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An Optimized Experimental Zebrafish Breeding Scheme for Significantly Enhancing Reproductive Efficiency and Service Life

2023· article· en· W6884754818 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsnot available
Fundersnot available
KeywordsFecundityBrine shrimpZebrafishAquacultureBody weightHuman fertilizationFeed conversion ratioBrine

Abstract

fetched live from OpenAlex

Objective To solve the problems of delayed growth and development and insufficient spawning of experimental Zebrafish, so as to improve the reproductive efficiency and service life of experimental Zebrafish.Methods The zebrafish at the age of 2 months after fertilization were divided into two groups. The experimental group was fed with dry commercial diets specifically designed for ornamental fish or frozen adult brine shrimp, while control group was fed with live laval brine shrimp. Within a period of 70 days, the growth performance of the zebrafish was evaluated by measuring body length and weight, and the reproductive performance was assessed by measuring the fecundity and spawning rate. Zebrafish with apparent goiter disease were fed with dry commercial diets, and the inhibitory effect of the pellets on this disease was evaluated by measuring the diameter of the thyroid enlargement lesion. The three feeding methods were combined, and the feeding plan was optimized. The actual effects of the plan on zebrafish rearing were validated through reproductive performance tests.Results Starting from 60 days post-fertilization (dpf) until 111 dpf, the body length and weight of the dry commercial diets feed group gradually surpassed those of control group (all P<0.000 1). From 60 dpf to 96 dpf, the growth trend in body length of the adult brine shrimp group was similar to that of control group, but the female fish in the adult brine shrimp group had significantly higher body weight than the female fish in control group at 75-82 dpf (P<0.000 1). Compared to control group, there was a significant difference in body color between males and females in the adult brine shrimp group, and at 75 dpf, gender could be accurately distinguished by body color differences. Furthermore, the spawning rate of the zebrafish in the adult brine shrimp group at 3 months of age was significantly higher than that of control group (94.44% vs. 27.78%, P<0.05). Additionally, after feeding with the dry commercial diets for 130 days, all thyroid enlargement lesions in the experimental zebrafish disappeared. Based on the above results, the three feeding methods were combined and the feeding plan for zebrafish older than 2 months of age was optimized as follows: feed live brine shrimp in the morning, and alternate between dry commercial diets and adult brine shrimp in the afternoon. This feeding plan lasts until the age of 12 months. The spawning rate of Zebrafish can maintan 70%, and the spawning amount can reach (233.6±3.95) eggs. The fertilization rate and hatching rate were 97.47% and 90.24%, respectively, both significantly higher than those of control group (P<0.001, or P=0.01).Conclusion Compared to live brine shrimp feed, the dry commercial diets feed significantly improves the growth performance of zebrafish and has a therapeutic effect on thyroid enlargement disease. On the other hand, adult brine shrimp feed significantly enhances the early reproductive performance of zebrafish. The optimized feeding plan successfully improves the spawning efficiency of laboratory zebrafish, prolonging their reproductive lifespan and better supporting relevant scientific research.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.177
GPT teacher head0.543
Teacher spread0.366 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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