Nouh Sabri Elmitwally^1,2, Maria Tariq^3,4, Muhammad Adnan Khan^5,*, Munir Ahmad³, Sagheer Abbas³, Fahad Mazaed Alotaibi⁶

Computer Systems Science and Engineering, Vol.42, No.3, pp. 1001-1014, 2022, DOI:10.32604/csse.2022.022017

Abstract In the agricultural industry, rice infections have resulted in significant productivity and economic losses. The infections must be recognized early on to regulate and mitigate the effects of the attacks. Early diagnosis of disease severity effects or incidence can preserve production from quantitative and qualitative losses, reduce pesticide use, and boost ta country’s economy. Assessing the health of a rice plant through its leaves is usually done as a manual ocular exercise. In this manuscript, three rice plant diseases: Bacterial leaf blight, Brown spot, and Leaf smut, were identified using the Alexnet Model. Our research shows that any reduction in… More >

Yuting Luan¹, Cong Xu¹, Xiaoxiao Wang¹, Daqiu Zhao¹, Jun Tao^1,2,*

Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 1045-1059, 2022, DOI:10.32604/phyton.2022.018767

Abstract The definition of relatively stable expressed internal reference genes is essential in both traditional blotting quantification and as a modern data quantitative strategy. Appropriate internal reference genes can accurately standardize the expression abundance of target genes to avoid serious experimental errors. In this study, the expression profiles of ten candidate genes, ACT1, ACT2, GAPDH, eIF1, eIF2, α-TUB, β-TUB, TBP, RNA Pol II and RP II, were calculated for a suitable reference gene selection in Paeonia ostii T. Hong et J. X. Zhang leaves under various drought stress conditions. Data were processed by the four regularly used evaluation software. A comprehensive… More >

IVY LEUNG¹, MARIA-LUISA VEISAGA², MARGARITA ESPINAL¹, WEI ZHANG¹, ROBERT BARNUM¹, MANUEL ALEJANDRO BARBIERI^1,2,3,4,*

BIOCELL, Vol.46, No.3, pp. 567-578, 2022, DOI:10.32604/biocell.2022.014009

Abstract The Annona genus is a member of Annonaceae, one of the largest families of plants across tropical and sub-tropical regions. This family has been used in several ethnomedicinal practices to treat a multitude of human diseases. However, the molecular mechanism underlying its effect on the lipid droplet formation and on the expression of adipogenic markers of this plant remain to be investigated. In this study, we examined whether the extracts from the aerial part of Annona montana affect in vitro differentiation of preadipocytes. For our investigations, both mouse embryo fibroblast 3T3-L1 and normal human primary subcutaneous preadipocytes were incubated with… More >

Swati Singh¹, Isha Gupta², Sheifali Gupta², Deepika Koundal^3,*, Sultan Aljahdali⁴, Shubham Mahajan⁵, Amit Kant Pandit⁵

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1849-1866, 2022, DOI:10.32604/cmc.2022.021875

Abstract In Agriculture Sciences, detection of diseases is one of the most challenging tasks. The mis-interpretations of plant diseases often lead to wrong pesticide selection, resulting in damage of crops. Hence, the automatic recognition of the diseases at earlier stages is important as well as economical for better quality and quantity of fruits. Computer aided detection (CAD) has proven as a supportive tool for disease detection and classification, thus allowing the identification of diseases and reducing the rate of degradation of fruit quality. In this research work, a model based on convolutional neural network with 19 convolutional layers has been proposed… More >

José Vulfrano González-Fernández^1,*, Diego David Pinzón-Moreno¹, Antony Alexander Neciosup-Puican², María Verónica Carranza-Oropeza¹

Journal of Renewable Materials, Vol.10, No.3, pp. 833-847, 2022, DOI:10.32604/jrm.2021.017377

Abstract ZnO nanoparticles (ZnO-NP) present innovative optical, electrical, and magnetic properties that depend on specific characteristics, e.g., size, distribution, and morphology. Thus, these properties are essential to address various applications in areas such as electronics, medicine, energy, and others. In addition, the performance of this ZnONP depends of their preparation which can be done by chemical, physical, and biological methods. Meanwhile, nowadays, the main interest in developing ZnO-NP synthesis through biological methods bases on the decrease of use of toxic chemicals or energy applied to the procedures, making the process more cost-effective and environmentally friendly. However, the large-scale production of nanoparticles… More >

Wei Yang, Yuke Lin, Yanbin Xue, Meiqin Mao, Xuzixing Zhou, Hao Hu, Jiawen Liu, Lijun Feng, Huiling Zhang, Jiaheng Luo, Jun Ma^*

Phyton-International Journal of Experimental Botany, Vol.91, No.2, pp. 333-348, 2022, DOI:10.32604/phyton.2022.016862

Abstract Ananas comosus var. bracteatus is an important ornamental plant because of its green/white chimeric leaves. The accumulation of anthocyanin makes the leaf turn to red especially in the marginal part. However, the red fades away in summer and winter. Light intensity is one of the most important factors affecting leaf color along the seasons. In order to understand the effects of light intensity on the growth and coloration of the chimeric leaves, Ananas comosus var. bracteatus was grown under full sunlight, 50% shade and 75% shade for 75 days to evaluate the concentration of pigments, the color parameters (values L*,… More >

Olha Mykhailenko^1,*, Ivan Bezruk¹, Victoriia Volochai², Volodymyr Mishchenko³, Liudas Ivanauskas⁴, Victoriya Georgiyants¹

Phyton-International Journal of Experimental Botany, Vol.91, No.1, pp. 207-221, 2022, DOI:10.32604/phyton.2022.016458

Abstract The numerous studies indicate leaves of plants are a rich source of bioactive compounds that can be a valuable source of compounds used in the pharmaceutical and cosmetic industries. Aim of this study was to investigate the chemical composition and the antioxidant property of Crocus speciosus leaves. Primary phytochemical screening of C. speciosus leaves revealed the presence of some following compound categories such as phenolic compounds, aminoacids, saponins, proteins, tannins, triterpenoids, glycosides, polysaccharides. The total flavonoids and phenolic compounds content were determined spectrophotometrically and by HPLC-DAD and HPLC-MS. Antiradical activity was determined by ABTS radical-cation scavenging method, spectrophotometrically. The total… More >

Xin Li, Feiya Liao, Qiqi Ma, Beibei Jiang^*, Yuanzhi Pan, Cheng Luo, Xinjie Wang, Aining Ran

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1415-1423, 2021, DOI:10.32604/phyton.2021.016143

Abstract Chrysanthemum is one of the most important ornamental flowers in the world, and temperature has a significant influence on its field production. In the present study, differentially expressed proteins were investigated in the leaves of Dendranthema grandiflorum ‘Jinba’ under high temperature stress using label-free quantitative proteomics techniques. The expressed proteins were comparatively identified and analyzed. A total of 1,463 heat-related, differentially expressed proteins were successfully identified by Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS), and 1,463 heat-related, differentially expressed proteins were successfully identified by mass spectrometry after a high temperature treatment. Among these, 701 proteins were upregulated and 762 proteins were downregulated.… More >

Maricela Apáez-Barrios¹, José Alberto Salvador Escalante-Estrada², Patricio Apáez-Barrios^1,*, Yurixhi Atenea Raya-Montaño³, Juan Carlos Álvarez-Hernández¹

Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1193-1203, 2021, DOI:10.32604/phyton.2021.014567

Abstract Chickpea contains high levels of protein, vitamins and minerals. Acceptable chickpea yield is the result of meeting nitrogen and phosphorus requirements. The effect of appropriately meeting such requirements reflects on growth and can easily be evaluated using growth analysis. This research determined: (a) The effect of nitrogen and phosphorus fertilization on phenology, net assimilation rate, number of green leaves, leaf area, leaf area index and leaf area duration; (b) Green chickpea yield and number of pods due to fertilization; and (c) The combination of nitrogen and phosphorus fertilization that yields the most net revenue. Nitrogen and phosphorus fertilization was evaluated;… More >

Mangena Venu Madhavan¹, Dang Ngoc Hoang Thanh², Aditya Khamparia^1,*, Sagar Pande¹, Rahul Malik¹, Deepak Gupta³

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2939-2955, 2021, DOI:10.32604/cmc.2021.012466

Abstract Disease recognition in plants is one of the essential problems in agricultural image processing. This article focuses on designing a framework that can recognize and classify diseases on pomegranate plants exactly. The framework utilizes image processing techniques such as image acquisition, image resizing, image enhancement, image segmentation, ROI extraction (region of interest), and feature extraction. An image dataset related to pomegranate leaf disease is utilized to implement the framework, divided into a training set and a test set. In the implementation process, techniques such as image enhancement and image segmentation are primarily used for identifying ROI and features. An image… More >