The impact of uterine therapies on reproductive efficiency in Thoroughbred mares; the possible effect of mare age and reproductive status.
Bibliographic record
Abstract
To optimise the reproductive effi ciency of Thoroughbred mares, several uterine therapies have been administered during the limited period of the breeding season. Reproductive and treatment records of 253 Thoroughbred mares kept at nine commercial stud farms during the period from 1998 to 2005 were used to assess the incidence of various uterine therapies and their curative effect on the overall reproductive effi ciency of mares. Furthermore, the effects of mare age on the effi cacy of uterine therapy in mares were ascertained. On the basis of type and protocol of uterine therapy application, the mares were grouped as follows: saline/antiseptic lavage, intrauterine infusion of antibiotics and/or parenteral administration of oxytocin and their combinations. The overall incidence of uterine therapy was 18.07% (357) of the 1976 oestrous cycles covered and all the uterine therapies used were equally effi cient regarding reproductive parameters. Out of the total treated cases, 25.21% of the mares received a combination therapy of intrauterine antibiotics, along with oxytocin injections. Further, the incidence of uterine treatment was least (P<0.0001) in mares aged 3-7 years (9.35%) and maiden mares (5.92%). The pregnancy rates at Day 39 post ovulation and foaling rates were higher (P<0.05) in untreated mares than treated mares (46.39 vs. 40.62% and 41.75 vs. 35.85%, respectively) whereas no difference was recorded in terms of overall pregnancy losses (21.95 vs. 18.55%). In treated mares, signifi cantly higher day 39 pregnancy rates and foaling rates were observed in mares aged 3-7 years (47.27 and 41.82%) and maiden mares (60.00 and 60.00%) than in ≥18 years old (22.58 and 12.90%) mares and barren (31.94 and 27.78%) mares, respectively. In conclusion, despite the higher incidence of administration in older and barren mares, *Corresponding author: Dr. Sumeet Sharma, Ph.D Student, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta T6G 2P5, Canada, E-mail: sumeetsharmapau@yahoo.com
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".