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Record W7132311588

An overview of a collaborative project to develop optimized diets for culture of triploid growth hormone transgenic Atlantic salmon (Salmo salar)

2013· article· en· W7132311588 on OpenAlexvenueno aff
S. Tibbets, C. Wall, D. Plouffe, R. Ganga, J. Buchanan, S. (Snehalika) Lall

Bibliographic record

VenueNPARC · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsnot available
Fundersnot available
KeywordsAquacultureNutrientFish <Actinopterygii>MicronutrientFish farmingFish mealSustainabilityEssential nutrient
DOInot available

Abstract

fetched live from OpenAlex

There is growing interest in growth-hormone transgenesis (TG) and triploidy (TRIP) in salmon aquaculture to shorten production cycles using fast-growing, reproductively sterile animals. Since triploidy alters physiology of fish and TG salmon have significantly enhanced growth rates, it is likely that feed formulations for conventional non-transgenic (NTG), diploid (DIP) culture may not be suitable. It is possible that traditional formulations may not provide TG/TRIP fish with sufficient macronutrients to sustain rapid growth and dietary micronutrient levels may require adjustment to reduce possible skeletal irregularities associated with triploidy. Evidence suggests that TG/TRIP fish may utilize dietary nutrients more efficiently, providing an opportunity to reduce feedcosts and improve the economics and ecological sustainability of salmon culture. This presentation will review a collaborative project conducted between industry and government to characterize and improve growth performance and nutrient utilization of TG and NTG TRIP salmon. Several studies are in various stages of completion focussing on several life stages; including first-feeding fry (<30 g), juveniles (30-300g) and large fish (up to 1 kg). These studies will provide information to help determine if diets for conventional NTG/DIP salmon are suitable for reproductively sterile fish and where further improvements may be required. Preliminary results will be presented.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.516

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 studies0.0000.000
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 head0.024
GPT teacher head0.295
Teacher spread0.271 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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