Botanical Interventions for Controlling Reproduction in Fish –an Overview
Bibliographic record
Abstract
Abstract Synthetic chemicals have long been employed in aquaculture to manipulate sex, optimize breeding and enhance growth in different varieties of fish, but concerns over their potential health and environmental risks have led to their prohibition in many regions worldwide. As a result, there are growing interests in using natural plant-based alternatives instead of the synthetic chemicals. For this objective, research studies unveiled numerous plant extracts and phytochemicals with potential androgenic and estrogenic properties, making them promising candidates for sex control. This review delves into research on the efficacy of these natural compounds, particularly saponins, phytosterols, flavonoids, and other phytochemical compounds, in influencing fish sexual development. We explore the current knowledge about the endocrine mechanisms underlying these effects and discuss the limitations of their applicability in aquaculture. By highlighting the potential of plant-based approaches, we aim to stimulate further research and promote sustainable sex control practices in aquaculture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".