Daniela Lourenco, Un. of Georgia 6/1/17. Pedigree. Individual 1. Individual 2

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Daniela Lourenco, Un. of Georgia 6/1/17. Pedigree. Individual 1. Individual 2"

Transcription

1 Traditional evaluation The promise of genomics for beef improvement Daniela Lourenco Keith Bertrand Pedigree Performance EPD BLUP Progeny Heather Bradford, Steve Miller, Ignacy Misztal BIF - Athens, GA - 06/01/2017 EPD sum of gene effects 2 What if we could know the genes that affect the traits? Individual 1 Genomic information Could we have more accurate EPD? Individual 2 Genomics in livestock breeding hnp:// thinnergene/genercs- 101/ Errors in the DNA Most are repaired Some are transmined Some influence performance Some are beneficial Some are harmful Genomic information SNP used as markers for GENES or regions in the genome that contain genes = QTL Genomic information Marker Assisted SelecRon - MAS SNP gene SNP Expensive!!! Few SNPs Meat quality Meat tenderness Feed efficiency Disease 2017 BIF Symposium, Athens, Ga. 1

2 Why MAS did not quite work? Traits of interest are polygenic gene gene gene gene What if we could use thousands of SNPs? Meuwissen Hayes Goddard 2001 Thousands of genes Thousands of SNP The promises Cost of genotyping What is 100,000 cheaper NOW than in 2001? 2 Rmes cheaper We can use thousands of SNPs Genotyping thousands of SNPs will become cheap We can calculate EPD based on SNPs (e.g., MBV) Without own performance or progeny records Accuracy of predicbng EPD more than double (0.40 vs. 0.85) Increase in accuracy for traits with low h 2 and hard to measure We can select animals earlier (reducing generaron interval) 100,000 Rmes cheaper hnps:// 5 Rmes cheaper Peak of excitement Dairy Industry Cheaper genotyping Illumina 50k SNP chip First genomic evaluaron in EvaluaRon in 2012 Who would go first? K SNP + parent informaron No daughters with records 1 Parent informaron + 100s of daughters with records Net merit = $792 7 bulls > $ BIF Symposium, Athens, Ga. 2

3 The promises Genomics in beef cattle : Angus We can use thousands of SNPs Genotyping thousands of SNPs will become cheap We can calculate EPD based on SNPs (e.g., MBV) Without own performance or progeny records Accuracy of predicrng EPD more than double (0.40 vs. 0.85) Increase in accuracy for traits with low h 2 and hard to measure We can select animals earlier (reducing generaron interval) 2012: Simmental, Hereford, Red Angus, Limousin : Charolais, Santa Gertrudis, Shorthorn, Brangus, Guelbvieh How is genomic incorporated? How is genomic incorporated? Performance 1.SNP effects Pedigree Progeny A A B B Genomic Info GE- EPD Extra source of informaron A B B B More informaron means greater accuracy of EPD MBV = = 5.7 How is genomic incorporated? 2. BeNer relaronships Which methods? MulRstep first method implemented Full- sibs I do not trust EPD, but I do trust MBV because they come straight from the DNA 2017 BIF Symposium, Athens, Ga. 3

4 Which methods? Trend Single- step Developed at UGA: MulRstep Single- step Simplicity Which software to use for single-step? UGA: blupf90 family Theta SoluRons: Bolt The biggest promise Increase (double) accuracy of predicrng EPD Meuwissen et al., 2001 Keith Ignacy Daniela Bruce Dorian Daniel Beef canle? Trait Accuracy gains in beef Breed number of genotyped animals EPD accuracy GE- EPD or MBV accuracy Gain % Author Simulated - 2, Meuwissen et al., 2001 Carcass Hereford 1, Saatchi et al., 2013 Feed intake Nellore 1, Silva et al., 2016 Growth Angus 2, Lourenco et al., 2015 Small gain due to small number of genotyped animals ~ 2,000 You should genotype more animals Number of genotyped animals Number of genotyped animals You should genotype more animals 1,600,000 1,400,000 1,200,000 1,000, , , , , , , , , Females Males US Holsteins ,000 American Angus , , , , , BIF Symposium, Athens, Ga. 4

5 Accuracy gains in beef Accuracy gains 50k vs. 500k VanRaden et al., 2011 Trait Breed number of genotyped animals EPD accuracy GE- EPD or MBV accuracy Gain % Simulated - 2, Growth Angus 2, Growth Angus 33, Author Meuwissen et al., 2001 Lourenco et al., 2015 Lourenco et al., 2015 Gain = 0.02 You should genotype more animals You are using only 50k SNP not enough you should use over 300,000 You are using only 50k SNP not enough you should use over 300,000 Sequence the whole genome Sequence information for predictions Sequence vs. genotyping > 30M 50k VanRaden et al., 2017 Small gain with more SNP Why Meuwissen et al. (2001) got it, but we did not? 1. BeNer relaronships: already accurate with 50k 2. SNP effects: only more SNP to esrmate effects without increasing phenotypes A A B A B B Assumed SNP with large effect Large SNP explained large proporron of generc variance Traits of interest are polygenic: several genes with small effect 2017 BIF Symposium, Athens, Ga. 5

6 The promises Increase in accuracy for traits with low h 2 and hard to measure We can use thousands of SNPs Genotyping thousands of SNPs will become cheap We can calculate EPD based on SNPs (e.g., MBV) Without own performance or progeny records Accuracy of predicrng EPD more Increases than double (0.40 vs. 0.85) Increase in accuracy for traits with low h 2 and hard to measure We can select animals earlier (reducing generaron interval) Increase is small Need more genotypes and phenotypes Kor Oldenbroek and Liesbeth van der Waaij, 2015 The promises We can select animals earlier Acc = 0.25 Acc = 0.40 Acc = 0.40 We can use thousands of SNPs Genotyping thousands of SNPs will become cheap We can calculate EPD based on SNPs (e.g., MBV) Without own performance or progeny records Accuracy of predicrng EPD more Increases than double (0.40 vs. 0.85) Increase in accuracy for traits with low h 2 and hard to measure We can select animals earlier (reducing generaron interval) Parent info Does it mean we do not need to collect phenotypes? There is no magic here MulRstep Single- step I like GE-EPD, but I want to see MBV MulRstep Single- step Genotype Phenotype MBV = Sum of SNP effects GE- EPD = MBV + Parent Average + Performance + Progeny More informaron = higher accuracy 2017 BIF Symposium, Athens, Ga. 6

7 Millions of genotyped animals How is it possible? Millions of genotyped animals How is it possible? More informaron = higher accuracy DNA inherited in blocks More genotypes, phenotypes, pedigree Challenge If we trace those blocks few ancestors 4,000 blocks = 4,000 animals = 90% of variance +10,000 blocks = +10,000 animals = 99% of variance Millions of genotyped animals How is it possible? New single-step = single-step with APY Single- step before 2015 Single- step now Max. load 150,000 Max. load Keep genotyping! American Angus! 300k genotyped animals! 10M pedigree! All traits! US Holsteins! >250k genotyped animals! Millions in pedigree! Several traits! US Holsteins! 760k genotyped animals! 23M pedigree! 37M phenotypes! ProducRon traits Keep in mind Promises were higher than the realized We can use genomic informaron to bener esrmate EPD Accuracy of EPD increases (not astronomically) We can select animals earlier reducing generaron interval Keep genotyping and phenotyping if you want more reliable GE- EPD Keep in mind GeneRc gain = (selecron intensity * accuracy * generc SD) / generaron interval Expected trend if no changes in 2013 δ x How much you trust in the generc advisor 2017 BIF Symposium, Athens, Ga. 7

8 Acknowledgements Shogo Tsuruta Yutaka Masuda Breno Fragomeni Ivan Pocrnic Ignacio Aguilar Andres Legarra 2017 BIF Symposium, Athens, Ga. 8

The Dimensionality of Genomic Information and Its Effect on Genomic Prediction

The Dimensionality of Genomic Information and Its Effect on Genomic Prediction GENOMIC SELECTION The Dimensionality of Genomic Information and Its Effect on Genomic Prediction Ivan Pocrnic,*,1 Daniela A. L. Lourenco,* Yutaka Masuda,* Andres Legarra, and Ignacy Misztal* *Department

More information

BLUP and Genomic Selection

BLUP and Genomic Selection BLUP and Genomic Selection Alison Van Eenennaam Cooperative Extension Specialist Animal Biotechnology and Genomics University of California, Davis, USA alvaneenennaam@ucdavis.edu http://animalscience.ucdavis.edu/animalbiotech/

More information

The powerful new genomic selection tool. Built By Angus Genetics Inc.

The powerful new genomic selection tool. Built By Angus Genetics Inc. The powerful new genomic selection tool Built By Angus Genetics Inc. For Angus. by angus. Angus GS sets the standard for genetic testing in Angus cattle. More power More accuracy More value As a new genomic

More information

11/30/11. Lb output/beef cow. Corn Yields. Corn and Wheat

11/30/11. Lb output/beef cow. Corn Yields. Corn and Wheat Dr. Jack Whittier Extension Beef Specialist, Colorado State University XXII Range Beef Cow Symposium, Mitchell, Nebraska November 29, 30 and December 1, 2011 Genomics the basics What it means Is it something

More information

Practical integration of genomic selection in dairy cattle breeding schemes

Practical integration of genomic selection in dairy cattle breeding schemes 64 th EAAP Meeting Nantes, 2013 Practical integration of genomic selection in dairy cattle breeding schemes A. BOUQUET & J. JUGA 1 Introduction Genomic selection : a revolution for animal breeders Big

More information

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

SELECTION FOR IMPROVED FEED EFFICIENCY: A GENOMICS APPROACH. Matt Spangler, Ph.D. University of Nebraska-Lincoln SELECTION FOR IMPROVED FEED EFFICIENCY: A GENOMICS APPROACH Matt Spangler, Ph.D. University of Nebraska-Lincoln Where We Rank (F:G) 2:1 1:1 6:1 3:1 Fundamental Principles P = G + E Feed Intake = Expected

More information

Fundamentals of Genomic Selection

Fundamentals of Genomic Selection Fundamentals of Genomic Selection Jack Dekkers Animal Breeding & Genetics Department of Animal Science Iowa State University Past and Current Selection Strategies selection Black box of Genes Quantitative

More information

THE EFFECT OF QUANTITY AND BREED COMPOSITION OF GENOTYPES FOR GENOMIC PREDICTION IN PUREBRED OR CROSSBRED CATTLE Heather Bradford 1 1

THE EFFECT OF QUANTITY AND BREED COMPOSITION OF GENOTYPES FOR GENOMIC PREDICTION IN PUREBRED OR CROSSBRED CATTLE Heather Bradford 1 1 AWARD RECPIENT FRANK BAKER MEMORIAL SCHOLARSHIP THE EFFECT OF QUANTITY AND BREED COMPOSITION OF GENOTYPES FOR GENOMIC PREDICTION IN PUREBRED OR CROSSBRED CATTLE Heather Bradford 1 1 Kansas State University,

More information

Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus 1

Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus 1 Published June 25, 2015 Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus 1 D. A. L. Lourenco,* 2 S. Tsuruta,* B. O. Fragomeni,* Y. Masuda,* I. Aguilar, A. Legarra,

More information

Experiences in the use of genomics in ruminants in Uruguay

Experiences in the use of genomics in ruminants in Uruguay Experiences in the use of genomics in ruminants in Uruguay Ignacio Aguilar Instituto Nacional de Investigación Agropecuaria Uruguay ICAR 2016, Puerto Varas, Chile INIA Research Team Olga Ravagnolo Elly

More information

Beef Cattle Genomics: Promises from the Past, Looking to the Future

Beef Cattle Genomics: Promises from the Past, Looking to the Future Beef Cattle Genomics: Promises from the Past, Looking to the Future A.D. Herring 1, D.G. Riley 1, J.O. Sanders 1, P.K. Riggs 1, C.A. Gill 1 1 Department of Animal Science, Texas A&M University, College

More information

What do I need to know about Genomically Enhanced EPD Values? Lisa A. Kriese Anderson Extension Animal Scientist Auburn University.

What do I need to know about Genomically Enhanced EPD Values? Lisa A. Kriese Anderson Extension Animal Scientist Auburn University. What do I need to know about Genomically Enhanced EPD Values? Lisa A. Kriese Anderson Extension Animal Scientist Auburn University Take Home Message Genomically enhanced EPD values are used exactly like

More information

TSB Collaborative Research: Utilising i sequence data and genomics to improve novel carcass traits in beef cattle

TSB Collaborative Research: Utilising i sequence data and genomics to improve novel carcass traits in beef cattle TSB Collaborative Research: Utilising i sequence data and genomics to improve novel carcass traits in beef cattle Dr Mike Coffey SAC Animal Breeding Team 1 Why are we doing this project? 1 BRITISH LIMOUSIN

More information

Strategy for applying genome-wide selection in dairy cattle

Strategy for applying genome-wide selection in dairy cattle J. Anim. Breed. Genet. ISSN 0931-2668 ORIGINAL ARTICLE Strategy for applying genome-wide selection in dairy cattle L.R. Schaeffer Department of Animal and Poultry Science, Centre for Genetic Improvement

More information

Question. In the last 100 years. What is Feed Efficiency? Genetics of Feed Efficiency and Applications for the Dairy Industry

Question. In the last 100 years. What is Feed Efficiency? Genetics of Feed Efficiency and Applications for the Dairy Industry Question Genetics of Feed Efficiency and Applications for the Dairy Industry Can we increase milk yield while decreasing feed cost? If so, how can we accomplish this? Stephanie McKay University of Vermont

More information

Developments in the Genetic Improvement of a Large Commercial Population in the New Zealand Sheep Industry

Developments in the Genetic Improvement of a Large Commercial Population in the New Zealand Sheep Industry Developments in the Genetic Improvement of a Large Commercial Population in the New Zealand Sheep Industry G B Nicoll Landcorp Farming Ltd Rotorua, New Zealand Landcorp Farming Ltd State Owned Enterprise.

More information

Applications of Genomic Technology to Cattle Breeding and Management

Applications of Genomic Technology to Cattle Breeding and Management Applications of Genomic Technology to Cattle Breeding and Management The Role of DNA CSI (cattle science investigations) Introducing Scidera, Inc. Recognized Leader in Livestock Genomics On March 18, 2011,

More information

gepds for commercial beef cattle John Basarab, John Crowley & Donagh Berry Livestock Gentec Conference, October 2016 Edmonton, Canada

gepds for commercial beef cattle John Basarab, John Crowley & Donagh Berry Livestock Gentec Conference, October 2016 Edmonton, Canada gepds for commercial beef cattle John Basarab, John Crowley & Donagh Berry Livestock Gentec Conference, 18-19 October 2016 Edmonton, Canada Improving feed efficiency, product quality, profitability, environmental

More information

technical bulletin Enhancements to Angus BREEDPLAN December 2017 Calculation of EBVs for North American Animals

technical bulletin Enhancements to Angus BREEDPLAN December 2017 Calculation of EBVs for North American Animals technical bulletin Enhancements to Angus BREEDPLAN A number of enhancements have been implemented in the December 2017 Angus BREEDPLAN analysis. These enhancements are part of the ongoing maintenance and

More information

A journey: opportunities & challenges of melding genomics into U.S. sheep breeding programs

A journey: opportunities & challenges of melding genomics into U.S. sheep breeding programs A journey: opportunities & challenges of melding genomics into U.S. sheep breeding programs Presenter: Dr. Ron Lewis, Department of Animal Science, University of Nebraska-Lincoln Host/Moderator: Dr. Jay

More information

The Australian Poll Gene Marker test

The Australian Poll Gene Marker test The Australian Poll Gene Marker test Frequently Asked Questions (FAQ) The new Australian Poll Gene Marker test has been developed and? tested for use in Australian commercial cattle populations. Works

More information

Genome-wide association mapping using single-step GBLUP!!!!

Genome-wide association mapping using single-step GBLUP!!!! Genome-wide association mapping using single-step GBLUP!!!! Ignacy'Misztal,'Joy'Wang'University!of!Georgia Ignacio'Aguilar,'INIA,!Uruguay! Andres'Legarra,!INRA,!France! Bill'Muir,!Purdue!University! Rohan'Fernando,!Iowa!State!!!'

More information

Genomic analyses with emphasis on single-step

Genomic analyses with emphasis on single-step 1 Genomic analyses with emphasis on single-step Condensed notes for short-course taught in 2015 in Poznan, Poland Ignacy Misztal et al., 11/20/14-5/9/16 Introduction In the last couple of years, the animal

More information

Managing genetic groups in single-step genomic evaluations applied on female fertility traits in Nordic Red Dairy cattle

Managing genetic groups in single-step genomic evaluations applied on female fertility traits in Nordic Red Dairy cattle Abstract Managing genetic groups in single-step genomic evaluations applied on female fertility traits in Nordic Red Dairy cattle K. Matilainen 1, M. Koivula 1, I. Strandén 1, G.P. Aamand 2 and E.A. Mäntysaari

More information

DESIGNS FOR QTL DETECTION IN LIVESTOCK AND THEIR IMPLICATIONS FOR MAS

DESIGNS FOR QTL DETECTION IN LIVESTOCK AND THEIR IMPLICATIONS FOR MAS DESIGNS FOR QTL DETECTION IN LIVESTOCK AND THEIR IMPLICATIONS FOR MAS D.J de Koning, J.C.M. Dekkers & C.S. Haley Roslin Institute, Roslin, EH25 9PS, United Kingdom, DJ.deKoning@BBSRC.ac.uk Iowa State University,

More information

Beef genetics for accelerated economic growth

Beef genetics for accelerated economic growth BGP-Beef Genomics Program Beef genetics for accelerated economic growth presented by Thys Meyer 11 March 2014 Issue 1 Origin An initiative from South African Beef Breeders under the auspices of the South

More information

Operation of a genomic selection service in Ireland

Operation of a genomic selection service in Ireland Operation of a genomic selection service in Ireland Mary McCarthy, Karl O Connell & Francis Kearney Irish Cattle Breeding Federation (ICBF), Highfield House, Bandon, Co. Cork, Ireland Abstract Since the

More information

Melding genomics and quantitative genetics in sheep breeding programs: opportunities and limits

Melding genomics and quantitative genetics in sheep breeding programs: opportunities and limits Melding genomics and quantitative genetics in sheep breeding programs: opportunities and limits Ron Lewis Genetics Stakeholders Committee ASI Convention, Scottsdale, AZ Jan. 28, 2016 My talk Genomics road

More information

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

1 This research was conducted under cooperative agreements between USDA, ARS, Montana Agric. Exp. Breeding Objectives for Terminal Sires For Use in U.S. Beef Production Systems,2 M. D. MacNeil 3 USDA Agricultural Research Service Miles City, Montana 5930 USA ABSTRACT Breeding objectives facilitate

More information

Improving Genetics in the Suckler Herd by Noirin McHugh & Mark McGee

Improving Genetics in the Suckler Herd by Noirin McHugh & Mark McGee Section 4 23 by Noirin McHugh & Mark McGee Introduction Carefully identifying better animals and breeding them with other superior animals will gradually improve the genetics of a herd. Enhanced genetics

More information

Genomic selection and its potential to change cattle breeding

Genomic selection and its potential to change cattle breeding ICAR keynote presentations Genomic selection and its potential to change cattle breeding Reinhard Reents - Chairman of the Steering Committee of Interbull - Secretary of ICAR - General Manager of vit,

More information

Using Live Animal Carcass Ultrasound Information in Beef Cattle Selection

Using Live Animal Carcass Ultrasound Information in Beef Cattle Selection Using Live Animal Carcass Ultrasound Information in Beef Cattle Selection In some instances, value-based marketing systems can be economically advantageous to cattle producers. Monetary rewards are sometimes

More information

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

The Data Which Breeders May Collect For BREEDPLAN Analysis Includes: Flight time (from bail head to light beam) The Data Which Breeders May Collect For BREEDPLAN Analysis Includes: Bull in Date Birth Date Birth Weight Calving Ease Calf Weights from 150days to 600days+ Scrotal Size Docility Scores Flight time (from

More information

Genomic selection in American chestnut backcross populations

Genomic selection in American chestnut backcross populations Genomic selection in American chestnut backcross populations Jared Westbrook The American Chestnut Foundation TACF Annual Meeting Fall 2017 Portland, ME Selection against blight susceptibility in seed

More information

Implementation of Genomic Selection in Pig Breeding Programs

Implementation of Genomic Selection in Pig Breeding Programs Implementation of Genomic Selection in Pig Breeding Programs Jack Dekkers Animal Breeding & Genetics Department of Animal Science Iowa State University Dekkers, J.C.M. 2010. Use of high-density marker

More information

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

Beef - Horse - Poultry - Sheep - Swine. August 2016 Virginia Cooperative Extension Animal & Poultry Sciences 366 Litton Reaves (0306) Blacksburg, Virginia 24061 540/231-9159 Fax: 540/231-3010 E-mail: sgreiner@vt.edu www.apsc.vt.edu Livestock Update Beef

More information

B+LNZ Genetics for the Commercial Farmer. Max Tweedie

B+LNZ Genetics for the Commercial Farmer. Max Tweedie B+LNZ Genetics for the Commercial Farmer Max Tweedie B+LNZ GENETICS: BACKGROUND Established in 2014 - consolidating sheep and beef genetics research and innovation into a single entity A subsidiary of

More information

Quantitative Genetics

Quantitative Genetics Quantitative Genetics Polygenic traits Quantitative Genetics 1. Controlled by several to many genes 2. Continuous variation more variation not as easily characterized into classes; individuals fall into

More information

Genomic selection +Sexed semen +Precision farming = New deal for dairy farmers?

Genomic selection +Sexed semen +Precision farming = New deal for dairy farmers? Genomic selection +Sexed semen +Precision farming = New deal for dairy farmers? Laurent Journaux General secretary of France Génétique Elevage SIA souvenir Introduction After a long period of stability

More information

Bull Selection Strategies Using Genomic Estimated Breeding Values

Bull Selection Strategies Using Genomic Estimated Breeding Values R R Bull Selection Strategies Using Genomic Estimated Breeding Values Larry Schaeffer CGIL, University of Guelph ICAR-Interbull Meeting Niagara Falls, NY June 8, 2008 Understanding Cancer and Related Topics

More information

PoultryTechnical NEWS. GenomChicks Advanced layer genetics using genomic breeding values. For further information, please contact us:

PoultryTechnical NEWS. GenomChicks Advanced layer genetics using genomic breeding values. For further information, please contact us: PoultryTechnical LOHMANN TIERZUCHT LOHMANN TIERZUCHT GmbH will continue to conduct comprehensive performance testing and is continuously investing in extending the testing capacities as well as looking

More information

RECOLAD. Introduction to the «atelier 1» Genetic approaches to improve adaptation to climate change in livestock

RECOLAD. Introduction to the «atelier 1» Genetic approaches to improve adaptation to climate change in livestock RECOLAD. Introduction to the «atelier 1» Genetic approaches to improve adaptation to climate change in livestock Ahmed El Beltagy (ahmed_elbeltagi@yahoo.com and D. Laloë (denis.laloe@jouy.inra.fr) Introduction

More information

Fertility Factors Fertility Research: Genetic Factors that Affect Fertility By Heather Smith-Thomas

Fertility Factors Fertility Research: Genetic Factors that Affect Fertility By Heather Smith-Thomas Fertility Factors Fertility Research: Genetic Factors that Affect Fertility By Heather Smith-Thomas With genomic sequencing technology, it is now possible to find genetic markers for various traits (good

More information

Reliabilities of genomic prediction using combined reference data of the Nordic Red dairy cattle populations

Reliabilities of genomic prediction using combined reference data of the Nordic Red dairy cattle populations J. Dairy Sci. 94 :4700 4707 doi: 10.3168/jds.2010-3765 American Dairy Science Association, 2011. Open access under CC BY-NC-ND license. Reliabilities of genomic prediction using combined reference data

More information

Genetics of dairy production

Genetics of dairy production Genetics of dairy production E-learning course from ESA Charlotte DEZETTER ZBO101R11550 Table of contents I - Genetics of dairy production 3 1. Learning objectives... 3 2. Review of Mendelian genetics...

More information

FREQUENTLY ASKED QUESTIONS

FREQUENTLY ASKED QUESTIONS FREQUENTLY ASKED QUESTIONS GENEMAX ADVANTAGE : THE SOLUTION FOR COMMERCIAL ANGUS HEIFER SELECTION August 2016 GENEMAX ADVANTAGE Q. What is GeneMax Advantage? A. GeneMax Advantage is a DNA test for prospective

More information

Understanding and Using Expected Progeny Differences (EPDs)

Understanding and Using Expected Progeny Differences (EPDs) Agriculture and Natural Resources FSA3068 Understanding and Using Expected Progeny Differences (EPDs) Brett Barham Associate Professor Animal Science Arkansas Is Our Campus Visit our web site at: http://www.uaex.edu

More information

Edinburgh Research Explorer

Edinburgh Research Explorer Edinburgh Research Explorer Genetic prediction of complex traits: integrating infinitesimal and marked genetic effects Citation for published version: Carré, C, Gamboa, F, Cros, D, Hickey, JM, Gorjanc,

More information

29 th Annual BIC Bull Sale

29 th Annual BIC Bull Sale One Bar Eleven Ranch John E. Rouse Beef Improvement Center 29 th Annual BIC Bull Sale Monday April 13 th, 12:30 p.m. Selling Approximately 50 Yearling Bulls One Bar Eleven Ranch John E. Rouse Beef Improvement

More information

Development of genetic and genomic evaluation for wellness traits in US Holstein cows

Development of genetic and genomic evaluation for wellness traits in US Holstein cows J. Dairy Sci. 100:48 438 https://doi.org/10.3168/jds.016-1150 017, THE AUTHORS. Published by FASS and Elsevier Inc. on behalf of the American Dairy Science Association. This is an open access article under

More information

TECHNICAL BULLETIN GENEMAX FOCUS - EVALUATION OF GROWTH & GRADE FOR COMMERCIAL USERS OF ANGUS GENETICS. November 2016

TECHNICAL BULLETIN GENEMAX FOCUS - EVALUATION OF GROWTH & GRADE FOR COMMERCIAL USERS OF ANGUS GENETICS. November 2016 TECHNICAL BULLETIN November 2016 GENEMAX FOCUS - EVALUATION OF GROWTH & GRADE FOR COMMERCIAL USERS OF ANGUS GENETICS Zoetis Genetics 333 Portage Street Kalamazoo, MI 49007-4931 KEY POINTS GeneMax Focus

More information

Tentative 2017 LIVESTOCK SHOW SCHEDULE

Tentative 2017 LIVESTOCK SHOW SCHEDULE Tentative 2017 LIVESTOCK SHOW SCHEDULE Arkansas State Fair 2600 Howard Street Little Rock, AR 72206 501-372-8341 (phone) 501-372-4197 (fax) www.asfg.net GROUP CLASSES MUST BE MADE AT TIME OF ENTRY. NO

More information

Cork Marts. Kevin Downing

Cork Marts. Kevin Downing Cork Marts Kevin Downing Introduction Euro-Star Index What are Euro-Stars about? How do you use the Euro-Star Index? What is Reliability? What is Genomics? Are 5-Star animals more profitable? Beef Data

More information

Delivering Valued Genomic Products to Livestock Customers

Delivering Valued Genomic Products to Livestock Customers Delivering Valued Genomic Products to Livestock Customers Sue DeNise, Ph.D. Sr. Director, Global Genetics R&D Veterinary Medicine Research and Development Predict The Future Now! 1 Who We Are u A Pfizer

More information

Meat quality. What is the future and why is it important? Stephen Conroy, Andrew Cromie & Thierry Pabiou (Irish Cattle Breeding Federation)

Meat quality. What is the future and why is it important? Stephen Conroy, Andrew Cromie & Thierry Pabiou (Irish Cattle Breeding Federation) Meat quality. What is the future and why is it important? Stephen Conroy, Andrew Cromie & Thierry Pabiou (Irish Cattle Breeding Federation) 2 ICBF database AI Companies Genetic Evaluation System Veterinary

More information

MAS refers to the use of DNA markers that are tightly-linked to target loci as a substitute for or to assist phenotypic screening.

MAS refers to the use of DNA markers that are tightly-linked to target loci as a substitute for or to assist phenotypic screening. Marker assisted selection in rice Introduction The development of DNA (or molecular) markers has irreversibly changed the disciplines of plant genetics and plant breeding. While there are several applications

More information

CORRELATIONS BETWEEN PUREBRED AND CROSSBRED BODY WEIGHTS IN MULTI-BREED LIMOUSIN WITH ANGUS POPULATIONS. Ryan A. Davis

CORRELATIONS BETWEEN PUREBRED AND CROSSBRED BODY WEIGHTS IN MULTI-BREED LIMOUSIN WITH ANGUS POPULATIONS. Ryan A. Davis CORRELATIONS BETWEEN PUREBRED AND CROSSBRED BODY WEIGHTS IN MULTI-BREED LIMOUSIN WITH ANGUS POPULATIONS by Ryan A. Davis (Under the direction of J. Keith Bertrand) ABSTRACT Selection and combination of

More information

Genetics of efficient feed utilization and national cattle evaluation: a review

Genetics of efficient feed utilization and national cattle evaluation: a review D.H. Denny Crews Jr. 152 Review Genetics of efficient feed utilization and national cattle evaluation: a review D.H. Denny Crews Jr. Agriculture and Agri-Food Canada Research Centre, Lethbridge, Alberta,

More information

Genomic prediction for Nordic Red Cattle using one-step and selection index blending

Genomic prediction for Nordic Red Cattle using one-step and selection index blending J. Dairy Sci. 95 :909 917 doi: 10.3168/jds.011-4804 American Dairy Science Association, 01. Open access under CC BY-NC-ND license. Genomic prediction for Nordic Red Cattle using one-step and selection

More information

Accuracy of whole genome prediction using a genetic architecture enhanced variance-covariance matrix

Accuracy of whole genome prediction using a genetic architecture enhanced variance-covariance matrix G3: Genes Genomes Genetics Early Online, published on February 9, 2015 as doi:10.1534/g3.114.016261 1 2 Accuracy of whole genome prediction using a genetic architecture enhanced variance-covariance matrix

More information

What could the pig sector learn from the cattle sector. Nordic breeding evaluation in dairy cattle

What could the pig sector learn from the cattle sector. Nordic breeding evaluation in dairy cattle What could the pig sector learn from the cattle sector. Nordic breeding evaluation in dairy cattle Gert Pedersen Aamand Nordic Cattle Genetic Evaluation 25 February 2016 Seminar/Workshop on Genomic selection

More information

1999 American Agricultural Economics Association Annual Meeting

1999 American Agricultural Economics Association Annual Meeting Producer Prediction of Optimal Sire Characteristics Impacting Farm Profitibility In a Stochastic Bio-Economic Decision Framework William Herring, and Vern Pierce 1 Copyright 1999 by Vern Pierce. All rights

More information

Genetic variance and covariance and breed differences for feed intake and average daily gain to improve feed efficiency in growing cattle

Genetic variance and covariance and breed differences for feed intake and average daily gain to improve feed efficiency in growing cattle Published April 13 017 Genetic variance and covariance and breed differences for feed intake and average daily gain to improve feed efficiency in growing cattle K. J. Retallick* 1 J. M. Bormann* R. L.

More information

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

MCA/MSU Bull Evaluation Program 2016 Buyer Survey and Impact Report MCA/MSU Bull Evaluation Program 2016 Buyer Survey and Impact Report Daniel D. Buskirk*, Kevin S. Gould, and Daniel L. Grooms *Department of Animal Science Michigan State University Extension Department

More information

ABSTRACT INTRODUCTION IRISH BEEF CATTLE INDUSTRY THE FORMATION OF ICBF BEEF BREEDING OBJECTIVES & SELECTION CRITERIA

ABSTRACT INTRODUCTION IRISH BEEF CATTLE INDUSTRY THE FORMATION OF ICBF BEEF BREEDING OBJECTIVES & SELECTION CRITERIA THE NEW INFRASTRUCTURE FOR BEEF CATTLE BREEDING IN IRELAND B Wickham 1, S Coughlan 1, A Cromie 1, M Burke 1, F Kearney 1, R Evans 1, T Pabiou 1, D Berry 2. 1 Irish Cattle Breeding Federation (www.icbf.com),

More information

Matching Cow Type to the Nutritional Environment

Matching Cow Type to the Nutritional Environment Matching Cow Type to the Nutritional Environment Don D. Hargrove Animal Science Department University of Florida The goal in planning a management program for a commercial cow-calf operation is to maximize

More information

Invited Review. Value of genomics in breeding objectives for beef cattle

Invited Review. Value of genomics in breeding objectives for beef cattle Revista Brasileira de Zootecnia 2016 Sociedade Brasileira de Zootecnia ISSN 1806-9290 www.sbz.org.br Invited Review Value of genomics in breeding objectives for beef cattle Michael D. MacNeil 1,2 1 Delta

More information

Introduction. Data collection and evaluation activities

Introduction. Data collection and evaluation activities 2017 Annual and Final Report on Cooperation on the Genetic Evaluation System (GES) Under the Nonfunded Cooperative Agreement (NFCA) 8042-31000-101-07 Between the Agricultural Research Service (ARS), U.S.

More information

Revisiting the a posteriori granddaughter design

Revisiting the a posteriori granddaughter design Revisiting the a posteriori granddaughter design M? +? M m + m?? G.R. 1 and J.I. Weller 2 1 Animal Genomics and Improvement Laboratory, ARS, USDA Beltsville, MD 20705-2350, USA 2 Institute of Animal Sciences,

More information

Genomic Estimated Breeding Values Using Genomic Relationship Matrices in a Cloned. Population of Loblolly Pine. Fikret Isik*

Genomic Estimated Breeding Values Using Genomic Relationship Matrices in a Cloned. Population of Loblolly Pine. Fikret Isik* G3: Genes Genomes Genetics Early Online, published on April 5, 2013 as doi:10.1534/g3.113.005975 Genomic Estimated Breeding Values Using Genomic Relationship Matrices in a Cloned Population of Loblolly

More information

Single-step genomic evaluation for fertility in Nordic Red dairy cattle

Single-step genomic evaluation for fertility in Nordic Red dairy cattle Single-step genomic evaluation for fertility in Nordic Red dairy cattle Kaarina Matilainen, Minna Koivula, Ismo Strandén, ert P. Aamand and Esa A. Mäntysaari Background Female fertility genetic evaluations

More information

Genomic prediction. Kevin Byskov, Ulrik Sander Nielsen and Gert Pedersen Aamand. Nordisk Avlsværdi Vurdering. Nordic Cattle Genetic Evaluation

Genomic prediction. Kevin Byskov, Ulrik Sander Nielsen and Gert Pedersen Aamand. Nordisk Avlsværdi Vurdering. Nordic Cattle Genetic Evaluation Genomic prediction Kevin Byskov, Ulrik Sander Nielsen and Gert Pedersen Aamand STØTTET AF mælkeafgiftsfonden Present 2-step method (HOL), RDC,JER SNP and deregressed proof (DRP) Direct genomic values (DGV)

More information

Proceedings, The Range Beef Cow Symposium XXIV November 17, 18 and 19, 2015, Loveland, Colorado HOW TO USE COMMERCIALLY AVAILABLE GENOMIC PREDICTIONS

Proceedings, The Range Beef Cow Symposium XXIV November 17, 18 and 19, 2015, Loveland, Colorado HOW TO USE COMMERCIALLY AVAILABLE GENOMIC PREDICTIONS Proceedings, The Range Beef Cow Symposium XXIV November 17, 18 and 19, 2015, Loveland, Colorado HOW TO USE COMMERCIALLY AVAILABLE GENOMIC PREDICTIONS M.G. Gonda Department of Animal Science South Dakota

More information

The development of breeding strategies for the large scale commercial dairy sector in Zimbabwe

The development of breeding strategies for the large scale commercial dairy sector in Zimbabwe The development of breeding strategies for the large scale commercial dairy sector in Zimbabwe Ntombizakhe Mpofu (2002) ZaBelo Livestock Consultancy, P.O. Box 911, Bulawayo, Zimbabwe Background The Zimbabwean

More information

Improving fertility through management and genetics.

Improving fertility through management and genetics. Improving fertility through management and genetics., Director of Research, Holstein USA Introduction It is a great pleasure to be giving this talk to an international group of enthusiast Holstein breeders

More information

Edinburgh Research Explorer

Edinburgh Research Explorer Edinburgh Research Explorer Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle Citation for published version: Mehrban, H, Lee, DH, Moradi, MH, IlCho, C, Naserkheil,

More information

Revolutionizing genetics in the cattle industry. Extensive toolset. Proven technology. Collaborative approach.

Revolutionizing genetics in the cattle industry. Extensive toolset. Proven technology. Collaborative approach. Revolutionizing genetics in the cattle industry. Extensive toolset. Proven technology. Collaborative approach. Breed success. Join the revolution. Beef cattle with improved meat quality. Exceptional tenderness.

More information

Genomic Selection using low-density marker panels

Genomic Selection using low-density marker panels Genetics: Published Articles Ahead of Print, published on March 18, 2009 as 10.1534/genetics.108.100289 Genomic Selection using low-density marker panels D. Habier 1,2, R. L. Fernando 2 and J. C. M. Dekkers

More information

Breeding for Profit from Beef Production ( )

Breeding for Profit from Beef Production ( ) IRISH CATTLE BREEDING FEDERATION Breeding for Profit from Beef Production ( ) Animal Evaluation Unit 1 Overview Overview of Irish beef industry ICBF, ICBF database & Animal Events What are genetic evaluations?

More information

Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances

Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances J. Dairy Sci. 97 :6547 6559 http://dx.doi.org/ 0.368/jds.04-80 American Dairy Science Association, 04. Open access under CC BY-NC-ND license. Comparison of genomic predictions using genomic relationship

More information

COW CALF BREEDING AND GENETICS. Dhuyvetter

COW CALF BREEDING AND GENETICS. Dhuyvetter COW CALF Management School BREEDING AND GENETICS John Dhuyvetter Bulls (Selection) Genetic Strategies Effectiveness a function of variation, heritability, and accuracy Choice of breeds and individuals

More information

france, genetic selection & technology-driven innovation

france, genetic selection & technology-driven innovation france, genetic selection & technology-driven innovation THE KEY FIGURE: Already over 750 000 genotyping tests completed for genomic selection purposes The genomic selection revolution is underway The

More information

PROCEEDINGS OF THE SYMPOSIUM ON CONTINUOUS EVALUATION IN DAIRY CATTLE

PROCEEDINGS OF THE SYMPOSIUM ON CONTINUOUS EVALUATION IN DAIRY CATTLE PROCEEDINGS OF THE SYMPOSIUM ON CONTINUOUS EVALUATION IN DAIRY CATTLE College Park, MD June 13, 1993 PROCEEDINGS OF THE SYMPOSIUM ON CONTINUOUS EVALUATION IN DAIRY CATTLE College Park, MD June 13, 1993

More information

Chapter 20 Biotechnology and Animal Breeding

Chapter 20 Biotechnology and Animal Breeding Source: NILGS (Japan) I. Reproductive Technologies II. Molecular Technologies Learning Objective: To learn about recent biotechnologies that are currently available and are likely to affect animal breeding.

More information

Parentage-based DNA traceback in beef and dairy cattle

Parentage-based DNA traceback in beef and dairy cattle University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Publications from USDA-ARS / UNL Faculty U.S. Department of Agriculture: Agricultural Research Service, Lincoln, Nebraska

More information

TECHNICAL BULLETIN December 2017

TECHNICAL BULLETIN December 2017 TECHNICAL BULLETIN December 2017 MORE INFORMED COMMERCIAL ANGUS REPLACEMENT HEIFER DECISIONS WITH GENEMAX ADVANTAGE Zoetis Genetics Angus Genetics Inc. 333 Portage Street 3201 Frederick Avenue Kalamazoo,

More information

Section 4 - Guidelines for DNA Technology. Version October, 2017

Section 4 - Guidelines for DNA Technology. Version October, 2017 Section 4 - Guidelines for DNA Technology Section 4 DNA Technology Table of Contents Overview 1 Molecular genetics... 4 1.1 Introduction... 4 1.2 Current and potential uses of DNA technologies... 4 1.2.1

More information

Breed effects and genetic parameter estimates for calving difficulty and birth weight in a multibreed population 1

Breed effects and genetic parameter estimates for calving difficulty and birth weight in a multibreed population 1 Published May 6, 2016 Breed effects and genetic parameter estimates for calving difficulty and birth weight in a multibreed population 1 C. M. Ahlberg,* L. A. Kuehn, R. M. Thallman, S. D. Kachman, W. M.

More information

More cattle are being marketed on carcass. Selection for Carcass Merit. Texas Adapted Genetic Strategies for Beef Cattle IX: Genetics of Carcass Merit

More cattle are being marketed on carcass. Selection for Carcass Merit. Texas Adapted Genetic Strategies for Beef Cattle IX: Genetics of Carcass Merit E-165 8/09 Texas Adapted Genetic Strategies for Beef Cattle IX: Selection for Carcass Merit Stephen P. Hammack* More cattle are being marketed on carcass merit. This has prompted greater interest in breeding

More information

Sequencing Millions of Animals for Genomic Selection 2.0

Sequencing Millions of Animals for Genomic Selection 2.0 Proceedings, 10 th World Congress of Genetics Applied to Livestock Production Sequencing Millions of Animals for Genomic Selection 2.0 J.M. Hickey 1, G. Gorjanc 1, M.A. Cleveland 2, A. Kranis 1,3, J. Jenko

More information

Crossbreeding in Beef Cattle

Crossbreeding in Beef Cattle W 471 Crossbreeding in Beef Cattle F. David Kirkpatrick, Professor Department of Animal Science Improving the productivity and efficiency of a commercial beef production operation through genetic methods

More information

Genomic Selection Using Low-Density Marker Panels

Genomic Selection Using Low-Density Marker Panels Copyright Ó 2009 by the Genetics Society of America DOI: 10.1534/genetics.108.100289 Genomic Selection Using Low-Density Marker Panels D. Habier,*,,1 R. L. Fernando and J. C. M. Dekkers *Institute of Animal

More information

Multibreed herd, growth, feed efficiency, ultrasound, carcass, genetic-genomic research

Multibreed herd, growth, feed efficiency, ultrasound, carcass, genetic-genomic research Multibreed herd, growth, feed efficiency, ultrasound, carcass, genetic-genomic research M. A. Elzo University of Florida The UF Multibreed Herd Data Recording System Mating System Genetics Research Genomics

More information

6/14/13. Jerry Taylor Emerging Technologies Committee Breakout. Bovine Respiratory Disease. Respiratory Disease. The Rumors Are True

6/14/13. Jerry Taylor Emerging Technologies Committee Breakout. Bovine Respiratory Disease. Respiratory Disease. The Rumors Are True The Rumors Are True Updates on USDA Bovine Respiratory Disease, Feed Efficiency and Heifer Fertility Projects Jerry Taylor University of Missouri Beef Improvement Federation Annual Meeting Renaissance

More information

Local Genetic Adaptation in Beef Cattle Jared Decker Assistant Professor Beef Genetics Specialist Computational Genomics

Local Genetic Adaptation in Beef Cattle Jared Decker Assistant Professor Beef Genetics Specialist Computational Genomics Local Genetic Adaptation in Beef Cattle Jared Decker Assistant Professor Beef Genetics Specialist Computational Genomics Select on Genetics Reliable EPDs for Young Animals Match Cattle to Environment Select

More information

Whole-Genome Genetic Data Simulation Based on Mutation-Drift Equilibrium Model

Whole-Genome Genetic Data Simulation Based on Mutation-Drift Equilibrium Model 2012 4th International Conference on Computer Modeling and Simulation (ICCMS 2012) IPCSIT vol.22 (2012) (2012) IACSIT Press, Singapore Whole-Genome Genetic Data Simulation Based on Mutation-Drift Equilibrium

More information

B+LNZ Genetics + ICAR

B+LNZ Genetics + ICAR B+LNZ Genetics + ICAR Agenda B+LNZ Genetics Background New Zealand Livestock Farming B+LNZ Genetics & Beef B+LNZ Genetics & Sheep Why B+LNZ Genetics + ICAR? Partnership > Government + Sheep & Beef Farmers

More information

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

Proceedings, The Range Beef Cow Symposium XXIII December 3, 4 and 5, 2013 Rapid City, South Dakota Proceedings, The Range Beef Cow Symposium XXIII December 3, 4 and 5, 2013 Rapid City, South Dakota Understanding and Applying Economically Relevant Traits (ERT) and Indices for the Commercial Cattle Rancher

More information