Abstract
This study explores the economics of culling decisions in cow-calf operations in the Southern U.S. with a novel application of a dynamic mathematical programing model. The results provide an optimal culling strategy under the base model and a range of optimal strategies that vary with respect to different components such as fertility probabilities, prices, replacement costs, and pregnancy checking. The results suggest that producers should cull all cows that are older than age 10 and cows that fail to calve once they reach the age of 7. The sensitivity analysis underlines the impact of market conditions, replacement costs, and pregnancy check use on the optimal culling decisions.
| Original language | English |
|---|---|
| Pages (from-to) | 463-479 |
| Number of pages | 17 |
| Journal | Journal of Agricultural and Applied Economics |
| Volume | 56 |
| Issue number | 3 |
| DOIs | |
| State | Published - Aug 2024 |
Bibliographical note
Publisher Copyright:© The Author(s), 2024.
Funding
This work was supported by Hatch Project no. KY004058 from the USDA National Institute of Food and Agriculture.
| Funders | Funder number |
|---|---|
| US Department of Agriculture National Institute of Food and Agriculture, Agriculture and Food Research Initiative | |
| USDA‐NIFA Hatch Project | KY004058 |
Keywords
- Beef-cattle
- culling decisions
- dynamic linear programing
- pregnancy check
- replacement cost
ASJC Scopus subject areas
- Agricultural and Biological Sciences (miscellaneous)
- Economics and Econometrics
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