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  • Open Access

    ARTICLE

    Enhancing Canola Yield and Photosynthesis under Water Stress with Hydrogel Polymers

    Elham A. Badr1, Gehan Sh. Bakhoum1, Mervat Sh. Sadak2, Ibrahim Al-Ashkar3, Mohammad Sohidul Islam4, Ayman El Sabagh5,6,*, Magdi T. Abdelhamid2,7,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1623-1645, 2024, DOI:10.32604/phyton.2024.054453

    Abstract While Egypt’s canola production per unit area has recently grown, productivity remains low, necessitating increased productivity. Hydrogels are water-absorbent polymer compounds that can optimize irrigation schedules by increasing the soil’s ability to retain water. Accordingly, two field experiments were conducted to examine hydrogel application to sandy soil on canola growth, biochemical aspects, yield, yield traits, and nutritional quality of yielded seeds grown under water deficit stress conditions. The experiments were conducted by arranging a split-plot layout in a randomized complete block design (RCBD) with three times replications of each treatment. While water stress at 75%… More >

  • Open Access

    ARTICLE

    Comparative Analysis of the Essential Oil of the Underground Organs of Valeriana spp. from Different Countries

    Ain Raal1, Valeriia Kokitko2, Vira Odyntsova2, Anne Orav3, Oleh Koshovyi1,4,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1365-1382, 2024, DOI:10.32604/phyton.2024.053754

    Abstract Valeriana officinalis L. is a plant from the Caprifoliaceae family, which is widely distributed in various parts of the world, especially in Europe and Asia. All species of Valeriana are distinguished by their ability to synthesize essential oil, which has a powerful effect on the physiological and mental aspects of the human body. The aim was to study the qualitative and quantitative composition of essential oil from valerian roots, collected in different countries, using the gas chromatography method, and to establish marker compounds for valerian species. 13 samples of commercial roots with rhizomes of V. officinalis from nine… More >

  • Open Access

    ARTICLE

    Comparative Chemical Research in Essential Oils from Six Apiaceae Species Growing in the Northern Region of Vietnam

    Nguyen Quang Hung1,2,#, Nguyen Thanh Tung3,#, Nguyen Phuong Hanh1, Chu Thi Thu Ha1, Nguyen Thi Nhung3, Nguyen Thai An3, Vu Xuan Giang3, Luong Van Hao4, Oleh Koshovyi5, Ain Raal5,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1677-1687, 2024, DOI:10.32604/phyton.2024.053624

    Abstract Our study aimed to compare the essential oil (EO) concentration and composition of several Apiaceae species growing in the Northern region of Vietnam. The yields of EOs from materials ranged from 0.03% (root EO of Angelica acutiloba and aerial parts EO of Heracleum bivittatum)−0.27% (leaf EO of Xyloselinum vietnamense). Gas chromatography-mass spectrometry (GC-MS) allowed the identification of 74 components in the EOs of six Apiaceae species, making up 94.4%–100.0% of the oils. In EO from Angelica acutiloba, (Z)-ligustilide accounted for an extremely large proportion (94.9%). EO of Angelica pubescens was dominated by six characteristic components including α-pinene (21.5%), β-phellandrene (18.1%), p-cymene… More >

  • Open Access

    ARTICLE

    Combining QTL Mapping and Multi-Omics Identify Candidate Genes for Nutritional Quality Traits during Grain Filling Stage in Maize

    Pengcheng Li1,2,#, Tianze Zhu1,#, Yunyun Wang1,2, Shuangyi Yin1, Xinjie Zhu1, Minggang Ji1, Wenye Rui1, Houmiao Wang1, Zefeng Yang1,2,*, Chenwu Xu1,2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1441-1453, 2024, DOI:10.32604/phyton.2024.052219

    Abstract The nutritional composition and overall quality of maize kernels are largely determined by the key chemical components: protein, oil, and starch. Nevertheless, the genetic basis underlying these nutritional quality traits during grain filling remains poorly understood. In this study, the concentrations of protein, oil, and starch were studied in 204 recombinant inbred lines resulting from a cross between DH1M and T877 at four different stages post-pollination. All the traits exhibited considerable phenotypic variation. During the grain-filling stage, the levels of protein and starch content generally increased, whereas oil content decreased, with significant changes observed between… More >

  • Open Access

    ARTICLE

    Physiological and Biochemical Responses of Perennial Ryegrass Mixed Planting with Legumes under Heavy Metal Pollution

    Yi Xi, Li Zhang, Yanhong Xu, Wei Cheng, Chao Chen*

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1749-1765, 2024, DOI:10.32604/phyton.2024.051793

    Abstract In artificially controlled pot experiments, perennial ryegrass was mixed with other leguminous plants (white clover and alfalfa) and treated with lead, zinc and cadmium (337 mg·kg, 648 mg·kg, and 9 mg·kg, respectively) to simulate compound pollution conditions. The results showed that the concentrations of heavy metals, transport factors, and bioconcentration factors in mixed planting of ryegrass decreased compared with those in monoculture. Regardless of whether heavy metal pollution was introduced, mixed planting increased the aboveground and underground biomasses of ryegrass. The different mixed planting treatments had no significant impact on the chlorophyll concentration of ryegrass.… More >

  • Open Access

    ARTICLE

    Physical-Rheological Properties and Performances of Rejuvenated (Styrene-Butadiene-Styrene) Asphalt with Polymerized-MDI and Aromatic Oil

    Ao Lu1, Ming Xiong1, Chen Chen1, Liangjiang Li1, Haibei Tan1, Xiong Xu2,3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1633-1646, 2024, DOI:10.32604/fdmp.2024.051010

    Abstract Traditional asphalt rejuvenators, like aromatic oil (AO), are known to be effective in improving the low-temperature properties and fatigue performances of aged SBS (styrene-butadiene-styrene) modified asphalt (SBSMA) binders and mixtures. However, these rejuvenators inevitably compromise their high-temperature properties and deformation resistances because they dilute asphalt binder but do not fix the damaged structures of aged SBS. In this study, a highly-active chemical called polymerized 4,4-diphenylmethane diisocyanate (PMDI) was used to assist the traditional AO asphalt rejuvenator. The physical and rheological characteristics of rejuvenated SBSMA binders and the moisture-induced damage and rut deformation performances of corresponding… More > Graphic Abstract

    Physical-Rheological Properties and Performances of Rejuvenated (Styrene-Butadiene-Styrene) Asphalt with Polymerized-MDI and Aromatic Oil

  • Open Access

    ARTICLE

    Numerical Simulation of Oil-Water Two-Phase Flow in Low Permeability Tight Reservoirs Based on Weighted Least Squares Meshless Method

    Xin Liu1,*, Kai Yan2, Bo Fang3, Xiaoyu Sun3, Daqiang Feng4, Li Yin5

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1539-1552, 2024, DOI:10.32604/fdmp.2024.047922

    Abstract In response to the complex characteristics of actual low-permeability tight reservoirs, this study develops a meshless-based numerical simulation method for oil-water two-phase flow in these reservoirs, considering complex boundary shapes. Utilizing radial basis function point interpolation, the method approximates shape functions for unknown functions within the nodal influence domain. The shape functions constructed by the aforementioned meshless interpolation method have δ-function properties, which facilitate the handling of essential aspects like the controlled bottom-hole flow pressure in horizontal wells. Moreover, the meshless method offers greater flexibility and freedom compared to grid cell discretization, making it simpler… More >

  • Open Access

    ARTICLE

    A Gasification Technology to Combine Oil Sludge with Coal–Water Slurry: CFD Analysis and Performance Determination

    Xulei Wu1, Hailong Yu1,*, Panrong Wu1, Chaoqian Wang1, Haiqun Chen1, Yunlan Sun1, He Zheng2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1481-1498, 2024, DOI:10.32604/fdmp.2024.047092

    Abstract The development of more environment-friendly ways to dispose of oil sludge is currently regarded as a hot topic. In this context, gasification technologies are generally seen as a promising way to combine oil sludge with coal–water slurry (CWS) and generate resourceful fuel. In this study, a novel five-nozzle gasifier reactor was analyzed by means of a CFD (Computational fluid dynamic) method. Among several influential factors, special attention was paid to the height-to-diameter ratio of the gasifier and the mixing ratio of oil sludge, which are known to have a significant impact on the flow field, More >

  • Open Access

    ARTICLE

    Optimized Design of Bio-Inspired Wind Turbine Blades

    Yuanjun Dai1,4,*, Dong Wang1, Xiongfei Liu2, Weimin Wu3

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1647-1664, 2024, DOI:10.32604/fdmp.2024.046158

    Abstract To enhance the aerodynamic performance of wind turbine blades, this study proposes the adoption of a bionic airfoil inspired by the aerodynamic shape of an eagle. Based on the blade element theory, a non-uniform extraction method of blade elements is employed for the optimization design of the considered wind turbine blades. Moreover, Computational Fluid Dynamics (CFD) is used to determine the aerodynamic performances of the eagle airfoil and a NACA2412 airfoil, thereby demonstrating the superior aerodynamic performance of the former. Finally, a mathematical model for optimizing the design of wind turbine blades is introduced and More >

  • Open Access

    ARTICLE

    Production Capacity Prediction Method of Shale Oil Based on Machine Learning Combination Model

    Qin Qian1, Mingjing Lu1,2,*, Anhai Zhong1, Feng Yang1, Wenjun He1, Min Li1

    Energy Engineering, Vol.121, No.8, pp. 2167-2190, 2024, DOI:10.32604/ee.2024.049430

    Abstract The production capacity of shale oil reservoirs after hydraulic fracturing is influenced by a complex interplay involving geological characteristics, engineering quality, and well conditions. These relationships, nonlinear in nature, pose challenges for accurate description through physical models. While field data provides insights into real-world effects, its limited volume and quality restrict its utility. Complementing this, numerical simulation models offer effective support. To harness the strengths of both data-driven and model-driven approaches, this study established a shale oil production capacity prediction model based on a machine learning combination model. Leveraging fracturing development data from 236 wells… More >

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