Impacts of calving management, calf risk factors, and difficult calvings on health and performance of beef calves
Bibliographic record
Abstract
Calf health and survival is crucial to successful cow-calf operations. Assisted calves are at a disadvantage compared to their herdmates because they may be injured, oxygen deprived, or less vigorous at birth. Determining evidence-based management practices to mitigate the effects of calving assistance on calf health and survival, as well as investigating risk factors associated with assisted calvings that affect transfer of passive immunity (TPI), morbidity, mortality, and growth, will help improve calf wellbeing. Therefore, the objectives of this thesis were to: benchmark the incidence of calving assistance and health outcomes, and describe current calving and colostrum management practices; to determine the impacts of subclinical trauma on calf vigour and TPI; and to investigate the impact of implementing pain mitigation at birth to assisted beef calves. Chapter 2 described current calving and colostrum management practices found on western Canadian cow-calf operations. Although the incidence of assisted calvings was low, the majority of producers assisted at least one calving, indicating the importance of understanding intervention and management strategies in compromised calves such as those assisted at birth. Chapter 3 quantified subclinical trauma associated with the degree of calving difficulty, and evaluated associations between subclinical trauma and calf vigour and TPI. Calves experiencing difficult births had elevated levels of subclinical trauma and decreased vigour. Subclinical trauma and reduced vigour were also associated with inadequate TPI. Chapters 4 and 5 investigated the clinical impacts of administering a non-steroidal anti-inflammatory drug to assisted beef calves at birth. In Chapter 4, calves administered meloxicam had greater average daily gain in the first week of life compared to placebo treated calves, but no effect was seen on pain and inflammatory mediators, vigour, TPI, health, or weaning growth. In Chapter 5, there was no effect of administering meloxicam to assisted calves on TPI, health, or growth, but vigour assessment and colostrum management were found to be important management tools associated with TPI, calf health, and growth. Therefore, calves assisted at birth experience subclinical trauma that affects their vigour and TPI. Pain mitigation strategies, vigour assessment, and colostrum management may be important tools to improve wellbeing in assisted beef 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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".