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

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 297, P. 108816 - 108816

Published: April 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).

Language: Английский

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Optimizing relative root-zone water depletion thresholds to maximize yield and water productivity of winter wheat using AquaCrop

Agricultural Water Management, Journal Year: 2023, Volume and Issue: 286, P. 108391 - 108391

Published: June 2, 2023

Determination of relative root-zone water depletion (RRWD) thresholds to trigger irrigation is crucial create optimal schedules targeting maximum yield and/or productivity with limited supply for a crop. In this study, numerical procedure determine RRWD was developed through coupling AquaCrop software genetic-simplex algorithms. Using two-year field lysimetric experiment winter wheat conducted in the North China Plain (NCP), adequately simulated canopy cover, final aboveground biomass, grain yield, seasonal evapotranspiration, and soil storage, normalized root mean squared error (NRMSE) smaller than 15 % determination coefficient (R2) larger 0.84. The global optimum range preliminarily determined using genetic algorithm, subsequently were optimized by fine tuning simplex algorithm. threshold combinations (composed different sequential events) varying number events (i.e.1–4) based on 39 years historical meteorological data, effects climate change crop (Ya, opt), (WPopt), (RRWDopt) investigated. results indicated that both Ya, opt WPopt generally increased time showing tendency gradually elevated annual CO2 concentration average effective temperature. Irrespective during growing season, differences RRWDopt sequence event same kind hydrological year relatively small, variation consistently less 23 8 %. When applied into various years, sim) (WPsim) under 1–4 found be comparable their respective optimums WPopt), all values sim falling 92 %Ya, (90 %WPopt). Therefore, should helpful formulate rational management strategies changing climatic conditions NCP.

Language: Английский

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Measurement and simulation of irrigation performance in continuous and surge furrow irrigation using WinSRFR and SIRMOD models

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: April 8, 2023

Abstract The SIRMOD and WinSRFR models were used to model assess the irrigation performance under continuous surge strategies with two furrow lengths of 70 m 90 stream sizes 0.4 l/s 0.6 for each length. According normalized root mean squared error (NRMSE) relative (RE), had, on average, excellent accuracy in simulating advance-recession times (NRMSE: 6.15 4.24% advance time, 2.20 5.20% recession time), infiltrated water depth 3.37 6.38%), runoff volume (RE: 6.93 2.57%), respectively. had also, simulation 3.34 2.45% 2.28 6.41% 2.98 5.27%), 5.31 17.49%), average application efficiency ( AE ), distribution uniformity DU deep percolation DP tail-water ratio TWR ) 61.50, 90.25, 11.75, 26.75% irrigation, 72.03, 94.09, 8.39, 19.57% respectively, which shows that increased (irrigation management performance) method reduced compared . Moreover, longer both methods, while it decreased However, increasing size irrigations. higher improved but irrigation. results confirmed are reliable analytical tools evaluate improving management. In conclusion, this study showed surface could be employed practice by engineers practitioners design define optimized length arid semi-arid areas where efficient high required save reduce loss.

Language: Английский

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Crop/Plant Modeling Supports Plant Breeding: I. Optimization of Environmental Factors in Accelerating Crop Growth and Development for Speed Breeding

Plant Phenomics, Journal Year: 2023, Volume and Issue: 5

Published: Jan. 1, 2023

The environmental conditions in customered speed breeding practice are, to some extent, empirical and, thus, can be further optimized. Crop and plant models have been developed as powerful tools predicting growth development under various environments for extensive crop species. To improve breeding, used predict the phenotypes resulted from genotype by environment management at population level, while examine 3-dimensional architectural microenvironments organ level. By justifying simulations via numerous virtual trials using testing × management, an optimized combination of factors achieving desired quickly determined. Artificial intelligence assisting optimization is also discussed. We admit that appropriate modifications on modeling algorithms or adding new modules may necessary optimizing specific uses. Overall, this review demonstrates are promising providing combinations advancing breeding.

Language: Английский

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Long-term investigation of the irrigation intervals and supplementary irrigation strategies effects on winter wheat in the U.S. Central High Plains based on a combination of crop modeling and field studies

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 304, P. 109077 - 109077

Published: Oct. 1, 2024

Language: Английский

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Modeling Maize Production and Water Productivity Under Deficit Irrigation and Mulching as Sustainable Agricultural Water Management Strategies in Semiarid Areas

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1347 - 1347

Published: Feb. 7, 2025

Crop simulation models serve as effective instruments for evaluating the management conditions of irrigation systems. This study aims to simulate maize production identify optimal water strategies under deficit and moisture conservation practices, utilizing AquaCrop model. We conducted this research at Woleh schemes during 2023/2024 season in Wag-himra zone northern Ethiopia. To check how well model worked, we used statistical tests such prediction error (PE), root mean square (RMSE), index agreement (D), goodness-of-fit (R2), Nash–Sutcliffe coefficient efficiency (NCE). The effectively simulated canopy cover, aboveground biomass, yield across all treatments, evidenced by high R2 (0.99) NSE values. Furrow-irrigated raised bed planting (FRBP) 100% 75% ETc with mulch exhibited lowest predicted errors deviations productivity. biomass full FRBP mulch. serves a dependable measure crop development outcomes different types, potentially enhancing sustainable productivity water-stressed areas.

Language: Английский

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Quinoa yield modeling revealed that conservative parameters of the AquaCrop model are not conservative: Evidences of planting methods and irrigation managements

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100913 - 100913

Published: March 1, 2025

Language: Английский

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An Evaluation of Dryland Ulluco Cultivation Yields in the Face of Climate Change Scenarios in the Central Andes of Peru by Using the AquaCrop Model

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5428 - 5428

Published: June 26, 2024

Ullucus tuberosus is an Andean region crop adapted to high-altitude environments and dryland cultivation. It essential resource that guarantees food security due its carbohydrate, protein, low-fat content. However, current change patterns in precipitation temperatures warn of complex scenarios where climate will affect this crop. Therefore, predicting these effects through simulation a valuable tool for evaluating crop’s sustainability. This study aims evaluate ulluco’s yield under conditions at 3914 m.a.s.l. considering from 2024 2100 by using the AquaCrop model. Simulations were carried out meteorological data, agronomic information, simulations SSP1-2.6, SSP3-7.0, SSP5-8.5 CMIP 6. The results indicate minimum temperature increases seasonal exacerbation significantly influence yields. Increases rainfall environmental CO2 concentrations show opportunity window increment early stages. negative trend observed 2050–2100, mainly stress. These findings highlight importance developing more resistant ulluco varieties heat stress conditions, adapting water management practices, continuing modeling on crops, investing research smallholder agriculture reach Sustainable Development Goals 1, 2, 13.

Language: Английский

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Determination of the Most Efficient Forage Sorghum Irrigation Scheduling Strategies in the U.S. Central High Plains Using the AquaCrop Model and Field Experiments

Agronomy, Journal Year: 2023, Volume and Issue: 13(10), P. 2446 - 2446

Published: Sept. 22, 2023

The current status of water resources in the U.S. Central High Plains necessitates adopting conservation practices to move toward a sustainable agricultural economy. Identifying proper irrigation scheduling techniques is conservative practice maintain sustainability systems. However, conducting field experiments time and money consuming. Thus, utilization crop models, such as AquaCrop, could be convenient alternative experiments. FAO AquaCrop model was calibrated validated for simulating forage sorghum yield response various deficit conditions semi-arid region. Afterwards, used investigate efficiency pre-season in-season scenarios. In this study, soil at planting considered indicator level. Therefore, scenarios were arranged replenishment deficiency up 30, 50, 100% soil’s total available first 60 cm depth same levels entire root zone (150 depth). Then, long-term (37 years) simulations biomass use reactions three maximum allowable depletion (MAD) (40, 55, 70%) compared fixed interval (4, 6, 10 days) by considering six (36 scenarios). analysis found 10-day MAD 55% 70% most efficient strategies if combined with that brought (0–150 depth) capacity. Moreover, 40% application least strategy. This study’s outputs can baseline establishing Plains. exploring interactions other agronomic practices, salinity management fertilizer application, highly recommended.

Language: Английский

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Is AquaCrop a useful tool for rapeseed growth and yield prediction in semi-arid regions: model evaluation under different water-saving using long-term weather data

Theoretical and Applied Climatology, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 12, 2023

Language: Английский

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