HPLC and GC–MS analyses of phytochemical compounds in Haloxylon salicornicum extract: Antibacterial and antifungal activity assessment of phytopathogens DOI Creative Commons
Said I. Behiry, Eman A. Abdelwahab, Abdulaziz A. Al–Askar

et al.

Open Chemistry, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 1, 2024

Abstract The present study investigated the phytochemical constituents and antimicrobial effects of aqueous methanolic extract Haloxylon salicornicum against some phytopathogenic bacterial fungal strains. selected strains were Pectobacterium carotovorum , atrosepticum Ralstonia solanacearum Streptomyces scabiei while Fusarium oxysporum Botrytis cinerea Rhizoctonia solani. demonstrated significant efficacy P. at a concentration 1,000 µg/mL, resulting in inhibition zones measuring 12.3 11 mm, respectively. Furthermore, considerable effectiveness strains, achieving an impressive growth suppression rate 68.8% R. solani 5,000 µg/mL. high-performance liquid chromatography analysis identified nine notable phenolic compounds six common flavonoid extract. highest quantities gallic acid (6427.5 µg/g), vanillin (1145.4 chlorogenic (498.1 syringic (322.5 µg/g). Apigenin (1155.9 daidzein (460.9 quercetin (382.7 naringenin (160.4 µg/g) exhibited most concentrations compounds. Gas chromatography–mass spectrometry revealed that n -hexadecanoic (53.7%), 9-octadecenoic (26.9%), 9,12-octadecadienoic ( Z ) (8.67%), palmitic acid, TMS derivative (4.36%) predominant Consequently, H. could be used for first time as environmentally safe pesticide agent plant pathogens to reduce excessive use chemical pesticides.

Language: Английский

Bionanocomposites: A new approach for fungal disease management DOI

Mohd Rameez,

N. A. Khan,

Ahmad Salman

et al.

Biocatalysis and Agricultural Biotechnology, Journal Year: 2024, Volume and Issue: 57, P. 103115 - 103115

Published: March 22, 2024

Language: Английский

Citations

5
Fungal Pathogens of Peach Palm Leaf Spot in Thailand and Their Fungicide Sensitivity DOI Creative Commons

Prisana Wonglom,

Nakarin Suwannarach, Jaturong Kumla

et al.

Journal of Fungi, Journal Year: 2025, Volume and Issue: 11(4), P. 318 - 318

Published: April 17, 2025

Peach palm (Bactris gasipaes Kunth) is a long-lived tropical valued for its edible, nutritious fruits. The cultivation area of peach palm, which was introduced to Thailand fruit production, has been steadily expanding. Small brown spots that expanded into irregular lesions with dark margins were first observed on B. seedlings in commercial nurseries Phetchaburi Province, southern Thailand. To identify the causal pathogens, ten fungal isolates obtained from symptomatic leaves and subjected pathogenicity tests, confirming their ability cause disease. Morphological molecular analyses identified five as Colletotrichum fructicola (BGC02.2, BGC03) C. theobromicola (BGC01, BGC02.1, BGC04) Fusarium pernambucanum (BGF01, BGF02, BGF03, BGF04.1, BGF04.2). Phylogenetic analysis based act, cal, gapdh, ITS, tub2 regions spp. rpb2, tef1-α In vitro fungicide assays revealed most sensitive carbendazim, mancozeb, prochloraz, while F. effectively inhibited by mancozeb prochloraz. This study represents report fructicola, theobromicola, causing leaf spot disease Thailand, providing essential insights management strategies region.

Language: Английский

Citations

0
Optimizing Rice Plant Disease Classification Using Data Augmentation with GANs on Convolutional Neural Networks DOI Creative Commons
Tinuk Agustin, Indrawan Ady Saputro,

Mochammad Luthfi Rahmadi

et al.

INTENSIF Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, Journal Year: 2025, Volume and Issue: 9(1), P. 97 - 114

Published: Feb. 23, 2025

Background: Rice disease classification using CNN models faces challenges due to limited data, particularly in minority classes, and inconsistent image quality, which affect model performance. Data augmentation techniques can potentially enhance accuracy by improving data diversity quality. Objective: This study evaluates the effectiveness of techniques, specifically classical Deep Convolutional Generative Adversarial Networks (DCGAN), performance for rice classification. Methods: A quantitative was conducted four training scenarios: no augmentation, DCGAN a combination both. Model analyzed determine impact each technique. Results: The baseline achieved an 91.88%. Classical improved 2.56%, while led 5.44% increase. yielded highest 98.13%. Conclusion: significantly enhances classification, with combined approach proving be most effective. These findings highlight importance addressing limitations accuracy. Future research should explore additional strategies test across different datasets further validate its effectiveness.

Language: Английский

Citations

0
Microbial community composition and their activity against Phytophthora nicotianae at different growth stages of tobacco DOI Creative Commons

Mengyu Zhang,

Han Li, Pu Miao

et al.

Egyptian Journal of Biological Pest Control, Journal Year: 2024, Volume and Issue: 34(1)

Published: Nov. 27, 2024

Abstract Background Tobacco, an economically significant crop, faces substantial losses due to infections by Phytophthora nicotianae . This study investigated the endophytic microbial community composition in tobacco plants across different growth stages and plant parts identify endophytes that can antagonize P. Using high-throughput 16S/18S sequencing detect bacteria fungi tobacco, communities of roots, stems, leaves during vigorous mature were analyzed. Pure culture methods isolated endophytes, their antagonistic activity against was assessed through inhibitory assays. Results Non-significant differences richness indices (ACE Chao1) diversity index (Shannon) among at same stage found. However, observed between stages, though remained consistent. During stage, fungal dominated Fusarium Acremonium , bacterial Burkholderia Bradyrhizobium. In shifted Trametes Penicillium Candida while Halomonas Actinobacteria. Out 52 isolates, 14 showed with two isolates demonstrating over 50% activity. Among 206 23 exhibited activity, 12 showing 60% Conclusions These findings highlight variation potential biocontrol providing a basis for developing new strategies advancing disease management technologies.

Language: Английский

Citations

0
HPLC and GC–MS analyses of phytochemical compounds in Haloxylon salicornicum extract: Antibacterial and antifungal activity assessment of phytopathogens DOI Creative Commons
Said I. Behiry, Eman A. Abdelwahab, Abdulaziz A. Al–Askar

et al.

Open Chemistry, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 1, 2024

Abstract The present study investigated the phytochemical constituents and antimicrobial effects of aqueous methanolic extract Haloxylon salicornicum against some phytopathogenic bacterial fungal strains. selected strains were Pectobacterium carotovorum , atrosepticum Ralstonia solanacearum Streptomyces scabiei while Fusarium oxysporum Botrytis cinerea Rhizoctonia solani. demonstrated significant efficacy P. at a concentration 1,000 µg/mL, resulting in inhibition zones measuring 12.3 11 mm, respectively. Furthermore, considerable effectiveness strains, achieving an impressive growth suppression rate 68.8% R. solani 5,000 µg/mL. high-performance liquid chromatography analysis identified nine notable phenolic compounds six common flavonoid extract. highest quantities gallic acid (6427.5 µg/g), vanillin (1145.4 chlorogenic (498.1 syringic (322.5 µg/g). Apigenin (1155.9 daidzein (460.9 quercetin (382.7 naringenin (160.4 µg/g) exhibited most concentrations compounds. Gas chromatography–mass spectrometry revealed that n -hexadecanoic (53.7%), 9-octadecenoic (26.9%), 9,12-octadecadienoic ( Z ) (8.67%), palmitic acid, TMS derivative (4.36%) predominant Consequently, H. could be used for first time as environmentally safe pesticide agent plant pathogens to reduce excessive use chemical pesticides.

Language: Английский

Citations

0