The economic impacts of the bovine respiratory disease complex on beef cattle feedlots from Brazil
Bibliographic record
Abstract
Bovine respiratory disease (BRD) is a common cause of morbidity and mortality in beef cattle feedlots from countries such as USA, Canada, and Australia. However, data relative to the economic impacts, morbidity, and mortality are scarce in Brazil. This study investigated the incidence of BRD in 10 beef cattle feedlots from different geographical regions of Brazil, during January/2019 to December/2020, with a total of 699,526 cattle on feed. The incidence of general morbidity was 3.6%, while BRD-associated was 2.1%. The incidence of general mortality rate identified was 0.38% and the mortality rate BRD-associated was 0.08%. BRD accounted for 57.9% and 22.1% of all disease cases and deaths, respectively. The average body weight was 14.9 kg higher in cattle without BRD compared to cattle with BRD. The costs of BRD-related mortality and morbidity were estimated at $ 777.98 USD/animal and $ 51.4 USD/animal, respectively, and resulted in an estimated annual loss of $ 6.9 million USD due to morbidity and $ 4 million USD due to mortality. This is the only study in Brazil that investigated the incidence of BRD and the impact on production/economics and the data herein obtained can be used as the starting point to understand the BRD-related losses in the local cattle industry.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".