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Learn about the latest advancements in Angus genetic evaluation post-genomic implementation at AGI NBCEC. Discover the benefits of Single-Step genomics, improved models for carcass traits, expanded data sets, and updated genetic correlation estimates. Gain insights into the impact of SNP selection on genomic prediction and explore how Single-Step approach redefines pedigree relationships based on genetic markers. Join the discussion with industry experts to understand the enhanced accuracy and real-time use of genomic information in predicting progeny performance.
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After 7/7Genomic Implementation at AGI NBCEC, Brown Bagger, October 4th 2017 Stephen Miller, AGI Genetic Research Director Dan Moser, AGI President and AAA Director of Performance Programs Kelli Retallick, AGI Genetic Services Director
New and Improved Angus Genetic Evaluation Released 7/7/17 "Different isn’t always better, but better is always different." - Author Unknown JULY 2017
Enhancements to Angus Evaluation on 7/7/17 • Single Step genomics • Improved models for carcass traits • Additional genotypes and data • Updated heritability and genetic correlation estimates • Annual update of economic assumptions for $Values
Dan Moser, Ph.D AGI President Stephen Miller, Ph.D AGI Genetic Research Director Kelli Retallick, M.S. AGI Genetic Service Director Lizhen Wang, Ph.D AGI Research Geneticist Lou Ann Adams Director of Information Systems Gayle Billups Programmer Janice Blair Programmer Marg Dressman Software Engineer Jason Kenyon Assistant Director of Information Systems
Yutaka Masuda, Ph.D Shogo Tsruuta, Ph.D Ignacy Misztal, Ph.D Daniela Lourenco, Ph.D RomdhaneRekaya, Ph. D J. Keith Bertrand, Ph.D
Impact of SNP selection on genomic prediction for different reference population sizes Daniela Lourenco I. Menezes, B.O. Fragomeni, H.L. Bradford, S. Tsuruta, I. Misztal ADSA - June, 2017
Data + DNA = Selection Tools that Work • 7.9M birth weights • 8.6M weaning weights • 4.3M post-weaning gain records • 1.5M heifer calving ease scores • 116K carcass records • 1.9M ultrasound records • 21K individual intake records • 257K docility scores • 62K heifer pregnancy observations • 205K mature cow weights • 380K Genotypes
SS Genetic Trends more stable • Inflating trends with MS • SS and Classic trends very similar
Why Does the Phone Ring? How can two flushmates be this different on EPD? Why don’t genomic scores and EPD match?
Single Step Weights Genomics Variably Across the Population • Multi-step = “One size fits all” • Single Step • Weights genomics more for animals genetically “closer” to the data • Like having an accuracy value for the genomic component of the EPD • Animals distant from data will change less from DNA testing, and have lower EPD accuracy
Range among Full-Sibs has been known for aVERY long time Gregor Mendel 1822-1884 “Mendelian” Sampling
Single-Step Approach • Redefines pedigree relationships among animals based on genetic markers Aguilar et al, 2010
Single-Step Approach • Redefines pedigree relationships among animals based on genetic markers Aguilar et al, 2010
PGS - Semen PGD - Egg Sire
PGS - Semen PGD - Egg Sire
PGS - Semen PGD - Egg Sire
PGS - Semen PGD - Egg Sire
PGS - Semen PGD - Egg Sire Calf1
PGS - Semen PGD - Egg Sire Calf1
PGS - Semen PGD - Egg Sire Calf1
PGS - Semen PGD - Egg Sire Calf1
PGS - Semen PGD - Egg Sire Calf2 Calf1
PGS - Semen PGD - Egg Sire Calf2 Calf1
PGS - Semen PGD - Egg Sire Calf2 Calf1
PGS - Semen PGD - Egg Sire Calf3 Calf2 Calf1
the root of all progress Variation
Variation the root of all progress
Variation in BW EPD – ET progeny • 646 ET from commercial recipients – centered on +2 parental average
What does theory and Mendel say is possible? More range in “True EPD” possible than observed in EPD • 1,000 simulated progeny
Two ET Full sibs Sib A BW EPD 1.6 Genomic Score 61 Sib B BW EPD 2.5 Genomic Score 23
1/2 1/4 1/8 1/16 1/32 Expected Relationship of Schearbrook Shoshone to calf? 1/64
Calf with higher BW EPD is 15% MORE related to the higher BW EPD Ancestors
Calf with higher BW EPD is 13% LESS related to the lower BW EPD Ancestors
Summary of Changes • Narrower ranges for some traits, greater ranges for others • Minimal change for proven animals, considerable change for some young animals • More variation among half- and full-sibs • More current, real-time use of genomic information • More accurate prediction of progeny performance
Questions/Discussion Dan W. Moser, Ph.D. AGI President dmoser@angus.org 816-383-5196 Kelli Retallick, M.S. Genetic Service Director kretallick@angus.org 816-383-5190 Stephen Miller, Ph.D. Genetic Research Director smiller@angus.org 816-383-5157