
Download - Foreign Collaborations 1
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8/3/2019 Foreign Collaborations 1
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G.R. WiggansAnimal Improvement Programs Laboratory
Agricultural Research Service, USDABeltsville, MD
2008G.R. WiggansDHI-Provo Herd Management Conference (1)
Whats Coming in
Genomic Evaluationsand How It Affects You
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What are genomic evaluations?
DNA extracted from blood, hair, or semen ~40,000 genetic markers (SNPs) evaluated
For each SNP, difference in PTA between
animals with one allele compared to theother is estimated
Genomic evaluation combines SNP effect
estimates with existing PA or PTA
Genomic data contribute ~11 daughterequivalents to reliability
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What is a SNP?
Single-nucleotide polymorphism
Place on the chromosome where animals differ in thenucleotides (A, C, T, or G) they have
Usually not part of the gene that controls a trait quantitative trait locus (QTL)
With enough SNPs, association between SNP alleles
and QTL alleles gives useful evaluations
SNPs chosen to be distributed evenly and have bothalleles well represented in population
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Genomic vs. traditional PTA
Genotype can be thought of as source of informationlike parents, progeny, and records
Official PTA will have a indicator if they include agenomic contribution
One genotype is used to calculate genomicevaluations for all 29 traits
Genomic evaluations used the same way astraditional PTA
Expected to increase rate of genetic improvementbecause of a large decrease in generation interval
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Whats happened so far
Illumina BovineSNP50 BeadChip developed
Accuracy of genomic information assessed by using2003 evaluations of bulls born before 2000 to predict2008 evaluations of young bulls
Test evaluations began to provide genomicevaluations of bull calves in April
Jersey results released in October
New results released every 2 months
Nearly 15,000 animals genotyped through October
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Genotyped animals (October 2008)
Breed Bulls Cows PredictorsHolstein 12,275 2,445 7,821
Jersey 1,205 369 1,428
Brown Swiss 365 3 359
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How to get animals genotyped
Participating AI organizations have 5-year exclusiveright to evaluate bulls genomically
Each AI organization genotypes first-choice flushes,thereby usually avoiding duplicate genotypes
Web-based system being developed to collectnominations
Avoid duplication
Confirm validity of ID and pedigree
Breed associations developing cow genotypingservice
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What can go wrong
Sample doesnt provide adequate DNA quality orquantity
Genotype has many SNPs that cant be determined(90% call rate required)
Genotype conflicts with parent(s)
Pedigree error
Sample ID error
Laboratory error
Genotype checked against all others to find trueparent
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Collaboration with Canada
Semex Supported since beginning of genomics
research
Contributed valuable genotypes to firstaccuracy test
Genotypes will be shared between AIPL and
Canadian Dairy Network
AIPL and University of Guelph collaboration
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Collaboration with Canada (cont.)
Canadian and U.S. evaluations of genotypedanimals expected to have same accuracy becausesame set of predictor animals used
Canada expects official release of genomicevaluations in April 2009
Young animals expected to be evaluated only byone country
Common procedures between 2 countries assistin industry acceptance
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DNA laboratories
Research
Bovine Functional Genomics Laboratory (BFGL), USDA(Beltsville, MD)
University of Alberta (Edmonton, AB, Canada)
University of Missouri (Columbia, MO)
Illumina (San Diego, CA)
Commercial
GeneSeek (Lincoln, NE)
Genetics & IVF Institute (Fairfax, VA)
Genetic Visions (Middleton, WI) DNA LandMarks (Saint-Jean-sur-Richelieu, QC, Canada)
Maxxam Analytics (Mississauga, ON, Canada)
ABS (DeForest, WI, through SyGen/PIC, Franklin, KY )
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Use of genomic evaluations
AI organizations determine which youngbulls to buy
Considered in selection of mating sires
Impact on bull dam selection will increase
May be used to market semen from 2-year-old bulls
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January 2009
Genomic evaluations become official
Genotyped ancestors contribute theirevaluations to descendents
Evaluations of all genotyped females are public
Evaluations of males enrolled with NAAB or24 months old are public
Young-bull genomic evaluations may be sharedamong AI organizations or disclosed by owner
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Impact on producers
Young-bull evaluations will have accuracy of earlyfirst-crop evaluations
AI organizations may market genomicallyevaluated 2-year-olds
Genotypes for bull dams likely to be required
Rate of genetic improvement likely to increase byup to 50%
Progeny-test programs will change
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Schedule
Calculate SNP effects with each of 3 annualtraditional evaluations
Calculate genomic evaluations once or more
between traditional evaluations, monthly?
Recalculate SNP effects if significantnumber of predictor animals added
Use existing SNP effects if only younganimals added
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Improvements
Require bar codes on sample containers toreduce errors and improve lab efficiency
Establish routine system to detect, report, andresolve parent-progeny genotype conflicts
Enroll animals that might be genotyped at birthto minimize ID issues when genotyped
Reduce processing time by enabling labs toreport genotypes directly to AIPL
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Plans to increase accuracy
Genotype more predictor bulls(most active bulls expected to be genotyped soon)
Reach 1,500 Brown Swiss through foreigncollaboration?
Increase genotyped Jerseys from both domesticanimals and possible foreign collaboration
Investigate across-breed analysis to allow datafrom Holsteins to improve accuracy for Jerseysand Brown Swiss
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International implications
All major dairy countries investigating genomicselection
Interbull meeting in January to discuss howgenomic evaluations should be integrated
AI organizations need to find balance betweencompetitive benefits from treating genotypesas proprietary versus sharing
Importing countries must change rules to allowfor genomically evaluated young bulls
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Low-cost genotyping research
Develop a genetic test thats cheap enough toenable use for most animals
Provide parentage verification/discovery
Provide genetic estimate useful for first-stagescreening
384 SNPs proposed for first test
High throughput procedures being developed
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Longer-term possibilities
Determine inheritance of individualchromosome segments (haplotyping)
May allow better tracking of QTL
Approximate genotypes of missing ancestorsto increase predictor population
Increase number of SNPs or even use entireDNA sequence
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Implications
Extraordinarily rapid implementation ofgenomic evaluations
Young bull acquisition and marketing
now based on genomic evaluations
Increase in diversity of bull dams
considered
Industry groups taking responsibility forgenotyping and validation
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Financial support
National Research Initiative grants, USDA
NAAB (Columbia, MO) ABS Global (DeForest, WI) Accelerated Genetics (Baraboo, WI) Alta (Balzac, AB)
Genex (Shawano, WI) New Generation Genetics (Fort Atkinson, WI) Select Sires (Plain City, OH) Semex Alliance (Guelph, ON) Taurus-Service (Mehoopany, PA)
Holstein Association USA (Brattleboro, VT)
American Jersey Cattle Association (Reynoldsburg, OH)
Agricultural Research Service, USDA