192 The apparent utilization of DL-methionine and the hydroxy-analog of methionine for whole-body nitrogen retention when cysteine is supplemented in the diets of lactating sows.
Bibliographic record
Abstract
Abstract Fifty-eight sows [average parity: 1.48±0.50; body weight on lactation d9: 196.9±14.0 kg] were used to determine the apparent utilization of dietary Met sources for N retention during lactation when L-Cys-HCl was supplied to partially meet the estimated sulphur amino acid requirement (NRC, 2012), allowing Met sources to be evaluated independently of Cys limitation. On day 9 of lactation, sows were assigned to 1 of 4 dietary treatments (n=~14): a basal diet formulated at 0.17% standardized ileal digestible (SID) Met supplied via whole-protein sources (70% of estimated SID Met requirements; 0.25% SID Cys, 2,600 kcal/kg net-energy) supplemented with DL-Met to reach [1] 0.20% or [2] 0.23% SID Met (80% DLM and 90% DLM), or supplemented with HMTBa (equimolar) to reach [3] 0.20% or [4] 0.23% SID Met (80% HMTBa and 90% HMTBa). All other indispensable amino acids were supplied at estimated requirements (0.93% SID Lys). Litters were standardized to 13±1 piglets within 48 hours of birth. Sows received the dietary treatments between days 10 and 20 (weaning) of lactation following a standard feeding curve. A N balance was conducted between days 17±1 and 20±1 of lactation with total urine collection and fecal grab-sampling; TiO2 was used as an indigestible marker. A mixed model analysis was used to evaluate main effects of Met source (DL-Met or HMTBa) and level (80% or 90%). Neither dietary Met source or level influenced sow average daily feed intake, body weight or backfat depth change between days 10 and 20 of lactation. Though, piglet growth performance improved with the higher dietary SID Met level (P<0.05) for both sources. Milk dry matter and crude protein content on day 20 of lactation were not influenced by dietary Met source or level but crude fat tended to be higher in DL-Met than HMTBa fed sows (P=0.072). During the N balance, neither sow N intake or retention (N intake – N output in urine and feces) were influenced by dietary Met source or level. Milk N output increased with the higher dietary SID Met level (P<0.05) for both sources. Maternal N retention (N intake – N output in urine, feces, and milk) was not influenced by dietary Met source or level. Therefore, SID Met level but not source influenced N partitioning for milk output in lactation when L-Cys-HCl was included in the diet.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".