Ad libitum Feeding of Gilt Developer Diets Differing in Standard Ileal Digestive Lysine Concentrations Affected Growth and Feed Efficiency but did not Affect Age at Puberty in Replacement Gilts
Bibliographic record
Abstract
The effect of ad libitum feeding diets with three lysine concentrations to developing gilts housed in groups from 100 to 220 days of age on growth, body composition, feed efficiency and age at puberty was evaluated. Gilts were randomly allotted to three corn-soybean diets formulated to provide three standardized ileal digestible (SID) lysine concentrations. Gilts received grower diets formulated to provide 0.68% (low), 0.79% (medium) or 0.90% (high) SID lysine from 100 days of age until approximately 90 kg BW. Then, gilts were fed finisher diets containing 0.52% (low), 0.60% (medium) or 0.68% (high) SID lysine until they were moved to the breeding barn at approximately 220 days of ageData on BW, bakfat thickness, loin area, feed and lysine intake and age at puberty was collected at different intervals during the study. Gilts fed the low lysine diet had lower average daily gain, body weight, backfat thickness and loin depth compared with gilts fed the high lysine diet. Overall, 34% of gilts displayed standing estrus before 220 days of age. The number of gilts that reached puberty was not different among dietary treatments; however, gilts fed the high and medium lysine diet reached puberty 10 days and 6 days before gilts fed the low lysine diet, respectively. Results from the present study suggest that growth rate can be successfully altered when feeding gilts ad libitum diets differing in SID lysine concentration without negatively affecting puberty attainment.
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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) | 0.001 | 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".