Effect of stocking density and salinity on the growth and survival of golden Anabas fry
Bibliographic record
Abstract
Stocking density and salinity influence on the growth and survival of golden Anabas fry were studied. Experiments were carried out at Hatchery Unit, Institute of Bioscience, Universiti Putra Malaysia, Serdang Selangor, Malaysia. Growth parameters were measured once a month. While survival was monitored daily throughout the experimental period. Water quality such as temperature, dissolved oxygen (DO), pH, ammonia and nitrite were measured once a week prior to water change. During the study period, fry were fed to apparent satiation with commercial crumble diet (Cargill 6103) containing 34% crude protein. After 6 weeks of culture, fry were weaned on Starfeed 9910 (1mm) containing 32% crude protein. Feedings were carried out two times daily at 0830and 1700. In the stocking density experiment, 3 densities tested were 2, 3 and 4 fry/L. All treatments were conducted in triplicates in 10L plastic aquaria. Golden Anabas fry with wet weight of 1.02g weight and total length of 3.60cm were used in this experiment. As for salinity experiment, golden Anabas fry were cultured in water with salinities of 0, 5, 10 and 15 ppt, at stocking of 3 fry/L, in 8L aquaria. Statistical analysis showed that there were significant differences (p<0.05) in the growth between the treatments. The best growth recorded was in 2 fry/L, followed by 3 and 4 fry/L. As for salinity experiment, 0 ppt showed significantly better (p<0.05) growth as compared to the rest of the treatments. However, the percentage of survival was not significantly different (p>0.05) among the treatments. In conclusion, golden Anabas fry showed better growth when cultured at low stocking density (2 fry/L) and can tolerate up to 15 ppt salinity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".