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Record W2159656419 · doi:10.1080/15222055.2011.635243

Sperm Metabolism and Biochemical Characteristics in First-Time and Second-Time Spawners of Farmed Atlantic Cod

2011· article· en· W2159656419 on OpenAlexafffund
Dounia Hamoutene, L. Lush, K. Burt, S. Samuelson, Dwight Drover, Andy Walsh

Bibliographic record

VenueNorth American Journal of Aquaculture · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReproductive biology and impacts on aquatic species
Canadian institutionsFisheries and Oceans Canada
FundersFisheries and Oceans Canada
KeywordsBiologyFisherySpermAtlantic codZoologyFish <Actinopterygii>Botany

Abstract

fetched live from OpenAlex

Abstract We compared sperm biochemical characteristics of first-generation (F1) hatchery-reared broodstock of Atlantic cod Gadus morhua during the first and second spawnings to investigate potential improvements in sperm quality between the two spawning events. To gain further perspective on the sperm characteristics investigated, the values for farmed Atlantic cod were also compared with sperm characteristics of wild, experienced spawners that had been kept captive for 4 years. In particular, we investigated differences in the lactate dehydrogenase (glycolytic metabolism) and lipase (lipid catabolism) enzyme activities as well as sperm respiration rates and energy levels. Fertilization percentages for the F1 hatchery males at the first and second spawnings and for the wild broodstock were also obtained. The wild broodstock males were older and larger than the farmed males and produced sperm with higher energy levels, protein levels, and fertilization rates relative to the sperm of farmed naïve spawners. Our results showed no differences in characteristics between the first and second spawnings and seemed to contradict previous findings that demonstrated an improvement between first and second spawnings in captive wild Atlantic cod. Further investigations on sperm of hatchery-reared Atlantic cod broodstock (e.g., sperm motility; fertilization rates of the same males) are necessary to confirm the present findings.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.209
Teacher spread0.201 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2011
Admission routes2
Has abstractyes

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