Comparative resistance of channel catfish (Ictalurus punctatus) and channel catfish female × blue catfish (I. furcatus) male hybrid catfish against Aeromonas hydrophila
Bibliographic record
Abstract
Fish handling represents a significant stressor within aquaculture systems, frequently compromising the integrity of crucial mucosal barriers. This mechanical disturbance can lead to the development of wounds and skin injuries, thereby providing entry points for opportunistic bacterial pathogens and increasing the fish's susceptibility to disease. This study assessed the survival of channel catfish (Ictalurus punctatus) and channel catfish female × blue catfish (I. furcatus) male hybrids (CB hybrids) following Aeromonas hydrophila infection after passive integrated transponder (PIT) tag injection. The genotype of channel catfish and CB hybrids was identified using the PCR analysis of follistatin (fst) and hepcidin antimicrobial (hamp) gene polymorphisms. The findings demonstrated a noteworthy 15% increase in the overall survival rate in CB hybrid catfish compared with channel catfish. Furthermore, statistical analysis revealed a significantly prolonged (P=0.005) mean survival time in the CB hybrid group following A. hydrophila exposure. Beyond disease resistance, the study also assessed growth performance. Notably, CB hybrid catfish demonstrated significantly greater mean body weight compared to channel catfish in both dying (P= 0.016) and surviving individuals (P<0.0001). Collectively, these results provide evidence of faster growth of CB hybrid catfish in earthen ponds and higher survival rates following handling stress, skin injuries, and exposure to an infectious agent. These traits are of considerable economic importance for sustainable and efficient catfish farming and Aquaculture.
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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 | 0.000 |
| 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".