Ahmed Mahmoud Ismail^1,*, Eman Said Elshewy², Ayman Y. Ahmed³, Hossam M. Darrag⁴

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3023-3045, 2025, DOI:10.32604/phyton.2025.067444 - 29 October 2025

Abstract Powdery mildew of cucumber (Cucumis sativus L.) is a destructive disease caused by Podosphaera xanthii (Castagne) U.Braun & Shishkoff. This study aimed to investigate the antifungal effect of extracts of Ulva lactuca, Spirulina platensis, and Nostoc muscorum against P. xanthii and to improve the physiological and morphological traits of cucumber under commercial greenhouse conditions. The chemical composition of the individual extracts from U. lactuca, S. platensis, and N. muscorum was analyzed utilizing High-performance Liquid Chromatography (HPLC) and Gas Chromatography/Mass spectrometry (GC/MS). Cucumber plants were sprayed twice with 5% of the crude extracts of U. lactuca, S. platensis, and N. muscorum and their mixture (U. lactuca, S. platensis, and N. muscorum).… More >

Farhat Abbas¹, Fahim Ullah Khan^1,2,*, Salem Al-Naemi³, Awni Al-Otoom¹, Ahmed T. Moustafa⁴, Khaled Shami¹

Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2911-2925, 2025, DOI:10.32604/phyton.2025.064239 - 30 September 2025

Abstract This study aimed to explore the relationship between Soil-Plant Analysis Development (SPAD) values and key environmental factors in cucumber (Cucumis sativus L.) cultivation in a greenhouse. SPAD values, indicative of chlorophyll content, reflect plant health and productivity. The analysis revealed strong positive correlations between SPAD values and both indoor light intensity (ILI, r = 0.59, p < 0.001) and outdoor light intensity (OLI, r = 0.62, p < 0.001), suggesting that higher light intensities were associated with enhanced SPAD values. In contrast, significant negative correlations were found between SPAD values and soil temperature at 15–30 cm depth… More >

Oscar Sariñana-Aldaco¹, Carmen Alicia Ayala-Contreras¹, Susana González-Morales², Gregorio Cadenas-Pliego³, Marissa Pérez-Alvarez³, América Berenice Morales-Díaz⁴, Dámaris Leopoldina Ojeda-Barrios⁵, José Gerardo Uresti-Porras⁶, Adalberto Benavides-Mendoza^7,*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2131-2153, 2025, DOI:10.32604/phyton.2025.067577 - 31 July 2025

Abstract Selenium (Se) is a nutrient that is considered beneficial for plants, because its improvement in growth, yield and quality helps plants to mitigate stress. The objective of this research was to evaluate the application of sodium selenite (Na₂SeO₃), nanoparticles (SeNPs) and microparticles (SeMPs) of Se in cucumber seedlings, via two experiments: one with seed priming and the other with foliar application of Se materials. The doses used were: 0, 0.1, 0.5, 1.0, 1.5 and 3.0 mg · L⁻¹, for each form of Se and for each form of application. Treatment 0 consisted of the application of… More >

Ji-Yuan Ding¹, Wang-Su Jeon², Sang-Yong Rhee^2,*, Chang-Man Zou^1,3

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3989-4014, 2024, DOI:10.32604/cmc.2024.057473 - 19 December 2024

Abstract In complex agricultural environments, cucumber disease identification is confronted with challenges like symptom diversity, environmental interference, and poor detection accuracy. This paper presents the DM-YOLO model, which is an enhanced version of the YOLOv8 framework designed to enhance detection accuracy for cucumber diseases. Traditional detection models have a tough time identifying small-scale and overlapping symptoms, especially when critical features are obscured by lighting variations, occlusion, and background noise. The proposed DM-YOLO model combines three innovative modules to enhance detection performance in a collective way. First, the MultiCat module employs a multi-scale feature processing strategy with… More >

Enyan Chen^1,#, Jingyu Jia^1,3,#, Jiaju Sun¹, Jie Wang², Xinxin Chen¹, Xin Li^1,3,4,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2837-2856, 2024, DOI:10.32604/phyton.2024.057932 - 30 November 2024

Abstract During post-harvest storage of Cucumis sativus fruit, the application of trypsin treatment could increase flavonoid compound levels and reduce oxidative damage. To investigate the mechanism of trypsin-induced flavonoid biosynthesis in C. sativus, we conducted a combined analysis of transcriptomics and widely targeted metabolomics. One hundred and seventy-five significantly different metabolites were obtained from metabolomics data. The kyoto encyclopedia of genes and genomes (KEGG) functional enrichment results indicated that these metabolites were mainly involved in the phenylpropanoid biosynthesis pathway. By combining the results of the weighted gene co-expression network analysis (WGCNA) with the 130 upregulated phenylpropanoid metabolites, 22… More >

Abdelhak Rhouma¹, Lobna Hajji-Hedfi^1,*, Nahla Alsayd Bouqellah^2,*, Pravin Babasaheb Khaire³, Samar Dali¹, Omaima Bargougui¹, Amira Khlif¹, Laith Khalil Tawfeeq Al-Ani⁴

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2857-2881, 2024, DOI:10.32604/phyton.2024.057591 - 30 November 2024

Abstract Beauveria bassiana and Metarhizium spp. are entomopathogenic fungi with potential applications beyond insect pest control, including plant disease suppression, plant growth promotion, and rhizosphere colonization. This study investigated the plant growth-promoting characteristics and extracellular enzyme activities of Metarhizium spp. and B. bassiana in relation to phytopathogen interactions and plant growth. Additionally, the efficacy of these fungi in mitigating damping-off and root rot caused by Rhizoctonia solani on cucumber plants was evaluated in vitro and in vivo. Results indicate that B. bassiana and M. anisopliae produce indole-3-acetic acid, hydrocyanic acid, and hydrolytic enzymes. Seed treatment with these fungi significantly reduced disease severity (3.85%–1.86%, respectively)… More >

Yue Chen^1,2,#, Huan Wang^1,#, Taibai Xu¹, Peng Zhou¹, Junsong Pan², Weiwei She^1,*, Weiwei Zhang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1059-1070, 2023, DOI:10.32604/phyton.2023.026486 - 06 January 2023

Abstract Fruit spine is an important quality trait of cucumber. To better understand the molecular basis of cucumber spine development and function, RNA-Seq was performed to identify differentially expressed genes (DEGs) in fruit spines of different development stages, namely, 8 days before anthesis (SpBA8), anthesis (SpA) and 8 days after anthesis (SpAA8). Stage-wise comparisons obtained 2,259 (SpBA8 vs. SpA), 4,551 (SpA vs. SpAA8), and 5,290 (SpBA8 vs. SpAA8) DEGs. All the DEGs were classified into eight expression clusters by trend analysis. Among these DEGs, in addition to the Mict, Tril, CsTTG1, CsMYB6, NS, and Tu genes that have been reported to More >

YOLANDA GONZÁLEZ-GARCÍA¹, VALERIA FLORES-ROBLES², GREGORIO CADENAS-PLIEGO³, ADALBERTO BENAVIDES-MENDOZA⁴, MARCELINO CABRERA DE LA FUENTE⁴, ALBERTO SANDOVAL-RANGEL⁴, ANTONIO JUÁREZ-MALDONADO^1,*

BIOCELL, Vol.46, No.11, pp. 2497-2506, 2022, DOI:10.32604/biocell.2022.021861 - 07 July 2022

Abstract The metabolic activity of the fruits continues even after harvest, which results in the loss of bioactive compounds, a decrease in the quality of the fruits, softening and browning, among other negative effects. The use of certain elements such as silicon can improve postharvest quality, since it is involved in the metabolic, physiological and structural activity of plants, moreover can increase the quality of the fruits. In addition, nanotechnology has had a positive impact on crop yield, nutritional value, fruit quality and can improve antioxidant activity. For these reasons, the use of beneficial elements such… More >

Nazar Hussain¹, Muhammad Attique Khan¹, Usman Tariq², Seifedine Kadry^3,*, MuhammadAsfand E. Yar⁴, Almetwally M. Mostafa⁵, Abeer Ali Alnuaim⁶, Shafiq Ahmad⁷

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3281-3294, 2022, DOI:10.32604/cmc.2022.019036 - 27 September 2021

Abstract Agriculture is an important research area in the field of visual recognition by computers. Plant diseases affect the quality and yields of agriculture. Early-stage identification of crop disease decreases financial losses and positively impacts crop quality. The manual identification of crop diseases, which are mostly visible on leaves, is a very time-consuming and costly process. In this work, we propose a new framework for the recognition of cucumber leaf diseases. The proposed framework is based on deep learning and involves the fusion and selection of the best features. In the feature extraction phase, VGG (Visual… More >

JOEL ARNEODO*, SOLEDAD DE BREUIL*, SERGIO LENARDON**, LUIS CONCI**

BIOCELL, Vol.29, No.2, pp. 205-207, 2005, DOI:10.32604/biocell.2005.29.205

Abstract Plants of Viola cornuta displaying typical virus symptoms were observed during spring 2003 in a plant nursery in Córdoba, central Argentina. Electron microscopic examinations of symptomatic leaf samples revealed the presence of isometric virus-like particles about 30 nm in diameter. Subsequent serological analysis allowed the identification of the pathogen as a subgroup I strain of Cucumber mosaic virus (CMV). These results were confirmed by antigen capture - reverse transcription - polymerase chain reaction with specific CMV primers, and digestion with a restriction enzyme. This is the first report of CMV infecting V. cornuta in Argentina. More >