Effects of photoperiod on the development of beef replacement heifers from weaning until first lactation
Bibliographic record
Abstract
The effects of photoperiod on the development of beef replacement heifers from weaning until first lactation were determined by assigning 144 crossbred heifers on the basis of weaning weight (225 +- 23 kg) and sire breed (British/Continental) to two outdoor housing facilities, with different photoperiod treatments, in a completely randomized design. From December 1, 1998 (day 0) until May 20, 1999, heifers in one facility received supplemental light (423 lux, 1 m above ground) to extend the daily photoperiod (natural + supplemental light) to 16 hours (EP). Heifers in the other facility experienced natural photoperiod only (NP). Measurements of body weight gain, backfat, and concentration of prolactin in blood serum were made every 28 d. Observations for estrus behaviour were made twice daily, in the morning and evening, and were confirmed by serum progesterone concentration in blood samples taken 8-12 d after observed estrus. Two methods of estrous synchronization and timed artificial insemination (AI) were used for first service. Maternal performance as two-year olds was evaluated in terms of calving date (n = 105), milk production and composition during the period of peak lactation (n = 32), and calf weight. (Abstract shortened by UMI.)
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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".