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Alternaria porri, a notorious fungal pathogen, poses significant threats to various crops, particularly those belonging to the Allium genus. Traditional methods of combating this pathogen often involve the use of chemical fungicides, which can have adverse effects on the environment and human health. In recent years, the development of alternative eco-friendly approaches utilizing nanoparticles has gained considerable attention. Among these, zinc (Zn) and copper (Cu) nanoparticles synthesized through green routes have emerged as promising candidates due to their inherent antifungal properties and environmentally benign synthesis processes. This review aims to provide a comprehensive overview of the effectiveness of green-synthesized Zn and Cu nanoparticles against Alternaria porri. It will discuss the methods employed for the green synthesis of these nanoparticles, their physicochemical properties, mode of action against the fungal pathogen, and their potential applications in agriculture for the management of Alternaria porri. Furthermore, challenges and future prospects associated with the utilization of green-synthesized Zn and Cu nanoparticles in controlling Alternaria porri will be critically evaluated.
Keywords:
Alternaria porri, zinc nanoparticles, copper nanoparticles, green synthesis, antifungal activity.
Cite Article:
"Antifungal properties of zinc oxide and copper oxide nanoparticles against purple blotch disease in Allium cepa", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 5, page no.88 - 92, May-2024, Available :http://www.ijrti.org/papers/IJRTI2405015.pdf
Downloads:
000205135
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator