Agricultural Water Management, Год журнала: 2025, Номер 313, С. 109506 - 109506
Опубликована: Апрель 26, 2025
Agricultural Systems, Год журнала: 2025, Номер 224, С. 104242 - 104242
Опубликована: Янв. 15, 2025
Язык: Английский
Процитировано
3
Agricultural Water Management, Год журнала: 2023, Номер 287, С. 108431 - 108431
Опубликована: Июль 3, 2023
Increasing scarcity of irrigation water is threatening global winter wheat production and food security. As a major world crop, has been pivotal in enhancing the sustainable wheat. To ensure security, it vital to better understand demands during key growth periods improve productivity (WP). Here we combined precipitation crop requirements analyze impacts deficit (CWDI) on main planting belt China. The results showed that often had unbalanced budgets, leading serious frequent CWDI North China Plain (NCP) Northwestern (NW), especially pre-anthesis from greening jointing anthesis. Water these two phenological caused considerable yield reductions 60% 55%, respectively, compared conditions sufficient supply. In contrast, Xinjiang (XJ), extreme significant negative impact both pre- post-anthesis periods. contribution different scenarios was analyzed using CERES-Wheat model Decision Support System for Agrotechnology Transfer (DSSAT). Results indicated critical scenario (CI) alleviating effects periods, growth, 51%−92% increase rain-fed yields NCP NW. Moreover, CI could result high WP high-yield (HYP) at most levels (except extreme). Adding additional heading were met can simultaneously HYP while maintaining higher region XJ. These imply responses vary by regions, making optimized strategies an effective practice mitigate shortage safety.
Язык: Английский
Процитировано
30
Plants, Год журнала: 2023, Номер 12(4), С. 692 - 692
Опубликована: Фев. 4, 2023
Irrigation has been pivotal in sustaining wheat as a major food crop the world and is increasingly important an adaptation response to climate change. In context of agricultural production responding change, improved irrigation management plays significant role increasing water productivity (WP) maintaining sustainable development resources. Considering that cultivated arid semi-arid regions, which consumes high amounts water, developing with efficiency urgently required. Both scheduling methods intricately influence physiology, affect plant growth development, regulate grain yield quality. this frame, review aims provide critical analysis regulation mechanism on formation, key traits involved uptake utilization efficiency, we suggest series future perspectives could enhance wheat.
Язык: Английский
Процитировано
26
Journal of soil science and plant nutrition, Год журнала: 2023, Номер 23(2), С. 2651 - 2661
Опубликована: Апрель 12, 2023
Язык: Английский
Процитировано
25
Remote Sensing, Год журнала: 2025, Номер 17(5), С. 774 - 774
Опубликована: Фев. 23, 2025
Wheat (Triticum aestivum L.) is one of the world’s primary food crops, and timely accurate yield prediction essential for ensuring security. There has been a growing use remote sensing, climate data, their combination to estimate yields, but optimal indices time window wheat in arid regions remain unclear. This study was conducted (1) assess performance widely recognized sensing predict at different growth stages, (2) evaluate predictive accuracy machine learning models, (3) determine appropriate period regions, (4) impact parameters on model accuracy. The vegetation indices, due proven effectiveness, used this include Normalized Difference Vegetation Index (NDVI), Enhanced (EVI), Atmospheric Resistance (ARVI). Moreover, four viz. Decision Trees (DTs), Random Forest (RF), Gradient Boosting (GB), Bagging (BTs), were evaluated region. whole divided into three windows: tillering grain filling (December 15–March), stem elongation (January heading (February–March 15). developed Google Earth Engine (GEE), combining data. results showed that RF with ARVI could accurately maturity stages an R2 > 0.75 error less than 10%. stage identified as regions. While delivered best results, GB EVI slightly lower precision still outperformed other models. It concluded multisource data models promising approach
Язык: Английский
Процитировано
2
Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 133062 - 133062
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
2
Land, Год журнала: 2021, Номер 10(12), С. 1375 - 1375
Опубликована: Дек. 11, 2021
The APSIM-Wheat and AQUACROP models were calibrated for the Sakha 95 cultivar using phenological data, grain biomass yield, genetic parameters based on field observation. Various treatments of planting dates, irrigation, fertilization applied over two successive winter growing seasons 2019/2020 2020/2021. Both simulated anthesis, maturity aboveground accurately with high performances (coefficient determination, index agreement greater than 0.8, lower values root mean square deviation) in most cases. then employed to explore wheat yield water productivity (WP) response irrigation nitrogen applications. Scenario analyses indicated that ranged from 1.2–2.0 kg m–3 6.8–8.7 t ha–1, respectively. Application 0.8 actual evapotranspiration 120% recommended dose was best-predicted scenario achieving highest value crop WP. Investigating suitable option current by farmers (7.4 ha–1), demonstrated application 1.4 80% best achieve this yield. At point, predicted WP low recorded 1.5 m–3. Quantifying all districts studied area also both models. can be used drive management strategies terms N fertilizer regime under Egyptian conditions.
Язык: Английский
Процитировано
42
Agricultural Water Management, Год журнала: 2022, Номер 275, С. 108017 - 108017
Опубликована: Ноя. 16, 2022
Global climate change associated with increasing temperature and unreliable rainfall events will have consequences for crop production. Therefore, strategizing management gained the attention of scientists to curtail adverse impacts on However, projected effects wheat may vary in different cropping systems as production is reported be significantly impacted by future major worldwide. In present study, ten experiments were conducted under irrigated (2007–2013) rainfed (2010–2014) Pakistan quantify interactive (CO2, temperature, rainfall) phenology, grain yield, evapotranspiration (ETc), water use efficiency (WUE) using DSSAT-CERES-Wheat. The DSSAT-CERES-Wheat was executed 17 Climate Models (GCMs) four Representative Concentration Pathways (RCPs; 2.6, 4.5, 6.0, 8.5) forecast projections 2030, 2050, 2090. average at both sites increase 1.3, 1.9, 2.9 ℃ RCP 8.5. simulated output varies among GCMs, RCPs, CO2 concentration, periods. A general reduction ETc, WUE anticipated. higher concentration early maturity improved conditions. Nevertheless, this gain cost a relatively yield loss. Wheat expected decline 2–19% 9–30% conditions, respectively aggregating across GCMs RCPs. Adaptation strategies mitigate areas required. Our findings serve foundation designing adaptation sustain Pakistan's systems.
Язык: Английский
Процитировано
37
International Journal of Biometeorology, Год журнала: 2022, Номер 66(5), С. 971 - 985
Опубликована: Фев. 12, 2022
Язык: Английский
Процитировано
35
Environmental Monitoring and Assessment, Год журнала: 2023, Номер 195(2)
Опубликована: Янв. 24, 2023
Язык: Английский
Процитировано
22