Xiaomei Zhang, Junliang Li, Bin Liang^*

Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1233-1246, 2021, DOI:10.32604/phyton.2021.014962 - 27 April 2021

Abstract Greenhouse vegetable cultivation (GVC) is an example of intensive agriculture aiming to increase crop yields by extending cultivation seasons and intensifying agricultural input. Compared with cropland, studies on the effects of farming management regimes on soil microorganisms of the GVC system are rare, and our knowledge is limited. In the present study, we assessed the impacts of different long-term fertilization regimes on soil fungal community structure changes in a greenhouse that has been applied in tomato (Solanum lycopersicum L.) cultivation for 11 consecutive years. Results showed that, when taking the non-fertilizer treatment of CK as a… More >

MOHAMMAD FAIZAN¹, AHMAD FARAZ², SHAMSUL HAYAT³, JAVAID A. BHAT^4,*, FANGYUAN YU^1,*

BIOCELL, Vol.45, No.4, pp. 1081-1093, 2021, DOI:10.32604/biocell.2021.015363 - 22 April 2021

Abstract Nanotechnology has greatly expanded the applications of nanoparticles (NPs) domain in the scientific field. In this context, the zinc oxide nanoparticles (ZnO-NPs) and 24-epibrassinolide (EBL) has been revealed to positively regulate plant metabolism and growth. In the present study, we investigated the role of ZnO-NPs and EBL in the regulation of plant growth, photosynthetic efficiency, enzymes activities and fruit yield in tomato. Foliar treatment of ZnO-NPs at three levels (10, 50 or 100 ppm) and EBL (10⁻⁸ M) were applied separately or in combination to the foliage of plant at 35–39 days after sowing (DAS); and… 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 >

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 >

Roberto Arredondo-Valdés¹, Francisco D. Hernández-Castillo², Mario Rocandio-Rodríguez¹, Julia C. Anguiano-Cabello³, Madai Rosas-Mejía¹, Venancio Vanoye-Eligio¹, Salvador Ordaz-Silva⁴, Imelda V. López-Sánchez⁴, Laura D. Carrazco-Peña⁴, Julio C. Chacón-Hernández^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.3, pp. 895-906, 2021, DOI:10.32604/phyton.2021.014301 - 30 March 2021

Abstract The tomato (Solanum lycopersicum L.) is one of the world’s most important vegetable crops. Still, phytopathogenic bacteria affect the yield and quality of tomato cultivation, like Agrobacterium tumefeciens (At), Clavibacter michiganensis subsp. michiganensis (Cmm), Pseudomonas syringae pv. tomato (Pst), Ralstonia solanacearum (Rs), and Xanthomonas axonopodis (Xa). Synthetic chemical products are used mostly on disease plant control, but overuse generates resistance to bacterial control. This study aimed to evaluate the in vitro antibacterial activity of the ethanolic extract of Moringa oleifera Lam. leaves against At, Cmm, Pst, Rs, and Xa, as well as information about this plant species’ chemical composition. Antibacterial activity against pathogens observed by microplate technique, phytochemical screening, More >

BEEMNET MENGESHA KASSAHUN^1,#, BEUM-CHANG KANG^2,#, SU-JI BAE², YE JIN NAM¹, GRETEL FONSECA MUNDO¹, GA-HUI KANG¹, KYOUNGOOK KIM³, JEUNG-SUL HAN^1,4,*

BIOCELL, Vol.45, No.1, pp. 199-215, 2021, DOI:10.32604/biocell.2021.012353 - 26 January 2021

Abstract Solanum lycopersicum ‘Heinz 1706’ is a pioneer model cultivar for tomato research, whose whole genome sequence valuable for genomics studies is available. Nevertheless, a genetic transformation procedure for this cultivar has not yet been reported. Meanwhile, various genome editing technologies such as transfection of clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) ribonucleoprotein complexes into cells are in the limelight. Utilizing the Cas9-expressing genotype possessing a reference genome can simplify the verification of an off-target effect, resolve the economic cost of Cas9 endonuclease preparation, and avoid the complex assembly process together with single-guide RNA (sgRNA) in… More >

Shaheen Khatoon^1,*, Md Maruf Hasan¹, Amna Asif¹, Majed Alshmari¹, Yun-Kiam Yap²

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 595-612, 2021, DOI:10.32604/cmc.2021.014580 - 12 January 2021

Abstract Tomato production is affected by various threats, including pests, pathogens, and nutritional deficiencies during its growth process. If control is not timely, these threats affect the plant-growth, fruit-yield, or even loss of the entire crop, which is a key danger to farmers’ livelihood and food security. Traditional plant disease diagnosis methods heavily rely on plant pathologists that incur high processing time and huge cost. Rapid and cost-effective methods are essential for timely detection and early intervention of basic food threats to ensure food security and reduce substantial economic loss. Recent developments in Artificial Intelligence (AI)… More >

XIAOLIN ZHU^1,3, XIAOHONG WEI^1,3,*, BAOQIANG WANG^2,3, XIAN WANG², MINGJUN ZHANG⁴

BIOCELL, Vol.44, No.4, pp. 777-803, 2020, DOI:10.32604/biocell.2020.010153 - 24 December 2020

Abstract AP2/ERE-type transcription factors, as a type of plant-specific transcription factors, play a key role in plant biotic and abiotic stress. Meanwhile, they have been studied in many plants, but rarely in tomatoes. In this study, we performed a genome-wide analysis of the SlAP2/ERF gene family of tomato, and finally identified 29 SlAP2/ERF genes and divided them into different subfamilies. At the same time, its basic physical and chemical properties were analyzed. We also constructed phylogenetic trees with 30 Arabidopsis AP2/ERF proteins and 28 potatoes AP2/ERF proteins to ensure conservative homology between them. In addition, we mapped… More >

Xiaolei Deng^a,b,c,*,† , Jin Wang^d , Jinyu Zhou^a, Hongcheng Shen^a, Zefeng Sheng^a, Jianglin Zhang^a, Xiaowen L^a, Changxiong Xie^a

Frontiers in Heat and Mass Transfer, Vol.12, pp. 1-6, 2019, DOI:10.5098/hmt.12.13

Abstract A hybrid cellular automaton model combined with finite element method for structural topology optimization with mechanical and heat constraints is developed. The effect of thermal stress on structural optimization is taken into account. Higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The validating studies of standard testing structure for topological optimization are carried out. The structure evolution, stress evolution and thermal evolution of topology optimization with mechanical and heat constraints are investigated. The results show the developed hybrid method is more efficient for structural More >

Xiaolei Deng^a,b,c,*, Jin Wang^d , Hongcheng Shen^a, Jinyu Zhou^a, Jianchen Wang^a,c, Changxiong Xie^a, Jianzhong Fu^b

Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-6, 2019, DOI:10.5098/hmt.13.13

Abstract A hybrid cellular automaton model combined with a finite element method for thermal topology optimization of spindle structure is developed. The higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The local sensitivity filtering algorithm and the weight approach are applied. The four validating studies of two-dimensional structure for thermal topology optimization are carried out. The structure evolution and thermal distribution evolution of thermal topology optimization are investigated. The results show the developed hybrid method is more efficient for thermal topology optimization. Meanwhile, the thermal More >