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

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 dif...

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Bibliographic Details
Published in:Journal of agricultural and applied economics 2024-08, Vol.56 (3), p.463-479
Main Authors: Erol, Erdal, Dillon, Carl R., Burdine, Kenneth H.
Format: Article
Language:English
Online Access:Get full text
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Summary: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.
ISSN:1074-0708
2056-7405
DOI:10.1017/aae.2024.20