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  • Open Access


    Chemical Constituents of Pedicularis longiflora var. tubiformis (Orobanchaceae), a Common Hemiparasitic Medicinal Herb from the Qinghai Lake Basin, China

    Feng Liu1,2,3, Zilan Ma1,2,3, Marcos A. Caraballo-Ortiz4, Hui Zhang5, Xu Su1,2,3, Yuping Liu1,2,3,*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.011239

    Abstract Pedicularis longiflora var. tubiformis (Orobanchaceae) is an abundant parasitic herb mainly found in the Xiaopohu wetland of the Qinghai Lake Basin in Northwestern China. The species has an important local medicinal value, and in this study, we evaluated the chemical profile of its stems, leaves and seeds using mass spectrometry. Dried samples of stems, leaves and seeds were grinded, weighted, and used for a series of extractions with an ultrasonic device at room temperature. The chemical profiles for each tissue were determined using Gas Chromatography-Mass Spectrometry (GC-MS) and Liquid ChromatographyMass Spectrometry (LC-MS). Twenty-seven amino acids and organic acids were identified… More >

  • Open Access


    Grapevine Phenological Quantitative Trait SSR Genotyping Using High-Throughput HRM-PCR Analysis

    Murad Awad1, Photini V. Mylona2, Alexios N. Polidoros1,*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.011235

    Abstract Discrimination among grapevine varieties based on quantitative traits, such as flowering, veraison and ripening dates is crucial for variety selection in the context of climate change and in breeding programs. These traits are under complex genetic control for which 6 linked SSR loci (VVS2, VVIn16, VMC7G3, VrZAG29, VMC5G7, and VVIB23) have been identified. Using these markers in HRM-PCR analysis, we assessed genetic diversity among a large collection of 192 grapevine varieties. The grapevine germplasm used encompasses the majority of Greek vineyard with 181 varieties, 3 prominent foreign varieties and 11 varieties of Palestinian origin. The SSR markers used were highly… More >

  • Open Access


    Comparative Analyses and Phylogenetic Relationships between Cryptomeria fortunei and Related Species Based on Complete Chloroplast Genomes

    Yingting Zhang1,2,3, Junjie Yang1,2,3, Zhenhao Guo1,2,3, Jiaxing Mo1,2,3, Jiebing Cui1,2,3, Hailiang Hu1,2,3, Jin Xu1,2,3,*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.011211

    Abstract Cryptomeria fortunei (Chinese cedar) is a highly adaptable woody species and one of the main forest plantation trees in subtropical high-altitude areas in China. However, there are few studies on its chloroplast (cp) genome. In this study, the complete cp genome of C. fortunei was sequenced and evaluated via comparative analyses with those of related species (formerly the Taxodiaceae) in Cupressaceae. The C. fortunei cp genome was 131,580 bp in length, and the GC content of the whole genome was 35.38%. It lost one relevant large inverted repeat and contained 114 unique genes, including 82 protein-coding genes, 28 tRNAs and… More >

  • Open Access


    Characterization and Expression of Ammonium Transporter in Peach (Prunus persica) and Regulation Analysis in Response to External Ammonium Supply

    Meiling Tang1,2,#, Yuhe Li1,3,#, Yahui Chen1,4, Lei Han1,3, Hongxia Zhang1,3, Zhizhong Song1,3,4,*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.011184

    Abstract As the preferred nitrogen (N) source, ammonium (NH4+ ) contributes to plant growth and development and fruit quality. In plants, NH4+ uptake is facilitated by a family of NH4+ transporters (AMT). However, the molecular mechanisms and functional characteristics of the AMT genes in peach have not been mentioned yet. In this present study, excess NH4+ stress severely hindered shoot growth and root elongation, accompanied with reduced mineral accumulation, decreased leaf chlorophyll concentration, and stunned photosynthetic performance. In addition, we identified 14 putative AMT genes in peach (PpeAMT). Expression analysis showed that PpeAMT genes were differently expressed in peach leaves, stems… More >

  • Open Access


    2,4-D Hyper Accumulation Induced Cellular Responses of Azolla pinnata R. Br. to Sustain Herbicidal Stress

    Arnab Kumar De, Arijit Ghosh, Debabrata Dolui, Indraneel Saha, Malay Kumar Adak*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.010828

    Abstract In the present experiment with ongoing concentration (0 µM, 100 µM, 250 µM, 500 µM and 1000 µM) of 2,4-D, the responses of Azolla pinnata R.Br. was evaluated based on cellular functions. Initially, plants were significantly tolerated up to 1000 µM of 2,4-D with its survival. This was accompanied by a steady decline of indole acetic acid (IAA) concentration in tissues with 78.8% over the control. Membrane bound H+ -ATPase activity was over expressed within a range of 1.14 to 1.25 folds with activator (KCl) and decreased within a range of 57.3 to 74.6% in response to inhibitor (Vanadate) application.… More >

  • Open Access


    Changes of the Flowering Time of Trees in Spring by Climate Change in Seoul, South Korea

    Hyewon Kim1, Chanwoo Park2, Jong Hwan Lim2, Hye Woo Shin3,*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.010649

    Abstract Flowering onset has attracted much attention in ecological research as an important indicator of climate change. Generally, warmer temperatures advance flowering onset. The effect of climate warming on flowering onset is more pronounced in spring because the difference between atmospheric and water temperatures creates more rapid convection than in other seasons. We analyzed the correlation between 73 species of spring woody plants in Hongneung Arboretum in Seoul, South Korea and the spring minimum temperature and average precipitation over the past 50 years (1968–2018). The spring minimum temperature and average precipitation have increased over the past 50 years, resulting in the… More >

  • Open Access


    Effect of Data Augmentation of Renal Lesion Image by Nine-layer Convolutional Neural Network in Kidney CT

    Liying Wang1 , Zhiqiang Xu2, Shuihua Wang3,4,5,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.010753

    Abstract Artificial Intelligence (AI) becomes one hotspot in the field of the medical images analysis and provides rather promising solution. Although some research has been explored in smart diagnosis for the common diseases of urinary system, some problems remain unsolved completely A nine-layer Convolutional Neural Network (CNN) is proposed in this paper to classify the renal Computed Tomography (CT) images. Four group of comparative experiments prove the structure of this CNN is optimal and can achieve good performance with average accuracy about 92.07 ± 1.67%. Although our renal CT data is not very large, we do augment the training data by… More >

  • Open Access


    A State-Based Peridynamic Formulation for Functionally Graded Euler-Bernoulli Beams

    Zhenghao Yang, Erkan Oterkus*, Selda Oterkus

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.010804

    Abstract In this study, a new state-based peridynamic formulation is developed for functionally graded Euler-Bernoulli beams. The equation of motion is developed by using Lagrange’s equation and Taylor series. Both axial and transverse displacements are taken into account as degrees of freedom. Four different boundary conditions are considered including pinned support-roller support, pinned support-pinned support, clamped-clamped and clamped-free. Peridynamic results are compared against finite element analysis results for transverse and axial deformations and a very good agreement is observed for all different types of boundary conditions. More >

  • Open Access


    A Local Sparse Screening Identification Algorithm with Applications

    Hao Li1,2, Zhixia Wang1,2, Wei Wang1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.010061

    Abstract Extracting nonlinear governing equations from noisy data is a central challenge in the analysis of complicated nonlinear behaviors. Despite researchers follow the sparse identification nonlinear dynamics algorithm (SINDy) rule to restore nonlinear equations, there also exist obstacles. One is the excessive dependence on empirical parameters, which increases the difficulty of data pre-processing. Another one is the coexistence of multiple coefficient vectors, which causes the optimal solution to be drowned in multiple solutions. The third one is the composition of basic function, which is exclusively applicable to specific equations. In this article, a local sparse screening identification algorithm (LSSI) is proposed… More >

  • Open Access


    Subinterval Decomposition-Based Interval Importance Analysis Method

    Wenxuan Wang*, Xiaoyi Wang

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.09006

    Abstract The importance analysis method represents a powerful tool for quantifying the impact of input uncertainty on the output uncertainty. When an input variable is described by a specific interval rather than a certain probability distribution, the interval importance measure of input interval variable can be calculated by the traditional non-probabilistic importance analysis methods. Generally, the non-probabilistic importance analysis methods involve the Monte Carlo simulation (MCS) and the optimization-based methods, which both have high computational cost. In order to overcome this problem, this study proposes an interval important analytical method avoids the time-consuming optimization process. First, the original performance function is… More >

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