Tajinder Kumar¹, Sarbjit Kaur², Purushottam Sharma^3,*, Ankita Chhikara⁴, Xiaochun Cheng^5,*, Sachin Lalar⁶, Vikram Verma⁷

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5219-5234, 2025, DOI:10.32604/cmc.2025.062010 - 19 May 2025

Abstract During its growth stage, the plant is exposed to various diseases. Detection and early detection of crop diseases is a major challenge in the horticulture industry. Crop infections can harm total crop yield and reduce farmers’ income if not identified early. Today’s approved method involves a professional plant pathologist to diagnose the disease by visual inspection of the afflicted plant leaves. This is an excellent use case for Community Assessment and Treatment Services (CATS) due to the lengthy manual disease diagnosis process and the accuracy of identification is directly proportional to the skills of pathologists.… More >

Yuhang Li¹, Li Sun¹, Tao Wang¹, Bingjun Yu², Zhihong Gao³, Xiaochun Shu¹, Tengyue Yan¹, Weibing Zhuang^1,2,*, Zhong Wang^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1211-1223, 2025, DOI:10.32604/phyton.2025.063647 - 30 April 2025

Abstract bHLH transcription factors, widely exist in various plants, and are vital for the growth and development of these plants. Among them, many have been implicated in anthocyanin biosynthesis across various plants. In the present study, a PdbHLH57 gene, belonging to the bHLH IIIf group, was characterized, which was isolated and cloned from the colored-leaf poplar ‘Zhongshancaiyun’ (ZSCY). The cDNA sequence of PdbHLH57 was 1887 base pairs, and the protein encoded by PdbHLH57 had 628 amino acids, the isoelectric point and molecular weight of which were 6.26 and 69.75 kDa, respectively. Through bioinformatics analysis, PdbHLH57 has been classified… More >

Chao Zhang¹, Runze Yan¹, Honghui Li¹, Qingheng Tang¹, Qinghai Zhao^1,2,*

Frontiers in Heat and Mass Transfer, Vol.23, No.2, pp. 421-440, 2025, DOI:10.32604/fhmt.2025.061469 - 25 April 2025

Abstract The growing need for enhanced heat dissipation is compelling the development of more effective heat exchangers. Innovation inspired by nature bionics, four types of leaf-shaped pin fins were proposed and four combinations of them were considered. The leaf-shaped design of the cooling pin fin enhances uniformity and synergy, effectively creating an optimized flow path that boosts cooling performance. Eight three-dimensional conjugate heat transfer models in staggered arrangement were developed using ANSYS-Fluent software. Aluminum 6061 material was used as the heat sink material and single-phase liquid water flowed through the rectangular channel where the Reynolds (Re) number… More >

Antonio Rodrigues da Cunha Neto¹, Alexandra dos Santos Ambrósio¹, Arlinda de Jesus Rodrigues Resende¹, Breno Régis Santos¹, Michele Carla Nadal^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 539-560, 2025, DOI:10.32604/phyton.2025.061776 - 31 March 2025

Abstract Cytokinins are plant hormones that are essential for plant growth and development and are involved in a variety of processes. They are synthesized by the modification of adenine with an isoprenoid chain, resulting in cytokinins such as isopentenyladenine and zeatin. The levels of these hormones are regulated by conjugation, degradation and oxidation processes that modulate their activity. Cytokinins are perceived by cells through specific receptors that, when activated, trigger signaling cascades responsible for regulating the expression of genes critical for development. In addition, cytokinins interact with other hormones, such as auxins, to coordinate plant growth… More >

Ran Li^1,#, Liuhong Chen^1,#, Yu Liu¹, Chunlei Zhao^1,2, Yanli Li^1,2, Guangzhou Ding^1,2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 875-895, 2025, DOI:10.32604/phyton.2025.061550 - 31 March 2025

Abstract Mildew resistance locus O (MLO) proteins are extensively found in various plant species and are essential for multiple biological functions. The characterization and analysis of MLO genes have been conducted across numerous species. However, the functions and features of MLO genes inside sugar beet remain poorly understood. In the present research, we conducted a comprehensive analysis of the structural features of MLO genes, physicochemical characteristics of proteins, evolutionary connections, and expression profiles in sugar beet. A total of 13 BvMLO genes containing MLO structural domains were detected and renamed based on their locations on chromosomes within the sugar… More >

Deen Bandhu Dimri¹, Manisha Nigam^1,*, Naresh Singh¹, Shilpa Semwal¹, Marcello Iriti^2,3,*, Abhay Prakash Mishra⁴

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 1007-1027, 2025, DOI:10.32604/phyton.2025.061270 - 31 March 2025

Abstract Cornus capitata, commonly known as the Himalayan strawberry, is a dogwood species from the family Cornaceae. Dogwood plants have been used extensively to practice conventional medicine due to their biological activities; however, the mechanisms behind these activities, particularly in C. capitata, remain largely unexplored. This study focuses on the preliminary phytochemical screening, antioxidant activity, anti-diabetic potential, and antimicrobial profiling of different extracts (i.e., leaves, bark, and fruit) from C. capitata to evaluate its potential pharmaceutical and medicinal applications. The in-vitro antioxidant activity was evaluated using 1,1-diphenyl-2-picrylhydrazyl (DPPH) scavenging assay, Ferric-reducing antioxidant power (FRAP) assay, and Superoxide Anion Scavenging assay.… More > Graphic Abstract

Zhenyang He, Mengjun Tong^*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4301-4317, 2025, DOI:10.32604/cmc.2025.060550 - 06 March 2025

Abstract Tomato plant diseases often first manifest on the leaves, making the detection of tomato leaf diseases particularly crucial for the tomato cultivation industry. However, conventional deep learning models face challenges such as large model sizes and slow detection speeds when deployed on resource-constrained platforms and agricultural machinery. This paper proposes a lightweight model for detecting tomato leaf diseases, named LT-YOLO, based on the YOLOv8n architecture. First, we enhance the C2f module into a RepViT Block (RVB) with decoupled token and channel mixers to reduce the cost of feature extraction. Next, we incorporate a novel Efficient… More >

Xianfeng Zhou^1,2,*, Ruiju Sun¹, Zhaojie Zhang¹, Yuanyuan Song¹, Lijiao Jin¹, Lin Yuan³

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 503-519, 2025, DOI:10.32604/phyton.2025.060827 - 06 March 2025

Abstract An accurate and robust estimation of leaf chlorophyll content (LCC) is very important to better know the process of material and energy exchange between plants and the environment. Compared with traditional remote sensing methods, abundant research has made progress in agronomic parameter retrieval using different CNN frameworks. Nevertheless, limited reports have paid attention to the problems, i.e., limited measured data, hyperspectral redundancy, and model convergence issues, when concerning CNN models for parameter estimation. Therefore, the present study tried to analyze the effects of synthetic data size expansion employing a Gaussian process regression (GPR) model for… More >

Sally Negm¹, Badwy Mohdly², Motrih Al-Mutiry³, Wael Shehata⁴, Karima Ahmed⁵, Mohamed Abou-Zeid^2,*, Rana Elessawy⁶, Ashgan Abdel-Azim⁵, Amr Abdel-Fattah², Amani Omar Abuzaid⁷, Enas A. Almanzalawi⁷, Tahani M. Alqahtani⁷, Shouaa A. Alrobaish⁸, Diaa Abd El Moneim⁹, Ahmed M. Abbas^10,11, Mohammed O. Alshaharni¹⁰, Huda Alghamdi¹⁰, Shaimaa G. Salama¹², Kairy Amer⁵

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 347-377, 2025, DOI:10.32604/phyton.2025.057448 - 06 March 2025

Abstract Barley (Hordeum vulgare L.) is a significant global crop that thrives in various climatic and drought-stress conditions. Furthermore, increased drought intervals and more significant weather variability resulting from climate change can affect the severity of plant diseases. Therefore, two primary objectives of integrated disease management regarding climate change are identifying cultivars resistant to foliar diseases and understanding disease progression under abiotic stress. In the current study, we assessed the quantitative foliar disease resistance of 17 commercial barley cultivars under both normal and water stress conditions over two growing seasons (from 2020/21 to 2021/22). The findings demonstrated… More >

Abduladheem Fadhil Khudhur^*, Ayça Kurnaz Türkben, Sefer Kurnaz

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3805-3824, 2024, DOI:10.32604/cmc.2024.056941 - 19 December 2024

Abstract The fast growth in Internet-of-Vehicles (IoV) applications is rendering energy efficiency management of vehicular networks a highly important challenge. Most of the existing models are failing to handle the demand for energy conservation in large-scale heterogeneous environments. Based on Large Energy-Aware Fog (LEAF) computing, this paper proposes a new model to overcome energy-inefficient vehicular networks by simulating large-scale network scenarios. The main inspiration for this work is the ever-growing demand for energy efficiency in IoV-most particularly with the volume of generated data and connected devices. The proposed LEAF model enables researchers to perform simulations of… More >