Evaluation of antifungal activity of plant extracts against plant pathogen associated with sweet orange (Citrus sinensis L.), in Jimma, Western Ethiopia

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Abstract

Background: Sweet oranges are a vital agricultural commodity, but they are susceptible to various pathogenic fungi that can cause significant economic losses. This study aimed to evaluate the antifungal activity of plant extracts against pathogenic fungi attacking sweet oranges in Jimma, Ethiopia. Materials and methods: Various plant extracts were obtained from locally available plant species and tested against selected pathogenic fungi using standard in vitro antifungal assays. The results revealed varying degrees of antifungal activity among the plant extracts, with some showing promising inhibitory effects against the targeted fungi. Statistical analysis indicated significant differences in antifungal efficacy among the tested extracts. Results: The study found that Penicilium spp., Aspergillus spp., Rhizopus spp., Mucor spp., and Fusarium spp, were the predominant fungal species. The study found that the extracts of Vernonia amygdalina, Ginger oficealae, and Pterolobium stalatam were effective in inhibiting mycelial growth against these pathogens. This suggests the use of these medicinal plants for the preservation and control of sweet orange fruit in most of the Ethiopian region. Conlusion: These findings suggest the potential of certain plant extracts as natural alternatives to synthetic fungicides for managing fungal diseases in sweet orange cultivation. Further research is needed to elucidate the mechanisms of action of these plant extracts and optimize their application in agricultural practices. This study contributes to the development of sustainable and eco-friendly strategies for plant disease management in the region.

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Amenu, D., Desalegn, R., Nugusa, A., Tolera, C., & Tafesse, T. (2024). Evaluation of antifungal activity of plant extracts against plant pathogen associated with sweet orange (Citrus sinensis L.), in Jimma, Western Ethiopia. Discover Applied Sciences, 6(7). https://doi.org/10.1007/s42452-024-06054-2

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