Peer-reviewed veterinary case report
Using Feedlot Operational Data to Make Valid Conclusions for Improving Health Management.
- Journal:
- The Veterinary clinics of North America. Food animal practice
- Year:
- 2015
- Authors:
- Theurer, Miles E et al.
- Affiliation:
- Kansas State University · United States
Plain-English summary
This study looked at how data from cattle feedlots can help track the health and performance of cattle, as well as how different management practices might affect these outcomes. While this information can be very helpful for farmers, it's important to recognize that there are some limitations to the data that need to be considered. By carefully evaluating the quality of the data and being aware of any biases, researchers can gain a better understanding of cattle health and improve health management strategies. Overall, the study emphasizes that good conclusions come from a clear understanding of both the strengths and weaknesses of the data used.
Abstract
Feedlot operational data can be useful for monitoring cattle health and performance outcomes and evaluating associations between these outcomes and potentially important cattle population or management factors. Operational data are inherently relevant to clients; however, there are potential limitations that need to be considered to make appropriate conclusions. Assessing data quality, potential for bias, data distributions, and multiple health outcomes can provide a more thorough understanding of feedlot cattle health and factors that may affect health management systems. Accurate and useful information is derived only when the advantages and limitations of the data and the analysis process are fully understood.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/26210763/