PSX-28 Assessment of a Neonatal Supplement to Improve Health in Cattle
Bibliographic record
Abstract
Abstract The objective of this study was to evaluate an easy to administer and economical oral nutritional supplement for neonatal calves. Neonates are at risk of nutrient deficiencies because of maternal deficiencies, low body stores at birth and low nutritional intake. The pre-ruminating calf relies solely on milk for adequate immunity and nutrition until they begin ingesting forage. Insufficiencies can lead to increased morbidity and mortality. However, deficiencies in the cow are common due to variation in management, feeding and health protocols. A total of 21 beef calves in year 1 and 40 in year 2 were enrolled in the study. The calves were divided into experimental and control groups which received a vitamin-mineral supplement (VitaFerst-Care) and a saline solution at 1-3 days of age, respectively. Blood samples were collected, before, and again after supplementation (d 14 in yr 1 and d 3 in yrr 2) by jugular venipuncture. Iron and selenium concentrations were determined in blood serum of a subset of calves (n = 21 in yr1, n = 40 in yr2) by ICP-MS. All beef calves remained on their mothers. In yr 1, control calves had stable iron concentrations at 1.35 + 0.62 ppm (d 0) and 1.33 + 0.77ppm (d 14), with 50% of calves deficient. Iron concentrations in treatment calves increased slightly from 1.17 + 0.56 ppm to 1.43 +0.65 ppm. In yr 2, iron concentrations of control calves changed slightly from 1.69 + 0.91 ppm (d 0) to 1.98 +2.24 ppm (d 3). The iron concentrations in treatment calves further increased from 1.86 + 0.67 ppm to 2.33 + 2.16 ppm. Selenium concentrations were deficient in all calves in yr 1 (0.06 + 0.01 ppm) and year 2 (0.07 + 0.02 ppm) with no significant changes between treatment groups. This research provides insight regarding the severity and prevalence of nutrient deficiencies in newborn calves. All calves in the study were deficient in selenium, and between 30 to 50% were deficient in iron each year. Following supplementation, there was no significant increase in blood mineral concentrations between d 0 and d 14; however, between d 0 and d 3 there was a significant increase in blood iron concentration of calves.
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 | 0.001 | 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".