Feeding gilts and sows to maximize mammary development and lactation performance
Bibliographic record
Abstract
Increasing sow milk yield is essential to achieve maximal growth of suckling piglets, and nutrition can stimulate milking capacity. From 90 days of age until puberty, replacement gilts should not undergo major feed restriction as it will inhibit mammary development. Providing phytoestrogens in that period will stimulate mammary hyperplasia. During gestation, feed intake of gilts must ensure that backfat at the end of gestation is above 16 mm to support mammary development. In the last third of gestation, providing 40% more lysine than requirements via the addition of soybean meal increases mammary mass in gilts, but not in multiparous sows. A high nutrient intake during transition is crucial, whereby providing sows 12.6 Mcal metabolizable energy and 22.0 g standardized ileal digestible (SID) Lys daily ensures a high colostrum production and maximizes milk yield in the following lactation. During lactation, there are quadratic effects of energy and protein intakes on the weight of suckled mammary glands and sows should not be restricted-fed to avoid excessive mobilization of body reserves. Furthermore, the provision of adequate lysine is critical to maximize litter growth, with optimum daily intakes between 47.7 and 51.3 g SID Lys for primiparous sows and 51.3–67.2 g SID Lys for multiparous 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.004 | 0.001 |
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".