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  • Open Access

    ARTICLE

    Biostimulatory Influence of Commercial Seaweed Extract on Seed Emergence, Seedling Growth, and Vigor of Winter Rice

    Zakia Akter1, Sumona Akter Jannat2, Sheikh Md. Shibly1, Afroza Sultana1, Amdadul Hoque Amran1, Joairia Hossain Faria1, Sabina Yeasmin1, Md. Parvez Anwar1,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2026.075524 - 30 January 2026

    Abstract Seaweed extract contains plant growth regulators and bio-stimulants that enhance plant growth and development. In Bangladesh, winter rice (Boro rice) in the nursery bed often shows poor seed emergence and weak seedling growth due to low temperature. This problem can be addressed by using seaweed extract as a seed priming agent and bio-stimulant. The objective of this study was to evaluate the effectiveness of seaweed extract (Crop Plus) on seed emergence, seedling growth, and vigor of winter rice in the nursery. Two experiments were conducted at Bangladesh Agricultural University using BRRI dhan89. The laboratory experiment… More >

  • Open Access

    ARTICLE

    Direct Production of Sorbitol-Plasticized Bioplastic Film from Gracilaria sp.

    Ahmad Faldo1, Labanta Marbun1, Hezekiah Lemuel Putra Zebua1, Fateha Fateha2, Rossy Choerun Nissa2, Yurin Karunia Apsha Albaina Iasya3, Riri Uswatun Annifah3, Amrul Amrul1, Yeyen Nurhamiyah2,*

    Journal of Polymer Materials, Vol.42, No.3, pp. 743-755, 2025, DOI:10.32604/jpm.2025.069981 - 30 September 2025

    Abstract Conventional bioplastic production from seaweed often relies on extraction processes that are costly, time-consuming, and yield limited product. This study presents a direct fabrication method using Gracilaria sp., a red seaweed rich in polysaccharides, to produce bioplastic films without the need for extraction. Sorbitol was incorporated as a plasticizer at concentrations of 0%–10% (w/w) to modify film characteristics. Thermal analysis revealed improved stability at moderate sorbitol levels (5%–7%), while excessive plasticizer slightly reduced thermal resistance. Mechanical testing showed that sorbitol increased film flexibility and elongation at break, though tensile strength and stiffness declined. Tear strength followed More >

  • Open Access

    ARTICLE

    The Impact of Caulerpa lentillifera Seaweed-Based Coatings on Physicochemical Characteristics and Shelf Longevity of Fruits and Vegetables

    Nuraqilah Syamimi Mat Jauilah1, Kobun Rovina2,*, Wahidatul Husna Zuldin3, Sarifah Supri1, Patricia Matanjun1, Luh Suriati4

    Journal of Polymer Materials, Vol.42, No.3, pp. 853-871, 2025, DOI:10.32604/jpm.2025.066751 - 30 September 2025

    Abstract Food breakdown during storage and transit greatly adds to worldwide food waste. Biodegradable edible coatings derived from natural sources provide a sustainable method to extend the shelf life and preserve the freshness of fresh fruit. This study explores the potential of the readily available and nutrient-rich seaweed, Caulerpa lentillifera, as a base material for edible coatings that can enhance the shelf life and maintain the physicochemical properties of fruits and vegetables. Caulerpa lentillifera, a marine macroalga renowned for its unique biochemical composition, presents a promising avenue for developing sustainable bio-coatings to improve the post-harvest quality of fresh… More >

  • Open Access

    ARTICLE

    Evaluation of Seaweeds as Stimulators to Alleviate Salinity-Induced Stress on Some Agronomic Traits of Different Peanut (Arachis hypogaea L.) Cultivars

    Nilüfer Kocak Sahin*

    Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2399-2421, 2025, DOI:10.32604/phyton.2025.067880 - 29 August 2025

    Abstract Peanut (Arachis hypogaea) is of international importance as a source of oil and protein. Soil salinity is one of the most significant abiotic stress factors affecting the yield and quality of peanuts. This study evaluated the potential of a seaweed-based biostimulant to enhance emergence and seedling growth of four peanut cultivars (‘Ayse Hanım’, ‘Halis Bey’, ‘NC-7’, and ‘Albenek’) under increasing salinity levels. The experiment was conducted under greenhouse conditions using a randomized complete block design with four replicates. Seeds were sown in trays and treated with two doses of seaweed extract (0 and 5 g L−1) applied… More >

  • Open Access

    ARTICLE

    Optimizing Nitrogen Rate and Biostimulant Application to Improve Onion (Allium cepa L.) Yield and Nutrient Use Efficiency

    Đorđe Vojnović1, Robert Pokluda2, Ivana Maksimović1, Janko Červenski3, Sonja Ilin3, Boris Adamović1, Jelena Popović-Đorđević4,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 1997-2013, 2025, DOI:10.32604/phyton.2025.065535 - 31 July 2025

    Abstract Onion (Allium cepa L.) is a widely cultivated vegetable valued for its taste, aroma, and nutritional content. Biostimulants (BTs) are substances that stimulate plant growth and development. This study explores the impact of BTs and nitrogen (N) fertilization on the yield and nutrient use efficiency of directly seeded onions, addressing the challenges of excessive N application and promoting sustainable practices. A two-year field experiment was conducted using a split-plot design with three replications. Treatments included a control (C), a seaweed extract-based BT (T1), humic and fulvic acids (T2), and Trichoderma spp. (T3). N rates applied were 64… More > Graphic Abstract

    Optimizing Nitrogen Rate and Biostimulant Application to Improve Onion (<i>Allium cepa</i> L.) Yield and Nutrient Use Efficiency

  • Open Access

    REVIEW

    Enhancing Plant Resilience to Abiotic Stress: The Power of Biostimulants

    Su-Ee Lau1,2,*, Lucas Wei Tze Lim3, Mohd Fadhli Hamdan4, Colin Chan5, Noor Baity Saidi6, Janna Ong-Abdullah6, Boon Chin Tan1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 1-31, 2025, DOI:10.32604/phyton.2025.059930 - 24 January 2025

    Abstract Abiotic stresses such as drought, heat, salinity, and heavy metal contamination severely affect global agricultural productivity. Between 2005 and 2015, droughts caused losses of approximately USD 29 billion in developing countries, and from 2008 to 2018, droughts accounted for over 34% of crop and livestock yield losses, totaling about USD 37 billion. To support the growing human population, agricultural output must increase substantially, necessitating a 60%–100% rise in crop productivity to meet the escalating demand. To address environmental challenges, organic, inorganic, and microbial biostimulants are increasingly employed to enhance plant resilience through various morphological, physiological,… More >

  • Open Access

    ARTICLE

    Phytochemical and Pharmacological Study on the Dry Extract of Matricaria discoidea DC. herb and Its Amino Acids Preparations

    Oleh Koshovyi1,2,*, Janne Sepp1, Valdas Jakštas3, Vaidotas Žvikas3, Karina Tolmacheva4, Igor Kireyev4, Jyrki Heinämäki1, Ain Raal1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2909-2925, 2024, DOI:10.32604/phyton.2024.056536 - 30 November 2024

    Abstract Pineappleweed (Matricaria discoidea DC., Asteraceae) herb is an essential oil containing raw material with spasmolytic and anti-inflammatory activity. It is also rich in phenolics, which may be used in pharmaceutical practice. This study aimed to investigate the phenolic and amino acid composition and the hyporific and analgesic effects of the M. discoidea aqueous-ethanolic extract and its amino acid modifications. In addition, we developed a polyethylene oxide gel formulation with M. discoidea extracts for the 3D-printed oral solid dosage preparations. In M. discoidea extracts, 16 phenolic substances and 14 amino acids were established. The extract and its amino acid preparations More >

  • Open Access

    REVIEW

    Artificial Intelligence for Maximizing Agricultural Input Use Efficiency: Exploring Nutrient, Water and Weed Management Strategies

    Sumit Sow1,#, Shivani Ranjan1,#,*, Mahmoud F. Seleiman2,3, Hiba M. Alkharabsheh4,*, Mukesh Kumar1, Navnit Kumar1, Smruti Ranjan Padhan5, Dhirendra Kumar Roy1, Dibyajyoti Nath6, Harun Gitari7, Daniel O. Wasonga8

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1569-1598, 2024, DOI:10.32604/phyton.2024.052241 - 30 July 2024

    Abstract Agriculture plays a crucial role in the economy, and there is an increasing global emphasis on automating agricultural processes. With the tremendous increase in population, the demand for food and employment has also increased significantly. Agricultural methods traditionally used to meet these requirements are no longer adequate, requiring solutions to issues such as excessive herbicide use and the use of chemical fertilizers. Integration of technologies such as the Internet of Things, wireless communication, machine learning, artificial intelligence (AI), and deep learning shows promise in addressing these challenges. However, there is a lack of comprehensive documentation… More >

  • Open Access

    ARTICLE

    An Improved UNet Lightweight Network for Semantic Segmentation of Weed Images in Corn Fields

    Yu Zuo1, Wenwen Li2,*

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4413-4431, 2024, DOI:10.32604/cmc.2024.049805 - 20 June 2024

    Abstract In cornfields, factors such as the similarity between corn seedlings and weeds and the blurring of plant edge details pose challenges to corn and weed segmentation. In addition, remote areas such as farmland are usually constrained by limited computational resources and limited collected data. Therefore, it becomes necessary to lighten the model to better adapt to complex cornfield scene, and make full use of the limited data information. In this paper, we propose an improved image segmentation algorithm based on unet. Firstly, the inverted residual structure is introduced into the contraction path to reduce the… More >

  • Open Access

    ARTICLE

    Federated Learning Model for Auto Insurance Rate Setting Based on Tweedie Distribution

    Tao Yin1, Changgen Peng2,*, Weijie Tan3, Dequan Xu4, Hanlin Tang5

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 827-843, 2024, DOI:10.32604/cmes.2023.029039 - 22 September 2023

    Abstract In the assessment of car insurance claims, the claim rate for car insurance presents a highly skewed probability distribution, which is typically modeled using Tweedie distribution. The traditional approach to obtaining the Tweedie regression model involves training on a centralized dataset, when the data is provided by multiple parties, training a privacy-preserving Tweedie regression model without exchanging raw data becomes a challenge. To address this issue, this study introduces a novel vertical federated learning-based Tweedie regression algorithm for multi-party auto insurance rate setting in data silos. The algorithm can keep sensitive data locally and uses… More >

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