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  • Open Access

    REVIEW

    Carotenoids: New Applications of “Old” Pigments

    Stefan M. Kolašinac1, Zora P. Dajić Stevanović1,*, Sofija N. Kilibarda1,  Aleksandar Ž. Kostić2,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1041-1062, 2021, DOI:10.32604/phyton.2021.015996 - 27 April 2021

    Abstract Carotenoids represent a large group of mainly red, orange, and yellow natural metabolites mainly involved in regulation of many metabolic processes. Carotenoids are beneficial for human health. Current study describes the importance, chemical composition and functioning of carotenoids. It is well known that carotenoids support pigments acting in light absorbance mechanisms during photosynthesis, and are known to protect the chlorophyll molecules from oxidative stress and reactive oxygen species (ROS) damage. Carotenoids are involved in signaling processes in plants, responses to environmental stresses, pollination, germination and reproduction, and development regulation. As nutrients of strong antioxidant activity… More >

  • Open Access

    REVIEW

    Interaction between Earthworms and Arbuscular Mycorrhizal Fungi in Plants: A Review

    Lulu Meng1, A. K. Srivastava2, Kamil Kuča3, Bhoopander Giri4, Mohammed Mahabubur Rahman5, Qiangsheng Wu1,3,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.3, pp. 687-699, 2021, DOI:10.32604/phyton.2021.015427 - 30 March 2021

    Abstract Different kinds of soil animals and microorganisms inhabit the plant rhizosphere, which function closely to plant roots. Of them, arbuscular mycorrhizal fungi (AMF) and earthworms play a critical role in sustaining the soil-plant health. Earthworms and AMF belong to the soil community and are soil beneficial organisms at different trophic levels. Both of them improve soil fertility and structural development, collectively promoting plant growth and nutrient acquisition capacity. Earthworm activities redistribute mycorrhizal fungi spores and give diversified effects on root mycorrhizal fungal colonization. Dual inoculation with both earthworms and AMF strongly magnifies the response on More >

  • Open Access

    ARTICLE

    An Efficient Plant Regeneration System of Hydrangea bretschneideri Dipp via Stem Segments as Explants

    Si ran Wang#, Jia Yan#, Bu er Ha, Yu’e Bai*

    Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 595-604, 2021, DOI:10.32604/phyton.2021.013693 - 07 February 2021

    Abstract Hydrangea bretschneideri Dipp is a highly popular ornamental plant for garden decoration. Genetic engineering technology has been successfully used in many plant species, but it is limited in Hydrangea. Here we established an efficient regeneration system by using stem segments as explants for the first time. In our study, the plant growth regulators (PGRs) were evaluated at the different regeneration processes, including axillary shoots regeneration and root induction. We found that the optimal concentration for axillary buds’ induction was 2.0 mgL−1 6-BA and 0.5 mgL−1 1 IAA, its highest induction rate was 70%. Moreover, the highest axillary shoots More >

  • Open Access

    REVIEW

    Non-Canonical Functions of the E2F/DP Pathway with Emphasis in Plants

    Víctor A. Sánchez-Camargo1,2, Samantha Romero-Rodríguez1, Jorge M. Vázquez-Ramos1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 307-330, 2021, DOI:10.32604/phyton.2021.014967 - 07 February 2021

    Abstract The E2F/DP pathway is a widely conserved regulatory mechanism in pluricellular organisms. The family of E2F and DP transcription factors was originally described having a role in the transition from the G1 to the S phase of the cell cycle. However, the discovery of hundreds of possible gene targets and their involvement in many other biochemical processes, soon showed that they participated in cell development and differentiation, chromatin remodeling, DNA repair and others. The E2F/DP transcription factors can act as either activators or repressors of transcription depending on their association to other regulatory proteins, particularly… More >

  • Open Access

    ARTICLE

    Load Frequency Control of Multi-interconnected Renewable Energy Plants Using Multi-Verse Optimizer

    Hegazy Rezk1,*, Mohamed A. Mohamed2, Ahmed A. Zaki Diab2, N. Kanagaraj1

    Computer Systems Science and Engineering, Vol.37, No.2, pp. 219-231, 2021, DOI:10.32604/csse.2021.015543 - 01 March 2021

    Abstract A reliable approach based on a multi-verse optimization algorithm (MVO) for designing load frequency control incorporated in multi-interconnected power system comprising wind power and photovoltaic (PV) plants is presented in this paper. It has been applied for optimizing the control parameters of the load frequency controller (LFC) of the multi-source power system (MSPS). The MSPS includes thermal, gas, and hydro power plants for energy generation. Moreover, the MSPS is integrated with renewable energy sources (RES). The MVO algorithm is applied to acquire the ideal parameters of the controller for controlling a single area and a More >

  • Open Access

    ARTICLE

    Image-Based Automatic Diagnostic System for Tomato Plants Using Deep Learning

    Shaheen Khatoon1,*, Md Maruf Hasan1, Amna Asif1, Majed Alshmari1, Yun-Kiam Yap2

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 595-612, 2021, DOI:10.32604/cmc.2021.014580 - 12 January 2021

    Abstract Tomato production is affected by various threats, including pests, pathogens, and nutritional deficiencies during its growth process. If control is not timely, these threats affect the plant-growth, fruit-yield, or even loss of the entire crop, which is a key danger to farmers’ livelihood and food security. Traditional plant disease diagnosis methods heavily rely on plant pathologists that incur high processing time and huge cost. Rapid and cost-effective methods are essential for timely detection and early intervention of basic food threats to ensure food security and reduce substantial economic loss. Recent developments in Artificial Intelligence (AI)… More >

  • Open Access

    ARTICLE

    Optimal Robust Control for Unstable Delay System

    Rihem Farkh1,2,*, Khaled A. Aljaloud1, Moufida Ksouri2, Faouzi Bouani2

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 307-321, 2021, DOI:10.32604/csse.2021.014334 - 05 January 2021

    Abstract Proportional-Integral-Derivative control system has been widely used in industrial applications. For uncertain and unstable systems, tuning controller parameters to satisfy the process requirements is very challenging. In general, the whole system’s performance strongly depends on the controller’s efficiency and hence the tuning process plays a key role in the system’s response. This paper presents a robust optimal Proportional-Integral-Derivative controller design methodology for the control of unstable delay system with parametric uncertainty using a combination of Kharitonov theorem and genetic algorithm optimization based approaches. In this study, the Generalized Kharitonov Theorem (GKT) for quasi-polynomials is employed… More >

  • Open Access

    ARTICLE

    Severity Recognition of Aloe vera Diseases Using AI in Tensor Flow Domain

    Nazeer Muhammad1, Rubab2, Nargis Bibi3, Oh-Young Song4, Muhammad Attique Khan5,*, Sajid Ali Khan6

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2199-2216, 2021, DOI:10.32604/cmc.2020.012257 - 26 November 2020

    Abstract Agriculture plays an important role in the economy of all countries. However, plant diseases may badly affect the quality of food, production, and ultimately the economy. For plant disease detection and management, agriculturalists spend a huge amount of money. However, the manual detection method of plant diseases is complicated and time-consuming. Consequently, automated systems for plant disease detection using machine learning (ML) approaches are proposed. However, most of the existing ML techniques of plants diseases recognition are based on handcrafted features and they rarely deal with huge amount of input data. To address the issue,… More >

  • Open Access

    ARTICLE

    Cytogenetical Changes among Polyembryonic (PEm) and Non-PEm Maize Plants

    A. A. Román-Calzoncit1, F. Ramírez-Godina2,*, J. Sánchez-Laureano2, A. C. Flores-Gallegos1, J. Espinoza-Velázquez2, R. Rodríguez-Herrera1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 87-97, 2021, DOI:10.32604/phyton.2020.013880 - 20 November 2020

    Abstract Polyembryony in maize (PEm) contributes to improving the nutritional properties of the grain, as well as an increase in yield, since it generates multiple plants per seed, opening the possibility of developing new varieties. However, it is unknown whether polyembryony in maize is the product of chromosomal abnormalities. Based on the above, in this research a cytogenetic study was proposed to verify if chromosomal abnormalities are related to the maize polyembryony. For a meiotic study, maize genotypes with variable proportions of polyembryony (PEm), from the UA-IMM-BAP population and non-PEm (monoembryonic) maize were used, while for… More >

  • Open Access

    HOW I DO IT

    Next-generation DNA sequencing for infected genitourinary implants: How I do it

    Paul H. Chung, Joon Yau Leong, Seth Teplitsky, Patrick J. Shenot, Akhil K. Das, Leonard G. Gomella

    Canadian Journal of Urology, Vol.27, No.5, pp. 10418-10423, 2020

    Abstract Infection of artificial urinary sphincters or inflatable penile prostheses is one of the most devastating complications after prosthetic surgery and can have a significant impact on a quality of life. Patients undergoing revision surgery with or without device replacement may have increased risk for infection when compared to initial primary surgery. As such, surgeons may utilize traditional culture results to direct antimicrobial therapy for these patients. Unfortunately, culture results can be inconclusive in up to one-third of the time even in the setting of active device infection. Next-generation sequencing (NGS) of DNA is an emerging More >

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