Issue |
BIO Web Conf.
Volume 156, 2025
The 6th International Conference on Fisheries, Aquatic, and Environmental Sciences (ICFAES 2024)
|
|
---|---|---|
Article Number | 03010 | |
Number of page(s) | 7 | |
Section | Fisheries (Biodiversity, Aquaculture, Food and Nutrition, Sustainable Seafood, Natural Resources, Conservation, Capture Fisheries) | |
DOI | https://doi.org/10.1051/bioconf/202515603010 | |
Published online | 30 January 2025 |
Effect of betel leaf extract (Piper Betle L.) toward hatching and survival rate of sea bass (Lates calcarifer) larvae
1 Department of Aquaculture, Faculty of Marine and Fisheries, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
2 Departement of Fish Seed and Feed Production Tehnology Study Program, Politeknik Indonesia Venezuele, Aceh Besar 23372, Indonesia
* Corresponding author: cutdd@usk.ac.id
One of the factors that causes the hatchability of sea bass (Lates calcarifer) eggs to be low is fungal attack. One natural ingredient that can prevent fungal attacks on fish eggs is betel leaves (Piper betle L.) because they have antifungal compounds. The aim of this research was to determine the effect of giving betel leaf extract on the hatchability of eggs and the survival of sea bass larvae. This research was carried out from 21 February to 3 March 2024 at the Ujung Batee Brackish Water Aquaculture Fisheries Center. The method used in this research was a Complete Random Design (CRD) with 5 treatment levels and 4 replications. The concentrations of betle leaf extract used included treatment A (control), treatment B (1.40 ml/L), treatment C (1.50 ml/L), treatment D (1.60 ml/L) and treatment E (1.70 ml/L). Based on the ANOVA test that has been carried out, it can be concluded that the addition of betel leaf extract has a significant effect on the hatchability of sea bass eggs and the survival of sea bass larvae. Treatment C (1.50 ml/L) was the best treatment in this study, which resulted in a hatchability percentage of 89.50%, with a survival rate of 84.50%.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.