Diets containing naturally occurring iron or naturally occurring iron plus supplemental ferrous sulfate both maintain normal hematological status in adult dogs
Bibliographic record
Abstract
Iron is an essential mineral for dogs due to its roles in physiological processes. The NRC recommends the adequate intake for iron in adult dogs is 0.5 mg/kg of body weight. While iron should be present in high enough concentrations in the diet to maintain normal hematological status and prevent iron deficiency anemia, too much dietary iron can increase lipid oxidation in the food during preparation and storage, subsequently reducing shelf life, palatability, and nutritional content of foods. In general, iron is supplemented to diets to ensure that no dogs are deficient. The primary objective of this study was to investigate the ability of a diet containing either 0 mg/kg or 80 mg/kg supplemental iron to support normal hematological parameters in adult dogs. Twenty-two adult dogs were randomly assigned to one of two treatment diets: Test Diet 1, Experimental maintenance formula with 115 mg/kg endogenous iron + 0 mg/kg supplemental iron; and Test Diet 2, Experimental maintenance formula with 115 mg/kg endogenous iron + 80 mg/kg supplemental iron (ferrous sulfate). Dogs consumed treatment diets for 26 weeks, with clinical assessments (e.g., hemoglobin concentration/total iron binding capacity) assessed throughout the trial (0, 2, 4, and 6 months). Baseline iron related endpoints were not different between diet treatments (P > 0.50), except for mean corpuscular hemoglobin concentrations (P = 0.046). No differences were found for iron related end points between the two diet treatments (P>0.05) at any time point. In some diets no supplemental iron will be needed, based on the diet matrix, whereas others may require some supplemental iron. By reducing iron inclusion in the formulations of canine diets, food stability and shelf life may be improved. This reduction in supplemental iron can also reduce cost of formulation, benefiting food manufacturers, consumers, and adult dogs.
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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 | 0.001 |
| 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 | 0.001 |
| 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".