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  • Open Access

    ARTICLE

    Germination and Early Growth Responses of Bread Wheat (Triticum aestivum L.) to Cadmium Stress

    Nada Zaari Jabri1, Mohamed Ait-El-Mokhtar1,*, Fadoua Mekkaoui1, Najwa Rabah1, Ilham Amghar1, Ghizlane Diria2, Abdelaziz Hmyene1

    Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3687-3701, 2025, DOI:10.32604/phyton.2025.071634 - 01 December 2025

    Abstract Cadmium (Cd) contamination is a major environmental stressor that adversely affects crop germination and early development. This study assessed the impact of increasing Cd concentrations (0.125 to 1 g/L) on seed germination and early seedling growth in three bread wheat (Triticum aestivum L.) cultivars: Achtar, Lina, and Snina. The results revealed a clear dose-dependent inhibitory effect of Cd. Germination percentage (GP) significantly declined with increasing Cd levels, while mean germination time was progressively delayed, particularly at higher concentrations. Vigor index (VI) also showed significant reductions, reflecting compromised seedling establishment. Morphological traits, especially shoot and root lengths,… More >

  • Open Access

    ARTICLE

    Tritipyrum Aux/IAA13L Increases Chlorophyll Content and Yield in Wheat

    Mutong Li1,#, Xiaolian Yang1,#, Zhishun Yu1, Tingting Yuan1, Wenjie Wang1, Suqin Zhang1,2,*, Guangdong Geng1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3175-3188, 2025, DOI:10.32604/phyton.2025.070731 - 29 October 2025

    Abstract Wheat yield mainly depends on leaf photosynthesis and grain carbohydrate accumulation. The aux/indole-3-acetic acid 13-like (Aux/IAA13L) gene was successfully cloned from Tritipyrum ‘Y1805’ and transformed into common wheat. A bioinformatics analysis showed that the TtAux/IAA13L protein, encoding 232 amino acids, was hydrophilic and unstable. TtAux/IAA13L and Tel5E01G609500 were grouped together in a phylogenetic tree. The TtAux/IAA13L expression levels in the overexpression lines were higher than in the wild-type (WT) plants at five developmental stages: tillering, elongation, heading, flowering, and grain-filling. The expression levels in the overexpression lines first increased, peaked at the flowering stage, and then decreased.… More >

  • Open Access

    ARTICLE

    Transcriptomics Provides New Insights into Resistance Mechanisms in Wheat Infected with Puccinia striiformis f. sp. tritici

    Jing Zhang1,#, Huifen Qiao1,#, Shenglong Wang1,#, Jiawei Yuan1, Qingsong Ba1, Gensheng Zhang1,2,*, Guiping Li1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2701-2718, 2025, DOI:10.32604/phyton.2025.070017 - 30 September 2025

    Abstract Wheat stripe rust, a devastating disease caused by the fungal pathogen Puccinia striiformis f. sp. tritici (Pst), poses a significant threat to global wheat production. Growing resistant cultivars is a crucial strategy for wheat stripe rust management. However, the underlying molecular mechanisms of wheat resistance to Pst remain incompletely understood. To unravel these mechanisms, we employed high-throughput RNA sequencing (RNA-Seq) to analyze the transcriptome of the resistant wheat cultivar Mianmai 46 (MM46) at different time points (24, 48, and 96 h) post-inoculation with the Pst race CYR33. The analysis revealed that Pst infection significantly altered the expression of genes… More >

  • Open Access

    ARTICLE

    Optimizing In Vitro Regeneration of Wheat via Somatic Embryogenesis Using Endosperm-Supported Mature Embryos

    Sumeyra Ucar1, Muhammed Aldaif 2, Esra Yaprak1, Esma Yigider 2, Murat Aydin2,*, Emre Ilhan1, Abdulkadir Ciltas2, Ertan Yildirim3

    Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2461-2477, 2025, DOI:10.32604/phyton.2025.068383 - 29 August 2025

    Abstract Wheat is a crucial crop for global food security, and effective in vitro plant regeneration techniques are considered a precondition for genetic engineering in wheat breeding programs. A practical approach for in vitro regeneration of the Kırik bread wheat cultivar via somatic embryogenesis was investigated using endosperm-supported mature embryos. Callus cultures were initiated from mature embryos supported by endosperm, cultured on phytagel-based Murashige and Skoog (MS) basal medium containing dicamba (12 mg/L) and indole-3-acetic acid (IAA) (0.5 mg/L) under dark conditions. This research was designed to examine the impact of putrescine (Put) (0.0 and 1.0 mM) on… More >

  • Open Access

    ARTICLE

    Limitation of RGB-Derived Vegetation Indices Using UAV Imagery for Biomass Estimation during Buckwheat Flowering

    E. M. B. M. Karunathilake1,#, Thanh Tuan Thai1,2,3,#, Sheikh Mansoor1, Anh Tuan Le3,4, Faheem Shehzad Baloch1,5, Yong Suk Chung1,*, Dong-Wook Kim6,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2215-2228, 2025, DOI:10.32604/phyton.2025.067439 - 31 July 2025

    Abstract Accurate and timely estimation of above-ground biomass is crucial for understanding crop growth dynamics, optimizing agricultural input management, and assessing productivity in sustainable farming practices. However, conventional biomass assessments are destructive and resource-intensive. In contrast, remote sensing techniques, particularly those utilizing low-altitude unmanned aerial vehicles, provide a non-destructive approach to collect imagery data on plant canopy features, including spectral reflectance and structural details at any stage of the crop life cycle. This study explores the potential visible-light-derived vegetative indices to improve biomass prediction during the flowering period of buckwheat (Fagopyrum tataricum). Red, green, and blue (RGB)… More >

  • Open Access

    ARTICLE

    Leveraging the WFD2020 Dataset for Multi-Class Detection of Wheat Fungal Diseases with YOLOv8 and Faster R-CNN

    Shivani Sood1, Harjeet Singh2,*, Surbhi Bhatia Khan3,4,5,*, Ahlam Almusharraf6

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2751-2787, 2025, DOI:10.32604/cmc.2025.060185 - 03 July 2025

    Abstract Wheat fungal infections pose a danger to the grain quality and crop productivity. Thus, prompt and precise diagnosis is essential for efficient crop management. This study used the WFD2020 image dataset, which is available to everyone, to look into how deep learning models could be used to find powdery mildew, leaf rust, and yellow rust, which are three common fungal diseases in Punjab, India. We changed a few hyperparameters to test TensorFlow-based models, such as SSD and Faster R-CNN with ResNet50, ResNet101, and ResNet152 as backbones. Faster R-CNN with ResNet50 achieved a mean average precision More >

  • Open Access

    ARTICLE

    Development of Loose-Fill Thermal Insulation Materials from Annual Plant Residues Using Low-Concentration Chemimechanical Pulping

    Andris Berzins1,2, Ramunas Tupciauskas1,*, Gunars Pavlovics1, Martins Andzs1

    Journal of Renewable Materials, Vol.13, No.6, pp. 1189-1207, 2025, DOI:10.32604/jrm.2025.02024-0067 - 23 June 2025

    Abstract This study examines the development of loose-fill thermal insulation materials derived from annual plant residues, such as wheat straw, water reeds, and corn stalks, processed using the chemimechanical pulping (CMP) technique. The chopped plants were soda-cooked for 30 min, varying NaOH concentration (2%–8% on a dry basis of biomass), and mechanically refined using different disc types. The CMP process enhances the homogeneity and stability of defibrated material, yielding improved insulation properties compared to untreated chopped raw materials. Chemical analysis revealed that CMP increases cellulose content and reduces lignin levels, enhancing water retention and vapor diffusion… More > Graphic Abstract

    Development of Loose-Fill Thermal Insulation Materials from Annual Plant Residues Using Low-Concentration Chemimechanical Pulping

  • Open Access

    ARTICLE

    Enhanced Wheat Disease Detection Using Deep Learning and Explainable AI Techniques

    Hussam Qushtom, Ahmad Hasasneh*, Sari Masri

    CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1379-1395, 2025, DOI:10.32604/cmc.2025.061995 - 09 June 2025

    Abstract This study presents an enhanced convolutional neural network (CNN) model integrated with Explainable Artificial Intelligence (XAI) techniques for accurate prediction and interpretation of wheat crop diseases. The aim is to streamline the detection process while offering transparent insights into the model’s decision-making to support effective disease management. To evaluate the model, a dataset was collected from wheat fields in Kotli, Azad Kashmir, Pakistan, and tested across multiple data splits. The proposed model demonstrates improved stability, faster convergence, and higher classification accuracy. The results show significant improvements in prediction accuracy and stability compared to prior works,… More >

  • Open Access

    ARTICLE

    Morpho-Physiological Indices for Identification of Heat Tolerant Wheat Genotypes (Triticum aestivum L.) at Seedling Stage

    S. Y. Labonno, M. S. Raihan, M. Mohi-Ud-Din, A. K. M. Aminul Islam*

    Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1545-1563, 2025, DOI:10.32604/phyton.2025.063916 - 29 May 2025

    Abstract Morpho-physiological evaluation of a crop’s genetic resources is necessary to find possible genotypes to include in breeding initiatives. The objective of this study was to identify heat-tolerant wheat genotypes among36 mutant lines using morpho-physiological indices. Seedlings of mutant lines and check varieties were grown under both normal (control) and heat-stress conditions in growth chambers. Data were recorded on root-shoot parameters (length, fresh weight, dry weight, and ratio), relative water content (RWC), stability of cell membrane, pigment content, and chlorophyll fluorescence. Two-way analysis of variance showed significant (p < 0.01, p < 0.001) variation among15 morpho-physiological features… More >

  • Open Access

    ARTICLE

    Impact of Drought, Salinity, and Waterlogging on Wheat: Physiological, Biochemical Responses, and Yield Implications

    Mudasser Mehmood1,*, Zoahaib Aslam Khan1, Adil Mehmood2, Madiha Zaynab3, Muhammad Atiq ur Rahman4, Mohammad Khalid Al-Sadoon5, M. Harshini6, Ling Shing Wong7

    Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1111-1135, 2025, DOI:10.32604/phyton.2025.059812 - 30 April 2025

    Abstract Wheat (Triticum aestivum L.) is a staple crop critical for global food security, yet its productivity is significantly affected by abiotic stresses such as drought, salinity, and waterlogging, which are exacerbated by climate change. This study evaluated the effects of these stresses on vegetative growth, physiological responses, and yield. Field experiments were conducted using a Randomized Complete Block Design (RCBD) at the Mona Reclamation Experimental Project (MREP), WAPDA, Bhalwal, Sargodha, Punjab Pakistan. Stress treatments included three levels of drought (25%, 50%, and 75% field capacity), salinity (4, 8, and 12 dS/m), and waterlogging (24, 48, and… More >

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