Linjun Cai^1,#, Junhua Liu^2,#, Han Yun¹, Dan Du¹, Xiaolong Zhong¹, Zhenlin Yang¹, Xianchun Sang¹, Changwei Zhang^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1103-1117, 2021, DOI:10.32604/phyton.2021.015532 - 27 April 2021

Abstract Leaf color mutants are ideal materials for studying many plant physiological and metabolic processes such as photosynthesis, photomorphogenesis, hormone physiology and disease resistance. In this study, the genetically stable yellow-green leaf mutant ygl16 was identified from mutated “Xinong 1B”. Compared with the wild type, the pigment concentration and photosynthetic capacity of the ygl16 decreased significantly. The ultrastructural observation showed that the distribution of thylakoid lamellae was irregular in ygl16 chloroplasts, and the grana and matrix lamellae were blurred and loose in varied degrees, and the chloroplast structure was disordered, while the osmiophilic corpuscles increased. The results of More >

THARANGANI WELEGAMA¹, MOHD Y. RAFII^1,2,*, KHAIRULMAZMI AHMAD^1,3, SHAIRUL I. RAMLEE^1,2, YUSUFF OLADOSU¹

BIOCELL, Vol.45, No.4, pp. 1069-1079, 2021, DOI:10.32604/biocell.2021.014354 - 22 April 2021

Abstract Tomato (Solanum lycopersicum L.) belonging to the family Solanaceae is the second most consumed and cultivated vegetable globally. Since the ancient time of its domestication, thousands of cultivated tomato varieties have been developed targeting an array of aspects. Among which breeding for yield and yield-related traits are mostly focused. Cultivated tomato is extremely genetically poor and hence it is a victim for several biotic and abiotic stresses. Among the biotic stresses, the impact of viral diseases is critical all over tomato cultivating areas. Improvement of tomato still largely rely on conventional methods worldwide while molecular approaches, More >

Nguyen Thi Thanh Thuy^1,*, Le Hoang Huy¹, Truong Thuy Vy¹, Nguyen Thi Thanh Tam², Bien Thi Lan Thanh¹, Nguyen Thi My Lan³

Journal of Renewable Materials, Vol.9, No.8, pp. 1393-1411, 2021, DOI:10.32604/jrm.2021.015772 - 08 April 2021

Abstract In the present study, the biogenic silver nanoparticles have been synthesized using aqueous leaf extract of Plectranthus amboinicus (PA), which acted as both reducing and stabilizing agents. The PA synthesized silver nanoparticles were blended with carboxymethyl cellulose/polyvinyl alcohol (CMC/PVA) biocomposite. The prepared AgNPs as well as the biogenic AgNPs incorporated CMC/PVA films were investigated using UV-visible spectrophotometry, Fourier-transform infrared spectroscopy (FT-IR), dynamic light scattering (DLS), scanning electron microscope (SEM), and X–ray diffraction (XRD). The DLS results showed that biogenic AgNPs had the average particle size of 65.70 nm with polydispersity index of 0.44. The surface plasmon… More > Graphic Abstract

Yang Wu¹, Lihong Xu^1,*, Erik D. Goodman²

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 561-576, 2021, DOI:10.32604/iasc.2021.016415 - 01 April 2021

Abstract Deep convolutional neural network (DCNN) requires a lot of data for training, but there has always been data vacuum in agriculture, making it difficult to label all existing data accurately. Therefore, a lightweight tomato leaf disease identification network supported by Variational auto-Encoder (VAE) is proposed to improve the accuracy of crop leaf disease identification. In the lightweight network, multi-scale convolution can expand the network width, enrich the extracted features, and reduce model parameters such as deep separable convolution. VAE makes full use of a large amount of unlabeled data to achieve unsupervised learning, and then… More >

Shankarnarayanan Nalini^1,*, Nagappan Krishnaraj², Thangaiyan Jayasankar³, Kalimuthu Vinothkumar⁴, Antony Sagai Francis Britto⁵, Kamalraj Subramaniam⁶, Chokkalingam Bharatiraja⁷

CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1117-1128, 2021, DOI:10.32604/cmc.2021.012431 - 22 March 2021

Abstract Precision Agriculture is a concept of farm management which makes use of IoT and networking concepts to improve the crop. Plant diseases are one of the underlying causes in the decrease in the number of quantity and quality of the farming crops. Recognition of diseases from the plant images is an active research topic which makes use of machine learning (ML) approaches. A novel deep neural network (DNN) classification model is proposed for the identification of paddy leaf disease using plant image data. Classification errors were minimized by optimizing weights and biases in the DNN… More >

Kazunori Shinohara^*

CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 275-292, 2021, DOI:10.32604/cmes.2021.012383 - 22 December 2020

Abstract A lemniscate is a curve defined by two foci, F₁ and F₂. If the distance between the focal points of F₁ − F₂ is 2a (a: constant), then any point P on the lemniscate curve satisfy the equation PF₁ · PF₂ = a². Jacob Bernoulli first described the lemniscate in 1694. The Fagnano discovered the double angle formula of the lemniscate (1718). The Euler extended the Fagnano’s formula to a more general addition theorem (1751). The lemniscate function was subsequently proposed by Gauss around the year 1800. These insights were summarized by Jacobi as the theory of elliptic functions.… More >

Ruitao Lou¹, Daoxi Li^1,*, Yanbin Li¹, Zepeng Bian¹, Yanan Zhu²

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 245-257, 2021, DOI:10.32604/phyton.2020.014073 - 20 November 2020

Abstract A drought event can cause yield loss or entire crops to fail. In order to study the effects of continuous drought on physiological characteristics, yield, and water use efficiency (WUE) of winter wheat (Triticum aestivum L.), the variety “Zhoumai 22” was grown in controlled water conditions of the pot-planted winter wheat under a mobile rainout shelter. Foot planting and safe wintering were used to evaluate, winter wheat under different drought conditions, including light, moderate and severe drought at the jointing, heading, and filling stages. The soil water content was controlled at 60–70%, 50–60%, or 40–50% of… More >

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

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 851-859, 2020, DOI:10.32604/phyton.2020.012361 - 09 November 2020

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 More >

Bengang Zhang^1,2,#, Xuedong Xi^3,#, Zhigang Wu^1,*, Hong Lei^2,*, Lifen Li¹, Meifen Tian¹

Journal of Renewable Materials, Vol.8, No.11, pp. 1429-1441, 2020, DOI:10.32604/jrm.2020.011985 - 28 September 2020

Abstract According to the preparation method commonly used for soy proteinbased adhesives, alfalfa leaf protein was used as the raw material to prepare alfalfa leaf protein-based wood adhesive. Differential scanning calorimetry analyzer (DSC), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR) were used to characterize properties of the alfalfa leaf protein-based adhesive in this paper. The results revealed the following: (1) Chemical compositions and chemical structures of the alfalfa leaf protein were basically identical with those of the soy protein, both belonging to spherical proteins with the basis and potential for protein adhesives preparation, and… More >

Rogelio Solorzano-Toala¹, Daniel Gonzalez-Mendoza^2,*, Benjamin Valdez-Salas³, Vianey MendezTrujillo⁴, Federico Gutierrez-Miceli¹, Ernesto Beltran-Partida³, Olivia Tzintzun-Camacho²

Journal of Renewable Materials, Vol.8, No.9, pp. 1129-1137, 2020, DOI:10.32604/jrm.2020.09845 - 03 August 2020

Abstract The aim of this study was the synthesis of silver nanoparticle using Annona diversifolia Safford. The silver nanoparticles obtained were analyzed by spectroscopic methods and dynamic light scattering methods. The inhibition of AgNPs was evaluated against Bacillus cereus, Klebsiella pneumoniae and Enterobacter aerogenes. The results showed that AgNPs have high values at 3 keV and particle size between 45 to 58 nm with a homogenous morphology. The AgNPs showed growth inhibition against Klebsiella pneumoniae and Enterobacter aerogenes. Therefore studies are needed to confirm the potential antimicrobial of different AgNP from A. diversifolia in Gram negative and Gram positive bacteria. More >