Huiyun Li, Ye Liu, Sumei Chen, Jiafu Jiang, Aiping Song, Weimin Fang, Fadi Chen^*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.012361

Abstract Black spot disease, caused by the necrotrophic fungus Alternaria tenuissima (Fr.) Wiltsh (A. tenuissima), is considered a highly destructive disease of Chrysanthemum (Chrysanthemum morifolium Ramat.). A set of 17 accessions of commercial chrysanthemum cultivars were evaluated for resistance to A. tenuissima by seedling artificial inoculation. It was found that the reaction of the accessions to artificial inoculation ranged from resistant to highly susceptible. Five varieties of chrysanthemum (‘Zhongshan Taogui’, ‘Jinba’, ‘Zhongshan Jinguan’, ‘Jinling Wanhuang’ and ‘Jinling Yangguang’) were resistant; two varieties of chrysanthemum (‘Zhongshan Xinggui’ and ‘Zhongshan Jinkui’) were moderately resistant; and others were susceptible to various degrees, four varieties… More >

Sen Wang¹, Fei Zheng¹, Meijing Zhang¹, Jun Tu², Yanping Chen^1,3, Jianhua Yuan^1,3, Qingchang Meng^1,*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.011762

Abstract Endosperm mutants are critical to the studies on both starch synthesis and metabolism and genetic improvement of starch quality in maize. In the present study, a novel maize endosperm mutant A0178 of natural variation was used as the experimental material and identified and then characterized. Through phenotypic identification, genetic analysis, main ingredients measurement and embryo rescue, development of genetic mapping population from A0178, the endosperm mutant gene was located. The results showed that the mutant exhibited extremely low germination ability as attributed to the inhibited embryo development, and amounts of sugars were accumulated in the mutant seeds and more sugars… More >

Yinjie Wang, Yongxia Zhang, Qingquan Liu, Liangqin Liu, Suzhen Huang, Haiyan Yuan^*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.011545

Abstract Quantitative real-time PCR (qPCR) is an effective and widely used method to analyze expression patterns of target genes. Selection of stable reference genes is a prerequisite for accurate normalization of target gene expression by qRT-PCR. In Iris germanica L., no studies have yet been published regarding the evaluation of potential reference genes. In this study, nine candidate reference genes were assessed at different flower developmental stages and in different tissues by four different algorithms (GeNorm, NormFinder, BestKeeper, and RefFinder). The results revealed that ACT11 (Actin 11) and EF1α (Elongation factor 1 alpha) were the most stable reference genes in different… More >

Abdulrahman Alasmari^*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.010952

Abstract In the Kingdom of Saudi Arabia (KSA), thousands of plants are considered to have therapeutic value. The ambiguous use of identification mainly morphological characteristics of many plants has resulted in the adulteration and displacement of plant products which undermine their therapeutic value and weak documentation of plant resources. The aims of this study were therefore to evaluate genetic variability and explore the phylogeographic architecture for Saudi medicinal plant samples using rbcL and matK genes as barcodes for genomic identification. The matK and rbcL sequences collected for these samples were used as key markers for examining the relationship between Saudi medicinal… More >

Jaswinder Kaur¹, Manish Vyas², Joginder Singh¹, Ram Prasad^3,*, Jeena Gupta^1,*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.09420

Abstract In recent years, there has been an increase in epidemiological studies to highlight the health benefits of plant secondary metabolites. Flavonoids (polyphenolic plant secondary metabolites) are recently emerging as an important source for the discovery of new drugs increasing their pharmaceuticals, nutraceutical and medicinal applications. Naringenin is a flavanone, enriched in citrus fruits, tomatoes, bergamot, etc. which has been evaluated extensively for managing diabetes. However, in addition to this, naringenin had been ascribed to various important biological activities like antioxidant, antiviral, anticancer, anti-inflammatory, antiestrogenic, etc. This article aims at highlighting the therapeutic value of naringenin in managing disorders other than… More >

Panagiotis G. Asteris^1,*, Maria G. Douvika¹, Chrysoula A. Karamani¹, Athanasia D. Skentou¹, Katerina Chlichlia², Liborio Cavaleri³, Tryfon Daras⁴, Danial J. Armaghani⁵, Theoklis E. Zaoutis⁶

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.013280

Abstract The modeling and risk assessment of a pandemic phenomenon such as COVID-19 is an important and complicated issue in epidemiology, and such an attempt is of great interest for public health decision-making. To this end, in the present study, based on a recent heuristic algorithm proposed by the authors, the time evolution of COVID-19 is investigated for six different countries/states, namely New York, California, USA, Iran, Sweden and UK. The number of COVID-19-related deaths is used to develop the proposed heuristic model as it is believed that the predicted number of daily deaths in each country/state includes information about the… More >

Chaosheng Tang¹, Deepak Ranjan Nayak², Shuihua Wang^1,3,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.011069

Abstract Hearing loss (HL) is a kind of common illness, which can significantly reduce the quality of life. For example, HL often results in mishearing, misunderstanding, and communication problems. Therefore, it is necessary to provide early diagnosis and timely treatment for HL. This study investigated the advantages and disadvantages of three classical machine learning methods: multilayer perceptron (MLP), support vector machine (SVM), and least-square support vector machine (LS-SVM) approach and made a further optimization of the LS-SVM model via wavelet entropy. The investigation illustrated that themultilayer perceptron is a shallowneural network,while the least square support vector machine uses hinge loss function… More >

Fei Yang^1,2,#, Xiaoqing Zhang^1,*,#, Yong Zhu³

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.010798

Abstract Heart arrhythmia is a group of irregular heartbeat conditions and is usually detected by electrocardiograms (ECG) signals. Over the past years, deep learning methods have been developed to classify different types of heart arrhythmias through ECG based on computer-aided diagnosis systems (CADs), but these deep learning methods usually cannot trade-off between classi More >

Shusheng Xiong¹, Defeng Xuan², Yonggen Zhang², Zhankuan Wu¹, Wei Li^1,*, Zhaohan Hu¹, Jing Xu¹

Energy Engineering, Vol., , DOI:10.32604/EE.2020.011975

Abstract This research studied catalytic reforming mechanism of low concentration alcohol, analyzed the producing conditions and influencing factors of a mixture of combustible gas, took an analysis towards the composition of the mixture produced by reforming, and studied the respective effects of temperature, traffic, alcohol concentration and catalyst on the components of mixed gas. It is found that, under different working conditions of the engine, the external condition of the reforming reaction changes, and the composition of the reforming gas will differ as well. As a result, the optimum air-fuel ratio of the engine must at the same time adapt to… More >

Emine Aslan, Dogan Arslan^*

Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2020.010835

Abstract The present study was conducted to determine the total hypericin contents of Hypericum triquetrifolium Turra. and Hypericum scabrum L. species which are naturally distributed in the flora of Siirt province, Turkey. Hypericin contents of Hypericum species grown in different geographical aspects (North, South, East, and West), and it was measured at different harvest times (full blooming and post blooming period). In the current study, it has been determined that total hypericin content varies considerably according to aspects, plant developmental stages (ontogenetic variance), and species. According to species x aspect interaction, the highest total hypericin content was recorded from the west… More >