PSVI-21 Evaluation of passive immunity transfer and performance of calves receiving different sources of immunoglobulins
Bibliographic record
Abstract
Abstract The efficiency in the passive immunity transfer (PIT) is directly associated with the production cost and productivity of the animals. When fresh maternal colostrum (FC) is not available, frozen colostrum or colostrum replacer (CR) are alternatives to avoid failures in PIT (FPIT). Thirty-nine Holstein calves were used in a randomized block design with gender, weight and date of birth as blocking effect, and distributed in treatments: 1) feeding of 10% BW of CF; 2) feeding of 10% BW of FC; 3) 1.5 dose of a CR (SCCL®, Saskatoon, Canada). Animals received 6L/d of milk until 56d of life when they were subjected to gradual weaning until the end of the study (63d). Feed intake and health was monitored daily, and weight and blood samples were weekly taken. The Brix value at 24h of life was higher in animals receiving maternal colostrum when compared to CR (FC: 9.52a; Frozen: 10.68a; CR: 8.23b; P < 0.01). The immunoglobulins intake was higher (P < 0.01) for calves fed with maternal colostrum (FC or Frozen), which may explain the differences observed in the apparent efficiency of absorption (P = 0.02). The colostrum protocols affected the serum IgG concentration assessed at 24h (FC: 26.65b; Frozen: 35.69a; CR: 16.93c; P < 0.01); however, no treatment resulted in FPIT, with values of serum IgG above 10g/L. Starter intake increased during the milk-feeding period (P < 0.01), with no effects of colostrum feeding. ADG was influenced by treatments (P = 0.01), with higher gains for calves fed FC, resulting in higher final BW (P = 0.04). During the milk-feeding period, plasma glucose and total serum protein were higher for FC than for CR calves, with no differences for calves fed frozen colostrum. Feeding FC resulted in heavier animals at weaning; however, the frozen colostrum and CR used in this study are adequate alternatives, with no FTIP observed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".