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ISSN : 2582-6271

Title:
EFFICACY ANTIMICROBIAL ENDOPHYTICS METABOLITES TO CONTROL SIGATOKA DISEASE (MYCOSPHAERELLA MUSICOLA) ON BANANAS IN NORTHERN SUMATERA

Authors:
Alfizar Alfizar, Amda Resdiar, Nana Ariska, Muhammad Sayuthi, Siti Shofiya Nasution, Novita Novita and Syaukani Syaukani

Abstract:
The secondary metabolites show diverse biological activities, including phytotoxic, antibacterial, antifungal, and antitumor. This study aimed to obtain secondary metabolites that are more effective in suppressing the development of Sigatoka disease in bananas. A field trial was performed to screen the antifungal metabolitesactivity of three isolates against Mycosphaerella musicola. This research used a randomised block design with four treatments and six replications. The results showed that the fastest incubation period was obtained at 14 days in the control treatment, and with Bacillus sp occurred after 30 days, 25 days in the treatment of Pseudomonas aeruginosa, and 40 days in the treatment of Trichoderma asperellum. The percentage of disease incidence and spot area on the leaves was most significant in the control treatment, 62,5% and 66,45%, then followed by Pseudomonas aeruginosa respectively, 41,67% and 34,48%, and the lowest disease incidence and spot area in the treatment, Trichodermasp were 25% and 21,78%, respectively. Further, the lowest disease severity was found in the secondary metabolite of Trichoderma asperellum at 23.36%, followed by Pseudomonas aeruginosa secondary metabolite at 32.57%. Meanwhile, the highest disease severity was found in the control treatment, with an average of 60.27%. Secondary metabolites of Bacillus sp, Trichoderma asperellum and Pseudomonas aeruginosa effectively suppress Sigatoka disease. The highest banana production was found in the secondary metabolite of Trichoderma asperellum, with a harvestweight of 13.98 kg, and the lowest harvest weight found in the control treatment was 11.90 kg.

Keywords:
Banana, Sigatoka, endophytes, Bacillus, Pseudomonas, Trichoderma

DOI:
https://doi.org/10.52267/IJASER.2024.5309

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