Fida Hussain^1,*, Farooq Khan², Javed Ahmad¹, Heqiang Huo³, Tao Jiang³, Iqrar Rana⁴, Sajida Habib⁵, Muhammad Umer Farooq^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3231-3249, 2025, DOI:10.32604/phyton.2025.069654 - 29 October 2025

Abstract The analysis of combining ability and heterosis is very important in enhancing the yield and oil quality of sunflowers under adverse conditions, and it reveals the potential of the parents and the mechanism of gene action. In this study, twenty-one hybrids were developed by crossing seven cytoplasmic male sterile (CMS) lines with three restorer lines and evaluated for agronomic and quality traits. Highly significant general combining ability (GCA) and specific combining ability (SCA) effects were observed, confirming the role of both additive and non-additive gene actions. Among the tested crosses, A-42 × R-86, A-92 ×… More >

Liangxiu Zhang¹, Qinghai Zhao^2,3,*, Feiteng Cheng¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2177-2199, 2025, DOI:10.32604/fdmp.2025.068499 - 30 September 2025

Abstract To advance the performance of solid oxide fuel cells (SOFCs), this work proposes a novel biomimetic flow field architecture inspired by the geometric arrangement of sunflower florets. Drawing on natural principles of optimal spatial distribution, a multi-physics simulation model of the resulting Sunflower Bionic Flow Field (SBFF) was developed. Building upon this foundation, an enhanced configuration was introduced by integrating an annular channel, yielding a modified variant referred to as Modified Sunflower Bionic Flow Field (MSBFF). For comparative purposes, a conventional Traditional Parallel Flow Field (TPFF) was also analyzed under identical conditions. Simulation results underscore… More >

Antonela Markulj Kulundžić^1,*, Daniela Horvat², Marija Kovačević Babić², Anto Mijić¹, Aleksandra Sudarić¹, Maja Matoša Kočar¹, Tomislav Duvnjak¹, Ivica Liović¹, Ivana Varga³, Marija Viljevac Vuletić^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2075-2095, 2025, DOI:10.32604/phyton.2025.065961 - 31 July 2025

Abstract Sunflower leaf photosynthesis strongly depends on the leaf position in the plant stem conditioning, which directly affects other physiological processes. Therefore, a study of the leaf’s physiological status regarding the leaf position in the stem was performed on sunflowers in the flowering stage. Eight differently positioned leaves were investigated, starting with the youngest leaf on the top of the stem to the leaves of the stem bottom, assigned as the oldest senescent leaves. According to chlorophyll fluorescence (ChlF) parameters connected to photosystem II (PSII) processes, significant changes in PSII functioning occurred only in the senescent… More >

Xianwen Ji^#, Ziying Jiang^#, Jichao Wang, Lili Dong, Xinyi Deng^*

Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1839-1850, 2024, DOI:10.32604/phyton.2024.052809 - 30 August 2024

Abstract Genes in the glycogen synthase kinase 3 (GSK3) family are essential in regulating plant response to stressful conditions. This study employed bioinformatics to uncover the GSK3 gene family from the sunflower genome database. The expressions of GSK3 genes in different tissues and stress treatments, such as salt, drought, and cold, were assessed using transcriptome sequencing and quantitative real-time PCR (qRT-PCR). The study results revealed that the 12 GSK3 genes of sunflower, belonging to four classes (Classes I–IV), contained the GSK3 kinase domain and 11–13 exons. The majority of GSK3 genes were highly expressed in the leaf axil and… More >

Abeer D. Algarni^*

Computer Systems Science and Engineering, Vol.47, No.1, pp. 1233-1247, 2023, DOI:10.32604/csse.2022.026915 - 26 May 2023

Abstract Exponential increase in the quantity of user generated content in websites and social networks have resulted in the emergence of web intelligence approaches. Several natural language processing (NLP) tools are commonly used to examine the large quantity of data generated online. Particularly, sentiment analysis (SA) is an effective way of classifying the data into different classes of user opinions or sentiments. The latest advances in machine learning (ML) and deep learning (DL) approaches offer an intelligent way of analyzing sentiments. In this view, this study introduces a web intelligence with enhanced sunflower optimization based deep… More >

Siwar Ben Haj Hassine¹, Saud S. Alotaibi², Hadeel Alsolai³, Reem Alshahrani⁴, Lilia Kechiche⁵, Mrim M. Alnfiai⁶, Amira Sayed A. Aziz⁷, Manar Ahmed Hamza^8,*

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6461-6477, 2022, DOI:10.32604/cmc.2022.032353 - 28 July 2022

Abstract Nowadays, vehicular ad hoc networks (VANET) turn out to be a core portion of intelligent transportation systems (ITSs), that mainly focus on achieving continual Internet connectivity amongst vehicles on the road. The VANET was utilized to enhance driving safety and build an ITS in modern cities. Driving safety is a main portion of VANET, the privacy and security of these messages should be protected. In this aspect, this article presents a blockchain with sunflower optimization enabled route planning scheme (BCSFO-RPS) for secure VANET. The presented BCSFO-RPS model focuses on the identification of routes in such More >

Shuai Wang, Zhihong Yu^*, Wenjie Zhang, Dongxu Zhao, Aorigele

Phyton-International Journal of Experimental Botany, Vol.91, No.11, pp. 2559-2582, 2022, DOI:10.32604/phyton.2022.021354 - 12 July 2022

Abstract

Sunflower (Helianthus annuus L.) is one of the four major oil crops in the world and has high economic value. However, the lack of discrete element method (DEM) models and parameters for sunflower seeds hinders the application of DEM for computer simulation in the key working processes of sunflower seed sowing and harvesting. The present study was conducted on two varieties of sunflower, and the DEM model of sunflower seeds was established by using 3D scanning technology based on the distribution of triaxial dimensions and volumes of the geometric model of sunflower seeds. Similarly, the physical

… More >

Sikander Hans¹, Smarajit Ghosh¹, Aman Kataria², Vinod Karar^2,*, Sarika Sharma³

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5073-5089, 2022, DOI:10.32604/cmc.2022.019971 - 11 October 2021

Abstract The current and future status of the internet is represented by the upcoming Internet of Things (IoT). The internet can connect the huge amount of data, which contains lot of processing operations and efforts to transfer the pieces of information. The emerging IoT technology in which the smart ecosystem is enabled by the physical object fixed with software electronics, sensors and network connectivity. Nowadays, there are two trending technologies that take the platform i.e., Software Defined Network (SDN) and IoT (SD-IoT). The main aim of the IoT network is to connect and organize different objects… More >

Mateusz Barczewski^1,*, Jacek Andrzejewski^1,*, Radomir Majchrowski², Kamil Dobrzycki¹, Krzysztof Formela³

Journal of Renewable Materials, Vol.9, No.5, pp. 841-853, 2021, DOI:10.32604/jrm.2021.014490 - 20 February 2021

Abstract Agricultural waste is a still untapped source of materials that can, in case of proper utilization, significantly improve the sustainability of polymers and their composites. In this work, polymer composites based on isotactic polypropylene were produced incorporating ground sunflower husk in the amount of 10 wt% and 20 wt%. The work’s main objective is to evaluate how preliminary fractioning of this agricultural waste filler affects the thermomechanical properties, microstructure and surface topology of polypropylene-based injection molded composites. The composites were analyzed for mechanical properties (tensile, impact strength and hardness), thermomechanical properties (Vicat softening point VST,… More >

Noor Ahmad^1,*, Rana Nadeem Abbas¹, Asif Tanveer¹, Zulfiqar Ahmad Saqib²

Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 727-742, 2020, DOI:10.32604/phyton.2020.08536 - 22 June 2020

Abstract Parthenium poses serious threat to modern crop production system and necessitate evaluating control practices for its effective management. Efficacy of different weed control practices for controlling parthenium was explored in conventional and deep tillage systems in the field conditions. Hand hoeing (20 and 35 days after emergence), S-Metolachlor (pre-emergence herbicide), sorghum straw mulch @ 5 tons ha^-1 and combination of hand hoeing and sorghum straw mulch (hand hoeing at 20 and straw mulch at 35 days after emergence) were used as weed control practice. Weedy check where no weed control measure was applied was also included… More >