Agricultural Water Management最新文献

{"title":"Innovative fertilization strategies for in-situ pollution control and carbon negativity enhancement in agriculture","authors":"Ya-Zhen Huang,&nbsp;You-Yi Lee,&nbsp;Chihhao Fan","doi":"10.1016/j.agwat.2024.109270","DOIUrl":"10.1016/j.agwat.2024.109270","url":null,"abstract":"<div><div>Non-point source pollution resulting from agricultural fertilization may enter neighboring water bodies, negatively impacting the environmental water quality. Therefore, this study aims to evaluate the efficiency of innovative fertilization strategies for agricultural non-point source pollution control and explore their benefit for carbon negativity. The results show that organic fertilizers are more likely to be washed out by rainfall or irrigation due to their higher soluble component content. The treatments using bamboo biochar, microbial agents, or both significantly reduced the nitrogen concentrations in infiltration and surface runoff. The washed-away phosphate demonstrated a different trend because adding microbial agents, including phosphorus-solubilizing bacteria, converted fixed inorganic phosphorus in the soil into water-soluble phosphorus. In addition, the scouring and leaching in rainfall events mainly cause the farmland's nutrient loss after fertilizer application. The nutrient uptake by crops was increased by 15–30 %, and nutrient mass in infiltration and runoff waters was reduced by 5–10 %. By combining fertilizer reduction and innovative fertilization strategies, the crop yield remained similar to that with a full amount of fertilizer application. Over-dose application in fertilizer may not necessarily promote crop growth but may cause crop damage and fertilizer loss. The carbon negativity benefit of using innovative fertilization strategies was explored, and adding both microbial agents and bamboo biochar in half organic fertilization demonstrated the highest reduction (80.75 %) in carbon emission through synergistic interactions in the soil matrix. The innovative fertilization strategies employed in this study can (1) effectively reduce non-point source pollution from agricultural activities without impairing crops' overall growth and yield and (2) induce the synergistic effects in reducing nutrient loss, enhancing soil carbon sequestration, and mitigating greenhouse gas emissions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109270"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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 ,&nbsp;Huaxiang He ,&nbsp;He Chen ,&nbsp;Jiake Tian","doi":"10.1016/j.agwat.2024.109239","DOIUrl":"10.1016/j.agwat.2024.109239","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109239"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implications of water management on methane emissions and grain yield in paddy rice: A case study under subtropical conditions in Brazil using the CSM-CERES-Rice model","authors":"Evandro H. Figueiredo Moura da Silva ,&nbsp;Gerrit Hoogenboom ,&nbsp;Kenneth J. Boote ,&nbsp;Santiago Vianna Cuadra ,&nbsp;Cheryl H. Porter ,&nbsp;Walkyria Bueno Scivittaro ,&nbsp;Silvio Steinmetz ,&nbsp;Carlos E. Pellegrino Cerri","doi":"10.1016/j.agwat.2024.109234","DOIUrl":"10.1016/j.agwat.2024.109234","url":null,"abstract":"<div><div>Rice (<em>Oryza sativa</em> L.) is a staple food and plays a crucial role in the food security of many countries. However, rice cultivation is associated with significant methane (CH₄) emissions, contributing to overall greenhouse gas emissions and, thus, climate change. In this context, process-based crop models are useful tools for understanding and predicting the complex interactions between crop production, environmental factors, and sustainability. The objective of this study was to evaluate the performance of the Cropping System Model (CSM)-CERES-Rice model and DSSAT-GHG module to predict daily methane emissions and rice grain yield for different irrigation practices in a subtropical environment. The study employed a comprehensive approach, including measurements of daily CH₄ emissions, phenological stages, final aboveground biomass, and grain yield for rice cultivars BRS Pampa, BRS Pampeira, A705, and XP113 conducted over four consecutive crop seasons (2019–2023) and two irrigation systems: continuous flooding (CF) or alternate wetting and drying (AWD) in Capão do Leão, RS, Brazil. We followed a four-step methodology involving initial calibration of cultivar parameters, sensitivity analysis (soil-related parameters associated with CH₄ emissions), final cultivar parameters calibration, and long-term simulation analysis. Based on the sensitivity analysis and comparison to observed emissions, modifications were made to soil-related parameters such as soil buffer regeneration after drainage events (BRAD) and the fraction of soil water-filled porosity above which methane production occurs (WFPS_thresh) to enhance the accuracy of methane production. Optimal parameter combinations (WFPS_thresh = 70 %, BRAD = 0.070 d⁻¹) were selected based on a comparative analysis, enabling CH₄ simulations under non-flooded conditions. The predictive capability of the CERES-Rice model exhibited an average bias for grain yield of 485 kg ha⁻¹ under CF and 592 kg ha⁻¹ under AWD conditions. The results showed that the GHG module of DSSAT, after BRAD and WFPS_thresh parameter adjustments, was able to simulate daily CH₄ emissions in paddy rice with a very good agreement (average index of agreement (D-Statistic) of 0.87 for CF and 0.70 for AWD). Following the model evaluation, long-term simulations for different irrigation practices revealed the impact on grain yield, cumulative methane emissions, and seasonal applied irrigation. The highest crop water-methane productivity (CWMP = 52 %) was observed under sprinkler irrigation at 50 % soil water depletion, identifying it as the most sustainable option in this subtropical environment. Thus, the CSM-CERES-Rice model combined with the DSSAT-GHG module proved to be a potential tool for agricultural and environmental management of rice fields under subtropical conditions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109234"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Appropriate nitrogen application under ridge-furrow plastic film mulching planting optimizes spring maize growth characteristics by improving soil quality in the Loess Plateau of China","authors":"Fan Zhang ,&nbsp;Mengru Chen ,&nbsp;Yingying Xing,&nbsp;Xiukang Wang","doi":"10.1016/j.agwat.2024.109259","DOIUrl":"10.1016/j.agwat.2024.109259","url":null,"abstract":"<div><div>Appropriate nitrogen application under ridge-furrow plastic film mulching planting (RF) is essential for improving crop growth characteristics and soil quality. Nevertheless, research on the effects of nitrogen application under RF on these factors, along with the underlying mechanisms, remains limited. A three-year spring maize field experiment was conducted using two planting methods (flat planting (FP) and RF) and four nitrogen application levels (0 (N0), 135 (N1), 180 (N2), and 225 (N3) kg ha⁻¹) to investigate the effects on crop growth, yield, yield components, evapotranspiration (ET), water productivity (WP), nitrogen partial fertilizer productivity (NPFP), economic benefits, soil NO₃-N residue at harvest, soil properties, and soil quality index (SQI). The results revealed that planting method and nitrogen application significantly affected crop growth, yield, yield components, ET, WP, NPFP, economic benefits, urease activity (SUA), phosphatase activity (SPA), catalase activity (SCA), sucrase activity (SSA), NO₃-N residue, and SQI. Compared with FP, RF significantly improved crop growth, yield, economic benefits, ET, WP, NPFP, available potassium (AK), SUA, SPA, SCA, SSA, and SQI, and significantly reduced soil NO₃-N residue and loss at maturity. The optimal crop growth, yield, hundred-grain weight, ET, WP, economic benefits, available phosphorus (AP), AK, organic matter (SOM), SUA, SPA, SCA, and SSA were observed at the N2 level. Treatment RFN2 exhibited superior improvements in crop growth, yield, economic benefits, resource use efficiency, soil properties, and SQI, regardless of annual precipitation levels. Soil properties exhibited highly correlated with crop growth characteristics, among which AP, SPA, SCA, and SUA were identified as critical soil factors for monitoring crop growth, yield, and WP. Notably, alkali-hydrolyzable nitrogen (SAHC), ammonium nitrogen (SANC), SUA, and nitrate nitrogen (SNNC) were key soil factors for monitoring NPFP. Our study revealed the mechanism by which nitrogen application under RF could improve yield and efficiency by regulating SQI. Given the factors of crop growth, yield, yield compositions, resource utilization efficiency, economic benefits, and SQI, the application of 180 kg ha⁻¹ nitrogen under RF was recommended as a viable strategy for achieving high yield, high efficiency, and sustainable development of spring maize in the region. This research serves as a reference for the rational application of RF technology to improve farmland productivity and soil quality, thereby facilitating the sustainable development of the spring maize industry in China's Loess Plateau.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109259"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing water use efficiency and fruit quality in jujube cultivation: A review of advanced irrigation techniques and precision management strategies","authors":"Yingying Xing,&nbsp;Mengru Chen,&nbsp;Xiukang Wang","doi":"10.1016/j.agwat.2024.109243","DOIUrl":"10.1016/j.agwat.2024.109243","url":null,"abstract":"<div><div>Jujube trees play a crucial role in sustainable agriculture in China's water-scarce regions due to their exceptional drought resistance and adaptability to arid environments. However, there is an urgent need to enhance water use efficiency and improve fruit quality in jujube cultivation to meet the growing agricultural demands. This literature review explores current strategies for water utilization in jujube tree cultivation, focusing on advanced irrigation techniques and their effects on fruit yield and quality. The review systematically examines precise irrigation management practices tailored to the critical growth stages of jujube trees. Key findings indicate that the adoption of precise irrigation strategies, such as drip and micro-irrigation, minimizes water waste and effectively meets the specific water requirements of jujube trees. Innovative contributions highlighted in the review include the integration of advanced intelligent irrigation systems that utilize soil moisture monitoring, weather data analysis, and combined water-fertilizer management. These technologies enhance the automation and precision of irrigation practices, thereby reducing reliance on external water sources, improving soil moisture retention, decreasing erosion, and mitigating environmental pollution. The review underscores the importance of novel practices such as biopolymer-based fertilizers, the intelligent integration of water and fertilizers, and IoT-based frameworks, all of which significantly enhance water use efficiency and economic productivity in jujube cultivation. The integration of full ground mulching, strategic fertilization, advanced irrigation systems, and predictive modeling constitutes a critical approach to effective water resource management. In conclusion, optimizing water resource management through precise irrigation techniques and intelligent monitoring is essential for enhancing jujube yield, fruit quality, and economic benefits. The findings highlight the necessity of adopting advanced technologies and management practices that are specifically tailored to the physiological needs of jujube trees and the unique regional conditions. Future research should focus on developing more sophisticated irrigation technologies and intelligent management systems to promote sustainable practices, alleviate water scarcity, and minimize the environmental impact of jujube cultivation.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109243"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of various canopy resistance calculation methods in vineyard evapotranspiration simulation at daily scale in Northwest China","authors":"Jingying Zhang ,&nbsp;Dianyu Chen ,&nbsp;Xiaotao Hu ,&nbsp;Lucheng Qiu ,&nbsp;Shujian Wang ,&nbsp;Xuanrong Zhu ,&nbsp;La Zhuo ,&nbsp;Dongyan Zhang ,&nbsp;Linzhe Wu ,&nbsp;Linlin Zhang","doi":"10.1016/j.agwat.2024.109238","DOIUrl":"10.1016/j.agwat.2024.109238","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Evapotranspiration (&lt;em&gt;ET&lt;/em&gt;), as a key process in the water cycle and energy cycle, is closely related to the growth and yield of crops. As the basis of efficient irrigation decision, the accurate estimation of &lt;em&gt;ET&lt;/em&gt; is critical for agricultural management measures. The Penman-Monteith (PM) model is widely used to estimate &lt;em&gt;ET&lt;/em&gt;, for which the determination of canopy resistance (&lt;em&gt;r&lt;/em&gt;&lt;sub&gt;&lt;em&gt;c&lt;/em&gt;&lt;/sub&gt;) is crucial. Variant formulas have been developed to calculate &lt;em&gt;r&lt;/em&gt;&lt;sub&gt;&lt;em&gt;c&lt;/em&gt;&lt;/sub&gt;, making the selection of a module challenging. The suitability of methods of calculation of &lt;em&gt;r&lt;/em&gt;&lt;sub&gt;&lt;em&gt;c&lt;/em&gt;&lt;/sub&gt; largely affects the simulation performance of &lt;em&gt;ET&lt;/em&gt;. Here, the Jarvis (JA) model, the coupled surface resistance (CO) model, the Farias (FA) model, the Kelliher-Leuning (KL) model, the Katerji-Perrier (KP) model and the new coupling (N) model which considering interaction among different factors were used for &lt;em&gt;r&lt;/em&gt;&lt;sub&gt;&lt;em&gt;c&lt;/em&gt;&lt;/sub&gt; calculation in a vineyard in Northwest China. The selected modules, with different theoretical basis, were embedded into the PM model for simulating the vineyard &lt;em&gt;ET&lt;/em&gt;. By comparison of 5-year (2018–2022) measured daily &lt;em&gt;ET&lt;/em&gt; with the Bowen ratio, a canopy resistance optimization method was developed. The model parameter optimization was based on the Bayesian method. The accuracy evaluation indicators included relative error (&lt;em&gt;M&lt;/em&gt;RE&lt;!--&gt; &lt;!--&gt;, %), coefficient of determination (&lt;em&gt;R&lt;/em&gt;&lt;sup&gt;&lt;em&gt;2&lt;/em&gt;&lt;/sup&gt;) and Wilmott consistency coefficient (&lt;em&gt;D&lt;/em&gt;). The results showed that JA, CO and FA models exhibited varying degrees of overestimation of the vineyard &lt;em&gt;ET&lt;/em&gt;; especially during the periods with low leaf area index (&lt;em&gt;LAI&lt;/em&gt; ≤ 1.0 m&lt;sup&gt;2&lt;/sup&gt;m&lt;sup&gt;−2&lt;/sup&gt;), with &lt;em&gt;M&lt;/em&gt;RE&lt;!--&gt; &lt;!--&gt; of up to 56.24 % (FA model). Then KL, KP and N models performed better overall, with error distribution curve peaks close to 0 at both low and high &lt;em&gt;LAI&lt;/em&gt; periods. The error distribution curves symmetry of the last three models was not only better than the first three, but also had a narrower error distribution range. The KP model had the highest simulation accuracy, with the highest &lt;em&gt;R&lt;/em&gt;&lt;sup&gt;&lt;em&gt;2&lt;/em&gt;&lt;/sup&gt; and &lt;em&gt;D&lt;/em&gt; (&lt;em&gt;R&lt;/em&gt;&lt;sup&gt;&lt;em&gt;2&lt;/em&gt;&lt;/sup&gt; = 0.83, &lt;em&gt;D&lt;/em&gt; = 0.90 for the calibration period and &lt;em&gt;R&lt;/em&gt;&lt;sup&gt;&lt;em&gt;2&lt;/em&gt;&lt;/sup&gt;=0.79, &lt;em&gt;D&lt;/em&gt;=0.89 for the validation period), and the lowest &lt;em&gt;M&lt;/em&gt;RE&lt;!--&gt; &lt;!--&gt; (21.72 % for calibration period and 19.81 % for validation period). It was therefore recommended to use the KP method to calculate &lt;em&gt;r&lt;/em&gt;&lt;sub&gt;&lt;em&gt;c&lt;/em&gt;&lt;/sub&gt; in the simulation of vineyard &lt;em&gt;ET&lt;/em&gt; in Northwest China. The results suggested that the selected method and degree of optimization &lt;em&gt;r&lt;/em&gt;&lt;sub&gt;&lt;em&gt;c&lt;/em&gt;&lt;/sub&gt; had a significant impact on simulation &lt;em&gt;ET&lt;/em&gt; model output. This is crucial for the development of efficient water-saving strategies for specific agricultural crops in s","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109238"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water–saving irrigation combined with N–loaded clinoptilolite enhances nutrient yield, and water productivity by improving rice root characteristics: A combined PCA–SEM analysis","authors":"Yang Sun ,&nbsp;Qi Wu ,&nbsp;Daocai Chi ,&nbsp;Hongyang Chen ,&nbsp;Suyun Zhu ,&nbsp;Qingliang Liu","doi":"10.1016/j.agwat.2024.109203","DOIUrl":"10.1016/j.agwat.2024.109203","url":null,"abstract":"<div><div>Nitrogen (N) –loaded clinoptilolite is renowned for its high–water retention and nutrient supplementation properties, which benefit crop growth. However, its combined effects with water–saving irrigation regime on N mineralization, root system characteristics, and nutrient yield, particularly their regulatory pathways, remain underexplored. This two–year split–plot experiment evaluated the impact of two irrigation regimes (I_CF: continuous flooding irrigation; I_AWD: alternate wet–dry irrigation) and two rates of N–loaded clinoptilolite (NZ₀: no N–loaded clinoptilolite; NZ₁₀: 10 t·ha^–1) on root characteristics, mineralized N, nutrient yield, and water productivity. We employed principal component analysis (PCA) and structural equation modeling (SEM) to analyze the interactions among the factors. The I_AWDNZ₁₀ treatment showed the greatest water–saving potential, increasing the irrigated area by 0.29–fold compared to I_CFNZ₀. N–loaded clinoptilolite under I_AWD increased root surface area by 12.6 %, average root diameter by 14.2 %, and root volume by 13.8 %. Additionally, I_AWD increased mineralized N by 22.4 %, while N–loaded clinoptilolite further boosted it by 34.7 %. Root characteristics (r = 0.78) were crucial mediators in the effect of N–loaded clinoptilolite on protein (r = 0.64) and amylose nutritional yield (r = 0.68). Water usage influenced protein (r = -0.93) and amylose nutritional water productivity (r =-0.67) indirectly via chalky rice rate (r =0.90). In summary, integrating N–loaded clinoptilolite with the I_AWD regime not only enhanced rice root characteristics and mineralized N but also led to substantial increases in nutrient yield and water productivity. These findings underscore the potential for N–loaded clinoptilolite to be adopted as a key component in sustainable agricultural practices, offering a pathway to optimize resource use, reduce environmental impact, and improve crop productivity in water–limited regions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109203"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142805363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deficit irrigation enhances yield and water productivity of apples by inhibiting excessive vegetative growth and improving photosynthetic performance","authors":"Shenglin Wen ,&nbsp;Ningbo Cui ,&nbsp;Yaosheng Wang ,&nbsp;Daozhi Gong ,&nbsp;Liwen Xing ,&nbsp;Zongjun Wu ,&nbsp;Yixuan Zhang ,&nbsp;Zhihui Wang","doi":"10.1016/j.agwat.2024.109220","DOIUrl":"10.1016/j.agwat.2024.109220","url":null,"abstract":"<div><div>Excessive irrigation in orchards can lead to wastage of water resources and instability or reduction in fruit yield. Therefore, this study aims to comprehensively explore the relationships among growth indicators, photosynthetic parameters, apple yield, and water productivity (WP) based on structural equation modeling (SEMD), and develop the appropriate irrigation management strategy for sustainable apple production. A two-year apple irrigation management experiment was carried out with 17 deficit drip irrigation (DDI) treatments, including a control treatment (CK, 100 % ET_c) and 4 water deficit degree (W15 %, 85 % ET_c; W30 %,70 % ET_c; W45 %, 55 % ET_c; W60 %, 40 % ET_c) during four growth stages: bud burst to leafing stage (I), flowering to fruit set stage (II), fruit expansion stage (III), and fruit maturation stage (IV). Results indicated that transpiration rate (T_r) was more sensitive to water deficit than net photosynthesis rate (P_n), leading to greater instantaneous water use efficiency (WUE_i). Compared to the CK, the W15 % DDI treatments at different growth stages slightly reduced P_n and significantly decreased T_r, thereby enhancing WUE_i by 14.5 %-14.9 %. W15 % DDI treatments during the early growth stage restrained excessive growth while enhancing fruit development. SEMD analysis revealed that LAI had a significant positive effect on ET with a standardized path coefficient of 0.312 (P &lt; 0.05) in 2021 and 0.498 (P &lt; 0.001) in 2022, and fruit volume had a significant positive effect on ET with a standardized path coefficient of 1.03 (P &lt; 0.001) in 2021 and 1.313 (P &lt; 0.001) in 2022. The stomatal conductance (g_s) was identified as the key factor influencing apple yield and WP using SEMD. The g_s had an extremely significant positive effect on apple yield, with a standardized path coefficient of 0.356 in 2022 (P &lt; 0.001). The indirect negative effect of leaf area index (LAI) on WP was mainly through its positive effect on water consumption (ET) and ET's subsequent negative effect on WP. Severe water deficits (W60 %) at stage III are inadvisable, as they may lead to apple yield losses exceeding 20 %. The I-W15 %, II-W15 %, II-W30 %, and IV-W15 % treatments synergistically improve both apple yield and WP, suggesting that these DDI treatments could be recommended for growers aiming to achieve sustainable apple production.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109220"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Change of crop structure intensified water supply-demand imbalance in China’s Black Soil Granary” [Agric. Water Manag. 306 (2024) 109199]","authors":"Ying Feng ,&nbsp;Ying Guo ,&nbsp;Yanjun Shen ,&nbsp;Guangxin Zhang ,&nbsp;Yanfang Wang ,&nbsp;Xiaolu Chen","doi":"10.1016/j.agwat.2024.109267","DOIUrl":"10.1016/j.agwat.2024.109267","url":null,"abstract":"","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109267"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Canopy humidity and irrigation regimes interactively affect rice physiology, grain filling and yield during grain filling period","authors":"Le Chen ,&nbsp;Xueyun Deng ,&nbsp;Hongxia Duan ,&nbsp;Xueming Tan ,&nbsp;Xiaobing Xie ,&nbsp;Xiaohua Pan ,&nbsp;Lin Guo ,&nbsp;Tao Luo ,&nbsp;Xinbiao Chen ,&nbsp;Hui Gao ,&nbsp;Haiyan Wei ,&nbsp;Hongcheng Zhang ,&nbsp;Yongjun Zeng","doi":"10.1016/j.agwat.2024.109143","DOIUrl":"10.1016/j.agwat.2024.109143","url":null,"abstract":"<div><div>Rice growth and yield performance are closely related to climate variables and soil water regimes. Therefore, in this study, normal humidity (NH) and high humidity (HH) treatments of rice canopy were performed and combined with continuous flooding (CF), alternate wetting and drying (AWD), and drought cultivation (DC). The changes in crop physiology were monitored in a 2-year artificial intelligence greenhouse experiment. Creating HH lowered the seed setting rate, grains per panicle and yield relative both under AWD and CF, but was rather beneficial under DC. The HH decreased the soil plant analysis development (SPAD) parameter and net photosynthetic rate while leaf surface temperature, antioxidant enzyme activity and malondialdehyde (MDA) level got increased. Additionally, HH increased the contents of abscisic acid (ABA), gibberellin (GA₃) and jasmonic acid (JA) and the activities of key starch synthase, increasing the grain filling rate while shortening the active filling duration. The rice yield of AWD treatment under HH condition was the highest, mainly because the net photosynthetic rate, pollen viability and key starch synthase activity were maintained at a higher level. The AWD measures can be adopted to maintain high rice yields under high humidity conditions, while yields can be improved by increasing canopy humidity under persistent drought conditions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"307 ","pages":"Article 109143"},"PeriodicalIF":5.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142936015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}