Effects of Plastic Film Mulching Ratio and Nitrogen Fertilizer Application Rate on Spring Maize and its Optimization DOI
Yu Liu,

Gang Cheng,

Shuxian Wang

и другие.

Опубликована: Янв. 1, 2023

Evaluating and optimizing crop management strategies, e.g. plastic film mulching (PM) ratio nitrogen (N) fertilizer application rate, is critical to improving yields sustainable production in agroecosystems. Currently, simulation models combined with experimental data have been proved be effective tools. Herein, a two-year (2021 2022) field experiment was conducted the Longzhong rainfed area flat-cropped spring maize, involving three PM ratios (0 [B], 75% [W], 100% [F]) four N rates [N0], 180 [N180], 225 [N225], 270 [N270] kg ha-1). The AquaCrop model modified consider temperature increasing effect of meteorological propose appropriate maize strategies for different hydrological years. Results showed that could improve soil water heat conditions, effects on moisture content occurring first 90 days 0–60 cm, respectively. fertilizers biomass, yield, efficiency use from maize. However, compensation increase required during sowing-tasseling extraction stages, especially sowing-emergence stage. has better applicability simulate fertility process study after compensating temperature. yield more stable than bare ground, highest at N225 treatments. FN180 treatment dry year, whereas WN225 used normal wet Dry-land areas, reasonable optimization ratio, rate crucial promote use, an strategy

Язык: Английский

Enhancing in-season yield forecast accuracy for film-mulched wheat: A hybrid approach coupling crop model and UAV remote-sensing data by ensemble learning technique DOI

Zhikai Cheng,

Xiaobo Gu,

Zhihui Zhou

и другие.

European Journal of Agronomy, Год журнала: 2024, Номер 156, С. 127174 - 127174

Опубликована: Март 29, 2024

Язык: Английский

Процитировано

9

The Impact of Long-Term Mulched Drip Irrigation on Soil Particle Composition and Salinity in Arid Northwest China DOI Creative Commons
Tianbao Huang, Zhenhua Wang, Li Guo

и другие.

Agronomy, Год журнала: 2024, Номер 14(3), С. 599 - 599

Опубликована: Март 16, 2024

The evaluation of soil particle composition and salt dynamics is essential for promoting the sustainable development oasis agriculture in arid regions under long-term mulched drip irrigation (MDI). In this study, we employed space-for-time substitution method to investigate effects MDI on salinity. Additionally, seven fields, with durations ranging from 0 16 years, were selected represent primary successional sequence though time Northwest China. Soil samples collected three depths (0–30 cm, 30–60 60–100 cm) then analyzed laboratory content. Our findings demonstrated that influenced by depth mechanical cultivation maximum wetting front depth, application significantly altered both structure layers particles after 8 years. sand content salinity gradually decreased, whereas silt clay increased increasing duration throughout 0–100 cm depth. Furthermore, rates desalination stabilized 10 years application, levels exceeding 90% layer. mass fractal dimension (Dm) exhibited an upward trend across changes indirectly variations Dm study effectively mitigated salinity, changed structure, ultimately enhanced quality cotton yield.

Язык: Английский

Процитировано

7

Optimization of maize irrigation strategy in Xinjiang, China by AquaCrop based on a four-year study DOI Creative Commons
Hongyan Zhu, Bingyan Zheng,

Weibo Nie

и другие.

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

Процитировано

6

Assessment of soil mulching field management, and deficit irrigation effect on productivity of watermelon varieties, and AquaCrop model validation DOI Creative Commons
Birara Gebeyhu Reta,

Genet Markos

Heliyon, Год журнала: 2023, Номер 9(11), С. e21632 - e21632

Опубликована: Окт. 26, 2023

Watermelon productivity in the Arba Minch irrigation scheme has been hampered by water scarcity, with only Lady Bells watermelon variety being cultivated area. This challenge can be mitigated adopting water-saving techniques and selecting stress-resistant varieties. Hence, this study aimed to investigate combined impact of soil mulching deficit on various varieties validate AquaCrop model. The experiment employed a randomized complete block design two levels application (100 % SMD 50 SMD), practices (non-mulching mulching), four varieties: (V1), Green Pearl (V2), Kaolack (V3), Koloss (V4). Soil physical properties crop-related data were used calibrate Straw mulching, average, conserved 64.50 mm 262.75 under 100 levels, respectively. minimum maximum land averages 6.2 tonsha−1 (T13) 17.6 (T2), while ranged from 5.2 kgm−3 (T1) 12.4 (T10). Bell displayed high sensitivity stress, 1.27 yield response factor non-soil treatment application. mean benefit-cost ratio varied 1.52 2.90 average values RMSE, NSE, R2 for model 0.70, 0.65, 0.80, respectively, indicating model's acceptability predicting effects productivity. Overall, use straw irrigation, particularly varieties, emerged as most productive cultivation method region when facing limited water. Future research will focus assessing during growth stages.

Язык: Английский

Процитировано

12

A Review on the Optimization of Irrigation Schedules for Farmlands Based on a Simulation–Optimization Model DOI Open Access
Yin Zhao,

Guoan Li,

Sien Li

и другие.

Water, Год журнала: 2024, Номер 16(17), С. 2545 - 2545

Опубликована: Сен. 9, 2024

Agriculture is the most important sector that consuming water resources. In context of global scarcity, how to use limited resources improve efficiency in agriculture or achieve maximum crop yield and fruit quality great significance for ensuring food security. Optimizing irrigation schedules an effective measure efficiency, where models also play role. However, there little research summarizing optimization based on models. This study provides a systematic review optimize simulation–optimization When optimizing models, selected are usually mechanistic agro-hydrological Irrigation scenarios objectives mainly focused both aspects, such as maximizing yield, quality, productivity, productivity. Minimizing consumption total amounts serve objectives, quantity, frequency, interval decision variables. saline areas low fertilizer utilization areas, variables involve some indicators related salt nitrogen, desalination rate, minimum content, nitrogen leaching which salinity, fertilization have been upgraded from water-production function mechanism addition, algorithms traditional techniques intelligent algorithms. Decision-making used make decisions results. spatial scale problem was developed fields regions, time growth stage, beginning with months, shortening ten days, then day, hour. detailed introduction widely algorithms, genetic well techniques. At same time, it proposed future should focus improving analyzing uncertainty schedule optimization, precise regulation schedules.

Язык: Английский

Процитировано

4

Assessment of Grassland Biomass Prediction Using AquaCrop Model: Integrating Sentinel-2 Data and Ground Measurements in Wielkopolska and Podlasie Regions, Poland DOI Creative Commons
Ewa Panek, Ceren Nisanur Ozbilge, Katarzyna Dąbrowska‐Zielińska

и другие.

Agriculture, Год журнала: 2024, Номер 14(6), С. 837 - 837

Опубликована: Май 27, 2024

This study aimed to compare remotely sensed data with in situ using the AquaCrop simulation model for accurately monitoring growth conditions and predict grassland biomass north-eastern central-western regions of Poland from 2020 2022. The was calibrated input data, including daily climate parameters ERA5-Land Daily Aggregated dataset, crop characteristics (initial canopy cover, maximum harvest index), soil characteristics. Additionally, such as leaf area index (LAI), texture classes, plant stages were obtained through field campaigns. grassland’s results indicate that root mean square error (RMSE) values region ranged 0.12 0.35 t·ha−1, while region, they 0.07 t·ha−1. Overall, outcomes Sentinel-2 perform comparably measurements, some instances, even yield superior results. contributes valuable insights into grass production management on farms, providing essential information tools managers better understand development.

Язык: Английский

Процитировано

3

Calibration and validation of the AquaCrop model for simulating cotton growth under a semi-arid climate in Uzbekistan DOI Creative Commons
Julien Boulangé,

Sherzod Nizamov,

Aziz Nurbekov

и другие.

Agricultural Water Management, Год журнала: 2025, Номер 310, С. 109360 - 109360

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop model DOI Creative Commons
En Lin, Rangjian Qiu, Xinxin Li

и другие.

Agricultural Water Management, Год журнала: 2025, Номер 316, С. 109569 - 109569

Опубликована: Май 28, 2025

Язык: Английский

Процитировано

0

Analysis of Soil Moisture, Temperature, and Salinity in Cotton Field under Non-Mulched Drip Irrigation in South Xinjiang DOI Creative Commons
Hongbo Wang, Hui Cao, Fuchang Jiang

и другие.

Agriculture, Год журнала: 2022, Номер 12(10), С. 1589 - 1589

Опубликована: Окт. 1, 2022

The mulch film residues in cotton fields south Xinjiang have caused serious harm to the soil environment and ecological security oasis areas. Non-mulched planting provides an alternative approach this problem. In experiment, irrigation was provided on basis of reference crop evapotranspiration (ET0). Two layouts drip tapes (1T4R—one tape for four rows; 2T4R—two rows) were applied non-mulched, drip-irrigated Xinjiang, their impacts water–heat–salt dynamic changes water consumption yield compared analyzed. experiment shows that 2T4R layout excellent water–salt growth formation. Soil temperature decreased by 0.8 °C belt input increased CNY1200·hm−2. However, a higher profit derived from could compensate expenditure. results show cultivation using non-mulched instead mulched can potentially alleviate environmental problems plastic Although reduced about 15%, nitrogen strategies other field management be adjusted disadvantages.

Язык: Английский

Процитировано

12

STICS Soil–Crop Model Performance for Predicting Biomass and Nitrogen Status of Spring Barley Cropped for 31 Years in a Gleysolic Soil from Northeastern Quebec (Canada) DOI Creative Commons

Nomena Ravelojaona,

Guillaume Jégo, Noura Ziadi

и другие.

Agronomy, Год журнала: 2023, Номер 13(10), С. 2540 - 2540

Опубликована: Сен. 30, 2023

Spring barley (Hordeum vulgare L.) is an increasingly important cash crop in the province of Quebec (Canada). Soil–crop models are powerful tools for analyzing and supporting sustainable production. STICS model has not yet been tested spring grown over several decades. This study was conducted to calibrate evaluate model, without annual reinitialization, predicting aboveground biomass N nutrition attributes at harvest during 31 years successive cropping soil (silty clay, Humic Gleysol) from Saguenay–Lac-Saint-Jean region (northeastern Quebec, Canada). There a good agreement between observed predicted variables years. well accumulation plant content with low relative bias (|normalized mean error| = 0–13%) small prediction error (normalized root square 6–25%). Overall, outputs reproduced same trends as field-observed data various tillage systems sources. Predictions were more accurate rainfall close long-term average. These ‘newly calibrated’ parameters cropped under continental cold humid climates require validation using independent observation datasets other sites.

Язык: Английский

Процитировано

7