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Record W2088310831 · doi:10.5539/jas.v2n1p193

Effects of Medicinal Plant (Kigelia africana) on Sperm quality of African catfish Clarias gariepinus (Burchel, 1822) Broodstock

2010· article· en· W2088310831 on OpenAlexvenueno aff
Eunice Oluwayemisi Adeparusi, Adekunle Ayokanmi Dada, Olakunle Victor Alale

Bibliographic record

VenueJournal of Agricultural Science · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReproductive biology and impacts on aquatic species
Canadian institutionsnot available
Fundersnot available
KeywordsBroodstockClarias gariepinusMiltCatfishBiologySpermAnimal scienceFertilityToxicologyFish <Actinopterygii>BotanyFisheryAquaculturePopulation

Abstract

fetched live from OpenAlex

The effects of K. africana fruit (Lam. Benth), family bignoniaceae, were investigated on the sperm quality of C. gariepinus, (mean body weight, 396.05±7.04). Five diets with crude protein of 40% were formulated with different inclusion levels of K. africana powder. D1 (control) has 0 g/kg of the powder, while D2, D3, D4 and D5 has 50, 100, 150 and 200 g/kg of the K. africana powder. A total of 120 C. gariepinus were randomly distributed in triplicate into 15 concrete tanks (2×2×1.5m) at stocking density of 8 fish per tank and constant water level of 1m was maintained in the experimental tanks. The tank contained pond water (PH ? 7.2, oxygen? 4.3 mg/l, temperature? 26. 2 0C). The fish were fed at 3% of body weight twice a day between 8.00-9.00 am and 4.00-5.00 pm for a period of 90 days. The qualities of the milt were assessed by aid of microscope and by fertility tests. The male brood fish fed 100 g/kg had significantly higher (P0.05). The results of the study has shown that K. africana fruits possess promising pro-fertility which can be exploited in fish seeds production and 100 g/kg of K. africana based diet was the best tolerance level of inclusion, which could give satisfactory and efficient result on the sperm quality and fertility of C. gariepinusKey words: Kigelia africana, sperm quality, fertility, Clarias gariepinus.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 science0.0010.000
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 head0.013
GPT teacher head0.274
Teacher spread0.261 · 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

Citations33
Published2010
Admission routes1
Has abstractyes

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