The Power of Economic Selection Indices to Make Genetic Change in Pro;itability

Similar documents
EFFICIENCY OF THE COW HERD: BULL SELECTION AND GENETICS

Effective Use Of EPDs. Presented to: Minnesota Beef Producers Presented by: Kris A. Ringwall, Ph. D. NDSU Extension Beef Specialist

Understanding and Utilizing EPDs to Select Bulls

USING GENOMICS TO AFFECT COW HERD REPRODUCTION. Matt Spangler University of Nebraska-Lincoln

Goal Oriented Use of Genetic Prediction

SELECTION FOR IMPROVED FEED EFFICIENCY: A GENOMICS APPROACH. Matt Spangler, Ph.D. University of Nebraska-Lincoln

Beef Sire Selection for Cattle Genetic Improvement Program (Updated February 19, 2014)

Management Decisions. Management Decisions. Tradition. Legacy. ReproGene /3/2018. Jared Decker, University of Missouri 1

EPD Info 1/5. Guide to the American Gelbvieh Association Expected Progeny Differences (EPDs)

Ma# Spangler Sept. 8, 2016

Canadian Hereford Association

Using EPDs in a Commercial Herd

MOOTOPIA: AN ANIMAL BREEDERS WISH LIST FOR THE BEEF INDUSTRY. Matt Spangler University of Nebraska-Lincoln

GENETIC IMPROVEMENT FOR FORAGE USE GENETIC IMPROVEMENT PRINCIPLES FOR THE COWHERD 1/2/2014. Qualifications. Matt Spangler University of Nebraska

Using Live Animal Carcass Ultrasound Information in Beef Cattle Selection

We are in the bull business

MARK GARDINER. GARDINER ANGUS RANCH Ashland, Kansas U.S.A.

Overview. 50,000 Markers on a Chip. Definitions. Problem: Whole Genome Selection Project Involving 2,000 Industry A.I. Sires

Red Angus Guide to EPDs

Alison Van Eenennaam, Ph.D. Cooperative Extension Specialist

EPDs and Reasonable Expectations in Commercial Crossbred Operations

Selecting and Sourcing Replacement Heifers

Do EPDs Work? 6/2/17. Tom Brink, Red Angus Association of America BIF Symposium, Athens, Ga. 1. Field Testing $Beef in Purebred Angus Cattle

Complete Dispersal of Broseco Ranch herd

Understanding and Applying Economically Relevant Traits (ERT) and Indices for the Commercial Cattle Rancher

Proceedings, The Range Beef Cow Symposium XXIII December 3, 4 and 5, 2013 Rapid City, South Dakota

Traits and Tools for Retention and Replacement of Females

OLSEN RANCHES, INC. N359. Art Olsen Douglas Olsen

Selecting the Right Replacement. Robert S. Wells, Ph.D., PAS Livestock Consultant

IMPROVING YOUR BOTTOM LINE.

USING PERFORMANCE TECHNOLOGIES. Matt Woolfolk ASA Annual Meeting Educational Forum December 1, 2018

Understanding EPDs and Accuracies

TECHNICAL BULLETIN December 2017

Alison Van Eenennaam, Ph.D.

Understanding Expected Progeny Differences (EPDs) Scott P. Greiner, Extension Animal Scientist, Virginia Tech

OLSEN RANCHES, INC. L574. Art Olsen Douglas Olsen

Predicting Profit. The Rancher s Guide to EPDs

Australian Simmental Selection Indexes

Genetic Evaluations. Stephen Scott Canadian Hereford Association

CHOOSING A BREEDING BULL

Can Selection Indexes Improve Profitability in Beef Cattle

Selecting the Right Genetics (Matching Cows to your Environment) David W. Schafer Arizona Beef Day July 29, 2009

ECONOMICALLY RELEVANT TRAITS AND SELECTION INDICES

Proceedings, The Range Beef Cow Symposium XVIII December 9, 10, 11, 2003, Mitchell Nebraska

Proceedings, The Range Beef Cow Symposium XXII Nov. 29, 30 and Dec. 1, 2011, Mitchell, NE. IMPLEMENTATION OF MARKER ASSISTED EPDs

Alison Van Eenennaam, Ph.D.

BEEF SDSU Cow/Calf Teaching and Research Unit 1. Cody Wright, Kevin Vander Wal, and George Perry

Beef cattle genetic evaluation in Australia ~ BREEDPLAN. Robert Banks AGBU

Benchmark Angus. Engineering Superior Beef

Creating Premium Beef Maximizing Dairy Profit

Choices in Breeding Programs to Fit Your Environment

GENETIC STRATEGIES TO MAXIMIZE PROFIT

Pregnancies for Profit. Beef x Dairy Sires

Using Genomics to Affect Cow Herd Reproduction

What s new in beef cattle genetics

Impact of Selection for Improved Feed Efficiency. Phillip Lancaster UF/IFAS Range Cattle Research and Education Center

OLSEN RANCHES, INC. Art Olsen Douglas Olsen

29 th Annual BIC Bull Sale

COW CALF BREEDING AND GENETICS. Dhuyvetter

TECHNICAL BULLETIN GENEMAX ADVANTAGE IS DESIGNED FOR COMMERCIAL BEEF HERDS. August Zoetis Genetics 333 Portage Street Kalamazoo, MI

TECHNICAL BULLETIN GENEMAX ADVANTAGE IS DESIGNED FOR COMMERCIAL BEEF HERDS. August Zoetis Genetics 333 Portage Street Kalamazoo, MI

TECHNICAL SUMMARY April 2010

Beef - Horse - Poultry - Sheep - Swine. August 2016

Value-Based Marketing for Feeder Cattle. By Tom Brink, Top Dollar Angus, Inc.

Measuring Cow Efficiency in the Herd. Ryon S. Walker Livestock Consultant Noble Research Institute

Robert S. Wells, Ph.D., PAS Livestock Consultant

Sire Selection. Dr. Tim Marshall Retired UF Professor of Animal Science Retired Dean and Professor, Abraham Baldwin Agricultural College

REPLACEMENT HEIFER DEVELOPMENT & NUTRITION

Breeding Objectives Indicate Value of Genomics for Beef Cattle M. D. MacNeil, Delta G

2015 Producer Survey Results

COW HERD REPLACEMENT. John Dhuyvetter NCREC NDSU Extension

Enhancing End Product

Alison Van Eenennaam, Ph.D.

Got Milk? An Economic Look at Cow Size and Milk. July 13 th, 2015

New Zealand Hereford Selection Indexes

FREQUENTLY ASKED QUESTIONS

1 This research was conducted under cooperative agreements between USDA, ARS, Montana Agric. Exp.

Controlling the Cost of Beef Production through Improving Feed Efficiency

2018 ICBF and Sheep Ireland Genetics Conference 20 th Anniversary. Dorian Garrick

Breeding for Tuberculosis and Liver Fluke Resistance. Siobhán Ring Irish Angus Meeting, 7 th February 2019

Why Do They Discount My Heifers So Much? T.A. Thrift and J. Savell University of Florida

The Data Which Breeders May Collect For BREEDPLAN Analysis Includes: Flight time (from bail head to light beam)

Maternal Versus Terminal Crossbreeding Systems: A Six-Year Study at University of Nevada Gund Research and Demonstration Ranch

The Big Picture: Road ahead for the cattle business

WHETHER dealing with a commercial

Crossbreeding for the Commercial Beef Producer Alison Van Eenennaam, University of California, Davis

WAGYU BREEDOBJECT $INDEXES TECHNICAL UPDATE

Proceedings, The Range Beef Cow Symposium XXI December 1, 2 and , Casper, WY. Integrating Information into Selection. Loren Berger.

Mark Enns BIF 2013 LA- C- EP Commi9ee Breakout 6/13/13. Beef industry has historically adopted technology EPD Ultrasound

MCA/MSU Bull Evaluation Program 2016 Buyer Survey and Impact Report

Marketing Simmental Cattle. Alana Lunn Canadian Simmental Association

New Zealand Simmental Selection Indexes

Profiting from Information Management and Genomics

IMPROVING EPD ACCURACY BY COMBINING EPD INFORMATION WITH DNA TEST RESULTS 1. Alison L. Van Eenennaam

Utilization of Molecular Information to Date. Methods of Reporting (past and present)

Janssen Re d An g u s

Genetics of Beef Cattle: Moving to the genomics era Matt Spangler, Assistant Professor, Animal Science, University of Nebraska-Lincoln

Throughout this manual, the goal has been to improve the

Pregnancy Rates. Jack C. Whittier Colorado State University. !I am not an economist and I do not. ! Biology and interactions

Transcription:

The Power of Economic Selection Indices to Make Genetic Change in Pro;itability Darrh Bullock, University of Kentucky Donnell Brown, R. A. Brown Ranch Larry, Red Angus Association of America History of Selection Visual Appearance/Local Adaptation Breed Creation History of Selection Visual Appearance/Local Adaptation Breed Creation Actual Performance Robert Bakewell, Jay Lush History of Selection Visual Appearance/Local Adaptation Breed Creation Actual Performance Robert Bakewell, Jay Lush Breeding Values (EPD) C. R. Henderson History of Selection Visual Appearance/Local Adaptation Breed Creation Actual Performance Robert Bakewell, Jay Lush Breeding Values (EPD) C. R. Henderson Inclusion of Genomics Molecular Enhanced EPDs + Data + Pedigree = EPD Yearling Weight Trends Kuehn and Thallman BIF Proceedings 216 217 BIF Symposium, Athens, Ga. 1

Milk Trends 25 Angus Genetic Trends Milk 2 15 1 5 Kuehn and Thallman BIF Proceedings 216-5 1972 1973 1974 1975 1976 1977 1978 1979 198 1981 1982 1983 1984 1985 1986 1987 1988 1989 199 1991 1992 1993 1994 1995 1996 1997 1998 1999 2 21 22 23 24 25 26 27 28 Birth Weight Trends Red Angus GeneBc Trends BW EPD 85 75 65 55 45 35 25 15 5-5 WW Required 1966 1962 1958 1954 Within Herd EBVs 1978 1974 197 EPDs 214 21 26 22 1998 1994 199 1986 1982 Kuehn and Thallman BIF Proceedings 216 Birthyear EPD 85 75 65 55 45 35 25 15 5-5 Red Angus GeneBc Trends BW WW YW WW Required 1966 1962 1958 1954 Within Herd EBVs 1978 1974 197 EPDs Birthyear 214 21 26 22 1998 1994 199 1986 1982 217 BIF Symposium, Athens, Ga. 2

Evolution of Seedstock Selection Tools Visual Visual + Actual Weights Visual + Adjusted Weights and Ratios Visual + EPDs Visual + EPDs (ERTs) Visual + Genomically Enhanced EPDs Visual + Selection Indices What is a selection index? SI = a 1 *EPD 1 + a 2 *EPD 2 + a 1 *EPD 1 + a i *EPD i a i = Economic Weighting for Trait i EPD i = Expected Progeny Difference for Trait i SI difference is expected value difference per calf Example SI = 2*CED + 1.5*WW +.25*Milk Bull A CED = 7 WW = 4 Milk = 15 SI = $78 Bull B CED = 15 WW = 35 Milk = 11 SI = $85 Bull B has $7/calf increased value 217 BIF Symposium, Athens, Ga. 3

Why Selection Indices? ProPit Motivated Why Selection Indices? ProPit Motivated Pro;it = Income - Costs Why Selection Indices? Do Selection Indices Work? ProPit Motivated Breeding Objectives Compatible Multi- trait Selection Simple 19 18 17 16 15 14 13 Hereford Trends for BMI y =.15x - 293 R² =.98 y =.31x - 61 R² =.99 12 1985 199 1995 2 25 21 215 22 14 12 1 8 6 4 2 Angus Trends for $B y = 4.41x - 8756 R² =.99 y = 3.8x - 7534 R² =.97 1985 199 1995 2 25 21 215 22 217 BIF Symposium, Athens, Ga. 4

Donnell Brown, Darrh Bullock and Larry Field- test for $B Angus Trends for $B y = 5.52x - 1996 R² =.97 12 Low $B $47 High $B $141 14 1 8 y = 4.41x - 8756 R² =.99 6 y = 3.33x - 661 R² =.97 4 2 1985 199 1995 2 25 21 215 Field- test for $B Expected Difference Based on $B values = $187.38 Actual Difference in Carcass Value = $215.47 22 Field- test conducted by Gardiner Angus Ranch, Top Dollar Angus, Inc., Triangle H Grain and CaQle Co. and ZoeSs, Inc. January 217 What is Available Terminal Index Weaning/Replacement Index All- Purpose Index Field- test conducted by Gardiner Angus Ranch, Top Dollar Angus, Inc., Triangle H Grain and CaQle Co. and ZoeSs, Inc. January 217. hqp://www.caqlenetwork.com/sites/protein/files/field%2test%2%24beef.pdf Terminal Index Income based on carcass merit No replacements retained 217 BIF Symposium, Athens, Ga. Index Angus $Feedlot $Grid $Beef Beefmaster Terminal Charolais Terminal Sire Profit Gelbvieh FPI EPI Trait CED BW WW YW Intake PWG CW Quality Yield X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 5

Trait Index CED BW WW YW Intake PWG CW Quality Yield Hereford Cert Hereford Beef X X X X X X Limousin Mainstream Term X X X X X Red Angus GridMaster X X X X X X Simmental Terminal X X X X X X X Shorthorn Feedlot X X X X X X Industry Indices Method QPI X X X X Terminal Index Income based on carcass merit No replacements retained Caution most place little to no emphasis on calving ease Intake is component of many, but not all Weaning/Replacement Index Targeted for commercial cow/calf cattlemen Calves marketed at weaning Replacement heifers are retained Trait Index CED BW CEM WW YW Milk HP SC Mat Angus $Wean X X X X Beefmaster Maternal X X X X Shorthorn $CEZ X X Industry Method MPI X X X X X X FerBlity? Maintenance? Weaning/Replacement Index Targeted for commercial cow/calf cattlemen Calves marketed at weaning Replacement heifers are retained Calving ease is considered, but may not be adequate if large numbers of heifers are to be bred Limited inpluence of reproductive performance Limited inpluence of cow maintenance Little emphasis on calving ease maternal All-Purpose Index Income primarily based on carcass merit Replacement heifers are retained 217 BIF Symposium, Athens, Ga. 6

Trait Index CED CEM WW Milk Fert PWG FE MW CW Qual Yield Gelbvieh $Cow X X X X X X X X X X Hereford Baldy Maternal X X X X X X X X X Calving Ease X X X X X X X Brahman Infl X X X X X X X Red Angus HerdBuilder X X X X X X X X X X Simmental All Purpose X X X X X X X X X X X Shorthorn $BMI X X X X X X X X Industry Indices Method ROI X X X X X X X X X Dollar Profit X X X X X X X X X X X All-Purpose Index Income primarily based on carcass merit Replacement heifers are retained Calving ease emphasis varies Limited information on feed efpiciency/intake Limited information on cow maintenance Varying levels of information on reproductive performance Keys to Successful Implementation Develop breeding objectives Management Marketing Environment Identify selection index that most closely matches your breeding objectives $Wean - $Beef $Wean Birth Wt, Wean Wt, Milk, Mature Size $Beef Wean Wt, Year Wt, Intake, Carc Wt, Quality, Yield Correlation $W-$B =.52 $Wean - $Beef y = 1.15x + 5.3 R² =.27 r =.52 Outlier Bull $W = - $2.78 Off the percentile chart on the bottom side $B = $172.25 Off the percentile chart on the top side - 6-4 - 2 2 4 6 8 1 217 BIF Symposium, Athens, Ga. 7

$Wean - $AP1 $Wean Birth Wt, Wean Wt, Milk, Mature Size $AP1 $W5$B5 4 3 2 1 $Wean - $AP1 y =.37x - 5.7 R² =.75 r =.86-1 Correlation $W-$AP1 =.87-2 - 3-6 - 4-2 2 4 6 8 1 Outlier Bull $W = $22.68 $24 below population average $AP1 = $22.68 $11 above population average $Wean - $AP2 $Wean Birth Wt, Wean Wt, Milk, Mature Size $AP2 $W75$B25 Correlation $W-$AP2 =.97 75 55 35 $Wean - $AP2 y =.68x - 2.9 R² =.98 r =.99 Outlier Bull $W = $35.93 $1 below population average 15-5 $AP2 = $31.28 $2 above population average 25 45-6 - 4-2 2 4 6 8 1 217 BIF Symposium, Athens, Ga. 8

Keys to Successful Implementation Develop breeding objectives Management Marketing Environment Identify selection index that most closely matches your breeding objectives Be cautious of traits, included in the index, that do not have a economic (income/cost) value to your production system Keys to Successful Implementation Don t make the mistake of sitting on the sidelines if the selection index scenario doesn t perfectly match your operation Do not panic if market values change; selection indices are robust Red Angus Correlation! HB vs HB without CED:.97! HB vs HB without WW or ADG:.93! HB vs HB without Carcass (Marb & YG):.99! HB vs HB without Carcass or Feedyard:.89! HB vs HB without STAY:.74 Build an Index Workshop 215 Red Angus Summit Allow Audience to Change the Index Economic Weighting Factors and Evaluate the Difference in the Resulting Indices. ERT Wting ( to 1) 217 BIF Symposium, Athens, Ga. 9

ERT Wting ( to 1) 7 ERT Wting ( to 1) 7 2 ERT Wting ( to 1) 7 2 5 EPDs for each ERT CED BW EPDs for each ERT CED BW WW YW 217 BIF Symposium, Athens, Ga. 1

EPDs for each ERT CED BW WW YW MARB YG REA FAT EPD Weighting 7 3 EPD Weighting 7 3 8 2 EPD Weighting 7 3 8 2 3 2 3 2 EPD Weighting 7 3 8 2 3 2 3 2 2.5 2.5 2.5 2.5 217 BIF Symposium, Athens, Ga. 11

EPD Weighting 7 3 8 2 3 2 3 2 2.5 2.5 2.5 2.5 All Purpose B ERT Wting ( to 1) 9 5 8 1 EPD Weighting 5 5 1 8 2 5 4 1 EPD Weighting 7 3 8 2 3 2 3 2 2.5 2.5 2.5 2.5 All Purpose B ERT Wting ( to 1) 9 5 8 1 EPD Weighting 5 5 1 8 2 5 4 1 All Purpose C ERT Wting ( to 1) 1 8 3 6 EPD Weighting 3 7 3 7 2 8 5 5 Results Name Index A 1BWJ JULIAN 17P 1% BECKTON JULIAN GG B571 1% MUSHRUSH LOCK 'N' LOAD U213 1% BIEBER ROLLIN DEEP Y118 13% FEDDES BIG SKY R9 15% WEBR TC CARD SHARK 115 33% BECKTON EPIC R397 K 4% BFCK CHEROKEE CNYN 4912 52% LCHMN GRANDCANYON 1244G 56% 5L NORSEMAN KING 2291 67% Results Name Index A Index B 1BWJ JULIAN 17P 1% 1% BECKTON JULIAN GG B571 1% 4% MUSHRUSH LOCK 'N' LOAD U213 1% 8% BIEBER ROLLIN DEEP Y118 13% 6% FEDDES BIG SKY R9 15% 16% WEBR TC CARD SHARK 115 33% 3% BECKTON EPIC R397 K 4% 21% BFCK CHEROKEE CNYN 4912 52% 34% LCHMN GRANDCANYON 1244G 56% 4% 5L NORSEMAN KING 2291 67% 57% Results Name Index A Index B Index C 1BWJ JULIAN 17P 1% 1% 9% BECKTON JULIAN GG B571 1% 4% 42% MUSHRUSH LOCK 'N' LOAD U213 1% 8% 11% BIEBER ROLLIN DEEP Y118 13% 6% 5% FEDDES BIG SKY R9 15% 16% 26% WEBR TC CARD SHARK 115 33% 3% 26% BECKTON EPIC R397 K 4% 21% 6% BFCK CHEROKEE CNYN 4912 52% 34% 2% LCHMN GRANDCANYON 1244G 56% 4% 19% 5L NORSEMAN KING 2291 67% 57% 5% Results Name Index A Index B Index C HB Index 1BWJ JULIAN 17P 1% 1% 9% 3% BECKTON JULIAN GG B571 1% 4% 42% 1% MUSHRUSH LOCK 'N' LOAD U213 1% 8% 11% 15% BIEBER ROLLIN DEEP Y118 13% 6% 5% 32% FEDDES BIG SKY R9 15% 16% 26% 23% WEBR TC CARD SHARK 115 33% 3% 26% 46% BECKTON EPIC R397 K 4% 21% 6% 17% BFCK CHEROKEE CNYN 4912 52% 34% 2% 4% LCHMN GRANDCANYON 1244G 56% 4% 19% 84% 5L NORSEMAN KING 2291 67% 57% 5% 8% 217 BIF Symposium, Athens, Ga. 12

Results (Correlations) Corr(A:B).93 Corr(B:C).87 Corr(A:C).65 Keys to Successful Implementation Identify traits of economic importance to your production system that are not in the index and select for those traits in tandem with the SI Realize some traits in an index have thresholds or optimum is not maximum Calving Ease Milking Ability Threshold Traits Bull A CED = 7 WW = 4 Milk = 15 SI = $78 SI = 2*CED + 1.5*WW +.25*Milk Bull B CED = 15 WW = 35 Milk = 11 SI = $85 CED =1 SI =$75 What does the future hold? Increased number of ERTs Increased number of selection indices targeted to specipic production systems Improved genetic evaluations due to improved genomics technology and inclusion of commercial data Multi- breed indices Accuracy values for indices Take Home Messages! Selection indices are simple to use, facilitate genetic improvement in propitability, available for major production/marketing systems Know what s under the hood What traits are included? Is calving ease acceptable for my intended use? Do I need to select for or monitor additional traits? Selection indices are robust even in changing markets and varying production/marketing systems Questions? 217 BIF Symposium, Athens, Ga. 13