Optimal Beef Cow Culling Strategies in the U.S. A Dynamic Linear Programing Framework

Erdal Erol, Carl Dillon, Kenneth H. Burdine

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
JournalJournal of Agricultural and Applied Economics
DOIs
StateAccepted/In press - 2024

Bibliographical note

Publisher Copyright:
© The Author(s), 2024.

Keywords

  • Beef-cattle
  • culling decisions
  • dynamic linear programing
  • pregnancy check
  • replacement cost

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'Optimal Beef Cow Culling Strategies in the U.S. A Dynamic Linear Programing Framework'. Together they form a unique fingerprint.

Cite this