PSLBI-18 Isoleucine requirements of young adult and senior Labrador retrievers
Bibliographic record
Abstract
Abstract Age-appropriate diets that meet the unique nutritional needs of aging are in greater demand as senior dogs represent an increasing percentage of the pet population. Studies targeting the specific amino acid requirements of the aging canine are important because they may inform dietary formulations for this specific life stage. In this study, the indicator amino acid oxidation (IAAO) technique was used to determine the minimum requirements for isoleucine (Iso) in young adult and senior Labrador retrievers. After 2-d adaptation to Iso-adequate basal diet (Iso = 0.608% dry matter), dogs underwent individual IAOO studies. In brief, all dogs were randomly fed one of six test diets with varying levels of isoleucine ranging from deficient to sufficient (final Iso content in experimental diets were 0.244, 0.285, 0.326, 0.532, 0.57 and 0.608% dry matter). Test diet was divided into 13 equal meals; at the 5th meal, a tracer amino acid was supplied (a bolus L-[1-13C] phenylalanine based on body weight was first given, followed by [1-13C] Phe doses every 30 min spanning a 4 h period), and breath samples were collected via respiration mask every 30 min. CO2 production was determined via indirect calorimetry and production of 13CO2 at each dose was measured by enrichment of 13C in breath samples via isotope ratio mass spectrometry (IRMS). Results for IRMS data were converted to atom percent excess (APE) and analyzed using segmented linear regression. The Four Rivers mean and population requirements for isoleucine were 898 ± 71 mg/1,000 kcal ME (mean ± 2 SD) for young adults and 885 ± 91 mg/1,000 kcal ME (mean ± 2 SD) in senior dogs, which is slightly greater than the National Research Council’s minimum requirement. As the pet food industry offers more specialized diets for aging canines, updating the amino acid requirements for such animals is increasingly important.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".