农林科学最新文献

{"title":"Long-Term Application of No-Tillage-Induced Greater Risk of Poor Topsoil Aeration Along a European Pedoclimatic Gradient","authors":"Loraine ten Damme,&nbsp;Marta Goberna,&nbsp;Sara Sánchez-Moreno,&nbsp;Mansonia Pulido-Moncada,&nbsp;Laurent Philippot,&nbsp;Mart Ros,&nbsp;Luca Bragazza,&nbsp;Sara Hallin,&nbsp;Dalia Feiziene,&nbsp;Lars Juhl Munkholm","doi":"10.1111/ejss.70081","DOIUrl":"https://doi.org/10.1111/ejss.70081","url":null,"abstract":"<p>This paper assesses the effect of long-term contrasting tillage practices on topsoil structural characteristics critical for nitrous oxide (N₂O) emissions and carbon sequestration across a pedoclimatic gradient. The hypotheses tested are that: (i) aeration is greater in the topsoil of ploughed (to 0.20–0.30 m depth) than in no-till soils and (ii) the effect of tillage practice on soil functionality depends on the context, and thus varies between sites with different pedoclimatic conditions. We evaluated the topsoil characteristics of seven long-term tillage experiments, spread along a 2600-km transect in Europe. A total of 576 soil cores (100-cm³) were sampled from 0 to 0.10 and 0.10 to 0.20 m depths in mouldboard-ploughed and no-tillage treatments after harvest. The soil water content at −30, −60, and −100 hPa matric potential was measured as well as air permeability (<i>k</i>_<i>a</i>) and relative gas diffusivity (<i>D</i>_<i>s</i><i>/D</i>_o) at −100 hPa, from which soil bulk and gas transport characteristics were derived. Despite large variations in the characteristics among sites, tillage did significantly affect the characteristics across sites. The degree of compactness was less and total pore volume was greater in the ploughed than in the no-till treatments. Still, thresholds indicating suitable conditions for root growth were largely met under both practices. The ploughed soils showed vertical stratification, with a better aeration of the 0–0.10 m soil layer compared to the 0.10–0.20 m layer. No differences were observed between the ploughed 0.10–0.20 m and no-till layers, which were attributed to soil settlement after ploughing. While the <i>D</i>_s<i>/D</i>_o at 0.10–0.20 m depth was favourable for promoting N₂O emissions, the water-filled pore space was below suggested thresholds. Impacts of tillage on soil structural and functional characteristics were both significant and generalisable but also deviated locally. For example, <i>D</i>_<i>s</i><i>/D</i>_<i>o</i> and <i>k</i>_<i>a</i> generally increased with the air-filled pore volume (<i>ε</i>_<i>a</i>), yet sites with greater <i>ε</i>_<i>a</i> did not necessarily have higher <i>D</i>_s<i>/D</i>_o and <i>k</i>_a. Existing models explaining <i>D</i>_s<i>/D</i>_o and <i>k</i>_<i>a</i> with <i>ε</i>_<i>a</i> were fitted to the measured data and performed best when both depths and tillage practices were assessed altogether. Despite the limited differences at −100 hPa, anoxic conditions may in reality prevail for a longer period under no-till than ploughing.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejss.70081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Hematological Profile of Naturally Infected Long-Tailed Macaques (Macaca fascicularis) With Plasmodium Inui in Ex Situ Captivity Prior to Ex Vivo Cultivation","authors":"Risqa Novita,&nbsp;Agik Suprayogi,&nbsp;Andria Agusta,&nbsp;Arifin Budiman Nugraha,&nbsp;Huda Shalahudin Darusman","doi":"10.1111/jmp.70011","DOIUrl":"https://doi.org/10.1111/jmp.70011","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Anemia, characterized by low hemoglobin, is a key malaria indicator. Malaria in non-human primates (NHPs) is often asymptomatic, requiring laboratory tests and microscopy for diagnosis. Hematological profiles are crucial for understanding NHP clinical conditions and supporting ex vivo <i>Plasmodium</i> culture for antimalarial testing. This study examines hematological changes in <i>Macaca fascicularis</i> naturally infected with <i>Plasmodium inui</i> and provides hematocrit guidelines for ex vivo culture.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Ten <i>M. fascicularis</i> were diagnosed with <i>Plasmodium inui</i> in 2023 and subsequently re-screened in this study through microscopic and molecular analyses. Two monkeys (M4, M10) with the highest parasitemia and one negative control (M6) were analyzed. Hematological, albumin, and glucose levels were measured.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>M4 and M10 showed 34.5% and 30.2% hematocrit values, with hemoglobin levels of 10.5 and 8.6 g/dL. M10 exhibited anemia and thrombocytopenia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>M10 showed hematological signs of malaria, while all macaques exhibited microcytic hypochromic anemia. High hematocrit levels are recommended for ex vivo culture.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16439,"journal":{"name":"Journal of Medical Primatology","volume":"54 2","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization design of a double planet carrier planetary gear train transplanting mechanism based on an MBD–DEM simulation of potted plant movement","authors":"Xingxiao Ma ,&nbsp;Chennan Yu ,&nbsp;Lihui Wang ,&nbsp;Xiaowei Zhang ,&nbsp;Jianneng Chen ,&nbsp;Xiong Zhao","doi":"10.1016/j.compag.2025.110141","DOIUrl":"10.1016/j.compag.2025.110141","url":null,"abstract":"<div><div>To design a simple and efficient flower transplanting mechanism, a thorough analysis of the potted plant cultivation process was conducted, and methods for designing the mechanism based on the posture constraints during the seedling retrieval and planting phases were investigated. A multidegree-of-freedom-driven virtual end-effector system was constructed. On the basis of the MBD-DEM analysis of the planting process for potted plants, a comparative analysis was conducted on the planting effects of the ordinary shovel, V-shaped shovel blades, and the bionic shovel under the same motion parameters. The bionic shovel was chosen as the structural form of the end-effector. Through parameter simulation optimization analysis of four factors, namely, the attitude angle of the end effector at the entry point into the soil and at the deepest planting point, the length of the hole, and the lateral planting distance, a set of motion parameters for the end effector was subsequently determined. This set of motion parameters was then translated into kinematic parameters for mechanism design; specifically, the length of the hole was 40 mm, the planting depth was 55 mm, the attitude angles of the seedling needle fixed at the entry point into the soil and at the deepest planting point were <span><math><mrow><mn>130</mn><mo>°</mo></mrow></math></span> and <span><math><mrow><mn>82</mn><mo>°</mo></mrow></math></span>, respectively, and the lateral planting distance was 8.6 mm. These parameters serve as the basis for the mechanism design posture. On the basis of the characteristics of a single-row two-stage noncircular gear transmission set, a design method for the double planetary gear train transplanting mechanism was proposed to address mixed postures. This method involves variables such as the rotation angle of the sun gear, the rotation angle of the middle gear, the length of each rack and the initial installation angle of each rack. The objective is to minimize the deviation between the actual position and the target position of the end-effector while ensuring the transmission performance of the noncircular gearset. The motion parameters obtained from the simulation results were converted into kinematic parameters for mechanism design, completing the design of the flower transplanting mechanism. A potted plant cultivation test bench was constructed, and potted plant cultivation experiments were conducted. The average planting rate reached 85.94 %, validating the effectiveness of the planting motion analysis results based on virtual simulation technology. These results demonstrate the practicality of the designed flower transplanting mechanism.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"233 ","pages":"Article 110141"},"PeriodicalIF":7.7,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527559","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":"Sustained superiority of biochar over straw for enhancing soil biological-phosphorus via the mediation of phoD-harboring bacteria in subtropical Moso bamboo forests","authors":"Zhenhui Jiang ,&nbsp;Tony Vancov ,&nbsp;Yunying Fang ,&nbsp;Caixian Tang ,&nbsp;Wenyi Zhang ,&nbsp;Mouliang Xiao ,&nbsp;Xinzhang Song ,&nbsp;Jiashu Zhou ,&nbsp;Tida Ge ,&nbsp;Yanjiang Cai ,&nbsp;Bing Yu ,&nbsp;Jason C. White ,&nbsp;Yongfu Li","doi":"10.1016/j.foreco.2025.122606","DOIUrl":"10.1016/j.foreco.2025.122606","url":null,"abstract":"<div><div>Straw and biochar are commonly used to enhance soil organic carbon pools and improve soil quality in subtropical Moso bamboo forests. However, their effects on soil biological-phosphorus (P) remain unclear, even though P limitation is common in these forests. This study investigates the impact of these amendments on soil biological-P through a two-year trial with three treatments: control, straw, and biochar addition in a Moso bamboo forest. We measured soil biological-P fractions, including enzyme-, citrate-, CaCl₂-, and HCl-extractable P, along with the activities of alkaline phosphatase, and the abundance and community structures of <em>pho</em>D-harboring bacteria at 3, 12, and 24 months post-treatment. Results showed that both straw and biochar increased the four biological-P fractions by 7.0–134.6 % and 14.4–157.7 %, respectively. Straw addition resulted in a rapid increase in the first principal component of the four biological-P fractions (biological-P_PC1, which represented a composite index of all fractions), with a 291.8 % enhancement initially. However, this effect declined over time, showing a decrease of 113.3 % at 12 months and 25.0 % at 24 months. In contrast, biochar led to a sustained improvement in the biological-P_PC1, with increases ranging from 157.3 % to 184.6 % over the two-year period. Positive correlations were found between the abundance of <em>pho</em>D-harboring bacteria and biological-P_PC1, as well as between <em>pho</em>D abundance and alkaline phosphatase activity, indicating that these bacteria are key in regulating biological-P. Furthermore, dominant <em>pho</em>D-harboring bacterial genera (e.g., <em>Bradyrhizobium</em>, <em>Cupriavidus</em>, and <em>Pseudomonas</em>) primarily governed the regulation of biological-P, rather than rare genera. Overall, this study highlights the potential of straw and biochar as organic amendments for enhancing soil biological-P dynamics. Biochar shows promise for long-term improvements in soil biological-P. These findings contribute to our understanding of soil nutrient dynamics and inform sustainable management practices in Moso bamboo forests.</div></div>","PeriodicalId":12350,"journal":{"name":"Forest Ecology and Management","volume":"584 ","pages":"Article 122606"},"PeriodicalIF":3.7,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of an Economic and Portable Ohmic Heater Using RSM and ANN Statistical Models and Validating Its Performance for Preserving Nourished Moringa Leaves","authors":"Aparajita Priyadarshini,&nbsp;Kalpana Rayaguru,&nbsp;Sonali Das,&nbsp;Soumya Ranjan Purohit,&nbsp;Vasudha Sharma,&nbsp;Sourav Chakraborty,&nbsp;Achyuta Kumar Biswal,&nbsp;Pramila Kumari Misra","doi":"10.1111/jfpe.70061","DOIUrl":"https://doi.org/10.1111/jfpe.70061","url":null,"abstract":"<div>\u0000 \u0000 <p>Ohmic heating is a thermal method of preserving food that uses electric current to produce high-quality food products with minimum sensory, nutritional, and structural changes. In this study, we developed an affordable and portable ohmic heater by statistically modeling its volumetric heating profile. We evaluated the performance by blanching <i>Moringa oleifera</i> (Moringa) leaves, a beneficial tree with significant nutritional and medicinal properties in its various parts. The fabricated heater functioned with a 60 Hz frequency and an AC electric source for the voltage supply. Five digital thermometers recorded the uniform temperature at different positions of the ohmic chamber every 30 s for 180 s, and the temperature profile was modeled using two statistical models, namely, the response surface method in Design Expert 7.0 and an artificial neural network in MATLAB 15.0 software. Uniform volumetric heating was confirmed empirically at the combination of four voltage gradients (10, 15, 20, and 25 V/cm) with three sodium salt concentrations (0.5%, 1.0%, and 1.5%) as food probes. The predicted heating parameters from statistical models were then employed to blanch Moringa leaves for extended storage. The nutritional properties of ohmic-blanched Moringa leaves were compared with the fresh and steam-blanched samples. The ohmic-blanched leaves were found to retain nutrients substantially higher compared to the steam-blanched leaves. The carbohydrate, protein, ascorbic acid, carotenoid, phenol, flavonoid, and iron content in ohmic-blanched leaves were found to be 14.6 ± 1.67 g/100 g, 6.3 ± 0.2 g/100 g, 135.07 ± 1.35 mg/100 g, 95.43 ± 1.4 mg/g, 37 ± 1 mg GAE/g, 28.03 ± 1.64 mg QE/g, and 15.1 ± 0.26 mg/g, respectively. Further, the carbohydrate, flavonoid, and iron content were higher in the ohmic-blanched sample than in the fresh leaves. Overall, our findings indicate that small-scale industries and homemakers could use the ohmic heater we fabricated to effectively preserve Moringa leaves, particularly food materials, retaining their nutritional values.</p>\u0000 </div>","PeriodicalId":15932,"journal":{"name":"Journal of Food Process Engineering","volume":"48 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-driven time series analysis for predicting strawberry weekly yields integrating fruit monitoring and weather data for optimized harvest planning","authors":"Shiyu Liu ,&nbsp;Yiannis Ampatzidis ,&nbsp;Congliang Zhou ,&nbsp;Won Suk Lee","doi":"10.1016/j.compag.2025.110212","DOIUrl":"10.1016/j.compag.2025.110212","url":null,"abstract":"<div><div>Strawberries, as an indeterminate crop, produce fruit multiple times per season, making fruit monitoring and wave-specific yield prediction essential for optimizing harvest planning. This study developed an AI-driven approach to predict next week’s yield using real-time plant image data collected by a machine vision system and environmental data. YOLOv8n was employed to count flowers, immature fruit, and mature fruit per plant, with manual counts used to evaluate the system’s accuracy. The YOLOv8n-based data, combined with weather features, were used to train several AI models for yield prediction. These models included traditional time series machine learning approaches, such as Multiple Linear Regression (MLR) with time lag features, Vector Autoregression (VAR), Gradient Boosting Machines (GBM), Random Forest, and deep learning time-series models, including Long Short-Term Memory (LSTM) and Temporal Convolutional Networks (TCN). Recursive Feature Elimination (RFE) was employed to identify the most relevant features. The performance of these models was evaluated across three strawberry varieties: Sensation, Brilliance, and Medallion. Results showed that MLR outperformed other models for Sensation and Brilliance, with R² values of 0.633 and 0.908, respectively. For Medallion, GBM achieved the best performance with an R² score of 0.848. LSTM, which outperformed TCN, achieved R² scores of 0.522 (Sensation), 0.839 (Brilliance), and 0.740 (Medallion). This AI-driven system automates yield forecasting, reducing labor costs and enabling more efficient harvest planning. The study highlights the potential of combining machine vision and predictive analytics for precise, scalable yield prediction, offering valuable insights for proactive farm management and supply chain optimization.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"233 ","pages":"Article 110212"},"PeriodicalIF":7.7,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527560","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":"The dynamics of bacterial communities during leaf decomposition of various species combinations in riparian forest buffers in China","authors":"Zhangting Chen ,&nbsp;Muhammad Arif","doi":"10.1016/j.foreco.2025.122607","DOIUrl":"10.1016/j.foreco.2025.122607","url":null,"abstract":"<div><div>Leaf litter decomposition determines nutrient cycling and soil formation in forests, driven largely by bacterial community composition and diversity. However, the roles of leaf types and altitude in shaping bacterial communities and leaf decomposition remain unclear in riparian forest buffers within karst river systems. This study investigated bacterial community composition across various leaf types (broad-leaved: <em>Salix matsudana</em> Koidz; pine-leaved: <em>Taxodium distichum</em> (Linn.) Rich., <em>Taxodium ascendens</em> Brongn.) and altitudes to clarify their roles in decomposition. Leaf samples, including single-species and mixed-species types, were collected at altitudes of 60 m, 110 m, and 800 m. High-throughput 16S rRNA gene sequencing was used to identify bacterial communities at the phylum and genus levels. Bacterial richness and diversity were assessed using alpha diversity indices (Chao1, Shannon, and Simpson). Leaf chemical properties were analyzed to determine their relationships with bacterial community structure and decomposition rates. Results showed significant differences in bacterial richness, diversity, and phylogenetic diversity across leaf types and altitudes. Mixed-species samples exhibited greater bacterial diversity than single-species samples, suggesting that substrate heterogeneity enhances bacterial abundance and functionality. <em>Bacteroidetes</em> were the dominant decomposers due to their ability to degrade complex polymers like lignin. Redundancy analysis revealed that leaf chemical characteristics strongly influence bacterial community structure and decomposition. Environmental factors in conjunction with altitude also shape bacterial composition. This study emphasizes the complex interactions between bacterial diversity, substrate quality, and environmental factors during decomposition. Understanding these dynamics provides the basis for predicting nutrient cycling and forest ecosystem functioning.</div></div>","PeriodicalId":12350,"journal":{"name":"Forest Ecology and Management","volume":"584 ","pages":"Article 122607"},"PeriodicalIF":3.7,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tree age estimation across the U.S. using forest inventory and analysis database","authors":"Jiaming Lu ,&nbsp;Chengquan Huang ,&nbsp;Karen Schleeweis ,&nbsp;Zhenhua Zou ,&nbsp;Weishu Gong","doi":"10.1016/j.foreco.2025.122603","DOIUrl":"10.1016/j.foreco.2025.122603","url":null,"abstract":"<div><div>Tree age information is crucial for a range of environmental, scientific, and conservation-related purposes. It helps in understanding and managing forest resources effectively and sustainably. This study presents an approach to estimate tree age across diverse U.S. forested ecosystems using field inventory and climate datasets. The age-size relationship modeling framework incorporates species-specific and environmental variables, enabling its application across various regions. Model R² values range from 0.51 to 0.87 and relative RMSEs (using the mean as the denominator) ranging from 0.14 to 0.49. These models have higher accuracies and are applicable over larger areas than existing studies. The developed tree age dataset reveals marked differences in tree age distribution between Eastern and Western U.S. forests, attributed to historical land use, disturbance, climatic variations, and forest management practices. In the East, forests exhibit a younger age structure due to historical deforestation and subsequent reforestation, while Western forests show an older age structure, influenced by diverse environmental conditions and less human disturbance. By deriving individual tree ages for all the trees surveyed in the United States Forest Inventory and Analysis Program, the approach increases by more than 20 times the number of tally trees in the FIA database that have age data over what is currently. The curated dataset emerges as a crucial resource for forest management and conservation, enhancing our ability to estimate forest carbon sequestration accurately. The tree age dataset is available at https://zenodo.org/records/14775738.</div></div>","PeriodicalId":12350,"journal":{"name":"Forest Ecology and Management","volume":"584 ","pages":"Article 122603"},"PeriodicalIF":3.7,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-luminescent dual-ligand metal-organic framework based electrochemiluminescence probes for organophosphorus pesticides determination","authors":"Zheng Shen, Rui Xu, Guangxian Wang, Haifang Wang, Deyan Xu, JingJing Liu, Guanjie Wang, Yemin Guo, Xia Sun","doi":"10.1016/j.foodchem.2025.143679","DOIUrl":"https://doi.org/10.1016/j.foodchem.2025.143679","url":null,"abstract":"In this study, a signal amplification strategy was developed, which tris (2, 2′-bipyridyl) ruthenium (II) (Ru(bpy)₃²⁺) was incorporated as a guest molecule into the preparation system of lanthanide-based metal-organic framework (MOF). This strategy relied on strong electrostatic interactions and coordination competition to influence the growth process of the MOF, resulting in the firm immobilization of Ru(bpy)₃²⁺ within the MOF structure. The spatial confinement effect of the MOF effectively improved the efficiency of electron transfer in the electrochemiluminescence (ECL) reaction. The constructed ECL aptasensor using this MOF exhibited excellent performance, with limits of detection (LODs) for four organophosphorus pesticides (OPs), phorate, profenofos, isocarbophos and omethoate, as low as 0.0482 ng/mL, 0.0093 ng/mL, 0.0085 ng/mL, and 0.0893 ng/mL, respectively. This work has paved the way for a clever strategy of immobilizing Ru(bpy)₃²⁺ molecules and amplifying signals, expanding the application of dual-ligand MOF, which provides valuable insights for future biosensor design.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"37 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528253","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":"Improving the simulation of maize growth using WRF-Crop model based on data assimilation and local maize characteristics","authors":"Lun Bao ,&nbsp;Lingxue Yu ,&nbsp;Entao Yu ,&nbsp;Rongping Li ,&nbsp;Zhongquan Cai ,&nbsp;Jiaxin Yu ,&nbsp;Xuan Li","doi":"10.1016/j.agrformet.2025.110478","DOIUrl":"10.1016/j.agrformet.2025.110478","url":null,"abstract":"<div><div>Global climate change presents a significant challenge to the sustainable development goal of eradicating hunger. Accurate assessment or projection of crop yields is crucial for ensuring food security at both global and regional levels in a changing environment. However, traditional crop models may introduce significant uncertainties due to lack of the intensified feedbacks between crop vegetation and climate systems. In this study, we coupled dynamic crop model (Noah-MP-Crop) with the Weather Research and Forecasting (WRF) model (WRF-Crop) based on data assimilation and local maize characteristics to simulate dynamic maize growth and subsequent yield at Jilin Province, China. We utilized in-site phenological observation data to refine the model's cumulative growing degree days (GDDs), and employed leaf mass assimilation to enhance the accuracy of crop phenology cycles. Our findings suggest that refining the model's GDDs thresholds and incorporating data assimilation leads to better alignment with MODIS-observed Leaf area index (LAI), evapotranspiration (ET), and gross primary productivity (GPP), with a reduction in the mean absolute error of 41.2 %, 14.1 %, and 27.5 %, respectively. The in-site eddy covariance flux observation data on soil moisture (layer 1 R = 0.9) and GPP (R = 0.82) also support our results. With the improvement of the maize growth cycles, the adjusted WRF-Crop model exhibited significantly improved accuracy in simulating maize yield, averaging 10,140 kg/ha in Jilin Province. This represents an approximate 9.26 % increase in accuracy compared to the default model configuration. Therefore, the dynamic crop-coupled WRF-Crop model showcases substantial potential for regional crop yield estimation and predictions, featuring dynamic downscaling capabilities through the incorporation of interactions between crops and the atmosphere.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"365 ","pages":"Article 110478"},"PeriodicalIF":5.6,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529526","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}