Determination of Smoltification Status in Juvenile Migratory Rainbow Trout and Chinook Salmon in Minnesota
Bibliographic record
Abstract
Abstract The progress of smoltification was quantified with an enzyme assay (gill sodium-potassium-activated adenosine triphosphatase, or “Na+, K+-ATPase,” activity) in nonnative populations of migratory salmonines that are stocked or naturally spawned in Minnesota tributaries of Lake Superior. This information was needed to develop stocking strategies that would maximize imprinting at intended locations and to determine the causes and consequences of early emigration in stream-reared fish. Species and strains tested included (1) chinook salmon Oncorhynchus tshawytscha during hatchery rearing and after stocking, (2) two strains of O. mykiss—steelhead (naturalized) and a Kamloops (hatchery) strain of migratory rainbow trout—during hatchery rearing and after stocking, and (3) stream-reared steelhead emigrants captured in smolt traps. The ATPase activity level that distinguished smolts from nonsmolts was 11 μmol Pi · (mg protein)−1 · h−1 for chinook salmon and 10 μmol Pi · (mg protein)−1 · h−1 for all groups of rainbow trout tested. Plots of ATPase activity against fork length, weight, and body depth indicated that 91% of chinook salmon and 100% of rainbow trout were stocked at sizes that exceeded a minimum size for smolting. Temperature appeared to influence smoltification of chinook salmon. Stocking into a river significantly increased ATPase activity levels of hatchery chinook salmon and Kamloops rainbow trout, but data were inconclusive for steelhead. Most stocked steelhead fry and naturally spawned steelhead that emigrated before age 2 were not smolts and may have emigrated as a result of natural exploratory movement. My results suggest that stocking all fish in May or June, controlling rearing and stocking temperatures of chinook salmon, and controlling the sizes attained by migratory rainbow trout in the hatchery may maximize in-stream smolting and future homing to desired locations.
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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) | 0.000 | 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 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".