Effects of Multi-enzyme Feed Additive “Kemzyme” or/and Sodium Bentonite “as a Feed Binder”on Sexual Activity and Some Fertility Parameters of Rabbit Bucks
Bibliographic record
Abstract
The present study was conducted to clarify the effect of Kemzyme or Bentonite and their mix as feed additiveson the main semen characteristics, testicular enzyme markers, plasma testosterone level and fertility indices ofbucks. Twenty four mature NZW rabbit bucks of about 4-month age and average body weight 2.400 kg wereequally divided into four groups (6 in each). The first group was kept untreated (C). The second group (K) wassupplemented with 0.1% “Kemzyme”, a multi-enzyme. The third group (B) was supplemented with 2% sodiumbentonite while the fourth group (KB) was supplemented with Kemzyme plus bentonite. The dietary treatmentlasted for 10 weeks to cover a complete spermatogenic cycle. Results obtained revealed better sexual activity andhigher libido of (K) and (KB) bucks. Besides, significant improvement in their different semen parameters,blood testosterone level, seminal total lipids concentration and the activities of different seminal enzymes. Suchimprovement was complementary to the higher fertility indices that also noticed on bucks of the same groups.Practically, it could be considered that (K) supplementation is a good reproductive promotant tool in the field ofrabbit production.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".