BIF To Host Genetic Prediction WorkshopBIF To Host Genetic Prediction Workshop
The Beef Improvement Federation is hosting its annual Genetic Prediction Workshop in Kansas City this December.
November 4, 2013
The Beef Improvement Federation (BIF) will host a Genetic Prediction Workshop in Kansas City, MO, Dec. 12-13 at the Holiday Inn KCI Airport and KCI Expo Center, 11728 NW Ambassador Drive.
The conference is designed to give academic, allied industry, breed association staff and cattle producers a forum to learn about and discuss the latest developments in beef cattle genetic evaluation strategies. The implementation of genomics technologies in national cattle evaluation systems will be the focus of discussion.
Speakers will highlight the experiences and current status of technology deployment at several major U.S. breed associations, experiences developing genomic predictions of genetic merit and alternate strategies for computation of genomically enabled EPDs. The conference will also feature discussion of planned modifications to the system used to compute the across-breed EPD adjustment factors at the U.S. Meat Animal Research Center.
A USDA multi-state project (NCERA-225) focused on implementation and strategies for national beef cattle genetic evaluation will meet prior to the Genetic Prediction Workshop. This meeting will feature station reports and research updates from a number of committee members.
Registration for the BIF Genetic Prediction Workshop is $100 and includes a buffet breakfast, lunch, dinner and breaks during the conference. For NCERA committee members, an additional registration of $25 is required and includes a breakfast and break for this portion of agenda. Attendees must preregister for the events by Dec. 1. Online registration and full agenda is available at www.ksubeef.org in the Upcoming Beef Events section.
You might also like:
You May Also Like
The dollars and sense of sustainabilityFeb 18, 2023
Current Conditions for
New York, NY
Enter a zip code to see the weather conditions for a different location.