Climate-smart irrigation strategy can mitigate agricultural water consumption while ensuring food security under a changing climate

Agricultural Water Management, Год журнала: 2024, Номер 292, С. 108663 - 108663

Опубликована: Янв. 9, 2024

North China Plain suffers from the world's most severe water scarcity and groundwater depletion due to intensive irrigation for agricultural production. It is imperative reduce consumption while safeguarding crop production food security. This study conducted a quantitative analysis with deficit strategies winter wheat using water-driven AquaCrop model. After model calibration validation field experimental data, we analyzed demand, yield, productivity (WP) of under various scenarios. A set optimal schedules were proposed different climate years, which significantly mitigated usage sustaining high yields WPs. The results indicated that despite demand future scenario was slightly higher than in historical period, their sensitive periods (reviving, jointing, flowering) remained same. Therefore, recommended adopting same periods. In wet 50% strategy only reduced by less 5% compared full irrigation, but it saved 1000–1100 m3 per hectare contributed WP 1.88 kg/m3. While normal dry an 25% could sustain over 96% maximum meanwhile save 650–800 m3/ha achieve almost as irrigation. These climate-smart adapting diverse climatic conditions largely mitigate maximizing use efficiency, are essential achieving precision sustainable management changing climate.

Язык: Английский

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Impact of calibrating a low-cost capacitance-based soil moisture sensor on AquaCrop model performance

Journal of Environmental Management, Год журнала: 2024, Номер 353, С. 120248 - 120248

Опубликована: Фев. 1, 2024

Sensor data and agro-hydrological modeling have been combined to improve irrigation management. Crop water models simulating crop growth production in response the soil-water environment need be parsimonious terms of structure, inputs parameters applied scarce regions. Irrigation management using soil moisture sensors requires them site-calibrated, low-cost, maintainable. Therefore, there is a for with low-cost sensing without losing predictive capability. This study calibrated capacitance-based Spectrum Inc. SM100 sensor multiple least squares machine learning models, both laboratory field data. The best calibration technique, field-based piece-wise linear regression (calibration r2 = 0.76, RMSE 3.13 %, validation 0.67, 4.57 %), was used effect on performance FAO AquaCrop Open Source (AquaCrop-OS) model by calibrating its hydraulic parameters. approach tested during wheat cropping season 2018, Kanpur (India), Indo-Gangetic plains, resulting some practices regarding being recommended. conditions against secondary standard (UGT GmbH. SMT100) taken as reference (r2 followed gravimetric dry-down 0.66, 5.26 %) wet-up curves respectively 0.62, 6.29 %). Moreover, overfitting algorithms led poor performance. simulation AquaCrop-OS improved significantly incorporating raw There were non-significant impacts biomass simulation, but productivity significantly. Notably, calibrate poorer performances than literature. Hence literature values could save costs compromising if not possible. results suggest essentiality productivity.

Язык: Английский

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Adaptability of wheat to future climate change: Effects of sowing date and sowing rate on wheat yield in three wheat production regions in the North China Plain

The Science of The Total Environment, Год журнала: 2023, Номер 901, С. 165906 - 165906

Опубликована: Июль 31, 2023

Язык: Английский

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Modeling water−salt−nitrogen dynamics and crop growth of saline maize farmland in Northwest China: Searching for appropriate irrigation and N fertilization strategies

Agricultural Water Management, Год журнала: 2023, Номер 282, С. 108271 - 108271

Опубликована: Март 13, 2023

Soil salinization, severe NO3--N leaching and low water-fertilizer use efficiency are constraints to sustainable maize production in the upper Yellow River basin (YRB) of Northwest China. Agro-hydrological models have been proven be a promising decision tool for water fertilizer management farmland. In this paper, AHC (Agro-Hydrological & Chemical Crop Systems Simulator) model was calibrated validated by measured soil water, salt, nitrogen (N) crop growth data used scenario analysis search appropriate irrigation N fertilization strategies drip-irrigated saline The scenarios were designed with different matric potential thresholds (SMPT) irrigation, degrees (i.e., slightly moderately soils), or without additional salt (ASL) hydrological years (wet, normal dry). results indicated that increasing SMPT ASL increased frequency total amount thus favoring leaching. leached out root zone as exceeded –20 kPa, especially cases ASL. For case kPa SMPT, compared ASL, could significantly increase yield (WUE) However, –15 caused significant decrease WUE both farmlands. Maize application rate from 150 kg ha–1 250 remained stable continuously increased, resulting high partial factor productivity (PFPn). Comprehensively considering yield, WUE, PFPn, desalting environmental impacts, wet years, strategy is under farmland farmland, respectively. dry farmlands study relevant areas.

Язык: Английский

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Nitrogen use efficiency of drip irrigated sugar beet as affected by sub-optimal levels of nitrogen and irrigation

Agricultural Water Management, Год журнала: 2024, Номер 298, С. 108849 - 108849

Опубликована: Апрель 30, 2024

Sugar beet has strong drought resistance and requires a large amount of nitrogen (N) during growth. Can deficit irrigation combined with low N supply sugar improve water productivity (WP) use efficiency (NUE)? In this field study in 2020–2021, two regimes (W1, capacity (FC) the 0–60 cm soil layer was not lower than 70 % from 45 days after emergence (DAE) to harvest period; W2, FC 50 45–90 DAE, but consistent that W1 90 DAE) three application rates (0 (N0), 150 (N1), 225 (N2) kg ha−1) were designed. Then, their impacts on taproot yield (TY), consumption (WC) uptake (NU) explored. The results showed there no significant difference TY between W2 treatments under N1 N2 levels. Under levels, daily (DWC, 0.121 0.125 mm ℃d−1) (DNU, 53.6 71.6 g treatment significantly DWC (0.161 0.164 DNU (60.6 86.5 0–90 DAE. W2N1 had similar WP higher NUE compared W1N2 treatment. addition, fertilizer-15N recovery rate 8.8 treatment, loss 6.6 residue two. This clarified implementing (50 at canopy rapid growth stage (45–90 DAE)) (33 reduction based could reduce NUE.

Язык: Английский

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Optimizing a water-saving and salt-controlling irrigation strategy for improving cotton yield with the AquaCrop model under mulched drip irrigation in saline-alkali soil

Irrigation Science, Год журнала: 2025, Номер unknown

Опубликована: Фев. 20, 2025

Язык: Английский

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Development of a novel framework for agriculture simulation model for food-energy-water nexus analysis in watershed-scale

Journal of Cleaner Production, Год журнала: 2023, Номер 429, С. 139492 - 139492

Опубликована: Окт. 31, 2023

Язык: Английский

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Optimization of maize irrigation strategy in Xinjiang, China by AquaCrop based on a four-year study

Agricultural Water Management, Год журнала: 2024, Номер 297, С. 108816 - 108816

Опубликована: Апрель 23, 2024

Global water scarcity has become a non-negligible problem that threatens the sustainable development of agriculture. In order to alleviate contradiction between grain demand and resource constraints, it is particularly important explore appropriate irrigation strategy so as synergistically increase yield use efficiency (WUE). The AquaCrop model were locally calibrated simulate optimal amount for different hydrological years using four-year field measurements (from 2017 2020) maize with two levels (2400 m3/ha 4800 m3/ha) in Shihezi, Xinjiang, China. On this basis, regulated deficit (RDI) strategies optimized based on variation consumption soil content (SWC) during growth period. Results suggest under static (fixed proportion growing season) wet, normal, dry was 4733 m3/ha, 5381 6090 respectively. dynamic strategies, RDI4 (65% Ir (the required each interval) at R2-R5 stage) RDI5 (85% V6-V12 stage 85% can save while maintaining high yield. Under premise basically (18Mg/ha), compared year's reduce by 4.33% 2017; although slightly increased 2.77% 2018, could be 3.65%; 2019, 49.44% water, will 24.13% 2020. From study, recommended single 65% R2 R5 stages or V6 V12 (18 Mg/ha).

Язык: Английский

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Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies

Agricultural Water Management, Год журнала: 2022, Номер 274, С. 107949 - 107949

Опубликована: Сен. 21, 2022

Assessing and optimizing crop management strategies, e.g. irrigation nitrogen (N) fertilization, is critical for the sustainable production of crops. Currently, simulation models combined with experimental data have been proved to be effective tools. Herein, FAO AquaCrop model was calibrated validated based on field-measured during two consecutive growing seasons (2020 2021) predicting canopy cover (CC, %), aboveground biomass soil water content (SWC, mm) a daily scale, simulating final fruit yield, evapotranspiration (ET, productivity (WP, kg m−3) seasonal scale under plastic film mulch condition. The two-year experiment included three levels (60 %, 80 % 100 ET0, where ET0 reference evapotranspiration) five N fertilizer rates (0, 180, 270, 360 450 ha−1). In general, adequately simulated dynamic changes cherry tomato CC, yield. Nonetheless, severely overestimated SWC especially full in experiment, accuracy gradually increased increase rate. For ET, it largely underestimated. With decrease level rate, improved impact stress stronger than that stress. WP decreased as rate increased. optimal integrated regime deficit ha−1 (I80N360), which obtained 98.24 potential yield while significantly decreasing input. mulched module parameters (crop transpiration, productivity, etc.) should further optimized verified. If these improvements can made, used decision-making fertilization strategies

Язык: Английский

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Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes

Agricultural Water Management, Год журнала: 2022, Номер 276, С. 108076 - 108076

Опубликована: Дек. 5, 2022

Water and fertilizer are two important factors affecting crop growth yield. Crop models powerful tools for making irrigation fertilization scheduling predicting The performance of on potato under different amounts along with N, P K rates has been rarely evaluated, especially drip fertigation. In this study, the accuracy AquaCrop DSSAT-SUBSTOR-Potato in simulating growth, yield water productivity fertigation regimes was compared. For model calibration validation, a two-year field experiment three levels (W1, 60% ETC; W2, 80% ETC W3, 100% ETC, where evapotranspiration) four (N-P2O5-K2O) (F1: 100–40–150 kg ha−1, F2: 150–60–225 F3: 200–80–300 ha−1 F4: 250–100–375 ha−1) carried out sandy region northwest China 2018 2019. statistical indicators showed that gave satisfactory predictions canopy cover (R2 ≥ 0.92, NRMSE ≤ 14.7%, d 0.96 RMSE 10.8%), total dry matter 25.0%, 0.94 2.2 t ha−1), final tuber 0.57, 12.21%, 0.82 0.83 fresh 0.53, 12.02%, 0.81 4.91 treatments (F1-F4) W3 W2 during growing seasons. W1 were over-estimated. simulated soil content also agreed well observations 0.91, 5.51%, 0.48 m−3, R2 0.40, 14.8%, 0.77 11.5 mm). simulation lower than model, which only goodness fit between matter, content, yield, high amount rate (W3F4). Since observed increased increase level (60–100% ETC) same rate, 120%ETC 40%ETC further using to test changes or decreased levels. scenarios by 0.19%−1.52% compared but 18.0% more consumed. Comprehensively considering resources (W3) (F3) recommended sustainable production study region. results can provide guidance application drip-fertigated potato.

Язык: Английский

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