Pub Date : 2026-01-20DOI: 10.1016/j.agwat.2025.110087
Suman Budhathoki , Ryan Stewart , William Hunter Frame , Julie Shortridge
Climate change is expected to alter crop productivity and nitrogen dynamics, yet limited research has quantified how different irrigation strategies can mitigate these impacts, particularly in humid regions where erratic rainfall complicates water and nutrient management. This study employs the agro-hydrological model SWAP to examine the performance of rainfed, calendar, and precision irrigation with both single (1 N) and split (2 N) nitrogen applications. SWAP model calibration and evaluation were conducted using observed volumetric water content across multiple soil depths as well as nitrate concentration data. Corn yield, nitrogen uptake, nitrate leaching, and irrigation water productivity were compared for each integrated irrigation and nitrogen strategy under different climate scenarios. To distinguish the effects of irrigation and nitrogen application strategy, precision irrigation was simulated using both a single nitrogen application (Precision-1N) and a split application (Precision-2N). Results indicated that nitrogen application timing (1 N vs. 2 N) had less of an impact on yields, leaching, and water productivity compared to irrigation strategy. Precision-2N consistently outperformed the Calendar-1N system across all scenarios, with higher yields and nitrogen uptake, and significantly better water productivity. The greatest long-term benefits of the Precision-2N treatment compared to Calendar-1N were observed under Scenario 4, which featured increased rainfall variability without an increase in total precipitation. In contrast, the smallest disparities between the irrigation treatments were observed in climate scenarios where precipitation increased. An analysis of interannual variability demonstrated that the Precision-2N benefits were most pronounced during years with frequent extreme temperature events. These findings reinforce the effectiveness of Precision-2N to achieve a favorable balance between higher yields and reduced NO₃ leaching.
气候变化预计会改变作物生产力和氮动态,然而有限的研究量化了不同的灌溉策略如何减轻这些影响,特别是在降雨不稳定使水和养分管理复杂化的潮湿地区。本研究采用农业水文模型SWAP来考察单施(1 N)和分施(2 N)氮的旱作灌溉、日历灌溉和精准灌溉的性能。SWAP模型的校准和评估是利用观测到的不同土壤深度的体积含水量以及硝酸盐浓度数据进行的。比较了不同气候情景下灌氮一体化策略的玉米产量、氮素吸收、硝态氮淋溶和灌溉水生产力。为了区分灌溉和施氮策略的影响,采用单次施氮(precision - 1n)和分次施氮(precision - 2n)模拟精确灌溉。结果表明,与灌溉策略相比,施氮时机(1 N vs. 2 N)对产量、淋溶和水分生产力的影响较小。Precision-2N在所有情况下都优于Calendar-1N系统,具有更高的产量和氮吸收率,并且显着提高了水分生产力。与Calendar-1N相比,Precision-2N处理的最大长期效益是在情景4下观察到的,其特征是降雨变率增加,但总降水量没有增加。相反,在降水增加的气候情景下,灌溉处理之间的差异最小。对年际变率的分析表明,在极端温度事件频繁的年份,Precision-2N的效益最为显著。这些发现加强了Precision-2N在提高产量和减少NO₃浸出之间取得良好平衡的有效性。
{"title":"Evaluating precision irrigation and nitrogen management for corn using SWAP model under changing humid climates","authors":"Suman Budhathoki , Ryan Stewart , William Hunter Frame , Julie Shortridge","doi":"10.1016/j.agwat.2025.110087","DOIUrl":"10.1016/j.agwat.2025.110087","url":null,"abstract":"<div><div>Climate change is expected to alter crop productivity and nitrogen dynamics, yet limited research has quantified how different irrigation strategies can mitigate these impacts, particularly in humid regions where erratic rainfall complicates water and nutrient management. This study employs the agro-hydrological model SWAP to examine the performance of rainfed, calendar, and precision irrigation with both single (1 N) and split (2 N) nitrogen applications. SWAP model calibration and evaluation were conducted using observed volumetric water content across multiple soil depths as well as nitrate concentration data. Corn yield, nitrogen uptake, nitrate leaching, and irrigation water productivity were compared for each integrated irrigation and nitrogen strategy under different climate scenarios. To distinguish the effects of irrigation and nitrogen application strategy, precision irrigation was simulated using both a single nitrogen application (Precision-1N) and a split application (Precision-2N). Results indicated that nitrogen application timing (1 N vs. 2 N) had less of an impact on yields, leaching, and water productivity compared to irrigation strategy. Precision-2N consistently outperformed the Calendar-1N system across all scenarios, with higher yields and nitrogen uptake, and significantly better water productivity. The greatest long-term benefits of the Precision-2N treatment compared to Calendar-1N were observed under Scenario 4, which featured increased rainfall variability without an increase in total precipitation. In contrast, the smallest disparities between the irrigation treatments were observed in climate scenarios where precipitation increased. An analysis of interannual variability demonstrated that the Precision-2N benefits were most pronounced during years with frequent extreme temperature events. These findings reinforce the effectiveness of Precision-2N to achieve a favorable balance between higher yields and reduced NO₃ leaching.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"325 ","pages":"Article 110087"},"PeriodicalIF":6.5,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1016/j.agwat.2026.110162
S. Gutiérrez-Gordillo , L. Conti , G. Egea , S. Vélez , R. Martínez-Peña , D. Andima , V. Blanco , M.A. Sarıdaş , B. Kapur , T.A. Paço , E. Kullaj , Ş.E. Aslan , O. Sperling , K. Vukićević , P. Losciale
Almond (Prunus dulcis (Mill.) D.A. Webb) is one of the most important nut crops cultivated in arid and semi-arid regions, where water availability is a key factor determining yield and nut quality. Its domestication in dry environments has favoured traits such as deep rooting and early phenology, which confer a moderate tolerance to drought. However, under prolonged or severe water stress, these adaptations become insufficient, leading to declines in yield. Understanding the balance between tolerance and vulnerability is therefore essential for developing irrigation strategies that ensure yield stability, nut quality and long-term orchard resilience under climatic conditions and modern cultivation systems increasingly dependent on irrigation. This review provides an integrative overview of almond’s anatomical and ecophysiological responses to water availability, emphasizing key physiological indicators, such as water potential, stomatal conductance, and leaf temperature, as tools to guide irrigation management. The reliability of these variables depends on environmental conditions, phenological stages, and cultivar-specific traits, which complicates the definition of universal thresholds. By integrating anatomical and physiological evidence with recent advances in monitoring technologies, this review aims to support the development of standardized, adaptive irrigation protocols that enhance water use efficiency of almond trees while preserving yield and nut quality. Understanding cultivar adaptation and physiological thresholds is critical to ensure resilient almond production under increasing climate and water challenges.
{"title":"Linking anatomy and physiology of almond to irrigation strategies: Towards standardized thresholds and decision-support tools for water-limited environments","authors":"S. Gutiérrez-Gordillo , L. Conti , G. Egea , S. Vélez , R. Martínez-Peña , D. Andima , V. Blanco , M.A. Sarıdaş , B. Kapur , T.A. Paço , E. Kullaj , Ş.E. Aslan , O. Sperling , K. Vukićević , P. Losciale","doi":"10.1016/j.agwat.2026.110162","DOIUrl":"10.1016/j.agwat.2026.110162","url":null,"abstract":"<div><div>Almond (<em>Prunus dulcis</em> (Mill.) D.A. Webb) is one of the most important nut crops cultivated in arid and semi-arid regions, where water availability is a key factor determining yield and nut quality. Its domestication in dry environments has favoured traits such as deep rooting and early phenology, which confer a moderate tolerance to drought. However, under prolonged or severe water stress, these adaptations become insufficient, leading to declines in yield. Understanding the balance between tolerance and vulnerability is therefore essential for developing irrigation strategies that ensure yield stability, nut quality and long-term orchard resilience under climatic conditions and modern cultivation systems increasingly dependent on irrigation. This review provides an integrative overview of almond’s anatomical and ecophysiological responses to water availability, emphasizing key physiological indicators, such as water potential, stomatal conductance, and leaf temperature, as tools to guide irrigation management. The reliability of these variables depends on environmental conditions, phenological stages, and cultivar-specific traits, which complicates the definition of universal thresholds. By integrating anatomical and physiological evidence with recent advances in monitoring technologies, this review aims to support the development of standardized, adaptive irrigation protocols that enhance water use efficiency of almond trees while preserving yield and nut quality. Understanding cultivar adaptation and physiological thresholds is critical to ensure resilient almond production under increasing climate and water challenges.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"325 ","pages":"Article 110162"},"PeriodicalIF":6.5,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.agwat.2026.110163
Yao Li , Kegong Shi , Xiaoya Wang , Xuegui Zhang , Zhunqiao Liu , Xiaoliang Lu , Xiaobo Gu , Jiatun Xu , Yujuan Fu , Xiongbiao Peng , Huanjie Cai
Under climate change, accurate estimation of actual crop evapotranspiration (ETc act) and gross primary productivity (GPP) is essential for understanding ecosystem water–carbon coupling and improving agricultural water management. Traditional models mainly rely on meteorological and structural variables but often fail to represent physiological processes such as photosynthesis and stomatal regulation. In this study, four consecutive years of joint observations were conducted in a winter wheat field in Yangling, Northwest China, using eddy covariance, tower-based solar-induced chlorophyll fluorescence (SIF), and meteorological sensors. SIF was integrated into a machine learning framework to estimate water–carbon fluxes, and the Shapley additive explanations (SHAP) method was used to quantify factor contributions across phenological stages. The inclusion of SIF improved model accuracy. For ETc act, R2 increased by 0.02 and RMSE decreased by 0.03 mm day−1. For GPP, R2 increased by 0.06 and RMSE decreased by 1.01 g C m−2 day−1. Among all models, the long short-term memory model performed best, achieving R2 values of 0.88 and 0.91 and RMSE values of 0.85 mm day−1 and 0.81 g C m−2 day−1 for ETc act and GPP, respectively. SHAP analysis indicated that net radiation was the dominant driver of ETc act, while the contribution of SIF increased with crop development. For GPP, SIF was the most important predictor in almost all stages. Taken together, integrating SIF with explainable machine learning enhanced both estimation accuracy and understanding of coupled water–carbon processes, providing support for precision irrigation and sustainable crop management.
在气候变化条件下,准确估算作物实际蒸散量(ETc act)和总初级生产力(GPP)对认识生态系统水碳耦合和改善农业用水管理具有重要意义。传统的模型主要依赖于气象和结构变量,但往往不能反映光合作用和气孔调节等生理过程。利用涡旋相关方差(eddy correlation variance)、太阳诱导叶绿素荧光(SIF)和气象传感器对杨凌冬小麦进行了连续4年的联合观测。将SIF集成到机器学习框架中以估计水-碳通量,并使用Shapley加性解释(SHAP)方法来量化各物候阶段的因子贡献。SIF的加入提高了模型的精度。ETc act的R2增加0.02,RMSE减少0.03 mm day - 1。GPP的R2升高0.06,RMSE降低1.01 g C m−2 day−1。在所有模型中,长短期记忆模型表现最好,ETc act和GPP的R2分别为0.88和0.91,RMSE分别为0.85 mm day - 1和0.81 g C m - 2 day - 1。SHAP分析表明,净辐射是ETc行为的主要驱动力,而SIF的贡献随着作物发育而增加。对于GPP, SIF在几乎所有阶段都是最重要的预测因子。综上所述,将SIF与可解释的机器学习相结合,提高了估计精度和对耦合水-碳过程的理解,为精准灌溉和可持续作物管理提供了支持。
{"title":"Explainable machine learning for joint estimation of evapotranspiration and gross primary productivity in a winter wheat cropland in Northwest China","authors":"Yao Li , Kegong Shi , Xiaoya Wang , Xuegui Zhang , Zhunqiao Liu , Xiaoliang Lu , Xiaobo Gu , Jiatun Xu , Yujuan Fu , Xiongbiao Peng , Huanjie Cai","doi":"10.1016/j.agwat.2026.110163","DOIUrl":"10.1016/j.agwat.2026.110163","url":null,"abstract":"<div><div>Under climate change, accurate estimation of actual crop evapotranspiration (ET<sub>c act</sub>) and gross primary productivity (GPP) is essential for understanding ecosystem water–carbon coupling and improving agricultural water management. Traditional models mainly rely on meteorological and structural variables but often fail to represent physiological processes such as photosynthesis and stomatal regulation. In this study, four consecutive years of joint observations were conducted in a winter wheat field in Yangling, Northwest China, using eddy covariance, tower-based solar-induced chlorophyll fluorescence (SIF), and meteorological sensors. SIF was integrated into a machine learning framework to estimate water–carbon fluxes, and the Shapley additive explanations (SHAP) method was used to quantify factor contributions across phenological stages. The inclusion of SIF improved model accuracy. For ET<sub>c act</sub>, R<sup>2</sup> increased by 0.02 and RMSE decreased by 0.03 mm day<sup>−1</sup>. For GPP, R<sup>2</sup> increased by 0.06 and RMSE decreased by 1.01 g C m<sup>−2</sup> day<sup>−1</sup>. Among all models, the long short-term memory model performed best, achieving R<sup>2</sup> values of 0.88 and 0.91 and RMSE values of 0.85 mm day<sup>−1</sup> and 0.81 g C m<sup>−2</sup> day<sup>−1</sup> for ET<sub>c act</sub> and GPP, respectively. SHAP analysis indicated that net radiation was the dominant driver of ET<sub>c act</sub>, while the contribution of SIF increased with crop development. For GPP, SIF was the most important predictor in almost all stages. Taken together, integrating SIF with explainable machine learning enhanced both estimation accuracy and understanding of coupled water–carbon processes, providing support for precision irrigation and sustainable crop management.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"325 ","pages":"Article 110163"},"PeriodicalIF":6.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.agwat.2026.110159
Ning Yang , Miaomiao Zhang , Huimin Jia , Xiaoru Zhao , Muhammad Farooq , Pengfei Dang , Shiguang Wang , Xiping Pan , Charles O. Joseph , Kadambot H.M. Siddique , Jiquan Xue , Xiaoliang Qin
Maize is the most widely cultivated crop in China. However, droughts pose significant challenges to the sustainable development of China’s maize. Under the condition of limited water supply, reasonable supplementary irrigation is an effective measure to alleviate maize drought and increase yield. We conducted a meta-analysis based on 82 field studies and 2836 data pairs to evaluate the effects of supplemental irrigation on maize yield and crop water productivity (WPc) in China. This study revealed that supplemental irrigation increased maize yield by 17.5 % across China. Annual precipitation, average temperature, maize variety, and irrigation amount significantly influenced yield responses. Yield gains after supplemental irrigation decreased (p < 0.01) as annual precipitation and temperature increased. Regionally, the highest yield improvements were observed in Northwest China (20.08 %), followed by the Huang-Huai-Hai Plain (17.01 %) and North China (16.37 %) (p < 0.05). Yield gains after supplemental irrigation were mainly due to the increases in grain number (10.67 %) and grain weight (9.28 %), while supplemental irrigation has no effect on ear number. Although supplemental irrigation increased maize water consumption (ETa), it had not significantly effect on WPc, its with effects on WPc varied by region, with significantly improvements in Northwest China but no reductions in the Huang-Huai-Hai Plain and North China. Additionally, newer high-yielding maize varieties showed greater yield increases with supplemental irrigation than older varieties. Across regions, a single supplemental irrigation of 50 mm was deemed most appropriate. This study offered strategies for optimizing irrigation management strategies in China’s maize-producing areas.
{"title":"Response of maize to supplemental irrigation and other agronomic practices in different regions of China: A meta-analysis","authors":"Ning Yang , Miaomiao Zhang , Huimin Jia , Xiaoru Zhao , Muhammad Farooq , Pengfei Dang , Shiguang Wang , Xiping Pan , Charles O. Joseph , Kadambot H.M. Siddique , Jiquan Xue , Xiaoliang Qin","doi":"10.1016/j.agwat.2026.110159","DOIUrl":"10.1016/j.agwat.2026.110159","url":null,"abstract":"<div><div>Maize is the most widely cultivated crop in China. However, droughts pose significant challenges to the sustainable development of China’s maize. Under the condition of limited water supply, reasonable supplementary irrigation is an effective measure to alleviate maize drought and increase yield. We conducted a meta-analysis based on 82 field studies and 2836 data pairs to evaluate the effects of supplemental irrigation on maize yield and crop water productivity (WP<sub>c</sub>) in China. This study revealed that supplemental irrigation increased maize yield by 17.5 % across China. Annual precipitation, average temperature, maize variety, and irrigation amount significantly influenced yield responses. Yield gains after supplemental irrigation decreased (p < 0.01) as annual precipitation and temperature increased. Regionally, the highest yield improvements were observed in Northwest China (20.08 %), followed by the Huang-Huai-Hai Plain (17.01 %) and North China (16.37 %) (p < 0.05). Yield gains after supplemental irrigation were mainly due to the increases in grain number (10.67 %) and grain weight (9.28 %), while supplemental irrigation has no effect on ear number. Although supplemental irrigation increased maize water consumption (ET<sub>a</sub>), it had not signific<sub>a</sub>ntly effect on WP<sub>c</sub>, its with effects on WP<sub>c</sub> varied by region, with significantly improvements in Northwest China but no reductions in the Huang-Huai-Hai Plain and North China. Additionally, newer high-yielding maize varieties showed greater yield increases with supplemental irrigation than older varieties. Across regions, a single supplemental irrigation of 50 mm was deemed most appropriate. This study offered strategies for optimizing irrigation management strategies in China’s maize-producing areas.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"325 ","pages":"Article 110159"},"PeriodicalIF":6.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.agwat.2026.110168
Ke Ma , Zheng Jia , Xinya Wen , Fu Chen
To elucidate the mechanisms underlying yield formation in response to water and fertilizer management in traditional and modern foxtail millet varieties, a field experiment was conducted using the traditional cultivar Jingu 6 and the modern cultivar Changsheng 13. Three irrigation regimes (rainfed, pre‑sowing supplemental irrigation, and full growth‑stage irrigation) and two fertilizer levels (high and low) were implemented. Phenotypic traits, photosynthetic parameters, dry matter accumulation and translocation, photosynthate content, and yield were measured. Multivariate statistical analysis was performed to reveal the intrinsic factors responsible for yield differences between the varieties under varying water and fertilizer conditions. The results indicated that the traditional cultivar exhibited low yield potential but high stability, with minimal inter‑annual variation and low sensitivity to water and fertilizer inputs. Under rainfed conditions, its yield decreased by 16.98–39.18 %, which was maintained primarily through optimized photoprotective mechanisms and pre‑flowering dry matter allocation. In contrast, the modern cultivar showed high yield potential but poor stability, with yield increases ranging from 39.09 % to 272.42 % under conditions of high water and high fertilizer inputs. Its high yield depended on full growth‑stage irrigation, achieved mainly through improved plant architecture, enhanced photosynthetic efficiency, and strengthened source‑sink coordination. Therefore, traditional cultivars are suitable for rainfed dryland agriculture, whereas modern cultivars require reliable irrigation. Future breeding strategies should integrate the water‑saving and stress‑tolerance traits of traditional cultivars with the high‑yield potential of modern cultivars to develop water‑efficient and high‑yielding hybrids, which is crucial for building a climate‑resilient foxtail millet production system.
{"title":"Effects of irrigation and fertilization on the yield of traditional and modern foxtail millet varieties","authors":"Ke Ma , Zheng Jia , Xinya Wen , Fu Chen","doi":"10.1016/j.agwat.2026.110168","DOIUrl":"10.1016/j.agwat.2026.110168","url":null,"abstract":"<div><div>To elucidate the mechanisms underlying yield formation in response to water and fertilizer management in traditional and modern foxtail millet varieties, a field experiment was conducted using the traditional cultivar Jingu 6 and the modern cultivar Changsheng 13. Three irrigation regimes (rainfed, pre‑sowing supplemental irrigation, and full growth‑stage irrigation) and two fertilizer levels (high and low) were implemented. Phenotypic traits, photosynthetic parameters, dry matter accumulation and translocation, photosynthate content, and yield were measured. Multivariate statistical analysis was performed to reveal the intrinsic factors responsible for yield differences between the varieties under varying water and fertilizer conditions. The results indicated that the traditional cultivar exhibited low yield potential but high stability, with minimal inter‑annual variation and low sensitivity to water and fertilizer inputs. Under rainfed conditions, its yield decreased by 16.98–39.18 %, which was maintained primarily through optimized photoprotective mechanisms and pre‑flowering dry matter allocation. In contrast, the modern cultivar showed high yield potential but poor stability, with yield increases ranging from 39.09 % to 272.42 % under conditions of high water and high fertilizer inputs. Its high yield depended on full growth‑stage irrigation, achieved mainly through improved plant architecture, enhanced photosynthetic efficiency, and strengthened source‑sink coordination. Therefore, traditional cultivars are suitable for rainfed dryland agriculture, whereas modern cultivars require reliable irrigation. Future breeding strategies should integrate the water‑saving and stress‑tolerance traits of traditional cultivars with the high‑yield potential of modern cultivars to develop water‑efficient and high‑yielding hybrids, which is crucial for building a climate‑resilient foxtail millet production system.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"325 ","pages":"Article 110168"},"PeriodicalIF":6.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.agwat.2026.110167
Natasha L. Bell , Lauren M. Garcia Chance , William H.J. Strosnider , Daniel R. Hitchcock , John C. Majsztrik , Sarah A. White
The dynamics of sediment, phosphorus, and nitrogen were characterized in a treatment train consisting of a vegetated channel followed by two irrigation reservoirs (RR1 and RR2) at a retail/production plant nursery in South Carolina’s Piedmont Ecoregion. Water quality and hydrologic data (flow rates, rainfall, irrigation events) were collected to evaluate seasonal variation in treatment capacity. Nominal hydraulic retention times (HRTs) were generally longer in winter and shorter during active production months, reducing treatment capacity when irrigation flows and nutrient loads were highest. Irrigation dominated hydrology in summer and fall, while rainfall was the primary driver in winter and spring. Concentrations of total suspended solids (TSS), phosphate (PO₄-P), and dissolved inorganic nitrogen (DIN) declined sequentially from the vegetated channel through RR1 to RR2. Average removal rates in RR1 and RR2 were 189 ± 106 and 32.9 ± 18.7 g m⁻² d⁻¹ for TSS, 580 ± 310 and 58.7 ± 30.9 mg m⁻² d⁻¹ for DIN, and 51.3 ± 24.4 and 9.19 ± 6.17 mg m⁻² d⁻¹ for PO₄-P, respectively. Removal was highest in spring and summer and lowest in winter, when internal loading and reduced microbial activity likely limited performance. Despite its larger size, RR2 showed more variable treatment, suggesting that treatment efficiency is influenced more by hydraulic design and influent loading than basin size alone. These findings support the dual role of irrigation reservoirs in water quality improvement and water security, emphasizing the need for design strategies that optimize both treatment and storage functions.
{"title":"Water quality dynamics of irrigation reservoirs in series at a production plant nursery","authors":"Natasha L. Bell , Lauren M. Garcia Chance , William H.J. Strosnider , Daniel R. Hitchcock , John C. Majsztrik , Sarah A. White","doi":"10.1016/j.agwat.2026.110167","DOIUrl":"10.1016/j.agwat.2026.110167","url":null,"abstract":"<div><div>The dynamics of sediment, phosphorus, and nitrogen were characterized in a treatment train consisting of a vegetated channel followed by two irrigation reservoirs (RR1 and RR2) at a retail/production plant nursery in South Carolina’s Piedmont Ecoregion. Water quality and hydrologic data (flow rates, rainfall, irrigation events) were collected to evaluate seasonal variation in treatment capacity. Nominal hydraulic retention times (HRTs) were generally longer in winter and shorter during active production months, reducing treatment capacity when irrigation flows and nutrient loads were highest. Irrigation dominated hydrology in summer and fall, while rainfall was the primary driver in winter and spring. Concentrations of total suspended solids (TSS), phosphate (PO₄-P), and dissolved inorganic nitrogen (DIN) declined sequentially from the vegetated channel through RR1 to RR2. Average removal rates in RR1 and RR2 were 189 ± 106 and 32.9 ± 18.7 g m⁻² d⁻¹ for TSS, 580 ± 310 and 58.7 ± 30.9 mg m⁻² d⁻¹ for DIN, and 51.3 ± 24.4 and 9.19 ± 6.17 mg m⁻² d⁻¹ for PO₄-P, respectively. Removal was highest in spring and summer and lowest in winter, when internal loading and reduced microbial activity likely limited performance. Despite its larger size, RR2 showed more variable treatment, suggesting that treatment efficiency is influenced more by hydraulic design and influent loading than basin size alone. These findings support the dual role of irrigation reservoirs in water quality improvement and water security, emphasizing the need for design strategies that optimize both treatment and storage functions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"325 ","pages":"Article 110167"},"PeriodicalIF":6.5,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.agwat.2026.110152
Tong Heng , Yingjie Ma , Mingjiang Deng , Pengrui Ai , Zhenghu Ma , Jiawen Yu
Water scarcity constrains cotton production in arid regions, while film mulching and magnetized irrigation have demonstrated agronomic potential individually, their combined effects on rhizosphere dynamics and soil aeration remain unclear. A two-year field study (2023–2024) employed a two-factor completely randomized design with three replicate units (106 × 200 m) per treatment. The impacts of magnetized irrigation (0.3 T) and three film mulched widths (1.4, 2.05, and 4.4 m) were evaluated. Outcomes assessed included soil oxygen (O₂) and moisture dynamics, rhizosphere microbial, and irrigation water use efficiency (IWUE). Ultra-width mulched with magnetized irrigation (W3A) synergistically optimized soil O₂ (15.7–20.0 %) and enhanced moisture retention by 20.4 % compared to narrower mulches. This combination boosted microbial diversity and metabolic activity, increasing actinobacteria abundance (17.1–25.5 %) and elevating predicted carbohydrate metabolism pathway abundance based on 16S rRNA profiling (1961 ± 175 reads) by 1.5-fold versus non-magnetized treatments. W3A maximized root dry weight (35.9 g plant⁻¹) and seed cotton yield (7950 ± 364 kg hm⁻² in 2024), significantly outperforming non-magnetized (6600 ± 460 kg hm⁻²) while achieving IWUE of 1.74 ± 0.3 kg m⁻³. This study provides novel evidence that integrating magnetized irrigation with wide mulching enhances yield by creating a favorable soil water-oxygen environment, optimizing rhizosphere processes, and predicting microbial function, thereby offering a sustainable technological framework for arid agriculture.
{"title":"Ultra-width film mulched with magnetized irrigation boosts soil rhizosphere processes and cotton yield in arid regions","authors":"Tong Heng , Yingjie Ma , Mingjiang Deng , Pengrui Ai , Zhenghu Ma , Jiawen Yu","doi":"10.1016/j.agwat.2026.110152","DOIUrl":"10.1016/j.agwat.2026.110152","url":null,"abstract":"<div><div>Water scarcity constrains cotton production in arid regions, while film mulching and magnetized irrigation have demonstrated agronomic potential individually, their combined effects on rhizosphere dynamics and soil aeration remain unclear. A two-year field study (2023–2024) employed a two-factor completely randomized design with three replicate units (106 × 200 m) per treatment. The impacts of magnetized irrigation (0.3 T) and three film mulched widths (1.4, 2.05, and 4.4 m) were evaluated. Outcomes assessed included soil oxygen (O₂) and moisture dynamics, rhizosphere microbial, and irrigation water use efficiency (IWUE). Ultra-width mulched with magnetized irrigation (W3A) synergistically optimized soil O₂ (15.7–20.0 %) and enhanced moisture retention by 20.4 % compared to narrower mulches. This combination boosted microbial diversity and metabolic activity, increasing actinobacteria abundance (17.1–25.5 %) and elevating predicted carbohydrate metabolism pathway abundance based on 16S rRNA profiling (1961 ± 175 reads) by 1.5-fold versus non-magnetized treatments. W3A maximized root dry weight (35.9 g plant⁻¹) and seed cotton yield (7950 ± 364 kg hm⁻² in 2024), significantly outperforming non-magnetized (6600 ± 460 kg hm⁻²) while achieving IWUE of 1.74 ± 0.3 kg m⁻³. This study provides novel evidence that integrating magnetized irrigation with wide mulching enhances yield by creating a favorable soil water-oxygen environment, optimizing rhizosphere processes, and predicting microbial function, thereby offering a sustainable technological framework for arid agriculture.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"325 ","pages":"Article 110152"},"PeriodicalIF":6.5,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rapid warming and increasingly stringent water allocations in arid Northwest China have exacerbated the inherent trade-offs among maize yield, water productivity (WPc) and economic returns. This study employed a statistical modeling-optimization pipeline (PLS-GA) and a machine learning-optimization pipeline (RF-GA) to build a framework for better maize production in the Hexi Corridor of Gansu Province, an arid region in northwest China. The framework uses yield and actual evapotranspiration (ETc act) prediction as well as multi-objective optimization calculations. The optimal irrigation, nitrogen application, and planting density were proposed for five production-demand scenarios and the consequent impacts on yield, WPc, and economic returns under future climate change were systematically assessed. Results showed that random forest (RF) outperformed partial least squares (PLS) regression in capturing non-linear relationships (R2= 0.80 vs. 0.51) for yield simulation, whereas PLS provided superior explanatory power for individual factors. Findings also showed that all scenarios in the historical period could have benefited from an increase in planting density by at least 13.1 % and precision planting, leading to improvements in yield, WPc, and economic returns of at least 20.2 %, 31.4 %, and 15.1 %, respectively, alongside reductions in nitrogen application and irrigation of at least 13.7 % and 6.3 %, respectively. During mid-century (2041–2050), planting density and irrigation were projected to decline 0.4–1.1 % and 0.1–3.5 %, respectively, while nitrogen application to increase by 4.7–9.9 %. These adaptive measures lead to enhanced yield (5.8–6.2 %) and economic returns (13.8–14.7 %), albeit with a decline in WPc (13.1–14.5 %). This study presents an integrated maize management strategy that simultaneously optimizes grain yield, WPc, and economic returns in the Hexi Corridor, while also contributing a scalable methodological framework for advancing climate-resilient agricultural practices in arid, irrigated agroecosystems of Northwest China and comparable regions.
{"title":"Spatial distributed management strategies for maize high-yield and high-efficiency under different production-demand scenarios in Northwest China","authors":"Honghang Zhang , Chuanbin Liang , Wenxin Zhang , Manoj Shukla , Yu Fang , Shichao Chen , Taisheng Du","doi":"10.1016/j.agwat.2026.110166","DOIUrl":"10.1016/j.agwat.2026.110166","url":null,"abstract":"<div><div>Rapid warming and increasingly stringent water allocations in arid Northwest China have exacerbated the inherent trade-offs among maize yield, water productivity (WP<sub>c</sub>) and economic returns. This study employed a statistical modeling-optimization pipeline (PLS-GA) and a machine learning-optimization pipeline (RF-GA) to build a framework for better maize production in the Hexi Corridor of Gansu Province, an arid region in northwest China. The framework uses yield and actual evapotranspiration (ET<sub>c act</sub>) prediction as well as multi-objective optimization calculations. The optimal irrigation, nitrogen application, and planting density were proposed for five production-demand scenarios and the consequent impacts on yield, WP<sub>c</sub>, and economic returns under future climate change were systematically assessed. Results showed that random forest (RF) outperformed partial least squares (PLS) regression in capturing non-linear relationships (R<sup>2</sup>= 0.80 vs. 0.51) for yield simulation, whereas PLS provided superior explanatory power for individual factors. Findings also showed that all scenarios in the historical period could have benefited from an increase in planting density by at least 13.1 % and precision planting, leading to improvements in yield, WP<sub>c</sub>, and economic returns of at least 20.2 %, 31.4 %, and 15.1 %, respectively, alongside reductions in nitrogen application and irrigation of at least 13.7 % and 6.3 %, respectively. During mid-century (2041–2050), planting density and irrigation were projected to decline 0.4–1.1 % and 0.1–3.5 %, respectively, while nitrogen application to increase by 4.7–9.9 %. These adaptive measures lead to enhanced yield (5.8–6.2 %) and economic returns (13.8–14.7 %), albeit with a decline in WP<sub>c</sub> (13.1–14.5 %). This study presents an integrated maize management strategy that simultaneously optimizes grain yield, WP<sub>c</sub>, and economic returns in the Hexi Corridor, while also contributing a scalable methodological framework for advancing climate-resilient agricultural practices in arid, irrigated agroecosystems of Northwest China and comparable regions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"325 ","pages":"Article 110166"},"PeriodicalIF":6.5,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.agwat.2025.110110
Gilles Belaud, Maria do Rosário Cameira, Kevin Daudin, Crystele Leauthaud
{"title":"Editorial for the special issue on performance gaps of irrigation systems in Mediterranean agriculture","authors":"Gilles Belaud, Maria do Rosário Cameira, Kevin Daudin, Crystele Leauthaud","doi":"10.1016/j.agwat.2025.110110","DOIUrl":"10.1016/j.agwat.2025.110110","url":null,"abstract":"","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"324 ","pages":"Article 110110"},"PeriodicalIF":6.5,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.agwat.2026.110158
Naying Chai , Caixia Huang , Wei Liu , Meng Zhu , Yingqing Su , Xinjun Zheng , Shengchuan Tian , Zeyi Wang , Yuhui Chen , Xinwei Yin
Groundwater resources, both the quantity and quality, are vital to ecosystems and livelihoods in arid and semi-arid regions. Natural and anthropogenic activities greatly impact groundwater quality and stability, posing a potential threat to the ecological environment. Using hydrochemical diagramming and stable isotope tracing, the hydrochemical properties, recharge sources, transformation processes, and driving mechanisms of groundwater-surface water (rivers) were evaluated for the period between 2004 and 2024 in an oasis-desert system of northwest China. The groundwater and surface water (rivers) were slightly alkaline, with pH ranges of 6.90–8.40, and 6.94–7.84, respectively. Compared to 2004, groundwater electrical conductivity (4097.08 μS·cm−1) and total dissolved solids (2622.13 mg·L−1) increased in 2024, with salinization intensifying along groundwater flow paths. The surface water was mainly type, while the groundwater was , , and types. Abrupt changes in groundwater quality in oasis-desert systems were identified in 2009. The groundwater hydrochemical components were predominantly determined by cation exchange, rock weathering, and evaporation-crystallization. Mean values of () in shallow and deep groundwater were −12.12 ‰ (−82.86 ‰) and −11.84 ‰ (−83.59 ‰), respectively. A close hydraulic connection exists between shallow and deep groundwater, thus pushing the latter to transform into shallow groundwater. Finite-element simulations indicate that as pumping rates increase and freshwater recharge decreases, groundwater quality deteriorates. The salinization range has expanded across the oasis-desert system, with the maximum distance extension toward the freshwater side reaching 26.32–55.26 %. Thus, it is recommended to control pumping rates to monitor groundwater deterioration.
{"title":"Changes in groundwater quality driven by anthropogenic pumping in oasis-desert systems of Northwest China","authors":"Naying Chai , Caixia Huang , Wei Liu , Meng Zhu , Yingqing Su , Xinjun Zheng , Shengchuan Tian , Zeyi Wang , Yuhui Chen , Xinwei Yin","doi":"10.1016/j.agwat.2026.110158","DOIUrl":"10.1016/j.agwat.2026.110158","url":null,"abstract":"<div><div>Groundwater resources, both the quantity and quality, are vital to ecosystems and livelihoods in arid and semi-arid regions. Natural and anthropogenic activities greatly impact groundwater quality and stability, posing a potential threat to the ecological environment. Using hydrochemical diagramming and stable isotope tracing, the hydrochemical properties, recharge sources, transformation processes, and driving mechanisms of groundwater-surface water (rivers) were evaluated for the period between 2004 and 2024 in an oasis-desert system of northwest China. The groundwater and surface water (rivers) were slightly alkaline, with pH ranges of 6.90–8.40, and 6.94–7.84, respectively. Compared to 2004, groundwater electrical conductivity (4097.08 μS·cm<sup>−1</sup>) and total dissolved solids (2622.13 mg·L<sup>−1</sup>) increased in 2024, with salinization intensifying along groundwater flow paths. The surface water was mainly <span><math><mrow><mi>HC</mi><msubsup><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow><mrow><mo>−</mo></mrow></msubsup><msup><mrow><mo>−</mo><mi>Ca</mi></mrow><mrow><mn>2</mn><mo>+</mo></mrow></msup></mrow></math></span> type, while the groundwater was <span><math><mrow><msubsup><mrow><mi>SO</mi></mrow><mrow><mn>4</mn></mrow><mrow><mn>2</mn><mo>−</mo></mrow></msubsup><mo>−</mo><msup><mrow><mi>Na</mi></mrow><mrow><mo>+</mo></mrow></msup></mrow></math></span>, <span><math><mrow><msup><mrow><mi>Cl</mi></mrow><mrow><mo>−</mo></mrow></msup><mo>−</mo><msup><mrow><mi>Na</mi></mrow><mrow><mo>+</mo></mrow></msup></mrow></math></span>, and <span><math><mrow><msup><mrow><mi>Cl</mi></mrow><mrow><mo>−</mo></mrow></msup><mo>−</mo><msubsup><mrow><mi>SO</mi></mrow><mrow><mn>4</mn></mrow><mrow><mn>2</mn><mo>−</mo></mrow></msubsup><mo>−</mo><msup><mrow><mi>Ca</mi></mrow><mrow><mn>2</mn><mo>+</mo></mrow></msup><mo>−</mo><msup><mrow><mi>Mg</mi></mrow><mrow><mn>2</mn><mo>+</mo></mrow></msup></mrow></math></span> types. Abrupt changes in groundwater quality in oasis-desert systems were identified in 2009. The groundwater hydrochemical components were predominantly determined by cation exchange, rock weathering, and evaporation-crystallization. Mean values of <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>18</mn></mrow></msup><mi>O</mi></mrow></math></span> (<span><math><mrow><mi>δ</mi><mi>D</mi></mrow></math></span>) in shallow and deep groundwater were −12.12 ‰ (−82.86 ‰) and −11.84 ‰ (−83.59 ‰), respectively. A close hydraulic connection exists between shallow and deep groundwater, thus pushing the latter to transform into shallow groundwater. Finite-element simulations indicate that as pumping rates increase and freshwater recharge decreases, groundwater quality deteriorates. The salinization range has expanded across the oasis-desert system, with the maximum distance extension toward the freshwater side reaching 26.32–55.26 %. Thus, it is recommended to control pumping rates to monitor groundwater deterioration.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"325 ","pages":"Article 110158"},"PeriodicalIF":6.5,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}