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Record W7084448512

Intensive rearing of European catfish larvae (Silurus glanis L.) at different stocking densities and their effect on fish production parameters

2021· article· en· W7084448512 on OpenAlexaboutno aff

Bibliographic record

VenueBulgarian Portal for Open Science · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicUniversity-Industry-Government Innovation Models
Canadian institutionsnot available
Fundersnot available
KeywordsStockingCatfishLarvaFish <Actinopterygii>Weight gainBody weight
DOInot available

Abstract

fetched live from OpenAlex

During the present research, two studies are conducted (Study I and Study II), in two consecutive years, by applying the same scheme of stocking density. Each study has duration of 16 days. The object of the experiment is European catfish larvae reared in tubs with continuous water flow (0.7 l.min-1). Throughout the experimental period, all fish are fed with „Ocean nutrition” – Canada (0.8–1.0 mm) to satiation, three times per day. At the beginning and at the end of each study, weight assessments are performed using 50 randomly selected individuals from each stocking density variant. The average weight of the larvae at the start of Study I is in the range of 50.7 ± 11.9 mg to 86.2 ± 20.1 mg and at the start of Study II – from 182.5 ± 58.0 mg to 199.3 ± 70.9 mg. The number of larvae used in Study I is 2400 and in Study II – 3600. The scheme of stocking density consists of three variants: Variant A (5 ind.l-1), Variant B (10 ind.l-1) and Variant C (15 ind.l-1). In Study I, each variant of stocking density is applied with one repetition, whereas in Study II – with two repetitions for better statistical analysis. The results from the study demonstrate that the weight gain (IWG, mg) and the survival rate (SR, %) are strongly affected by the variant of stocking density, with a significant difference being established (P ≤ 0.05). Both parameters have the highest values for the lowest stocking density (Variant A – 5 ind.l-1). The established values for the growth rates (AWG, DGR, SGR), for Study I and Study II, indicate that they are significantly affected by the different variants of the stocking density (P ≤ 0.05).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.032
GPT teacher head0.238
Teacher spread0.206 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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