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Record W3159980655 · doi:10.1111/are.15312

Comparing stress responses of F1 and domesticated striped bass ( <i>Morone saxatilis</i> ) following a repeated acute stressor

2021· article· en· W3159980655 on OpenAlexaboutno aff
Linas W. Kenter, Timothy S. Breton, David L. Berlinsky

Bibliographic record

VenueAquaculture Research · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyBroodstockStressorAquacultureMoroneSelective breedingAnimal scienceBass (fish)ImmunocompetenceFisheryFish <Actinopterygii>EcologyImmune systemImmunology

Abstract

fetched live from OpenAlex

Recent growth in striped bass aquaculture has generated interest in broodstock development programs for improved growth, disease resistance and stress tolerance. This research evaluated differential stress responsiveness of captive-bred striped bass originating from Canada, Virginia, Florida and a domestic strain, following a repeated acute stressor. Fish were communally stocked into a six tank recirculating system, and fish in three tanks were net-chased for 1 min two days/week (stressed), and three undisturbed tanks served as controls. After 14 weeks, fish in the control and stressed treatments were chased, and blood collected from all fish in one tank per treatment at 0, 1 and 3 h post-stressor. Growth, cortisol, glucose, haematological indices and selected hepatic gene expression were compared among strains and between treatment groups. To further compare cortisol responsiveness, a second study was conducted with lower net chasing frequency (once/month) and cortisol measured. A cortisol stress response was not detected in Canada fish in either study, but all other strains exhibited similar expression patterns. Differences in plasma parameters, growth and immunocompetence were detected, but no single measure predicted greater growth. These results indicate that strains differ in acute stress responsiveness, which may be useful in selective breeding programs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.048
GPT teacher head0.341
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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