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  • Open Access

    ARTICLE

    Genome-Wide Identification of Tomato (Solanum lycopersicum L.) CKX Gene Family and Expression Analysis in the Callus Tissue under Zeatin Treatment

    Zhengfeng Lai, Dongmei Lian, Shaoping Zhang, Yudong Ju, Bizhen Lin, Yunfa Yao, Songhai Wu, Jianji Hong, Zhou Li*

    Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1143-1158, 2024, DOI:10.32604/phyton.2024.051207

    Abstract The cytokinin oxidase/dehydrogenase (CKX) enzyme is essential for controlling the fluctuating levels of endogenous cytokinin (CK) and has a significant impact on different aspects of plant growth and development. Nonetheless, there is limited knowledge about CKX genes in tomato (Solanum lycopersicum L.). Here we performed genome-wide identification and analysis of nine SlCKX family members in tomatoes using bioinformatics tools. The results revealed that nine SlCKX genes were unevenly distributed on five chromosomes (Chr.1, Chr.4, Chr.8, Chr.10, and Chr.12). The amino acid length, isoelectric points, and molecular weight of the nine SlCKX proteins ranged from 453 to 553, 5.77… More >

  • Open Access

    ARTICLE

    Quantitative and Qualitative Responses of Hydroponic Tomato Production to Different Levels of Salinity

    Khalid A. Al-Gaadi1,2, Ahmed M. Zeyada1, ElKamil Tola2,*, Abdullah M. Alhamdan1,3, Khalid A.M. Ahmed3,4, Rangaswamy Madugundu2, Mohamed K. Edrris2

    Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1311-1323, 2024, DOI:10.32604/phyton.2024.049535

    Abstract From economic and nutritional points of view, tomato is, historically, considered one of the most important crops. Without significant yield reduction, most commercial cultivars of tomato crops are sensitive to moderate levels of salinity. However, high levels of salt stress can negatively affect the yield and quality of tomato fruits. Therefore, this study was conducted to evaluate the yield and fruit quality of three tomato cultivars (Forester, Ghandowra-F1, and Feisty-Red) cultivated hydroponically, under three different levels of nutrient solution salinity. Evaluation of tomato fruits was performed based on quantity (number and weight of fruits, and… More >

  • Open Access

    ARTICLE

    Time and Space Efficient Multi-Model Convolution Vision Transformer for Tomato Disease Detection from Leaf Images with Varied Backgrounds

    Ankita Gangwar1, Vijaypal Singh Dhaka1, Geeta Rani2,*, Shrey Khandelwal1, Ester Zumpano3,4, Eugenio Vocaturo3,4

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 117-142, 2024, DOI:10.32604/cmc.2024.048119

    Abstract A consumption of 46.9 million tons of processed tomatoes was reported in 2022 which is merely 20% of the total consumption. An increase of 3.3% in consumption is predicted from 2024 to 2032. Tomatoes are also rich in iron, potassium, antioxidant lycopene, vitamins A, C and K which are important for preventing cancer, and maintaining blood pressure and glucose levels. Thus, tomatoes are globally important due to their widespread usage and nutritional value. To face the high demand for tomatoes, it is mandatory to investigate the causes of crop loss and minimize them. Diseases are… More >

  • Open Access

    ARTICLE

    A Lightweight Deep Learning-Based Model for Tomato Leaf Disease Classification

    Naeem Ullah1, Javed Ali Khan2,*, Sultan Almakdi3, Mohammed S. Alshehri3, Mimonah Al Qathrady4, Eman Abdullah Aldakheel5,*, Doaa Sami Khafaga5

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3969-3992, 2023, DOI:10.32604/cmc.2023.041819

    Abstract Tomato leaf diseases significantly impact crop production, necessitating early detection for sustainable farming. Deep Learning (DL) has recently shown excellent results in identifying and classifying tomato leaf diseases. However, current DL methods often require substantial computational resources, hindering their application on resource-constrained devices. We propose the Deep Tomato Detection Network (DTomatoDNet), a lightweight DL-based framework comprising 19 learnable layers for efficient tomato leaf disease classification to overcome this. The Convn kernels used in the proposed (DTomatoDNet) framework is 1 × 1, which reduces the number of parameters and helps in more detailed and descriptive feature extraction for… More >

  • Open Access

    ARTICLE

    Evaluating the Effects of Aquaculture Wastewater Irrigation with Fertilizer Reduction on Greenhouse Tomato Production, Economic Benefits and Soil Nitrogen Characteristics

    Hang Guo1,2,3, Linxian Liao1,2,3, Zhenhao Zheng4, Junzeng Xu1,2,3,*, Qi Wei1,2,3, Peng Chen1,2,3, Kechun Wang1,2,3

    Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3291-3304, 2023, DOI:10.32604/phyton.2023.044051

    Abstract

    The utilization of aquaculture wastewater as irrigation is an effective way to recycle and reuse water and nitrogen fertilizer resources because it contains numerous nutrients. However, it is still unclear that the pattern of substituting aquaculture wastewater irrigation for fertilizer supplementing is conducive to improving the soil nitrogen status, fruit yield and water-fertilizer use efficiency for tomato production. In this context, the experiment was intended to establish the appropriate irrigation regime of aquaculture wastewater in tomato production for freshwater replacement and fertilizer reduction to ensure good yields. Pot experiments were conducted with treatments as farmers

    More >

  • Open Access

    ARTICLE

    A HYBRID CELLULAR AUTOMATON METHOD FOR STRUCTURAL TOPOLOGY OPTIMIZATION WITH MECHANICAL AND HEAT CONSTRAINTS

    Xiaolei Denga,b,c,*,† , Jin Wangd , Jinyu Zhoua, Hongcheng Shena, Zefeng Shenga, Jianglin Zhanga, Xiaowen La, Changxiong Xiea

    Frontiers in Heat and Mass Transfer, Vol.12, pp. 1-6, 2019, DOI:10.5098/hmt.12.13

    Abstract A hybrid cellular automaton model combined with finite element method for structural topology optimization with mechanical and heat constraints is developed. The effect of thermal stress on structural optimization is taken into account. Higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The validating studies of standard testing structure for topological optimization are carried out. The structure evolution, stress evolution and thermal evolution of topology optimization with mechanical and heat constraints are investigated. The results show the developed hybrid method is more efficient for structural More >

  • Open Access

    ARTICLE

    THERMAL TOPOLOGY OPTIMIZATION DESIGN OF SPINDLE STRUCTURE WITH A HYBRID CELLULAR AUTOMATON METHOD

    Xiaolei Denga,b,c,*, Jin Wangd , Hongcheng Shena, Jinyu Zhoua, Jianchen Wanga,c, Changxiong Xiea, Jianzhong Fub

    Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-6, 2019, DOI:10.5098/hmt.13.13

    Abstract A hybrid cellular automaton model combined with a finite element method for thermal topology optimization of spindle structure is developed. The higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The local sensitivity filtering algorithm and the weight approach are applied. The four validating studies of two-dimensional structure for thermal topology optimization are carried out. The structure evolution and thermal distribution evolution of thermal topology optimization are investigated. The results show the developed hybrid method is more efficient for thermal topology optimization. Meanwhile, the thermal More >

  • Open Access

    ARTICLE

    Image Generation of Tomato Leaf Disease Identification Based on Small-ACGAN

    Huaxin Zhou1,2, Ziying Fang3, Yilin Wang4, Mengjun Tong1,2,*

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 175-194, 2023, DOI:10.32604/cmc.2023.037342

    Abstract Plant diseases have become a challenging threat in the agricultural field. Various learning approaches for plant disease detection and classification have been adopted to detect and diagnose these diseases early. However, deep learning entails extensive data for training, and it may be challenging to collect plant datasets. Even though plant datasets can be collected, they may be uneven in quantity. As a result, the problem of classification model overfitting arises. This study targets this issue and proposes an auxiliary classifier GAN (small-ACGAN) model based on a small number of datasets to extend the available data.… More >

  • Open Access

    ARTICLE

    Facteurs associés à la symptomatologie anxiodépressive chez des femmes tunisiennes atteintes d’un cancer du sein

    M. Karoui, R. Kamoun, H. Nefzi, N. Marrakchi, H. Raies, A. Mezlini, K. Meddeb, F. Ellouze

    Psycho-Oncologie, Vol.17, No.1, pp. 31-37, 2023, DOI:10.3166/pson-2022-0211

    Abstract Objectifs: L’étude avait pour objectif d’estimer la prévalence de la dépression et de l’anxiété dans une population de femmes tunisiennes suivies pour un cancer du sein et de relever les données sociodémographiques, cliniques et de vie de couple qui leur sont associées.
    Matériels et méthodes: Une étude transversale auprès de 100 patientes suivies pour un cancer du sein a été réalisée. Un questionnaire portant sur les caractéristiques sociodémographiques, cliniques, thérapeutiques, sur la vie conjugale et sur la sexualité du couple a été administré. L’échelle HADS (Hospital Anxiety and Depression Scale) a été utilisée pour le dépistage des… More >

  • Open Access

    ARTICLE

    Pre-Breeding Genetic Diversity Assessment of Tomato (Solanum lycopersicum L.) Cultivars Based on Molecular, Morphological and Physicochemical Parameters

    Jameel M. Al-Khayri1,*, Salha M. Alshamrani2, Adel A. Rezk1, Wael F. Shehata1, Mustafa I. Almaghasla3, Tarek A. Shalaby3,4, Ahmed M. Saad5, Fatmah A. Safhi6, Muhammad N. Sattar7, Arafat A. Abdel Latef8, Mahmoud Z. Sitohy5, Abdallah A. Hassanin9,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1493-1512, 2023, DOI:10.32604/phyton.2023.027375

    Abstract Appropriate knowledge of the parental cultivars is a pre-requisite for a successful breeding program. This study characterized fruit yield, quality attributes, and molecular variations of ten tomato cultivars during three consecutive generations under greenhouse conditions. Peto 86, Castle Rock, and Red Star cultivars showed the highest fruit yield (kg/plant), total phenolic compounds (TPC), and sap acidity. Principal component analysis categorized the evaluated fruit yield into three groups based on their quality attributes. A robust positive correlation appeared among traits inside each group. A positive correlation was likewise noticed between the first and the second groups.… More >

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