An Evaluation of Temporal Distributions of High, Low, and Zero Cohort Morbidity of Cumulative First Treatment Bovine Respiratory Disease and Their Associations with Demographic, Health, and Performance Outcomes in US Feedlot Cattle

SIMPLE SUMMARY: Cluster analyses were performed on the cohort temporal distributions of bovine respiratory disease BRD. Results illustrated that the optimal number of clusters differed by the level of morbidity within the cohort. Different temporal patterns of cumulative first treatment BRD which could influence disease prevention and control techniques were identified. Descriptive and statistical associations of risk factors for each cluster better describes the cattle represented within each cluster. More research is needed to understand the potential economic impact each cluster has on feedlot production. Improved understanding of cohort timing and magnitude of BRD could potentially identify interventions to mitigate disease burden and economic impacts. ABSTRACT: Timing and magnitude of bovine respiratory disease (BRD) can impact intervention and overall economics of cattle on feed. Furthermore, there is a need to better describe when cattle are being treated for BRD. The first objective was to perform a cluster analysis on the temporal distributions of cumulative first treatment BRD from HIGH (≥15% of cattle received treated for BRD) and LOW cohorts (>0 and <15% of cattle received treated for BRD) to assess cohort-level timing (days on feed) of BRD first treatments. The second objective was to determine associations among cluster groups (temporal patterns) and demographic risk factors, health outcomes, and performance. Cluster analysis determined that optimal number of clustering groups for the HIGH morbidity cohort was six clusters and LOW morbidity cohort was seven clusters. Cohorts with zero BRD treatment records were added for statistical comparisons. Total death loss, BRD morbidity, average daily gain (ADG), railing rate, days to 50% BRD, cattle received, shrink, arrival weight, and sex were associated with temporal groups (p < 0.05). These data could be used as a tool for earlier identification and potential interventions for cohorts based on the BRD temporal pattern.