H. D. Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD 20705-2350 2011 DRMS annual.

Slides:



Advertisements
Similar presentations
2007 Paul VanRaden 1, Jeff O’Connell 2, George Wiggans 1, Kent Weigel 3 1 Animal Improvement Programs Lab, USDA, Beltsville, MD, USA 2 University of Maryland.
Advertisements

John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD , USA Applications.
Impact of selection for increased daughter fertility on productive life and culling for reproduction H. D. Norman, J. R. Wright*, R. H. Miller Animal Improvement.
Genomic evaluation of Ayrshire dairy cattle and new haplotypes affecting fertility and stillbirth in Holstein, Brown Swiss and Ayrshire breeds T.A. Cooper*,
Wiggans, 2014CDCB meeting – August 5 (1) G.R. Wiggans Animal Genomics and Improvement Laboratory Agricultural Research Service, USDA Beltsville, MD
Breed composition of the United States dairy cattle herd R. L. Powell,* H. D. Norman, and J. L. Hutchison Animal Improvement Programs Laboratory, Agricultural.
2007 Paul VanRaden and Jeff O’Connell Animal Improvement Programs Lab, Beltsville, MD U MD College of Medicine, Baltimore, MD
2015 John B. Cole Animal Genomics and Improvement Laboratory Agricultural Research Service, USDA Beltsville, MD Genomic improvement.
Wiggans, 2013RL meeting, Aug. 15 (1) Dr. George R. Wiggans, Acting Research Leader Bldg. 005, Room 306, BARC-West (main office);
How Genomics is changing Business and Services of Associations Dr. Josef Pott, Weser-Ems-Union eG, Germany.
2007 Jana L. Hutchison Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD , USA
Effects of complex vertebral malformation gene on production and reproduction M. T. Kuhn*, J. L. Hutchison, and C. P. Van Tassell Animal Improvement Programs.
Changes in the use of young bulls K. M. Olson* 1, J. L. Hutchison 2, P. M. VanRaden 2, and H. D. Norman 2 1 National Association of Animal Breeders, Columbia,
2001 ADSA annual meeting, July 2001 (1) Timeliness of progeny-testing through AI and percentage of bulls returned to service (abstract 1020) H.D. NORMAN,*
Wiggans, 2013China Emerging Markets Program Seminar Dr. George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville,
George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD National Association.
H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD NDHIA –
2007 ADSA 2007 (1)H.D. Norman Effect of service sire and cow sire on gestation length H.D. Norman,* J.R. Wright, P.M. VanRaden, and J.B. Cole Animal Improvement.
Wiggans, 2013SRUC Imputation (1) Dr. George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD ,
Performance of Holsteins that originated from embryo transfer or twin births H.D. Norman, J.R. Wright* and R.L. Powell Animal Improvement Programs Laboratory,
Wiggans, th WCGALP (1) G.R. Wiggans*, T.A. Cooper, D.J. Null, and P.M. VanRaden Animal Genomics and Improvement Laboratory Agricultural Research.
Comparison of Holstein service-sire fertility for heifer and cow breedings with conventional and sexed semen H. D. Norman*, J. L. Hutchison, and P. M.
2002 ADSA 2002 (HDN-1) H.D. NORMAN* ( ), R.H. MILLER, P.M. V AN RADEN, and J.R. WRIGHT Animal Improvement Programs.
Norway (1) 2005 Status of Dairy Cattle Breeding in the United States Dr. H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service,
Bovine Genomics The Technology and its Applications Gerrit Kistemaker Chief Geneticist, Canadian Dairy Network (CDN) Many slides were created by.
John B. Cole 1, Daniel J. Null *1, Chuanyu Sun 2, and Paul M. VanRaden 1 1 Animal Genomics and Improvement 2 Sexing Technologies Laboratory Navasota, TX.
H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD NDHIA San Antonio.
John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD New Tools for.
John B. Cole Animal Genomics and Improvement Laboratory Agricultural Research Service, USDA Beltsville, MD Using.
John B. Cole, Ph.D. Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD, USA The U.S. genetic.
T. A. Cooper and G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD Council.
Trends in Noncompliance with Milk Quality Standards for Dairy Herd Improvement Herds in the United States H. D. Norman*, J. R. Wright Animal Improvement.
2003 Melvin Tooker, Paul VanRaden, Ashley Sanders, and George Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville,
Factors affecting heifer fertility in U.S. Holsteins M. T. Kuhn* and J. L. Hutchison Animal Improvement Programs Laboratory, Agricultural Research Service,
J. B. Cole * and P. M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD
2007 Melvin Tooker Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD, USA
John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD AIPL Report.
Wiggans, 2014ASAS-ADSA-CSAS Joint Annual Meeting (1) G.R. Wiggans* 1, T.A. Cooper 1, P.M. VanRaden 1, D.J. Null 1, J.L. Hutchison 1, O.M. Meland 2, M.E.
2006 H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
Methodology for Prediction of Bull Fertility from Field Data M. T. Kuhn* and J. L. Hutchison Animal Improvement Programs Laboratory, Agricultural Research.
Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (1) Dr. H. Duane Norman Interim Administrator Council on Dairy Cattle Breeding.
Prediction of Service Sire Fertility M.T. Kuhn 1 *, J.L. Hutchison 1, and J.S. Clay 2 1 Animal Improvement Programs Laboratory Agriculture Research Service,
2007 Paul VanRaden 1, Jeff O’Connell 2, George Wiggans 1, Kent Weigel 3 1 Animal Improvement Programs Lab, USDA, Beltsville, MD, USA 2 University of Maryland.
H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD NDHIA 2009 meeting.
John B. Cole Animal Genomics and Improvement Laboratory Agricultural Research Service, USDA Beltsville, MD What.
H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD , USA EAAP.
Multi-trait, multi-breed conception rate evaluations P. M. VanRaden 1, J. R. Wright 1 *, C. Sun 2, J. L. Hutchison 1 and M. E. Tooker 1 1 Animal Genomics.
ADSA 2002 (RHM-P1) 2002 R.H. Miller, ,1 H.D. Norman, 1 and J.S. Clay 2 1 Animal Improvement Programs Laboratory, Agricultural Research Service, USDA,
Fine Mapping and Discovery of Recessive Mutations that Cause Abortions in Dairy Cattle P. M. VanRaden 1, D. J. Null 1 *, T.S. Sonstegard 2, H.A. Adams.
H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD California Dairy Herd.
2007 John Cole, Paul VanRaden, George Wiggans, and Melvin Kuhn Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD,
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD G.R. WiggansADSA 18.
2006 GEORGE R. WIGGANS Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, Maryland ,
2007 Paul VanRaden, Dan Null, Katie Olson, Jana Hutchison Animal Improvement Programs Lab, Beltsville, MD National Association of Animal Breeders, Columbia,
George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Considering.
G.R. Wiggans 1, T. A. Cooper 1 *, K.M. Olson 2 and P.M. VanRaden 1 1 Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville,
H.D. Norman*, J.L. Hutchison, and J.R. Wright Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
2007 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA 2008 New.
WiggansCornell University, ANSC 3310, March 10, 2015 (1) Dr. George R. Wiggans Animal Genomics and Improvement Laboratory Agricultural Research Service,
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD Select Sires‘ Holstein.
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD 2011 National Breeders.
John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD Biological Insights.
CRI – Spanish update (1) 2010 Status of Dairy Cattle Breeding in the United States Dr. H. Duane Norman Animal Improvement Programs Laboratory Agricultural.
Paul VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD 2014 Paul VanRaden Advancing.
US genomic evaluation system
H.D. NORMAN,* R.L. POWELL, J.R. WRIGHT
Genomic Evaluations.
A National Sire Fertility Index
Contribution of inbreeding and recessive defects to early embryo loss
Percent of total breedings
Presentation transcript:

H. D. Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD DRMS annual meeting & NDHIA board meeting (1) AIPL Research Update

Norman DRMS annual meeting & NDHIA board meeting (2) 2011 Topic 1 Effect of bulk-tank SCC standard in DHI and Federal Milk Orders

Norman DRMS annual meeting & NDHIA board meeting (3) 2011 DHI noncompliance by herd size – NMPF 3 of 5 consecutive BTSCC tests exceeding a limit of 750,000 cells/mL 600,000 cells/mL 500,000 cells/mL 400,000 cells/mL

Norman DRMS annual meeting & NDHIA board meeting (4) 2011 DHI noncompliance by herd size – NDHIA 4 consecutive 3-mo geometric mean BTSCC exceeding a limit of 750,000 cells/mL 600,000 cells/mL 500,000 cells/mL 400,000 cells/mL

Norman DRMS annual meeting & NDHIA board meeting (5) 2011 DHI noncompliance by herd size – NMC 3-mo geometric mean BTSCC exceeding limit plus next BTSCC test exceeding a limit of 750,000 cells/mL 550,000 cells/mL

Norman DRMS annual meeting & NDHIA board meeting (6) 2011 FMO noncompliance by milk sold – NMPF 3 of 5 consecutive BTSCC tests exceeding a limit of 750,000 cells/mL 600,000 cells/mL 500,000 cells/mL 400,000 cells/mL

Norman DRMS annual meeting & NDHIA board meeting (7) 2011 FMO noncompliance by milk sold – NDHIA 4 consecutive 3-mo geometric mean BTSCC exceeding a limit of 750,000 cells/mL 600,000 cells/mL 500,000 cells/mL 400,000 cells/mL

Norman DRMS annual meeting & NDHIA board meeting (8) 2011 FMO noncompliance by milk sold – NMC 3-mo geometric mean BTSCC exceeding limit plus next BTSCC test exceeding a limit of 750,000 cells/mL 550,000 cells/mL

Norman DRMS annual meeting & NDHIA board meeting (9) 2011 Topic 2 Genotyping

Norman DRMS annual meeting & NDHIA board meeting (10) 2011 New genotypes 0 1,000 2,000 3,000 4,000 5,000 6, K and HD – 77,553 total Totals as of July K – 42,512 total

Norman DRMS annual meeting & NDHIA board meeting (11) 2011 Sex distribution – August 2010 Males 61% Females 39% All genotypes

Norman DRMS annual meeting & NDHIA board meeting (12) 2011 Sex distribution – July 2011 Males 42% All genotypes Females 58%

Norman DRMS annual meeting & NDHIA board meeting (13) K sample characteristics l 93% of 3K genotypes are from females l 3K sample types include − Hair (79%) − Blood (10%) − Nasal (10%) − Semen (1%)

Norman DRMS annual meeting & NDHIA board meeting (14) 2011 Low-density chip (BovineLD – 6,909 SNPs) l Data first available in October 2011 l Evaluations coming in November 2011 l Expected to replace 3K chip because of greater genotyping accuracy w 98.9% for Holsteins (versus 95.9% for 3K) w 98.2% for Jerseys (versus 94.6% for 3K) w 97.9% for Brown Swiss (versus 93.9% for 3K) l Repeatabilities also higher with LD genotypes

Norman DRMS annual meeting & NDHIA board meeting (15) 2011 Improving pedigree accuracy l As genotypes are received, maternal grandsires (MGS) are checked, and those unlikely are reported l When MGS is unlikely, other males are examined, and the most likely alternatives are provided

Norman DRMS annual meeting & NDHIA board meeting (16) 2011 Topic 3 Discovery of haplotypes with recessive effects impacting fertility

Norman DRMS annual meeting & NDHIA board meeting (17) 2011 Dominant-recessive example l Black versus red coat color in Holsteins l Assume frequency is 90% (.90) for black allele B l Then, homozygous black (BB) frequency is expected to be 81% (.90 ×.90) l Homozygous red (bb) frequency is expected to be 1% (.10 ×.10) l Heterozygous black (Bb) frequency is expected to be 18% (2 ×.90 ×.10); i.e., red carriers

Norman DRMS annual meeting & NDHIA board meeting (18) 2011 Similar inheritance l 5 haplotypes with recessive effects impacting fertility discovered w Additive effects small and already in evaluations w Most (or all) populations already carry these l At least 19 countries have “health” laws that exclude carriers of defects w Irony: Only countries that test are banned w Thus, import restrictions make little sense

Norman DRMS annual meeting & NDHIA board meeting (19) 2011 Recessive defect discovery l Check for homozygous haplotypes w 7 – 90 expected, but 0 observed w 5 of top 11 haplotypes confirmed as lethal w 936 – 52,449 carrier sire  carrier MGS fertility records w 3.0 – 3.7% lower conception rates l Confirmed brachyspina same way

Norman DRMS annual meeting & NDHIA board meeting (20) 2011 Haplotypes impacting fertility Nam e BTA chromo -some Location, Mbases Carrier frequency, %Earliest known ancestors HH1 562–68 4.5Pawnee Farm Arlinda Chief HH2 193–98 4.6Willowholme Mark Anthony HH3 892–97 4.7Glendell Arlinda Chief, Gray View Skyliner JH11511–1623.4Observer Chocolate Soldier BH1 742–4714.0West Lawn Stretch Improver

Norman DRMS annual meeting & NDHIA board meeting (21) 2011 Effect on fertility l Determine fertility differences between matings that could have produced a recessive versus those that could not have l 3 types of bulls: tested carriers, tested noncarriers, and not tested l 9 types of sire × MGS matings (3 × 3) l Subtract fertility effects for animals with carrier sire and carrier MGS from those for animals with noncarrier sires

Norman DRMS annual meeting & NDHIA board meeting (22) 2011 Haplo- type Additive effect, CR Sire x MGS interaction NR60 NR100 NR140CR280 CVM BY HH HH HH JH BH Additive and nonadditive decreases* *Nonreturn rates or full gestation conception

Norman DRMS annual meeting & NDHIA board meeting (23) 2011 Haplo- type Conception rate BullService sireHeiferCow BYRamosN/A HH1Lucius HH2Colby HH3O-Man JH1Country – BH1Payoff Carrier bulls with high fertility

Norman DRMS annual meeting & NDHIA board meeting (24) 2011 Conclusions l Recessive defects found in 3 breeds (HH1, HH2, HH3, JH1, BH1) w Officially reported in August w Most embryo losses at <60 days l Breeders should select for fertility (not against individual defects) and mate carriers to noncarriers l Research underway to fine map the recessives

Norman DRMS annual meeting & NDHIA board meeting (25) 2011 Acknowledgment Paul VanRaden (AIPL) discovered the haplotypes that affect fertility with the assistance of: Dan Null (AIPL) Katie Olson (NAAB), and Jana Hutchison (AIPL)