{"title":"Characteristics of water supply and demand in an agroforestry ecosystem under long-term continuous cropping assessed using the RZWQM2 model","authors":"Jing Zhang, Li Wang, Gong Cheng, Liangliang Jia","doi":"10.1016/j.agwat.2024.109245","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109245","url":null,"abstract":"Sustainable agricultural management is one of the important factors for ensuring food security. In recent years, many wheat and maize fields on the Loess Plateau of China have been transformed into apple orchards for better economic returns. However, the evapotranspiration of apple orchards is far greater than the precipitation supply, resulting in a reduction in water resources that are available for apple trees. In this study, an experiment was conducted from 2012–2015 on apple orchards of different ages and maize and wheat fields. The field experiment and the Root Zone Water Quality Model (RZWQM2) were combined (1) to explore the feasibility of RZWQM2 in simulating soil water conditions under the three cropping systems and (2) to simulate long-term soil water dynamics and plant water use in different cropping systems from 1981–2019. The results showed that RZWQM2 was able to simulate the growth of wheat and maize and the water use of the three land use patterns (R<ce:sup loc=\"post\">2</ce:sup>>0.70, −3.86 %<PBIAS<0.49 %, and D>0.89). Under the long-term continuous cropping system, the water consumption in the apple orchard was the highest, followed by that in the maize and wheat fields. The turning point of evapotranspiration in the apple orchard occurred at the 22nd year, but it decreased with increasing years of cultivation in the maize and wheat fields. Therefore, the planting of winter wheat after 22 years of apple planting should be considered to restore the soil water in the apple orchard to ensure the sustainable development of agriculture in this area.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"23 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841141","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}
Huijie Gu, Yanzhe Wang, Luca Peruzzo, Baoru Li, Yang Lu, Xiuwei Liu
{"title":"Linking winter wheat (Triticum aestivum L) root traits and root water uptake with electrical resistivity tomography","authors":"Huijie Gu, Yanzhe Wang, Luca Peruzzo, Baoru Li, Yang Lu, Xiuwei Liu","doi":"10.1016/j.agwat.2024.109247","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109247","url":null,"abstract":"Electrical resistivity tomography (ERT) is extensively employed for monitoring soil water content (SWC) in agricultural fields. However, the direct impacts of roots and the indirect effects of root water uptake on soil electrical resistivity (ER) have been largely neglected. Furthermore, the application of ERT technology for precise measurements of crop roots in various conditions (such as cultivars and irrigations regimes) remains unexplored. This study, therefore, utilized buried fresh root experiments, soil pots, and field-irrigation trials with different winter wheat (<ce:italic>Triticum aestivum</ce:italic> L.) cultivars to examine the influence of fresh crop roots on ER and assess ERT’s capability to characterize root uptake and the root system size. The findings from the buried root and pot experiments demonstrated that fresh root addition significantly reduced the ER of mixed soil (sand and loam are mixed in a ratio of 1:5) when the SWC was below 0.24 cm<ce:sup loc=\"post\">3</ce:sup> cm<ce:sup loc=\"post\">−3</ce:sup>. However, in loam soil, fresh root addition did not significantly decrease the ER. Pot experiments revealed strong positive correlations between root surface area and soil ER (R<ce:sup loc=\"post\">2</ce:sup> = 0.78, <ce:italic>P</ce:italic> < 0.001), suggesting that the increase in soil ER due to root absorption greatly outweighs the reduction caused by the roots themselves. Field experiments conducted during the grain-filling phase, when root size was stable, showed significant differences in soil ER changes (defined as the difference between two consecutive ER measurements) among winter wheat cultivars in both shallow (0–40 cm) and deep (40–100 cm) soil layers under various irrigation treatments. It was observed that wheat tends to utilize deep soil moisture in later growth stages, even with sufficient water conditions. Further analysis indicated that ER changes were positively correlated (R<ce:sup loc=\"post\">2</ce:sup> > 34, n = 50) with root surface area density (RSAD) in the 0–100 cm soil layer, particularly showing a stronger correlation with RSAD in the deep soil layer compared to the shallow layer under deficit irrigation (R<ce:sup loc=\"post\">2</ce:sup>=0.65 vs. R<ce:sup loc=\"post\">2</ce:sup>=0.23). In conclusion, ERT effectively characterizes the differences in root water uptake as well as root system size, especially focusing on deep roots among cultivars under various irrigation regimes.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"12 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841143","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}
{"title":"Treated wastewater reuse for recharge in agricultural fields: Retention dynamics and geochemical modeling of macronutrients in soils","authors":"Ajit Kumar, Basant Yadav","doi":"10.1016/j.agwat.2024.109250","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109250","url":null,"abstract":"Reusing treated wastewater (TWW) with high concentrations of macronutrients (nitrogen, phosphorus, and potassium) in Agricultural-Based Managed Aquifer Recharge (AgMAR) presents various challenges to soils, crops, water resources, microbes, public health, and economics. This study investigates the behavior of macronutrients in agricultural soil during TWW recharge through AgMAR, focusing on the effects of mineral formation during the recharge process. Batch experiments, kinetic studies, and pH edge experiments were conducted to understand the retention behaviors of ammonium (N<mml:math altimg=\"si0011.svg\"><mml:msubsup><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msubsup></mml:math>), phosphate (P<mml:math altimg=\"si0012.svg\"><mml:msubsup><mml:mrow><mml:mi>O</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mo>−</mml:mo><mml:mn>3</mml:mn></mml:mrow></mml:msubsup></mml:math>), and Potassium ion (K<ce:sup loc=\"post\">+</ce:sup>) in soils. Visual MINTEQ was employed to evaluate the saturation indices of nutrient dissolution, equilibrium, and precipitation conditions, using macronutrient concentrations from TWW and soil mineral data as inputs. The Freundlich isotherm model provided the best fit for the experimental results for ammonium and potassium, with correlation coefficients of 0.98 and 0.99, respectively. For phosphorus, the Temkin model showed the best fit, with a correlation coefficient of 0.96. Retention behaviors varied with pH: ammonium and potassium exhibited higher retention under basic conditions, while phosphate demonstrated greater retention in acidic conditions. The pseudo-second-order kinetic model best described the retention kinetics observed in the experiments. The saturation index (SI) results revealed that manganese hydrogen phosphate (MnHPO<ce:inf loc=\"post\">4</ce:inf>) fully precipitates and calcium phosphate Ca<ce:inf loc=\"post\">3</ce:inf>(PO<ce:inf loc=\"post\">4</ce:inf>)<ce:inf loc=\"post\">2</ce:inf> precipitates at pH levels above 8, while other nutrients remained in dissolution. This study highlights that nutrient retention from TWW effluent enhances nutrient availability for plants. However, the precipitation of certain forms, such as MnHPO₄ and Ca₃(PO₄)₂, may clog soil pores, restricting recharge pathways. These findings support the reuse of TWW as a sustainable method for supplementing agricultural nutrients and ensuring safe groundwater recharge, while also offering a safe disposal solution for wastewater treatment plants","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"53 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841140","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}
Soumya Koippully Manikandan, Dharshini Jenifer. A, Nisarga K. Gowda, Vaishakh Nair, Rami Al-Ruzouq, Mohamed Barakat A. Gibril, Fouad Lamghari, John Klironomos, Maryam Al Hmoudi, Mohamed Sheteiwy, Ali El-Keblawy
{"title":"Advancing date palm cultivation in the Arabian Peninsula and beyond: Addressing stress tolerance, genetic diversity, and sustainable practices","authors":"Soumya Koippully Manikandan, Dharshini Jenifer. A, Nisarga K. Gowda, Vaishakh Nair, Rami Al-Ruzouq, Mohamed Barakat A. Gibril, Fouad Lamghari, John Klironomos, Maryam Al Hmoudi, Mohamed Sheteiwy, Ali El-Keblawy","doi":"10.1016/j.agwat.2024.109242","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109242","url":null,"abstract":"Date palm (<ce:italic>Phoenix dactylifera</ce:italic> L.) cultivation in the Arabian Peninsula is crucial for regional agriculture and global markets. The Arabian Peninsula is dominant in date production, contributing approximately 34 % of the global output. Recent advancements in agricultural technologies have improved fruit yield and quality, expanding date palm cultivation globally. However, sustainability challenges persist due to various abiotic stresses, such as salinity, temperature extremes, drought, soil factors, and biotic stresses, including diseases and pests. This review examines key environmental factors affecting date palm cultivation, with a focus on soil salinity, water scarcity, and climate change-related stresses. The genetic diversity among date palm varieties is emphasized, highlighting the need for breeding programs aimed at improving stress tolerance and yield. Biotechnological advancements, such as genetic transformation and genome editing, are discussed for their potential to enhance crop resilience and productivity. Additionally, remote sensing techniques are explored for their application in precision agriculture, particularly in the mapping and monitoring of date palm health and soil conditions. The significant role of artificial intelligence in accurately mapping date palm trees using multi-platform remotely sensed data is also reviewed, illustrating its potential to enhance geospatial databases and support sustainable management practices. The review concludes with recommendations for optimizing cultivar selection and management strategies tailored to local conditions, emphasizing the need for ongoing research to advance date palm cultivation on a global scale.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"7 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841144","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}
{"title":"Model-assisted analysis on the response of tomato fruit growth to source-sink ratio regulated by water and nitrogen","authors":"Huiping Zhou, Jinliang Chen, Shaozhong Kang","doi":"10.1016/j.agwat.2024.109222","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109222","url":null,"abstract":"Water and nitrogen (N) are essential factors affecting the tomato plant-fruit system. However, little is known about to what extent water and N could regulate the water and carbon fluxes between the source-sink system, thus influencing fruit growth. In this study, the source-sink ratio (Rss) was proposed and then related to water and N supply by a WN-Jensen function, according to the experimental observations from tomatoes grown under various water and N conditions. A process-based model was applied to investigate the effects of water and N supply on fruit growth through modifying one of the major model inputs, the sucrose concentration in phloem solution (<ce:italic>C</ce:italic><ce:inf loc=\"post\"><ce:italic>p</ce:italic></ce:inf>), which was assumed to be proportional to Rss. The model was then assessed with the data sets from tomatoes grown under different water and N conditions. The results showed that, N deficit and water stress at fruit early /whole growth stage had significant limitation on plant and fruit growth, together with low stem water potential and water consumption. The dynamics of fruit growth were better simulated by the model when the effects of water and N on source-sink regulation were taken into consideration through modifying <ce:italic>C</ce:italic><ce:inf loc=\"post\"><ce:italic>p</ce:italic></ce:inf>. Compared to the original model simulation, MAE and RRMSE of fruit growth prediction decreased by up to 82.0 % and 79.9 %. The simulation efficiency of fruit fresh and dry weights was in the range of 77.4 %-96.4 % and 72.9 %-92.9 % by the modified model, respectively. Model-assisted analysis showed that water supply could be reduced by 11.9 %, 27.0 % and 41.1 % at fruit early, middle and late stage together with a reduction of 27.5 % N application (saving investment of 131 $/ha), while ensuring the same fruit growth by considering water and nitrogen regulation on source-sink relation.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"258 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841145","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}
Atinderpal Singh, Prakriti Bista, Sanjit K. Deb, Rajan Ghimire
{"title":"Simulating cover crops impacts on soil water and nitrogen dynamics and silage yield in the semi-arid Southwestern United States","authors":"Atinderpal Singh, Prakriti Bista, Sanjit K. Deb, Rajan Ghimire","doi":"10.1016/j.agwat.2024.109246","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109246","url":null,"abstract":"Efficient water management is critical to sustainable crop production in arid and semi-arid southwestern United States. A study was designed to evaluate the variations in soil water content (SWC) and nitrogen (N) dynamics within the 0–100 cm soil profile and forage maize (<ce:italic>Zea mays</ce:italic> L.) and sorghum (<ce:italic>Sorghum bicolor</ce:italic>) yields in winter cover crop integrated crop rotations in a semi-arid environment using a Root Zone Water Quality Model (RZQWM2). The cover cropping treatments were no cover crop (NCC), a mixture of grasses, brassicas, and legumes (GBL), a mixture of grasses and brassicas (GB), and a mixture of grasses and legumes (GL) under maize and sorghum silage production. The root mean square error (RMSE), index of agreement (d), and Nash-Sutcliffe model efficiency coefficient (NSE) were used to evaluate the effectiveness and efficiency of the model. The observations and simulations showed that the soil water content was greater and soil temperature was lower under cover crops than under NCC. Simulated N mineralization in maize and sorghum with cover cropping was 41.1–44.2 % and 41.9–42.3 % greater than NCC. Also, the model simulated that cover crops improved the plant N uptake by 15.4–17.3 % in maize and 13.6–14.7 % in sorghum compared to NCC. Simulated aboveground biomass yields of maize and sorghum were 8.11–24.2 % and 5.68–21.3 % greater with cover crops than with NCC. Integrating cover crops in maize and sorghum silage production systems can conserve soil water and improve N uptake, increasing silage yield under semi-arid irrigated conditions in the southwestern United States.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"92 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841142","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}
{"title":"A method to estimate the water storage of on-farm reservoirs by detecting slope gradients based on multi-spectral drone data","authors":"Yixuan Wang, Nana Yan, Weiwei Zhu, Zonghan Ma, Bingfang Wu","doi":"10.1016/j.agwat.2024.109241","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109241","url":null,"abstract":"Water storage dynamics in on-farm reservoirs (OFRs) are crucial for irrigation water allocation and utilization, ensuring agricultural development sustainability. Previous studies have primarily relied on the area-storage model to estimate reservoir water storage using meter-level remotely sensed data, which often falls short of accurately capturing the water storage dynamics of OFRs, especially in small OFRs with steep slopes. Hence, we proposed a method to estimate the water storage of OFRs in irrigation areas by integrating multispectral drone data, high-resolution remote sensing data, and ground observations. The water surface area was extracted from multispectral drone data using a Gaussian Mixture Model (GMM) and a threshold segmentation method. Slope gradients were then obtained by identifying the maximum potential slope zone (PSZ) and utilizing high-resolution drone-based Digital Surface Models (DSMs). The dam slopes of the constructed boundaries were automatically computed considering the significant decline of slope gradients. By combining the dam slopes of the OFRs with water depth observations, we estimated the construction depth (H). Subsequently, current water depth was obtained using drone-derived Digital Surface Models (DSMs), calculating the elevation difference between drone-derived OFRs and water surface boundary. Once the OFR morphology was fully constructed, the water storage was calculated based on area-storage and depth-storage methods using the 3D volume module in Arcpy. The derived water storage agrees well with in situ observation (R<ce:sup loc=\"post\">2</ce:sup>: 0.99) using slope gradients, reaching an overall accuracy of 95.2 %, with a root mean square error (RMSE) and a mean absolute error (MAE) of 2785 m<ce:sup loc=\"post\">3</ce:sup> and 1820 m<ce:sup loc=\"post\">3</ce:sup>, respectively. Notably, discernible fluctuations in water storage were observed during the main irrigation phases, highlighting the essential role of OFRs in promoting equitable water resource distribution and enhancing irrigation water management. This integrated approach offers a robust solution for monitoring and managing water storage dynamics in agricultural areas.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"48 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841146","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}
{"title":"Study on hierarchical regulation of crop irrigation threshold under severe drought conditions","authors":"Ruidan Gu, Huaxiang He, He Chen, Jiake Tian","doi":"10.1016/j.agwat.2024.109239","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109239","url":null,"abstract":"The increased frequency of severe drought events has increased the global water supply security risks, posing a substantial threat to food crop yields such as rice. Therefore, it is crucial to accurately regulate rice irrigation thresholds and optimize the coordination between rice irrigation and the water demand of other industries under severe drought conditions. This study employed the WOFOST model to simulate rice yield in Chuxiong Yi Autonomous Prefecture, Yunnan Province, under various irrigation scenarios, focusing on severe drought conditions. Optimal irrigation schemes and corresponding irrigation thresholds were determined for different yield reduction rates during 90 % and 95 % extremely dry years, utilizing predefined rates of irrigation contribution, yield reduction, and water productivity. The results are as follows. (1) During extremely dry years, irrigation during the jointing-booting, heading-flowering stages can boost the yield by up to 218 % and 270 % compared to the yield without irrigation, respectively. Based on irrigation water productivity, it can be advisable to avoid reducing irrigation during the jointing-booting stage and heading-flowering stage. (2) The irrigation threshold varied according to the severity of drought. (3) During three consecutive years of severe drought, rice yield exhibited an annual decreasing trend, aiming to minimize comprehensive economic losses and optimize water utilization efficiently. This study can provide decision support for the hierarchical regulation of crop irrigation thresholds under severe drought conditions.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"26 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841422","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}
Chris Seijger, Anton Urfels, Maria Christoforidou, Petra Hellegers, Gerlo Borghuis, Simon Langan, Gerardo van Halsema
{"title":"More food, but less land and water for nature: Why agricultural productivity gains did not materialize","authors":"Chris Seijger, Anton Urfels, Maria Christoforidou, Petra Hellegers, Gerlo Borghuis, Simon Langan, Gerardo van Halsema","doi":"10.1016/j.agwat.2024.109229","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109229","url":null,"abstract":"Realism about productivity gains in agriculture and water is critical to understand if the world can feed itself while protecting nature. We use government-reported data to review progress over 2000–2020 compared to projections for irrigated and rainfed agriculture and trade. Our results over the period 2000–2020 show that productivity gains largely did not materialize. Instead of consolidating cereal production and trade in favourable regions like North America, Europe and Russia, their arable land declined by 35 million hectares, while arable land expanded by 74 million hectares in Africa, Latin America and Eastern Asia. Likewise, water productivity gains did not materialize, as photosynthesis breakthroughs did not occur. Land productivity (yield) gains were projected to rise 21–61 %, making the observed increase in cereal yields of 31 % a slight one. This puts the world on the path of using steadily more land and water to produce food and feed, at the expense of nature. Solutions to veer off this path include reducing food demand (including dietary change), stabilising rainfed agriculture and broadening the crop genetic resources base.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"28 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142805362","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}
{"title":"Saline water concentration determines the reduction pathway for oat phosphorus absorption","authors":"Tong Liu, Lihua Xia, Xinliang Dong, Jintao Wang, Xiaojing Liu, Hongyong Sun, Fang Yunying","doi":"10.1016/j.agwat.2024.109236","DOIUrl":"https://doi.org/10.1016/j.agwat.2024.109236","url":null,"abstract":"Saline water irrigation offers a potential solution for sustaining crop yields under freshwater scarcity. However, it carries risks such as soil structure deterioration and soil organic matter decomposition, which could accelerate nutrient release. Elevated soil salinity further hampers crop growth and reduces nutrient uptake, particularly affecting phosphorus absorption. This study investigated the dynamics of soil pH, electrical conductivity, water content and available phosphorus throughout the entire growth period of oat treated with 1, 3, and 5 g L<ce:sup loc=\"post\">−1</ce:sup> saline water. It also examined the post-harvest responses of soil aggregates and their associated phosphorus, as well as the above-ground biomass and phosphorus content in various oat organs. The results showed that 1) Compared to the 1 g L<ce:sup loc=\"post\">−1</ce:sup>, 3 and 5 g L<ce:sup loc=\"post\">−1</ce:sup> treatments significantly increased soil electrical conductivity and water content throughout most of the growth period, with the 5 g L<ce:sup loc=\"post\">−1</ce:sup> treatment also significantly increasing soil available phosphorus content; 2) The 3 and 5 g L<ce:sup loc=\"post\">−1</ce:sup> treatments significantly reduced the soil macro-aggregate (>1 mm) proportion by 24.76 % and 36.36 % (p < 0.05), while increasing soil micro-aggregate (<0.053 mm) by 39.41 % and 71.59 % (p < 0.05), along with higher available phosphorus content in the < 0.053 mm fraction; 3) The above-ground phosphorus content in oats decreased by 30.27 % and 35.39 % under the 3 and 5 g L<ce:sup loc=\"post\">−1</ce:sup> treatments, respectively, compared to the 1 g L<ce:sup loc=\"post\">−1</ce:sup> treatment. Partial least squares structural equation modeling revealed the different reduction pathways: 3 g L<ce:sup loc=\"post\">−1</ce:sup> saline water inhibited crop phosphorus absorption by reducing phosphorus concentrations in stem and shell (Path coefficient [PC] = 0.796, p < 0.001), whereas 5 g L<ce:sup loc=\"post\">−1</ce:sup> reduced it by decreasing the stem and seed biomass (Path coefficient [PC] = 0.816, p < 0.001). This study reveals the effects of saline water irrigation on soil and crop phosphorus availability, providing valuable insights for optimizing saline water use and enhancing phosphorus availability in agricultural systems.","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"21 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142805366","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}