Water Quality and Yield Assessment of Rice Cultivated on Histosol Under Different Flood Depths DOI
Yuchuan Fan, Naba R. Amgain,

Abul Rabbany

et al.

SSRN Electronic Journal, Journal Year: 2022, Volume and Issue: unknown

Published: Jan. 1, 2022

Rice ( Oryza sativa L.) cultivation by continuous flood irrigation is widely adopted growers worldwide. Maintaining optimum depth during the growing season can have an impact on rice yields and quality. However, surface water quality has received less attention still poorly quantified, mainly due to low-frequency measurements at field scale limited capability measure different parameters. Therefore, this study evaluated a two-year experiment assess drainage across flooded fields cultivated Histosols flooding under four depths- 5 cm, 10 15 20 cm. On average, in both years, all treatments reduced total suspended solids (TSS), nitrogen (TN), phosphorus (TP), potassium (TK) loadings 40%, 38%, 36%, 32%, respectively. The Canadian Council of Ministers Environment Water Quality Index showed that cm had favorable index compared other depths. Results indicated no significant differences yield, therefor be as optimal for Histosol. With application starter fertilizer such (N), (P), or (K) production Histosol, demonstrated used treatment technology improve quality, without compromising

Language: Английский

Projecting the impacts of climate change on soybean production and water requirements using AquaCrop model DOI Creative Commons
Wilfredo B. Barrera, Carmelo Maucieri, Maurizio Borin

et al.

European Journal of Agronomy, Journal Year: 2025, Volume and Issue: 165, P. 127538 - 127538

Published: Feb. 16, 2025

Language: Английский

Citations

2

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

et al.

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

Citations

6

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

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(6), P. 837 - 837

Published: May 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.

Language: Английский

Citations

3

Projected long-term climate change impacts on rainfed durum wheat production and sustainable adaptation strategies DOI Creative Commons

Hiba Ghazouani,

Rihem Jabnoun, Ali Harzallah

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144980 - 144980

Published: Feb. 1, 2025

Language: Английский

Citations

0

Changes in root growth and water uptake contribute to the yield and water productivity improvement in winter wheat during the past three decades: A case study in the North China Plain DOI Creative Commons
Haotian Li, Na Liu,

Liwei Shao

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 313, P. 109482 - 109482

Published: April 12, 2025

Language: Английский

Citations

0

Assessing economic and hydrological effects of water-saving irrigation using a coupled SWAT–MODFLOW–AquaCrop model DOI Creative Commons
Shiruo Hu, Yimin Ding, Song Cui

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 314, P. 109516 - 109516

Published: May 2, 2025

Language: Английский

Citations

0

Effects of Adding Different Corn Residue Components on Soil and Aggregate Organic Carbon DOI Creative Commons

Ninghui Xie,

Liangjie Sun,

Tong Lu

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(10), P. 1050 - 1050

Published: May 12, 2025

Soil organic carbon (SOC) plays a vital role in maintaining soil fertility and ecosystem sustainability, with crop residues serving as key input. However, how different maize residue components influence SOC stabilization across aggregate sizes levels remains poorly understood. This study investigated the effects of roots, stems, leaves on dynamics aggregate-associated under low- high-fertility Brown Earth soils through 360-day laboratory incubation. Results revealed that incorporation induced an initial increase SOC, followed by gradual decline due to microbial mineralization, yet maintained net retention. In low-fertility soil, leaf led highest content (12.08 g kg−1), whereas root were most effective conditions (18.93 kg−1). Residue addition enhanced macroaggregate (>0.25 mm) formation while reducing microaggregate fractions, differential patterns distribution sizes. initially accumulated 0.25–2 mm aggregates but gradually shifted >2 <0.053 fractions over time. Root favored via mineral association, stem promoted aggregate-level protection soils. These findings highlight interactive roles type regulating sequestration pathways.

Language: Английский

Citations

0

Advancing Crop Yield Predictions: AQUACROP Model Application in Poland’s JECAM Fields DOI Creative Commons
Ewa Panek, Ceren Nisanur Ozbilge, Katarzyna Dąbrowska‐Zielińska

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(4), P. 854 - 854

Published: April 19, 2024

This study, employing the AquaCrop model, demonstrated notable efficacy in assessing and predicting crop yields for winter wheat, maize, rapeseed, sugar beets Joint Experiment Crop Assessment Monitoring (JECAM) test area of Poland from 2018 to 2023. In-situ measurements, conducted through field campaigns, included parameters such as electromagnetic radiation reflectance, Leaf Area Index (LAI), soil moisture, accumulated photosynthetically active radiation, chlorophyll content, plant development phase. The model was calibrated with input data covering daily climatic ERA5-land Daily Aggregated repository, details, characteristics. Specifically, Root Mean Square Error (RMSE) values ranged 1.92% 14.26% mean yield per hectare. Maize cultivation showed RMSE ranging 0.21% 1.41% Winter rapeseed exhibited 0.58% 17.15% In case beets, 0.40% 1.65% Normalized Difference Vegetation (NDVI)-based predictions higher accuracy similar maize but lower compared (LAI). study contributes valuable insights into agricultural management practices facilitates decision-making processes farmers region.

Language: Английский

Citations

2

Simulating the Vertical Distribution of Soil Moisture for Winter Wheat Based on a Hydrodynamic-Processes-Driven Water Balance Model in the Huang-Huai-Hai Region, China DOI

Qianchuan Mi,

Meixuan Li,

Zhiguo Huo

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

2

Soil Quality Assessment of Cultivating Flooded Rice on Histosol Under Varying Flood Depths DOI
Yuchuan Fan, Naba R. Amgain,

Abul Rabbany

et al.

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

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Language: Английский

Citations

1