Shafiul Islam, Lutful Hassan, Mohammad Anwar Hossain

Phyton-International Journal of Experimental Botany, Vol.91, No.1, pp. 97-114, 2022, DOI:10.32604/phyton.2022.017251 - 16 August 2021

Abstract Tomato (Solanum lycopersicum L.) is called ‘the poor man’s orange’ due to its low price and improved nutritional values. An experiment was conducted to study the breeding potential of some exotic tomato lines by assessing various qualitative and quantitative traits conferring yield and quality attributes. Among the qualitative traits, greater variability was observed for growth type, stem hairiness, and fruit shape and size. A determinate growth habit was observed in the genotype AVTO9802 while the genotype AVTO0102 produced yellow color fruits. A significant (p ≤ 0.01) variation was also observed for the studied quantitative traits. Based on… More >

Ali Abdelmoteleb¹, Daniel Gonzalez-Mendoza^2,*, Ahmed Mohamed Elbaalawy³

Phyton-International Journal of Experimental Botany, Vol.91, No.1, pp. 21-32, 2022, DOI:10.32604/phyton.2022.016227 - 16 August 2021

Abstract The salinity stress is one of the most relevant abiotic stresses that affects the agricultural production. The present study was performed to study the improvement of the salt tolerance of tomato plants which is known for their susceptibility to salt stress. The present study aimed to assess to what extent strain Azospirillum brasilense (N040) and Saccharomyces cerevisiae improve the salt tolerance to tomato plants treated with different salt concentration. The inoculant strain A. brasilense (N040) was previously adapted to survive up to 7% NaCl in the basal media. A greenhouse experiment was conducted to evaluate the effect of… More >

Wan Hyun Cho¹, Sang Kyoon Kim², Myung Hwan Na¹, In Seop Na^3,*

CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 4003-4024, 2021, DOI:10.32604/cmc.2021.018758 - 24 August 2021

Abstract Fruit processing devices, that automatically detect the freshness and ripening stages of fruits are very important in precision agriculture. Recently, based on deep learning, many attempts have been made in computer image processing, to monitor the ripening stage of fruits. However, it is time-consuming to acquire images of the various ripening stages to be used for training, and it is difficult to measure the ripening stages of fruits accurately with a small number of images. In this paper, we propose a prediction system that can automatically determine the ripening stage of fruit by a combination… More >

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 >