Growth of oysters (Crassostrea Sp.) at different stocking densities in Alue Naga Ponds, Banda Aceh
Oysters are a coastal natural resource utilized by communities as a source of livelihood. This study aims to assess the growth in length and weight of oysters (Crassostrea sp.) under different stocking densities in ponds located in Alue Naga. The experimental method used was a Completely Randomized...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/07/bioconf_icfaes24_01003.pdf |
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| Summary: | Oysters are a coastal natural resource utilized by communities as a source of livelihood. This study aims to assess the growth in length and weight of oysters (Crassostrea sp.) under different stocking densities in ponds located in Alue Naga. The experimental method used was a Completely Randomized Design (CRD) with three treatments, each repeated three times, consisting of densities of 30, 35, and 40 individuals per 1500 cm². Data were analyzed using Analysis of Variance (ANOVA), followed by Duncan's test. The results showed that different stocking densities significantly affected (P<0.05) the absolute length growth, absolute weight growth, and weekly length growth rate. The average results indicated that treatment A with a stocking density of 30 individuals per 1500 cm² achieved an absolute length of 45.51 mm, absolute weight growth of 35.23 grams, and a weekly length growth rate of 3.87 mm/week. Treatment B with a density of 35 individuals per 1500 cm² achieved an absolute length of 39.07 mm, absolute weight growth of 32.91 grams, and a weekly length growth rate of 3.25 mm/week. In contrast, treatment C with a density of 40 individuals per 1500 cm² resulted in an absolute length of 31.35 mm, absolute weight growth of 31.53 grams, and a weekly length growth rate of 2.61 mm/week. The highest growth rates were observed in treatment A with a density of 30 individuals per 1500 cm². |
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| ISSN: | 2117-4458 |