Objectives. ERTs for the New Beef Industry. Ancient History. The EPD we produce entirely depends on the tools we have to use them.

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Bruce Golden, Cal-Poly 6/19/14 Objectives ERTs for the New Beef Industry B. L. Golden 1California Polytechnic State University, San Luis Obispo Ancient History Breeds 1881-1883 First American breed associations formed Hereford Shorthorn Angus Numerous other breeds imported 1936 Charolais 1960 s others Development of U.S. breeds 1918 Santa Gertrudis 2014 BIF Symposium, Lincoln, Neb. Review and Chronicle the Principle of Economically Relevant Traits (ERT) Make a point about incomplete investment The EPD we produce entirely depends on the tools we have to use them. Registered Purebred Historically, virtually solely responsible for genetic improvement. Historically reluctant to embrace new genetic technology (Benyshek, et al., 1997). Visual Appraisal 1

Performance Records * 1936 - Miles City cattle production records program 1941-1st gain test in Texas 1945-1950 - State BCI programs 1955 - Virginia was 1st BCIA 1955 - PRI formed in TX 1959 - RAAA required performance for registration 1964-5 breeds had performance programs 1965 - ASAS s U.S. Beef Cattle Records Committee Report Recommended Procedures for Measurement of Traits of Economic Importance Who would process the data and implement? PRI State BCIA s Breed associations * Eller, A. L., 2007 1968 Cattle Evaluation 1971-1972 American Simmental Sire Summary 1972 - C.R. Henderson s Lush Symposium paper 1972-1st BIF Guidlines 1974-1979 - BLUP implemented for several breeds EPDS became the standard Mostly designed sire evaluation programs 1952-1st language compiler, A-0 1962 - DEC s LINC-8 became the first laboratory computer for faculty - Mostly Biomed research 1 1955-1st fully transistorized computer TRADIC AT&T Bell Labs 1965 - PDP-8 2 1957 - IBM invented FORTRAN 1969 - Unix was developed 2 http://www.computerhistory.org 1 http://ed-thelen.org/comp-hist/vs-dec-linc-8.html 2 http://www.computerhistory.org 2014 BIF Symposium, Lincoln, Neb. 2

Bruce Golden, Cal-Poly 6/19/14 1974-1979 BLUP Sire Models Modern History y = Xb + Zs + e Angus Hereford Polled Hereford Shorthorn Limousin Red Angus y = Xb + Zs + e 1975 to 1995 Early 1980 s Big Iron Breed Associations 1989 - ~ 20 breed associations conducting genetic evaluations mid 1990 s - Online reporting and recording Fundamental shift in associations roles 2014 BIF Symposium, Lincoln, Neb. Strategic Milestones 1995 1995 1995 1996 2004 - Whole Herd Reporting International Cattle Evaluation (ICE) Online reporting and recording Across Breed Comparisons Economic Indexes Breeding objectives 1994 (Harris and Newman) 3

In-House Evaluation & Non- University Service Providers 1998 - ASA 2003 - AAA 2008 - Limousine 2008 - Red Angus More models Algorithms Approaches Other Technological Milestones 2001 - Molecular Information More Traits 1983(?) - Maternal milk 1985 - Calving ease 1986 - Gestation length? Scrotal Circumference 1990 - Carcass traits 1993 - Docility 1995 - Stayability 1997 - Heifer pregnancy 2003 Maintenance energy Sire Summary of the Future? Birth direct Birth maternal Weaning direct Weaning maternal Total maternal Yearling direct 600 d direct Calving direct Calving maternal Carcass wt Rib fat Rump fat LMA Marb score Quality grade % Retail yield Lbs (kg) retail yield Yield grade Us LMA US rib fat Us % IMF Fat percentage Condition score Gestation length Days to calving Calving interval Stayability Heifer pregnancy rate Rebreeding rate Calf weaned/cow exposed Scrotal circumference Pelvic area Frame score Muscle score Udder score Docility Tick score Parasite egg count Mature weight Maintenance energy Feed efficiency Drop weight Type score Uterine score Tooth score Precocity score Feedlot feed consumption Feedlot surv. Pre-wean surv. Serving capacity Serving proportion Semen volume Hip height Leg score Length productive life Doing ability Grand-maternal weaning Twinning rate Days to 11mm BF Days to 75% Choice Days to carc wt. Hair whorl score Average daily gain Wt. /day of age Liver weight Resting heart rate Pulmonary arteriole pressure Brisket disease rate Bravery Aggression 2 Categories of Traits Indicator traits Economically relevant traits 2014 BIF Symposium, Lincoln, Neb. 4

Economically Relevant Traits 2000 Indicator Trait Economically relevant traits are the traits that directly affect profitability by being associated with a specific cost of production or an income stream. A trait with a genetic correlation to an ERT so that including it in the EPD production analysis increases the accuracy of the ERT EPD. Golden, B.L., D.J. Garrick, S. Newman, and R.M. Enns. 2000. Economically relevant traits: A framework for the next generation of EPDs. Proc. Beef Improvement Federation 32nd Annual Research Symposium and Annual Meeting, Wichita, Kansas. pp 2-13. " Using EPD of indicator traits in a selection decision DECREASES the accuracy of the selection decision Scrotal Circumference Indicator Trait or ERT? Heifer Pregnancy Rate Indicator Trait or ERT? 2014 BIF Symposium, Lincoln, Neb. 5

Weaning Weight Indicator Trait or ERT? Should indicator traits be measured? Should indicator trait EPD be published? Why do we publish Birth Weight EPD? Guideline: Only publish EPD that are used in any type of Partial Budget Decision Analysis Partial Budget Decision Analysis Any analysis that predicts the financial impact of incremental changes in revenue and costs from alternative decisions. Sire Summaries Have Gotten Better Selection Indexes More fertility EPD Elimination of ultrasound EPD Working toward feed consumption EPD Still have a lot of Birth Weight EPD Some others 2014 BIF Symposium, Lincoln, Neb. 6

Bruce Golden, Cal-Poly In 2000 (14 years ago): 6/19/14 EPDs are just parameters Not answers to be used in an optimal manner, ERT-EPD should be used in a decision-making framework incorporating the breeder s/producer s desires for longer-term viability of their production system. Finally, systems that are better than EPDs should be developed for presentation to bull breeders and bull buyers. Do a better job of Decision Analysis Relatively little work in decisions analysis tools The Age of Genomic Data Decisions are more complex and expensive Questions: Who do you genotype and with what density? Questions: How do you use the information? E.g., Accuracy Purebred Breeder Commercial Producer 2014 BIF Symposium, Lincoln, Neb. 7

New Models and Methods Allow New Things " " + + We Need Production Simulation Models Models for producers Models for breeders What ERT we produce completely depends on the models We Need Investment 2014 BIF Symposium, Lincoln, Neb. 8