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Record W58992222

Comparative efficacy of different diluents on liquid preservation of boar semen

2006· article· en· W58992222 on OpenAlexaboutno aff
Mubashir Hayat Khan, Soumen Naskar, Anubrata Das, R K Bardoli

Bibliographic record

VenueThe Indian Journal of Animal Sciences · 2006
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsnot available
Fundersnot available
KeywordsExtenderSemenBOARDiluentAndrologySperm motilityAcrosomeChemistrySpermAnimal scienceBiologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

The study was carried out to find the effect ofdifferent extenders on preservation of boar semen in liquid condition. Ejaculates (60-15 each from 4 Hampshire boars) were collected twice weekly using dummy sow. The ejaculates having more than 80% initial progressive motility were diluted in 4 different extenders, viz. Belts Ville thawing solution (BTS) Modena, Zomobsa and Guelph/Kiev. The diluted semen was preserved at 18°C up to 96 h. The average sperm motility was 48.08, 43.83,40.56 and 33.41 %, respectively, in BTS, Modena, Zomobsa and Guelph after 96 h of preservation. While live percentage, acrosomal integrity and hypo-osmotic swollen spermatozoa were 53.45, 55.47 and 25.60%, respectively, in BTS; 49.46, 50.06 and 20.56% in Modena; 43.21,44.63 and 19.85% in Zornobsa; and 37.40,40.52 and 19.53% in Guelph extender after 96 h of preservation at 18°C. There was no significant difference observed between BTS and Modena as well as between Zornobsa and Guelph extenders. The results concluded that BTS and Modena are better extenders than Zornobsa and Guelph in terms of motility, viability, acrosomal integrity and hypo-osmotic swollen spermatozoa for liquid preservation of boar semen.

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 score0.585
Threshold uncertainty score0.115

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 head0.045
GPT teacher head0.311
Teacher spread0.266 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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