Evaluation of Steroid Sex Hormone Levels in Cockatiels During Their Reproductive Cycle
Bibliographic record
Abstract
Sexual steroid hormone concentrations differ with respect to the different stages of animal life. For example, hormone concentrations in the reproductive stage show a periodic variation. Studies on variations in sexual hormones in parrots using non-invasive methods as well as the effect of nest-boxes in parrots are less. This study aimed to detect the levels of fecal steroid hormones during the cockatiel reproductive cycle and to investigate the effect of nest-box placement on reproduction. There were 24 mating pairs of cockatiels, and the study was conducted over 13 months. Based on their reproductive status, individual birds were divided into pre-reproduction (PR), incubation (IN), and parent period (PA) in the pre-test; then, the nest box was either temporarily removed for 20 days (RN) or continuously provided (pre-reproduction, PR). The estrogen concentrations measured in the last stage of the PR period and the initial stage of the IN period were significantly higher than those measured in the PA stage, and there were no significant differences in testosterone and progesterone concentrations throughout the reproductive cycle. The nest-box treatments (NB) indicated that eggs were laid 6-13 days after the new box was hung; however, in the pre-test, there was an interval of 30-40 days before the next mating pairs started the next reproductive stage or no reproduction. Estrogen concentrations in PR and testosterone concentrations in RN were significantly higher than those in the other periods during the nest-box treatments. In conclusion, estrogen showed the most significant change among the fecal steroid hormones measured. Nest boxes serve as a positive stimulus for parrot reproduction management and can help non-seasonal reproductive parrots to rapidly enter the next breeding cycle.
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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".