Hedonic modeling of Oklahoma cow auction data is used to determine the market value of bred cow characteristics. We use Agricultural Marketing Service data that let us consider more years and more lots of cattle than is typical for a cattle hedonic study. The greatest price premiums were for black, late-gestating cows, categorized as high quality by market reporters and weighing between 1,600 and 1,700 lb. Previous research on optimal cow size finds much smaller-size cows are optimal, and our research finds that larger cows receive a lower price per pound but still receive a substantially higher price per head.
Binary logit regression models were used to estimate factors affecting adoption of recommended management practices. Variables analyzed include aspects of farm structure, human capital, farm objectives, and production system employed by the producer. Results reveal that operation size and dependency upon income from the stocker operation, in particular, influence the adoption of recommended practices. Older producers and those pursuing a year-round production strategy were found to lag in adoption.
The COVID‐19 experience demonstrated how little some agribusinesses understood their supply chain. As companies were scrambling to determine how the shutdowns would impact their input suppliers, they surely perceived a need to prepare better for future pandemics. This article describes the practice of supply chain mapping, an activity used to better understand the upstream and downstream components of a company's supply chain. In addition to describing how mapping works, this paper illustrates how mapping can help identify supply chain vulnerabilities and reduce risk. Moreover, it discusses a number of other mapping benefits, including transparency in sustainability commitments and idea generation.
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