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

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

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 as silicon in the form… 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

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 Geometry Group) and Inception V3… 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 >