2007 John Cole, Paul VanRaden, George Wiggans, and Melvin Kuhn Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD,

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Presentation transcript:

2007 John Cole, Paul VanRaden, George Wiggans, and Melvin Kuhn Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD, USA AIPL Update

NAAB Dairy Sire Evaluation Committee, October (2) AIPL 2008 Genotyped animals (October 2008) BreedBullsCowsPredictors Holstein12,2752,4457,821 Jersey1, ,428 Brown Swiss

NAAB Dairy Sire Evaluation Committee, October (3) AIPL 2008 Experimental Design Holstein, Jersey, and Brown Swiss breeds HOJEBS Predictor: Bulls born <19993, Cows with data202 Predictee: Bulls born >19991, Data from 2003 used to predict independent data from 2008

NAAB Dairy Sire Evaluation Committee, October (4) AIPL 2008 Reliability Gain 1 by Breed Yield traits and NM$ TraitHOJEBS Net merit2393 Milk23110 Fat33155 Protein2241 Fat % Protein % Gain above parent average reliability ~35%

NAAB Dairy Sire Evaluation Committee, October (5) AIPL 2008 Reliability Gain by Breed Health and type traits TraitHOJEBS Productive life18122 Somatic cell score21116 Dtr pregnancy rate165- Final score186- Udder depth35133 Foot angle1410- Stature2693

NAAB Dairy Sire Evaluation Committee, October (6) AIPL 2008 New Genetic Terms  Actual vs. expected genetic similarity Genomic relationships and inbreeding Genomic future inbreeding (GFI) vs. EFI  Daughter merit vs. son merit  Haplotyping and imputation Which allele is from sire vs. dam? Which alleles are linked together? Can missing genotypes be predicted?

NAAB Dairy Sire Evaluation Committee, October (7) AIPL 2008 Genomic vs. Pedigree Inbreeding BullPedigree FGenomic F O Man Ramos Shottle Planet Earnit Nifty Correlation =.68

NAAB Dairy Sire Evaluation Committee, October (8) AIPL 2008 Genomic vs. Expected Future Inbreeding BullEFIGFI Blackstar7.9 Elevation Chief Emory RC Matt Juror7.06.7

NAAB Dairy Sire Evaluation Committee, October (9) AIPL 2008 Net Merit by Chromosome Planet - high Net Merit bull

NAAB Dairy Sire Evaluation Committee, October (10) AIPL 2008 Schedule  Calculate SNP effects with each of 3 annual traditional evaluations  Calculate genomic evaluations once or more between traditional evaluations, monthly? Recalculate SNP effects if significant number of predictor animals added Use existing SNP effects if only young animals added

NAAB Dairy Sire Evaluation Committee, October (11) AIPL 2008 Official release in 2009  Information from genomic evaluations propagated to evaluations of descendents without genotypes  NAAB to manage bull-owner notification and sharing among AI organizations  Public release of genomic evaluations Cows soon after calculated Bulls when enrolled with NAAB or Canadian AI organization Shared by agreement with owner

NAAB Dairy Sire Evaluation Committee, October (12) AIPL 2008 Low cost genotyping research  Develop a genetic test that is cheap enough to enable use on most animals  Provide parentage verification/discovery  Provide a genetic estimate useful for first stage screening  384 SNP proposed for first test  High throughput procedures being developed

NAAB Dairy Sire Evaluation Committee, October (13) AIPL 2008 Reliability of evaluations  Reliability from inverse of a matrix with order the number of genotyped animals  Approximation necessary as number of genotyped animals increases  Daughter equivalents discounted by 0.6 to represent better the reliability of 2003 data in predicting bulls first evaluated in 2008

NAAB Dairy Sire Evaluation Committee, October (14) AIPL 2008 Plans to increase accuracy  Genotype more predictor bulls  Reach 1,500 Brown Swiss, possibly through foreign collaboration  Increase genotyped Jerseys from both domestic animals and possible foreign collaboration  Investigate across-breed analysis so Holstein data can improve accuracy for Jerseys and Brown Swiss

NAAB Dairy Sire Evaluation Committee, October (15) AIPL 2008 Haplotyping  Haplotyping may increase accuracy  Even a SNP very close to a QTL may have a different allele frequency  Haplotype allele may have higher correlation with the QTL  May assist in imputation of genotypes of missing SNP and perhaps whole animals

NAAB Dairy Sire Evaluation Committee, October (16) AIPL 2008 International implications  All major dairy countries are investigating genomic selection  Interbull meeting in January on integration of genomic evaluations  Studs must balance competitive benefit from treating genotypes as proprietary with benefits from sharing

NAAB Dairy Sire Evaluation Committee, October (17) AIPL 2008 Interbull  Genomics contribution to accuracy should be reported Avoid double counting when submitted by multiple countries Could be processed similar to parent contribution  Change in 10-herd requirement needed to allow marketing bulls with only genomic information in countries without genomic evaluations

NAAB Dairy Sire Evaluation Committee, October (18) AIPL 2008 Query example

NAAB Dairy Sire Evaluation Committee, October (19) AIPL 2008 Dystocia Complex  Markers on BTA 18 had the largest effects for several traits: Dystocia: Sire and daughter calving ease Conformation: rump width, stature, strength, and body depth Efficiency: longevity and net merit  Large calves contribute to shorter PL and decreased NM$

NAAB Dairy Sire Evaluation Committee, October (20) AIPL 2008

NAAB Dairy Sire Evaluation Committee, October (21) AIPL 2008 Markers on BTA18 with large effects

NAAB Dairy Sire Evaluation Committee, October (22) AIPL 2008 SIGLEC proteins  Human Siglec-9 highly expressed in the placenta (Foussias, 2000).  Human Siglec-6 may be involved in initiation of parturition (Brinkman- Van der Linden et al., 2007).  Siglec-6 binds and sequesters leptin (Brinkman-Van der Linden et al., 2007).

NAAB Dairy Sire Evaluation Committee, October (23) AIPL 2008 Proposed mode of action  Leptin-deficient mice delay parturition (Mounzih et al., 1998).  Homozygotes may express high levels of Siglec-6, resulting in leptin deficiency and delayed parturition.  ss may result in increased calf size associated with longer gestation lengths.

NAAB Dairy Sire Evaluation Committee, October (24) AIPL 2008 Interbull fertility traits  Heifer conception as a rate (heifer conception rate)‏.  Ability to recycle after calving (days to first breeding)‏.  Cow conception as a rate (cow conception rate) and interval (first breeding to conception)‏.  Calving to conception (days open)‏.

NAAB Dairy Sire Evaluation Committee, October (25) AIPL 2008 Status of fertility traits  Traits 1 and 3 (heifer and cow conception rates) submitted to Sept test run.  Work on Trait 2 (days to first breeding) is underway.  Trait 4 (ability to conceive as an interval) is now required.  We already report Trait 5 (DPR).

NAAB Dairy Sire Evaluation Committee, October (26) AIPL 2008 Heifer and cow conception rate  Heifer conception rate (HCR) is the percentage of inseminated heifers that become pregnant at each service.  Cow conception rate (CCR) is defined as the percentage of inseminated cows that become pregnant at each service.

NAAB Dairy Sire Evaluation Committee, October (27) AIPL 2008 Conception rate variance components

NAAB Dairy Sire Evaluation Committee, October (28) AIPL 2008 Correlations among fertility PTA Correlations among PTA for bulls with at least100 CR daughters.

NAAB Dairy Sire Evaluation Committee, October (29) AIPL 2008 Distribution of Heifer CR PTA

NAAB Dairy Sire Evaluation Committee, October (30) AIPL 2008 Distribution of Cow CR PTA

NAAB Dairy Sire Evaluation Committee, October (31) AIPL 2008 Top bulls – Heifer CR

NAAB Dairy Sire Evaluation Committee, October (32) AIPL 2008 Bottom bulls – Heifer CR

NAAB Dairy Sire Evaluation Committee, October (33) AIPL 2008 Top bulls – Cow CR

NAAB Dairy Sire Evaluation Committee, October (34) AIPL 2008 Bottom bulls – Cow CR

NAAB Dairy Sire Evaluation Committee, October (35) AIPL 2008 Acknowledgments  Genomics work supported by NRI Grants and and by NAAB.  Much of the work on heifer and cow CR was carried out by Dr. Melvin Kuhn while he was at AIPL.