0.20 ≤ r ≤ 0.80, 10.2 t/ha ≤ RMSE ≤ 24.0 t/ha, 3.5% ≤ CV (RMSE) ≤ 9.0%, −22.76 ≤ EF ≤ 0.63, and 0.40 ≤ d ≤ 0.87. The AquaCrop model is easy to use, requires less input data, and has high simulation accuracy, making it a useful tool for predicting crop yields and water productivity under staged deficit irrigation in areas with limited data.

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Section: Performance Evaluation Of Aquacropcontrasting

confidence: 90%

“…This shows that applying stage deficit irrigation improves yield and water productivity compared to FI [8]. This result is also confirmed by [23,37,38,39,40,41]; the best WP was observed at the lowest irrigation depth.…”

Section: Validation Parameter Of Measured and Simulatedsupporting

confidence: 79%

Performance Evaluation of AquaCrop Model of Tomato under Stage Wise Deficit Drip Irrigation at Southern Ethiopia

Yersaw,

Ebstu,

Areru

et al. 2024

Advances in Agriculture

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“…It is cultivated on 2418 thousand hectares in Pakistan, which produce 2256 thousand tons of seeds and 374 thousand tons of oil [3]. It is an inexpensive oil that helps individuals recover from malnutrition and improves their health, making it ideal for populations residing in developing nations [12]. Climate extremes, such as heat and drought stress [13][14][15], soil salinity [16], limited light availability [17], and waterlogging [18], are the major constraints significantly reducing the yield and oil quality of oilseed rape.…”

Section: Introductionmentioning

confidence: 99%

Combined Application of Boron and Zinc Improves Seed and Oil Yields and Oil Quality of Oilseed Rape (Brassica napus L.)

Safdar,

Qamar,

Javed

et al. 2023

Agronomy

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Oilseed crops require several micronutrients to support their physiological functions and reproductive phases. A deficiency of these nutrients can significantly reduce the yield and oil quality of oilseed crops. Soil application of micronutrients can reduce their deficiency and improve plant growth, yield, and oil quality. Oilseed rape (Brassica napus L.) is an important oilseed crop that produces oil with low levels of saturated fat and high levels of beneficial omega-3 fatty acids, which renders it a widely used cooking oil. However, the yield and oil quality of oilseed rape are significantly affected by the deficiency of boron (B) and zinc (Zn). This two-year field study determined the influence of sole and combined soil application of B and Zn on the physiological attributes of plants, seed and oil yields, and oil quality under semiarid climatic conditions. Nine different B and Z combinations, i.e., B0 + Zn0 (control), B0 + Zn8, B0 + Zn10, B1 + Zn0, B1 + Zn8, B1 + Zn10, B2 + Zn0, B2 + Zn8, and B2 + Zn10 (kg ha−1), were included in the study. Sole and combined application of B and Zn significantly altered physiological attributes, seed and oil yields, and oil quality. The highest values for plant height, number of siliques per plant, number of seeds per silique, 1000-seed weight, seed and oil yields, oil quality (higher stearic acid, palmitic acid, oleic acid, linoleic acid, linolenic acid, and lower erucic acid), and physiological traits (protein concentration, soluble sugar concentration, chlorophyll concentration, photosynthesis and transpiration rates, and stomatal conductance) were recorded with the combined application of 2 + 8 kg ha−1 B and Zn, respectively, during both years of this study. The lowest values of yield- and oil-quality-related traits and physiological attributes were recorded for the control treatment. A dose-dependent improvement was recorded in B and Zn contents in leaves, and the highest values were recorded with the combined soil application of 2 + 10 kg ha−1 B + Zn, respectively. It can be concluded that 2 + 8 kg ha−1 B + Zn should be applied to oilseed rape for higher seed and oil yields and better oil quality under semiarid climatic conditions.

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“…The AquaCrop model is underpinned by two sets of parameters, conservative and non-conservative, where the former does not change with time and its applicable over a large spatial variation (i.e., water stresses on crop growth and development), the latter changes with time, management practices and location (i.e., sowing date, sowing method and density, and plant phenology) (Dirwai et al, 2021). Crop variables were parametrized on AquaCrop based on field observations on crop development, including plant phenology, made by the Ministry of Agriculture, Forestry and Fisheries (MAFF) of Cambodia and shared with FAO for the purpose of this study (Table 1).…”

Section: Crop Datamentioning

confidence: 99%

Climate change impacts on irrigated crops in Cambodia

Alvar‐Beltrán

Soldan

et al. 2022

Agricultural and Forest Meteorology

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Calibration and Evaluation of the FAO AquaCrop Model for Canola (Brassica napus) under Varied Moistube Irrigation Regimes

Cited by 22 publications

References 51 publications

Performance Evaluation of AquaCrop Model of Tomato under Stage Wise Deficit Drip Irrigation at Southern Ethiopia

Performance Evaluation of AquaCrop Model of Tomato under Stage Wise Deficit Drip Irrigation at Southern Ethiopia

Combined Application of Boron and Zinc Improves Seed and Oil Yields and Oil Quality of Oilseed Rape (Brassica napus L.)

Climate change impacts on irrigated crops in Cambodia

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