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Showing posts from October, 2025

Belowground Interactions and Implications for Nutrient Use Eco-Efficiency in Cropping Systems

Belowground interactions among plant roots, soil microorganisms, and soil biota play a pivotal role in determining the nutrient dynamics and productivity of cropping systems. These complex interactions regulate the acquisition, transformation, and cycling of essential nutrients such as nitrogen, phosphorus, and potassium, influencing the overall eco-efficiency of nutrient use. Root exudates stimulate beneficial microbial populations, enhancing nutrient mineralization and symbiotic associations like mycorrhizal and rhizobial relationships. Such synergies improve nutrient uptake efficiency and reduce dependency on external fertilizers. Moreover, diversified cropping systems, including intercropping and crop rotations, foster positive belowground complementarity by exploiting different soil layers and nutrient pools, minimizing losses through leaching and volatilization. Understanding and managing these subterranean processes through precision agriculture, biofertilizers, and soil health ...

The Influence of Environmental Heterogeneity on Fertilization-Driven Patterns of Distribution and Yield in Medicinal Plants

 Environmental heterogeneity plays a crucial role in shaping the spatial distribution, growth dynamics, and productivity of medicinal plants under different fertilization regimes. Variations in soil composition, nutrient availability, moisture, temperature, and microbial activity create diverse microenvironments that influence how plants absorb and utilize fertilizers. Fertilization strategies tailored to these heterogeneous conditions can significantly enhance secondary metabolite accumulation, biomass yield, and overall plant health. Research shows that site-specific nutrient management not only optimizes resource use efficiency but also sustains ecological balance and biodiversity within medicinal plant ecosystems. Understanding these interactions is essential for improving cultivation practices, ensuring consistent medicinal quality, and promoting sustainable production systems. Integrating environmental variability into fertilization planning thus represents a key approach tow...

Effects of Dry–Wet Cycles on Permeability and Shear Strength of Yuanmou Red Clay

  The Yuanmou red clay, widely distributed in the Yuanmou Basin of Yunnan Province, China, exhibits unique engineering characteristics that are highly sensitive to environmental moisture variations. Repeated dry–wet cycles significantly influence both its permeability and shear strength, leading to changes in the clay’s microstructure and mechanical behavior. During successive cycles, the soil particles undergo shrinkage and swelling, resulting in the development of microcracks and an increase in pore connectivity. Consequently, the permeability of Yuanmou red clay tends to increase with the number of dry–wet cycles, facilitating easier water infiltration. Conversely, the shear strength generally decreases as the structural integrity of the clay weakens due to particle rearrangement and loss of interparticle bonding. The cohesion component of shear strength reduces more noticeably than the internal friction angle, indicating that the degradation is mainly attributed to the destruct...

Overexpression of GmNAC03 in Soybean Enhances Salt Tolerance

 The overexpression of GmNAC03 , a stress-responsive NAC transcription factor, has been shown to significantly enhance salt tolerance in soybean (Glycine max) by regulating multiple physiological and molecular pathways. GmNAC03 plays a crucial role in maintaining ion homeostasis, reducing oxidative damage, and improving osmotic adjustment under saline conditions. Transgenic soybean lines overexpressing GmNAC03 exhibit increased chlorophyll content, enhanced root growth, and higher photosynthetic efficiency compared to wild-type plants when exposed to salt stress. Molecular analyses reveal that GmNAC03 upregulates the expression of key stress-related genes involved in ROS scavenging, proline biosynthesis, and Na⁺/K⁺ transport , contributing to improved cellular stability. This genetic enhancement not only strengthens the plant’s tolerance to high salinity but also sustains growth and yield in adverse environments. The findings underscore the potential of GmNAC03 as a promising gene...

Evaluation of Bacteriostatic and Antioxidant Screening of Secondary Metabolites of Endophytic Fungi in Lanzhou Lily

The study focuses on the comprehensive evaluation of bacteriostatic and antioxidant potentials of secondary metabolites produced by endophytic fungi isolated from the Lanzhou lily ( Lilium davidii var. unicolor ). Endophytic fungi, residing symbiotically within plant tissues, are recognized as a valuable source of bioactive compounds with pharmaceutical and agricultural relevance. The research investigates the antimicrobial efficiency of these fungal metabolites against various pathogenic bacteria using in vitro assays, highlighting their potential as natural alternatives to synthetic antibiotics. Additionally, antioxidant activity was assessed through DPPH and ABTS radical scavenging methods, revealing significant free radical inhibition capacities that suggest strong oxidative stress resistance. The findings indicate that the endophytic fungi from Lanzhou lily harbor potent secondary metabolites capable of contributing to natural drug discovery, plant defense enhancement, and food ...

An Interpretable Attention Decision Forest Model for Surface Soil Moisture Retrieval

The study titled “An Interpretable Attention Decision Forest Model for Surface Soil Moisture Retrieval” introduces a novel hybrid framework that combines the strengths of attention mechanisms with decision forest algorithms to enhance the accuracy and transparency of soil moisture estimation. This model leverages multi-source remote sensing data, such as microwave and optical satellite imagery, to capture the complex nonlinear relationships between soil, vegetation, and climatic parameters. By integrating an interpretable attention layer, the model can highlight the most influential features contributing to moisture variability, thereby improving both prediction reliability and explainability. Compared to traditional machine learning models, the proposed approach demonstrates superior generalization performance and robustness under diverse environmental conditions. The interpretable structure also aids researchers and policymakers in understanding regional hydrological dynamics, promo...

Global Food and Nutrition Security under Changing Climates

  Global food and nutrition security face unprecedented challenges due to the impacts of climate change. Rising temperatures, shifting rainfall patterns, extreme weather events, and soil degradation threaten agricultural productivity and food supply chains worldwide. These changes not only reduce crop yields and livestock health but also affect the nutritional quality of food, leading to increased risks of hunger and malnutrition, particularly in vulnerable regions. To achieve sustainable food systems, there is an urgent need for climate-resilient agricultural practices, diversification of crops, improved water management, and the adoption of innovative technologies such as precision farming and biotechnology. Strengthening global cooperation, supporting smallholder farmers, and promoting equitable food distribution are essential to ensuring that every individual has access to sufficient, safe, and nutritious food in a warming world. #GlobalFoodSecurity #Nutrition #ClimateChange #...

Machine Learning Models for Predicting Surfactant-Enhanced Oil Removal from Contaminated Soil

  The remediation of oil-contaminated soil is a critical environmental challenge, and surfactant-enhanced oil recovery (SEOR) has emerged as an effective method for improving hydrocarbon removal. Recent advances in machine learning (ML) have enabled more accurate predictions of SEOR efficiency, allowing researchers to optimize surfactant type, concentration, and soil conditions for maximum oil extraction. ML models, including decision trees, random forests, support vector machines, and neural networks, analyze complex interactions between soil properties, contaminant characteristics, and surfactant behavior. By leveraging historical data and experimental results, these models can forecast removal rates under various scenarios, reducing the need for costly and time-consuming laboratory trials. The integration of ML in SEOR not only enhances remediation performance but also contributes to sustainable soil management by minimizing chemical usage and environmental impact. Hashtags: #...

Study on soil pressure of loose soil in cohesive soil tunnel considering soil arch effect

  The study on soil pressure of loose soil in cohesive soil tunnels considering the soil arch effect focuses on understanding how stress is redistributed around underground openings. In mixed ground conditions, where loose soil is embedded within cohesive strata, the natural formation of soil arches significantly influences lateral and vertical load transfer. By analyzing how arch-shaped stress paths reduce the direct pressure on tunnel supports, researchers can better predict deformation, optimize lining design, and improve the safety of underground structures. The interaction between material properties, overburden depth, and tunnel geometry plays a crucial role in determining the extent and efficiency of the soil arch effect in mitigating soil pressure. Hashtags: #SoilPressure #SoilArchEffect #CohesiveSoil #TunnelEngineering #GeotechnicalResearch #UndergroundConstruction #StressDistribution #SoilMechanics #GroundStability #TunnelSafety Visit : https://soilscientists.org/ ...

Characterization of nutrient leaching of non-amended and amended bioretention cells

  Bioretention cells play a vital role in urban stormwater management, but their efficiency in retaining nutrients depends heavily on the use of soil amendments. In non-amended bioretention systems, nutrient leaching—particularly nitrogen and phosphorus—can be substantial due to limited adsorption capacity and rapid percolation through the soil matrix. This often results in the unintended release of nutrients into underlying groundwater or nearby water bodies, contributing to eutrophication risks. Conversely, amended cells, incorporating materials such as biochar, compost, zeolite, or iron-rich substrates, enhance nutrient retention through improved cation exchange capacity, increased organic matter, and chemical binding mechanisms. These amendments not only reduce leachate concentrations but also support microbial processes that aid in nutrient transformation and immobilization. Evaluating the nutrient profiles, leachate volume, and long-term retention performance of amended versu...

Optimizing Geothermal Energy Pile Layout to Reduce Ground Temperature Fluctuations

  Designing an efficient layout for geothermal energy piles is crucial to maintaining thermal stability in the surrounding soil. By strategically spacing the piles and optimizing their depth and orientation, engineers can reduce thermal interference between adjacent piles and prevent excessive ground temperature variations. Incorporating thermal conductivity data, soil stratification, and seasonal heat exchange demand into the layout planning ensures that the system performs efficiently over long periods. Advanced modeling and simulation tools help predict heat transfer patterns and guide the placement of piles to balance energy extraction with subsurface temperature conservation. Moreover, hybrid configurations—such as alternating active and passive piles or integrating thermal breaks—can further reduce cumulative heating or cooling effects. This approach not only enhances system performance but also protects groundwater ecosystems and maintains structural integrity. Through data-...