The influence of season on preovulatory events associated with estrus synchronization in dwarf goats raised in Quebec /
Bibliographic record
Abstract
In temperate zones most breeds of goats are anestrous and anovulatory during spring and summer, but start cycling as day length decreases during the fall. In tropical zones, indigenous goats, such as the Pygmy and the Nigerian Dwarf, tend to cycle throughout the year. Some studies have indicated that dwarf breeds become more seasonal when they are raised in temperate zones, while others maintain that they are capable of breeding throughout the year. In this study, Pygmy and Nigerian Dwarf goats became more seasonal in Quebec. The majority of the animals were cycling during December and February, but a significant proportion exhibited anestrus during October, May, and June. Several hormones, including prostaglandins (PG), progestagens, and gonadotropins (eCG, FSH, GnRH, hCG), have been used for the control and synchronization of estrus and ovulation in goats, but limited research has been conducted with dwarf breeds. In this study, dwarf goats were synchronized in November, March, and July with a 10-day MAP sponge coupled with 125 mug cloprostenol i.m. 48 h before sponge removal and 300 IU eCG i.m. at sponge removal. A seasonal shift was detected in the intervals to the onset of estrus, the LH surge, and ovulation following sponge removal. These intervals were shorter in November and July than in March (P < 0.05). The intervals between the onset of estrus and the LH surge and between the LH surge and ovulation were found constant throughout the different seasons. The administration of 50 mug GnRH at 24 h after sponge removal improved the timing and synchrony of the LH surge and ovulation in dwarf goats (P < 0.05). The knowledge acquired from this research may serve to improve reproductive efficiency in dwarf goats by facilitating the determination of an optimal time for breeding, artificial insemination, and oocyte and embryo recovery.
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 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".