Effects of different photoperiods on digestive enzyme activities in rainbow trout (<i>Oncorhynchus</i><i> mykiss</i>) alevin and fry
Bibliographic record
Abstract
The aim of this study was to investigate the ontogeny of digestive enzymes and effects of photoperiod on pancreatic enzyme activity in rainbow trout (Oncorhynchus mykiss (Walbaum, 1792)) alevin and fry. After hatching, 3600 individuals of first-feeding alevin with a mean (±SD) mass of 119 ± 0.01 mg were reared in plastic tanks at four photoperiod levels (llight (L) : dark (D) cycle) for 6 weeks. Each replicate contained 300 alevin. Photoperiod treatments consisted of 14 h L : 10 h D, 10 h L : 14 h D, 4 h L : 20 h D, and 24 h L : 0 h D. During the rearing period, environmental variables including water temperature, oxygen, and pH were checked. Random sampling of alevin and fry was done at 0, 1, 3, 5, 8, 10, 15, 20, 25, 30, 39, and 44 days after the beginning of the first feeding (equal to 18, 19, 23, 25, 28, 30, 35, 40, 45, 50, 58, 63 days post hatching (dph)). The digestive enzyme activities in alevin and fry had a similar variation trend with age at all photoperiod levels. The specific activities of trypsin, chymotrypsin, and α-amylase at 24 h L : 0 h D were significantly higher than other treatments, but there was no significant difference in specific activity of lipase among treatments. The results demonstrated that growth, feeding efficiency, and digestive enzyme activity improved with longer exposure to photoperiod in rearing conditions.
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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".