Eric A. DeVuyst

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Although several previous studies have identified associations between cattle carcass characteristics and various SNP, comparatively little work has sought to validate the marker panels currently sold and marketed by commercial genotyping companies. Panels typically use a handful of SNP, but these range from as few as 2 to more than 100. Data from 764(More)
Prior research indicates that a SNP at position 305 of exon 2 in the leptin gene affects milk production in dairy cows. Dairy cows with at least one copy of the T allele have been shown to have higher milk production than CC cows. If that effect carries over to beef breeds, it is reasonable to expect that CT and TT beef cows will wean heavier calves than CC(More)
We estimate the value of using information from genetic marker panels for seven economically relevant feedlot cattle traits. The values of using genetic information to sort cattle by optimal days-on-feed are less than $1/head for each of the traits evaluated. However, the values associated with using genetic information to select cattle for placement are as(More)
This study was designed to explore consumers' perceptions about and knowledge of USDA beef quality grades. Data were collected from over 1,000 consumers in online surveys in November and December 2013, and estimates were weighted to force the sample to mirror the U.S. population in terms of age, gender, education, and region of residence. When asked to rank(More)
We develop a model of firm behavior in the presence of risk, resource constraints, and a cash flow constraint. Given imperfect capital markets, the producer confronts an uncertain cash flow. Utilizing chance constrained programming,we show that an increase in aversion to liquidity risk can cause an increased allocation to high-risk production alternatives.(More)
Although genetic tests for many economically important beef cattle traits are commercially available, additional information is needed to help the industry better understand how the results from these tests translate into phenotypic outcomes. This information has important implications for marker-assisted management. The objective of this research was to(More)