Effect of supplemental copper proteinate on reproductive performance of first- and second-parity sows
Bibliographic record
Abstract
The effects of copper supplementation in the form of copper proteinate (CuP) on sow reproductive performance were determined. In Trial 1, 140 parity-1 and parity-2 sows received basal (B) or CuP treatment from day 108 of gestation through day 14 after weaning. Each CuP-fed sow received daily 40 g dried molasses that contained 0.32% CuP, which supplied 14 mg d-1 Cu as CuP; B-fed sows received no dried molasses. After weaning, sows were housed in large breeding pens (3.6 m × 6.6 m). Weaning-to-estrus interval was shorter (P < 0.05) and percentage bred by day 7 postweaning was greater (P < 0.05) for CuP-fed than for B-fed sows. Trials 2 and 3 used 110 and 56 parity-1 sows, respectively. Treatments (40 g of dried molasses, B, or 40 g of CuP-supplemented dried molasses, which provided 14 mg d-1 Cu) were administered from day of farrowing to day 7 postweaning. Weaned sows were housed in small breeding pens (2.4 m × 3.6 m) in Trial 2, and in large pens (the same as used in Trial 1) in Trial 3. No treatment differences (P ≥ 0.48) were detected in Trial 2. In Trial 3, CuP supplementation tended to increase (P = 0.09) percentage of sows bred by day 7 postweaning. In conclusion, supplemental Cu as CuP fed to sows housed in large breeding pens can increase the percentage bred by day 7 postweaning. Key words: Copper proteinate, reproductive performance, sows
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".