Optimizing drip irrigation to enhance winter wheat performance: yield, economic benefits, and water use efficiency DOI Creative Commons

Yanhui Wang,

Haowei Sun,

Li Wang

et al.

International Journal of Agricultural Sustainability, Journal Year: 2024, Volume and Issue: 22(1)

Published: Dec. 11, 2024

Drip irrigation is beneficial for improving crop yield and water use efficiency (WUE); however, it rarely used winter wheat production in semi-humid drought-prone areas. To evaluate the optimal drip amount, a 4-year field experiment was conducted to investigate effects of applying different amounts (RF: rainfed; DI1, DI2, DI3: 60, 120, 180 mm irrigation; FI3: traditional flood irrigation) on available soil storage (ASWS), agronomic physiological characteristics, yield, net income, WUE Guanzhong Plain China. The results showed that DI2 treatment performed best among five treatments, which attributed improvement ASWS consumption 1–2 m layer, leaf area index, chlorophyll content, photosynthetic rate. four-year average grain DI2-treated increased by 15.4%, 18.4%, 25.5%, respectively, compared with FI3. Regression analysis indicated were 163 137 dry normal years, can be considered as guideline economical strategy

Language: Английский

Winter wheat maturity date prediction using MODIS/ECMWF data: Accuracy evaluation and spatiotemporal variation analysis DOI
Ruixuan Liu, Fangzhao Zhang, Yuhe Gao

et al.

European Journal of Agronomy, Journal Year: 2025, Volume and Issue: 167, P. 127581 - 127581

Published: March 6, 2025

Language: Английский

Citations

1
Development of a Drought Monitoring System for Winter Wheat in the Huang-Huai-Hai Region, China, Utilizing a Machine Learning–Physical Process Hybrid Model DOI Creative Commons

Qianchuan Mi,

Zhiguo Huo,

Meixuan Li

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 696 - 696

Published: March 13, 2025

Droughts, intensified by climate change and human activities, pose a significant threat to winter wheat cultivation in the Huang-Huai-Hai (HHH) region. Soil moisture drought indices are crucial for monitoring agricultural droughts, while challenges such as data accessibility soil heterogeneous necessitate use of numerical simulations their effective regional-scale applications. The existing simulation methods like physical process models machine learning (ML) algorithms have limitations: struggle with parameter acquisition at regional scales, ML face difficulties settings due presence crops. As more advanced complex branch ML, deep even greater limitations related crop growth management. To address these challenges, this study proposed novel hybrid system that merged model. Initially, we employed Random Forest (RF) regression model integrated multi-source environmental factors estimate prior sowing wheat, achieving an average coefficient determination (R2) 0.8618, root mean square error (RMSE) 0.0182 m3 m−3, absolute (MAE) 0.0148 m−3 across eight depths. RF provided vital parameters operation Water Balance Winter Wheat (WBWW) scale, enabling assessments combined Moisture Anomaly Percentage Index (SMAPI). Subsequent comparative analyses between system-generated results actual disaster records during two events highlighted its efficacy. Finally, utilized examine spatiotemporal variations patterns HHH region over past decades. findings revealed overall intensification conditions decline SMAPI rate −0.021% per year. Concurrently, there has been shift patterns, characterized increase both frequency extremity events, duration intensity individual decreased majority Additionally, identified northeastern, western, southern areas requiring concentrated attention targeted intervention strategies. These efforts signify notable application fusion techniques integration within big context, thereby facilitating prevention, management, mitigation

Language: Английский

Citations

0
A Novel Transpiration Drought Index for Winter Wheat in the Huang-Huai-Hai Region, China: A Process-Based Framework Incorporating Improved Crop Water Supply–Demand Dynamics DOI Creative Commons

Qianchuan Mi,

Zhiguo Huo,

Meixuan Li

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 679 - 679

Published: March 11, 2025

Monitoring agricultural drought is crucial for mitigating yield losses in winter wheat, especially the Huang-Huai-Hai (HHH) region of China. Current indices often fall short accurately representing water supply–demand dynamics crops, neglect irrigation practices, and overemphasize intensity rather than its evolution overall impact. To address these concerns, we developed a novel transpiration index utilizing Water Balance Winter Wheat (WBWW) model. This integrated variations atmospheric conditions, soil moisture crop resistance, practices to enhance evaluation supply demand dynamics. The WBWW model was initially validated against field measurements, achieving an R2 0.7573, thereby confirming reliability subsequent analyses. create mechanistic understanding demand, adopted reduction rate actual potential identify events constructed joint probability distributions duration severity using copulas. led development Drought Assessment Index (WDAI). grade threshold WDAI established based on historical data from HHH through series statistical determination methods. Our findings showed that successfully identified 87.36% samples according their recorded grades, with 97.13% within one records. Comparative analyses retained regional existing indices—the Crop Deficit (CWDI) Relative Soil Moisture (RSMI)—further demonstrated effectiveness. study represents robust tool dynamic monitoring offers critical insights into practices.

Language: Английский

Citations

0
Applicability assessment of six drought indices in different maize producing regions of China DOI

Jie Ma,

Peijuan Wang, Rui Feng

et al.

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

Language: Английский

Citations

0
Construction of Indicators of Low-Temperature Stress Levels at the Jointing Stage of Winter Wheat DOI Creative Commons
Fengyin Zhang,

Zhiguo Huo,

Zaiqiang Yang

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(8), P. 1430 - 1430

Published: Aug. 22, 2024

This study aimed to investigate the impact of low-temperature (LT) stress during jointing stage on three most representative wheat varieties in Huang-Huai-Hai region: “Shannong 38” (a robust winter variety), “Jimai 22” semi-winter and “Zhenmai 12” weak variety). The objective was explain sensitivity change thresholds various physiological yield indicators low temperatures construct an index for grading LT disasters using principal component analysis. Controlled environment experiments were conducted artificial climate chamber wheat. Five daily minimum temperature treatments applied, namely (T1, −6 °C); (T2, −3 (T3, 0 (T4, 3 (T5, 6 control (CK, 8 °C). duration divided into levels: (D1: 2 days), (D2: 4 (D3: days). It found that photosynthetic parameters chlorophyll content showed a decreasing trend with increase degree stress. activities protective enzymes endogenous hormones increased early stages or at relatively high temperatures. However, they decreased significantly Among varieties, exhibited reduction rate exceeding 10% under °C more than days 20% days. lasting days, experienced Principal analysis (PCA) all trait revealed mild moderate severe

Language: Английский

Citations

2
Vegetation Restoration Enhanced Canopy Interception and Soil Evaporation but Constrained Transpiration in Hekou–Longmen Section During 2000–2018 DOI Creative Commons

Peidong Han,

Guang Yang,

Yangyang Liu

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2606 - 2606

Published: Nov. 5, 2024

The quantitative assessment of the impact vegetation restoration on evapotranspiration and its components is great significance in developing sustainable ecological strategies for water resources a given region. In this study, we used Priestley-Taylor Jet Pro-pulsion Laboratory (PT-JPL) to simulate ET Helong section (HLS) Yellow River basin. effects components, transpiration (Et), soil evaporation (Es), canopy interception (Ei) were separated by manipulating model variables. Our findings are as follows: (1) simulation results compared with calculated balance annual average MODIS products. R2 validation 0.61 0.78, respectively. show that PT-JPL tracks change HLS well. During 2000–2018, ET, Ei, Es increased at rate 1.33, 0.87, 2.99 mm/a, respectively, while Et decreased 2.52 mm/a. (2) Vegetation region from 331.26 mm (vegetation-unchanged scenario) 338.85 (vegetation during study period, an increase 2.3%. (3) TMP (temperature) VPD (vapor pressure deficit) dominant factors affecting changes most areas HLS. more than 37.2% HLS, dominated vapor difference (VPD) area 30.5% Overall, precipitation (PRE) main changes. Compared previous studies directly explore relationship between many influencing through correlation research methods, our uses control variables obtain under two different scenarios then performs analysis. This method can reduce excessive interference other results. provide strategic support future resource management

Language: Английский

Citations

2
Optimizing drip irrigation to enhance winter wheat performance: yield, economic benefits, and water use efficiency DOI Creative Commons

Yanhui Wang,

Haowei Sun,

Li Wang

et al.

International Journal of Agricultural Sustainability, Journal Year: 2024, Volume and Issue: 22(1)

Published: Dec. 11, 2024

Drip irrigation is beneficial for improving crop yield and water use efficiency (WUE); however, it rarely used winter wheat production in semi-humid drought-prone areas. To evaluate the optimal drip amount, a 4-year field experiment was conducted to investigate effects of applying different amounts (RF: rainfed; DI1, DI2, DI3: 60, 120, 180 mm irrigation; FI3: traditional flood irrigation) on available soil storage (ASWS), agronomic physiological characteristics, yield, net income, WUE Guanzhong Plain China. The results showed that DI2 treatment performed best among five treatments, which attributed improvement ASWS consumption 1–2 m layer, leaf area index, chlorophyll content, photosynthetic rate. four-year average grain DI2-treated increased by 15.4%, 18.4%, 25.5%, respectively, compared with FI3. Regression analysis indicated were 163 137 dry normal years, can be considered as guideline economical strategy

Language: Английский

Citations

1