182 Feeding newly-weaned pigs low-lysine (Lys) diets followed by a non-limiting-Lys diet can induce compensatory growth with no effects on carcass quality at market weight.
Bibliographic record
Abstract
Reducing the inclusion of expensive feed ingredients in weaned-pig diets decreases feed costs, but compromises growth performance of pigs. Inducing compensatory growth can improve ADG and potentially increase profits. A serial slaughter study was conducted to determine the effect of reducing standardized ileal digestible (SID)-Lys content of newly-weaned pig diets on growth performance and carcass quality at slaughter. In total, 240 newly-weaned pigs (7.2 ± 0.1 kg BW) were randomly allocated to 1 of 3 experimental diets with 8 replicated pens (4 barrow-pens and 4 gilt-pens with 10 pigs/pen). Pigs were fed diets containing 110% (Control), 80% (-20Lys), and 60% (-40Lys) of NRC (2012) SID-Lys recommendations with 15.6, 11.3, and 8.5 g/kg SID-Lys, respectively, for 3 consecutive weeks (restriction phase). During the following 6 weeks, pigs were fed a common diet [14.6 g/kg SID-Lys, 20% above NRC (2012) recommendation; recovery phase]. To assess carcass quality, all pigs were phase-fed commercial diets until market weight (130 kg). During the restriction phase, BW, ADG, and G:F decreased linearly with dietary Lys content (BW: 14.4, 13.9, and 12.9 ± 0.2 kg for Control, -20Lys, and -40Lys, respectively; P < 0.01). At the end of the recovery phase, BW was similar amongst treatments (50.7 ± 0.7 kg). From weaning to attaining 50 kg BW, ADG was not different (706, 683, and 682 ± 10 g/d; P > 0.05), but G:F was greater for Control than pigs fed reduced-Lys diets (0.612, 0.597, and 0.541 ± 0.011 for Control, -20Lys, and -40 Lys, respectively; P < 0.05). There were no differences in carcass quality traits amongst treatment groups (P > 0.05) for pigs slaughtered at 130 kg BW. In conclusion, newly-weaned pigs fed low-Lys diets for 3 weeks achieved compensatory growth after a 6-week recovery period, with no effects on carcass quality at market weight.
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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 | 0.001 |
| 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) | 0.002 | 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".