Economic Effect of Hybrid Catfish (Channel Catfish ♀ × Blue Catfish ♂) Growth Variability on Traditional and Intensive Production Systems
Bibliographic record
Abstract
Abstract Using hybrid catfish (Channel Catfish Ictalurus punctatus ♀ × Blue Catfish I. furcatus ♂) is one path toward intensification that can lower production costs and increase net returns. However, hybrid catfish have experienced growth variability resulting in undersized and oversized fish. Analyzing the economic effect of this issue is critical, as fish processors often require a specific size range of fish from the producers. Comparative economic analyses were performed using enterprise budgets and sensitivity analyses on hybrid catfish production data obtained from single-batch (SB), multiple-batch (MB), and split-pond (SP) systems. Results indicated that the SP system had the highest net returns (US$8,164/ha) resulting from greater availability of premium-sized fish (0.45–1.81 kg; sales price = $2.46/kg), followed by SB and MB systems, respectively. Lower prices received for undersized (<0.45 kg; sales price = $2.34/kg) and oversized (>1.81 kg; sales price = $2.08/kg) fish resulted in revenue losses of $287, $594, and $611 per hectare in SB, MB, and SP systems, respectively. An inverse relationship between the dockage rate and net returns was observed. Economic analyses also showed that the net returns were greater when large-sized fingerlings (~20 cm) were stocked relative to medium-sized fingerlings (≤18 cm) in the SP and SB systems, while the opposite was true for the MB system. Stocking of graded hybrids in SB, MB, and SP production could provide higher net returns from these systems.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".