Beef

Jason Franken

Aug. 14, 2024

Jason R.V. Franken

My research is interdisciplinary by nature, drawing from economics, marketing, and decision sciences to understand the organization of marketing channels (i.e., transactions, contracts, and cooperatives) for adding value and managing risk. Educational background Courses taught…

Cecilia Rocha

July 18, 2024

Cecilia Rocha

Cecilia has extensive experience in the field of reproductive physiology of beef cows. She develops applied and basic research aiming to increase reproductive efficiency in beef operations. Around 40 to 60% of cows lose a pregnancy in the first 30 days of gestation. Cecilia studies the main events that happen in this moment which could be manipulated to reduce pregnancy loss, such as, interferon-tau signaling, immune response of the uterus, and embryo-maternal crosstalk in uterine tissues. Educational background…

Carson Roberts

June 2, 2024

Carson Roberts

Roberts is an Assistant Professor and State Extension Specialist for Forage Agronomy at the University of Missouri. Roberts holds a Ph.D. in Plant and Soil Science from Mississippi State University. Roberts leads an applied research program on forage-livestock systems to support one of the largest beef herds in the U.S. He has a particular interest in in regenerative systems that improve drought resiliency. Educational background…

Thiago Martins

Jan. 22, 2024

Thiago Martins

Our laboratory conducts studies on the topics of hormonal control of the estrous cycle and early embryonic losses in beef cattle. Specifically, we investigate progesterone-based strategies to improve efficiency of estrous synchronization programs for beef cows, embryo-maternal communication, and new fertility-promoting molecules. The research studies involve use of steroid assays, ultrasound, molecular techniques, and omics approaches. Our laboratory is also committed to promoting the use of reproductive biotechnologies in cow-calf operations. Educational background…

Jamie Courter

Oct. 15, 2023

Jamie Courter

Educational background…

June 29, 2021

Jaapna Dhillon

Educational background…

Derek Brake smiling.

Sep. 16, 2018

Derek Brake

Educational background Courses taught…

Jordan Thomas

March 4, 2018

Jordan Thomas

Jordan Thomas is an assistant professor in the Division of Animal Sciences at the University of Missouri. Dr. Thomas is a Missouri native and University of Missouri alumnus, having earned his Ph.D. in Animal Sciences with an emphasis in Reproductive Physiology in 2017. Dr. Thomas maintains an active applied research program in reproductive management of beef cattle, coordinating the breeding program for cattle across the University of Missouri Agricultural Experiment Station Research Center herds. Additionally, Dr. Thomas is active in collaborative efforts in education and outreach, such as the Show-Me-Select Replacement Heifer Program, the National Center for Applied Reproduction…

Eric Bailey smiling.

Nov. 12, 2017

Eric Bailey

Eric Bailey is an Associate Professor and State Beef Nutrition Specialist at the University of Missouri. Bailey holds a Ph.D. in Beef Cattle Nutrition from Kansas State University. Bailey leads applied research on backgrounding and stocker cattle, with an emphasis on management of them on tall fescue pasture systems. Bailey leads the MU Extension Feedlot School program, is co-coordinator of the Missouri Grazing Schools, and the co-director of the Forage-Livestock Program of Distinction. Educational background…

Portrait of Jared Decker

Nov. 9, 2017

Jared E. Decker

IDENTIFYING LOCI RESPONDING TO SELECTIONIn 2012 Decker published a method, now called Generation-Proxy Selection Mapping, to identify loci responding to current selection. In this analysis, birth date (as a surrogate to generation number) is fit as the dependent variable in a mixed model equation. Variants that have changed in frequency rapidly due to selection are strongly associated with birth date, thus the method identifies regions under selection. The mixed model equations correct for demography, relatedness, and population structure within the data. We have previously used this method in Angus cattle using approximately 45,000 SNPs. In…