Yueying Liu^#, Yuqing Wang^#, Lijiao Gu^*

Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 2937-2946, 2023, DOI:10.32604/phyton.2023.043306

Abstract WRKY transcription factors play important roles in plant growth, development, and stress responses. Our previous research has shown that the GhWRKY91 gene can delay age-, abscisic acid (ABA)-, and drought-induced leaf senescence when overexpressed in transgenic Arabidopsis plants. To explore in more depth the biological functions of the GhWRKY91 gene, we further observed the root growth of overexpressing transgenic Arabidopsis thaliana under ABA and drought treatment. In this study, we transplanted the germinated seeds of wild-type (WT) and three transgenic lines (OE-12, OE-13 and OE-20) to 1/2 MS solid medium containing ABA and different concentrations of mannitol (simulated drought treatment)… More >

Ain Raal^1,*, Linda Rusalepp², Tatiana Chiru³, Nicolae Ciobanu³, Kelly Talvistu¹, Michelle Shusta¹, Oleh Koshovyi^1,4, Tõnu Püssa²

Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 2965-2979, 2023, DOI:10.32604/phyton.2023.042723

Abstract The fruits of the Sea buckthorn (Hippophae rhamnoides L.) are a popular plant food and a valuable health product. Cultivating plants produces a lot of leaves with fine branches as an unnecessary residue, which needs valorization. The aim of the study was to estimate (by HPLC-MS/MS) the qualitative and quantitative content of polyphenolic compounds in different parts of H. rhamnoides (HR), and to determine the level of antioxidant activity of leaves and fruits (by DPPH, ABTS methods and ferrozine test). Up to 19 compounds were identified in different parts of HR. The fruits are rich in flavonoids, including various glycosides… More >

Lulu Zhi, Xiangyang Hu^*

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2825-2840, 2023, DOI:10.32604/phyton.2023.030912

Abstract Plant regeneration is a self-repair of the plant body in response to adverse conditions or damaged structures, and root regeneration allows the plant body to better adapt to its environment by supplementing the roots’ structure. Previous research has shown that adventitious roots can be made to occur from scratch in two ways. Studies that simulate adventitious root regeneration through natural conditions allow the regeneration process to be broadly divided into three stages: the perception of early signals, the massive accumulation of auxin, and the transformation of cell fate. The strength of regeneration, in turn, is influenced by wounding, stress, hormones,… More >

Ruoyi Ni^#, Hao Dou^#, Shuwen Bi, Tiantian Wang, Jin’e Quan^*, Xitian Yang^*

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2907-2920, 2023, DOI:10.32604/phyton.2023.030689

Abstract The objective of this study was to investigate the effects of root cutting stress on the dynamic changes of endogenous hormone content and growth characteristics of Quercus variabilis roots, and to explore the physiological role of endogenous hormones in regulating root-crown interactions in the short term. The morphological characteristics and endogenous hormone contents of normal roots (no root cutting, CK) and cut roots (cut by 1/3 of the length of the main root, RP) were determined by liquid chromatography, which was combined with mass spectrometry at different levels of different developmental stages. The results showed that the root growth indexes… More >

Zijian Cao^#, Guoxia Xue^#, Lingfeng Hu, Haoxian Qu, Shuang Liang, Jisen Shi, Jinhui Chen^*, Zhaodong Hao^*

Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2383-2397, 2023, DOI:10.32604/phyton.2023.029845

Abstract The auxin polar transporter, PIN-FORMED 2 (PIN2) plays an important role in root development. However, it remains unclear whether PIN2 genes form two Liriodendron species, L. chinense (LcPIN2) and L. tulipifera (LtPIN2), are both involved in root development and whether and to what extent these two genes diverge in function. Here, we cloned and overexpressed LcPIN2 and LtPIN2 in Arabidopsis thaliana wild-type (WT) and Atpin2 mutant. Phylogenetic and sequence analysis showed a small degree of differentiation between these two Liriodendron PIN2 genes. Tissue-specific gene expression analysis indicated that both Liriodendron PIN2 genes were highly expressed in roots, implying a potential… More >

Abhishek Dasore^a,* , Tarun Polavarapu^b , Ramakrishna Konijeti^c , Naveen Puppala^d ,

Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-8, 2020, DOI:10.5098/hmt.14.23

Abstract The effect of air temperature on drying kinetics of red beetroot slices was investigated experimentally in a cabinet tray dryer. Drying was carried out at 70, 75, 80, and 85 ° More >

Aoqi Xu¹, Khalid A. Alattas², Nasreen Kausar³, Ardashir Mohammadzadeh⁴, Ebru Ozbilge^5,*, Tonguc Cagin⁵

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 17-32, 2023, DOI:10.32604/iasc.2023.036623

Abstract In many problems, to analyze the process/metabolism behavior, a model of the system is identified. The main gap is the weakness of current methods vs. noisy environments. The primary objective of this study is to present a more robust method against uncertainties. This paper proposes a new deep learning scheme for modeling and identification applications. The suggested approach is based on non-singleton type-3 fuzzy logic systems (NT3-FLSs) that can support measurement errors and high-level uncertainties. Besides the rule optimization, the antecedent parameters and the level of secondary memberships are also adjusted by the suggested square root cubature Kalman filter (SCKF).… More >

Shuang Zhao¹, Shenglan Chen², Shuan Ren¹, Gang Li³, Ke Song^1,4, Jie Guo^1,4, Shima Liu^1,4, Jian He^1,4, Xianwu Zhou^1,4,*

Journal of Renewable Materials, Vol.11, No.6, pp. 2531-2553, 2023, DOI:10.32604/jrm.2023.026066

Abstract Petroleum-based materials, such as plastic, are characterized by adverse environmental pollution; as a result, researchers have sought alternative degradable plastics that are environmentally friendly, such as polylactic acid (PLA). PLA has shown great potential to replace petroleum-based plastics. In this study, seven different samples of unmodified Pueraria lobata root powder (PRP) with different contents (i.e., 0, 5, 10, 15, 20, 25, and 30 wt%) and three different modified PRPs (i.e., treated with NaOH, NaOH-KH-550, and Formic) were used to reinforce polylactic acid (PLA) via solution casting process. These prepared PRP/PLA composite films were characterized using SEM, FTIR, UV-visible spectra analysis,… More > Graphic Abstract

Zhengguang Liu¹, Jun Yang¹, Tobi Fadiji², Zhiguo Li^1,*, Jiheng Ni³

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1071-1090, 2023, DOI:10.32604/phyton.2023.026408

Abstract Wind disturbance as a green method can effectively prevent the overgrowth of tomato seedlings, and its mechanism may be related to root system mechanics. This study characterized the biophysical mechanical properties of taproot and lateral roots of tomato seedlings at five seedling ages and seedling substrates with three different moisture content. The corresponding root system-substrate finite element (FE) model was then developed and validated. The study showed that seedling age significantly affected the biomechanical properties of the taproot and lateral roots of the seedlings and that moisture content significantly affected the biomechanical properties of the seedling substrate (p < 0.05).… More >

Ahmed Zohair Ibrahim^1,*, P. Prakash², V. Sakthivel², P. Prabu³

Computer Systems Science and Engineering, Vol.45, No.3, pp. 2447-2460, 2023, DOI:10.32604/csse.2023.030134

Abstract In order to research brain problems using MRI, PET, and CT neuroimaging, a correct understanding of brainfunction is required. This has been considered in earlier times with the support of traditional algorithms. Deep learning process has also been widely considered in these genomics data processing system. In this research, brain disorder illness incliding Alzheimer’s disease, Schizophrenia and Parkinson’s diseaseis is analyzed owing to misdetection of disorders in neuroimaging data examined by means fo traditional methods. Moeover, deep learning approach is incorporated here for classification purpose of brain disorder with the aid of Deep Belief Networks (DBN). Images are stored in… More >