A 2‐fold increase in threonine intake is required in late pregnancy
Bibliographic record
Abstract
Current recommendations for amino acid (AA) intake during pregnancy in humans and pigs are for a single intake throughout. This is illogical because requirement should be higher in late pregnancy due to dramatic increases in conceptus growth during the 3 rd trimester. THR requirement was determined using the indicator amino acid oxidation method in eight multiparous sows using L[1‐ 13 C]phenylalanine. Sows received diets ranging from 20 to 180% of the current recommended THR intake (10 gd −1 ) based on BW, expected pregnancy weight gain and litter size. Tracer phenylalanine was given orally in 8 ½‐hourly meals and expired 13 CO 2 was quantified. Data was analyzed using a nonlinear Mixed model. Sow reproductive performance was similar to commercial standards. The THR requirement in early pregnancy was 4.9 gd −1 (R 2 =0.71) and in late pregnancy was 12.8 gd −1 (R 2 =0.58), compared to the recommendation of 10 gd −1 . Nutritional regimes in pregnancy should account for changes in AA requirement during pregnancy to reduce the risk of overfeeding AA in early pregnancy and underfeeding AA in late pregnancy. Grant Funding Source : AB Pork, ON Pork, ALIDF, ACAAF, Ajinomoto
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".