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  • Open Access

    ARTICLE

    Effects of Mineral and Organic Fertilizers on Potato Yield, Soil Fertility, and Metal Accumulation in a Semi-Arid Field Trial

    Abd Al Karim Jaafar1, Suleiman Salim1, Dema Altheb1, Mukhtar Iderawumi Abdulraheem2,3, Andrés Rodríguez-Seijo4,5,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3945-3960, 2025, DOI:10.32604/phyton.2025.072520 - 29 December 2025

    Abstract The use of organic fertilizers can be an opportunity to increase crop yield and improve soil fertility in semi-arid regions, since soils from these regions usually have unfavourable conditions for plant growth. This research investigates the effects of organic and mineral fertilization on the impact of soil properties (pH, electrical conductivity and organic matter), availability of macro- (N, P and K), micro-nutrients (Fe, Mn, Cu and Zn) and the accumulation of heavy metals (Pb, Cd, Cr) in soil and potato tubers grown under semiarid conditions. A field experiment was conducted in Raqqa Governorate (Syria) using… More >

  • Open Access

    ARTICLE

    Identification of Air Cavities Using GPR under Different Soil Compaction Conditions Related to Sinkhole Formation

    Harith Iman Othman Kalam1, Ainon Nisa Othman1,*, Mohamad Hezri Razali1,*, Pauziyah Mohammad Salim1, Akhbaaruddin Abd Hamid2

    Revue Internationale de Géomatique, Vol.34, pp. 973-985, 2025, DOI:10.32604/RIG.2025.071917 - 24 December 2025

    Abstract Ground Penetrating Radar (GPR) is a widely used method that is non-destructive for underground or subsurface detection. It is used in various fields and has proved to be reliable and effective. This research focuses on detecting the presence of air cavities using GPR and analyzing the radargram output based on the compactness of soil and different frequencies. The compactness is used to illustrate the presence of cavities underground artificially. The research examines how variations in the compactness of soil affect the radargram response in showing the presence of cavities using different frequencies. Experimental results demonstrate More >

  • Open Access

    ARTICLE

    Deep Learning-Based Prediction of Seepage Flow in Soil-Like Porous Media

    Zhenzhen Shen1,2, Kang Yang2, Dengfeng Wei2, Quansheng Liang2, Zhenpeng Ma2, Hong Wang2, Keyu Wang2, Chunwei Zhang2, Xiaohu Yang3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2741-2760, 2025, DOI:10.32604/fdmp.2025.070395 - 01 December 2025

    Abstract The rapid prediction of seepage mass flow in soil is essential for understanding fluid transport in porous media. This study proposes a new method for fast prediction of soil seepage mass flow by combining mesoscopic modeling with deep learning. Porous media structures were generated using the Quartet Structure Generation Set (QSGS) method, and a mesoscopic-scale seepage calculation model was applied to compute flow rates. These results were then used to train a deep learning model for rapid prediction. The analysis shows that larger average pore diameters lead to higher internal flow velocities and mass flow More >

  • Open Access

    ARTICLE

    Predicting Soil Carbon Pools in Central Iran Using Random Forest: Drivers and Uncertainty Analysis

    Shohreh Moradpour1,#, Shuai Zhao2,#, Mojgan Entezari1, Shamsollah Ayoubi3,*, Seyed Roohollah Mousavi4

    Revue Internationale de Géomatique, Vol.34, pp. 809-829, 2025, DOI:10.32604/rig.2025.069538 - 06 November 2025

    Abstract Accurate spatial prediction of soil organic carbon (SOC) and soil inorganic carbon (SIC) is vital for land management decisions. This study targets SOC/SIC mapping challenges at the watershed scale in central Iran by addressing environmental heterogeneity through a random forest (RF) model combined with bootstrapping to assess prediction uncertainty. Thirty-eight environmental variables—categorized into climatic, soil physicochemical, topographic, geomorphic, and remote sensing (RS)-based factors—were considered. Variable importance analysis (via) and partial dependence plots (PDP) identified land use, RS indices, and topography as key predictors of SOC. For SIC, soil reflectance (Bands 5 and 7, ETM+), topography, More > Graphic Abstract

    Predicting Soil Carbon Pools in Central Iran Using Random Forest: Drivers and Uncertainty Analysis

  • Open Access

    PROCEEDINGS

    SEM-FEM Co-Simulation via Substructure Coordination for Train-Track-Tunnel-Soil System Dynamics

    Liu Pan, Lei Xu*, Bin Yan

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012221

    Abstract To address the issue of computational inefficiency arising from the large dimensionality of dynamic matrices in the train-track-tunnel-soil (TTTS) dynamic model, this study integrates the spectral element method (SEM) and finite element method (FEM) to develop a highly efficient dynamic model for the TTTS system. The model leverages the distinct vibration characteristics of the near- and far- field regions of TTTS system, employing different modelling approaches: the FEM, known for its superior shape adaptability and precise high-frequency dynamic response computation, is applied to the tunnel and near-field soil; the SEM, recognized for its rapid convergence… More >

  • Open Access

    ARTICLE

    Planting Years Drive Structural and Functional Shifts in the Rhizosphere Bacterial Microbiome of Zanthoxylum bungeanum

    De Zhang1,2, Yuan-Zu Ji1, Tong Zhao1, Jun-Ying Zhao1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2815-2838, 2025, DOI:10.32604/phyton.2025.069196 - 30 September 2025

    Abstract This study investigated the effects of planting duration (1, 5, 10 and 15 years) on soil properties, bacterial community diversity, and function in the rhizosphere of Zanthoxylum bungeanum. We employed Illumina high-throughput sequencing and PICRUSt2 functional prediction to analyze the structure and functional potential of rhizosphere soil bacterial communities. The Mantel test and redundancy analysis were used to identify physicochemical factors influencing bacterial community structure and function. The results indicated significant differences in rhizosphere soil physicochemical properties across planting years: the content of organic matter, alkaline hydrolyzable nitrogen in the soil, as well as the activity… More >

  • Open Access

    ARTICLE

    Species Number of Invasive Plants Negatively Regulates Carbon Contents, Enzyme Activities, and Bacterial Alpha Diversity in Soil

    Qi Chen1,2, Yizhuo Du1, Yingsheng Liu1, Yue Li1, Chuang Li1, Zhelun Xu1,3, Congyan Wang1,4,5,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2873-2891, 2025, DOI:10.32604/phyton.2025.065970 - 30 September 2025

    Abstract The leaves of multiple invasive plants can coexist and intermingle within the same environment. As species number of invasive plants increases, variations may occur in decomposition processes of invasive plants, soil nutrient contents, soil enzyme activities, and soil microbial community structure. Existing progress have predominantly focused on the ecological effects of one species of invasive plant compared to native species, with limited attention paid to the ecological effects of multiple invasive plants compared to one species of invasive plant. This study aimed to determine the differences in the effects of mono- and co-decomposition of four… More >

  • Open Access

    ARTICLE

    Soil Temperature and Moisture as Key Determinants of SPAD Values in Greenhouse-Grown Cucumber in Qatar

    Farhat Abbas1, Fahim Ullah Khan1,2,*, Salem Al-Naemi3, Awni Al-Otoom1, Ahmed T. Moustafa4, Khaled Shami1

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2911-2925, 2025, DOI:10.32604/phyton.2025.064239 - 30 September 2025

    Abstract This study aimed to explore the relationship between Soil-Plant Analysis Development (SPAD) values and key environmental factors in cucumber (Cucumis sativus L.) cultivation in a greenhouse. SPAD values, indicative of chlorophyll content, reflect plant health and productivity. The analysis revealed strong positive correlations between SPAD values and both indoor light intensity (ILI, r = 0.59, p < 0.001) and outdoor light intensity (OLI, r = 0.62, p < 0.001), suggesting that higher light intensities were associated with enhanced SPAD values. In contrast, significant negative correlations were found between SPAD values and soil temperature at 15–30 cm depth… More >

  • Open Access

    ARTICLE

    Citric Acid Optimizes Lead (Pb) Phytoextraction in Mung Bean (Vigna radiata (L.) Wilczek) by Regulating Nutrient Uptake and Photosynthesis

    Hafiza Saima Gul1,2,*, Mumtaz Hussain1, Tayyaba Sanaullah3, Habib-ur-Rehman Athar2, Ibrahim Al-Ashkar4, Muhammad Kamran5, Mohammed Antar6, Ayman El Sabagh7,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2893-2909, 2025, DOI:10.32604/phyton.2025.058816 - 30 September 2025

    Abstract The low efficiency of phytoextraction of lead (Pb) from agricultural fields poses a significant agricultural challenge. Organic chelating agents can influence Pb bioavailability in soil, affecting its uptake, transport, and toxicity in plants. This study aimed to assess the impact of citric acid (CA) and diethylenetriaminepentaacetic acid (DTPA) on chelate-assisted phytoextraction of Pb and its effect on growth and physiology of two cultivars (07001; 07002) of mung bean (Vigna radiata). The cultivars of mung bean were exposed to 60 mg·L−1 lead chloride (PbCl2) solution, with or without the addition of 300 mg·L−1 CA or 500 mg·L−1 DTPA, until… More >

  • Open Access

    REVIEW

    Regenerative Agriculture: A Sustainable Path for Boosting Plant and Soil Health

    Lobna Hajji-Hedfi1,2,*, Omaima Bargougui1,3, Abdelhak Rhouma1, Takwa Wannassi1, Amira Khlif1,3, Samar Dali1,3, Wafa Gamaoun4

    Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2255-2284, 2025, DOI:10.32604/phyton.2025.066951 - 29 August 2025

    Abstract Fungal plant diseases are infections caused by pathogenic fungi that affect crops, ornamental plants, and trees. Symptoms of these diseases can include leaf spots, fruit rot, root rot, and generalized growth retardation. Fungal diseases can result in decreased quality and quantity of crops, which can have a negative economic impact on farmers and producers. Moreover, these diseases can cause environmental damage. Indeed, fungal diseases can directly affect crops by reducing plant growth and yield, as well as altering their quality and nutritional value. Although effective, the use of many chemical products is often harmful to… More >

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