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,

Slides:

Advertisements

Similar presentations

Genomic imputation and evaluation using 1074 high density Holstein genotypes P. M. VanRaden 1, D. J. Null 1 *, G.R. Wiggans 1, T.S. Sonstegard 2, E.E.

Advertisements

2002 Paul M. VanRaden and Ashley H. Sanders Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD

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.

Breed composition of the United States dairy cattle herd R. L. Powell,* H. D. Norman, and J. L. Hutchison Animal Improvement Programs Laboratory, Agricultural.

ADSA 2002 (HDN-P1) 2002 Comparison of occurrence and yields of daughters of progeny-test and proven bulls in artificial insemination and natural- service.

Mating Programs Including Genomic Relationships and Dominance Effects

Chuanyu Sun Paul VanRaden National Association of Animal breeders, USA Animal Improvement Programs Laboratory, USA Increasing long term response by selecting.

2007 Paul VanRaden 1, George Wiggans 1, Curt Van Tassell 2, Tad Sonstegard 2, Jeff O’Connell 1, Bob Schnabel 3, Jerry Taylor 3, and Flavio Schenkel 4,

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,*

Impacts of inclusion of foreign data in genomic evaluation of dairy cattle K. M. Olson 1, P. M. VanRaden 2, D. J. Null 2, and M. E. Tooker 2 1 National.

George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD National Association.

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.

 PTA mobility was highly correlated with udder composite.  PTA mobility showed a moderate, positive correlation with production, productive life, and.

2007 Paul VanRaden, Curt Van Tassell, George Wiggans, Tad Sonstegard, and Jeff O’Connell Animal Improvement Programs Laboratory and Bovine Functional Genomics.

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,

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.

Assessment of voluntary waiting period and frequency of estrus synchronization among herds R.H. Miller, 1, * H.D. Norman, 1 M.T. Kuhn, 1 and J.S. Clay.

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.

John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD , USA The use and.

H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD NDHIA San Antonio.

H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Missouri Dairy Summit.

Genetic Evaluation of Lactation Persistency Estimated by Best Prediction for Ayrshire, Brown Swiss, Guernsey, and Milking Shorthorn Dairy Cattle J. B.

Adjustment of selection index coefficients and polygenic variance to improve regressions and reliability of genomic evaluations P. M. VanRaden, J. R. Wright*,

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,

G.R. Wiggans* and P.M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD

2007 Paul VanRaden, Melvin Tooker*, George Wiggans Animal Improvement Programs Laboratory 2009 Can you believe those genomic.

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 Mid-Atlantic Dairy Grazing Conference, 2006 (1) Is There a Need for Different Genetics in Dairy Grazing Systems? H. D. Norman, J. R. Wright, R. L.

2006 H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD

2007 Paul VanRaden Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD, USA

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (1) Dr. H. Duane Norman Interim Administrator Council on Dairy Cattle Breeding.

Genetic and environmental factors that affect gestation length H. D. Norman, J. R. Wright, M. T. Kuhn, S. M. Hubbard,* and J. B. Cole Animal Improvement.

2007 Paul VanRaden and Melvin Tooker* Animal Improvement Programs Laboratory 2010 Gains in reliability from combining subsets.

H.D. Norman* and J.L. Hutchison Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD , USA

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.

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,

Multibreed Genomic Evaluation Using Purebred Dairy Cattle K. M. Olson* 1 and P. M. VanRaden 2 1 Department of Dairy Science Virginia Polytechnic and State.

H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD California Dairy Herd.

2005 Paul VanRaden and Mel Tooker Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Genetic.

G.R. Wiggans* 1, P.M. VanRaden 1, L.R. Bacheller 1, F.A. Ross, Jr. 1, M.E. Tooker 1, J.L. Hutchison 1, T.S. Sonstegard 2, and C.P. Van Tassell 1,2 1 Animal.

H.D. Norman* J.R. Wright, P.M. VanRaden, and M.T. Kuhn Animal Improvement Programs Laboratory Agricultural.

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.

Effects of dam’s dry period length on heifer development H. D. Norman and J. L. Hutchison* Animal Improvement Programs Laboratory, Agricultural Research.

2001 ADSA Indianapolis 2001 (1) Heterosis and Breed Differences for Yield and Somatic Cell Scores of US Dairy Cattle in the 1990’s. PAUL VANRADEN Animal.

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

C.P. Van Tassell 1, * G.R. Wiggans 1, J.C. Philpot 1, and I. Misztal Animal Improvement Programs Laboratory Agricultural Research Service, USDA,

2007 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA 2008 New.

 The United States provided the most foreign sires of sons every year, as high as 86%.  Canada was second in most years.  Combined, North American contributed.

H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Dairy Cattle Reproductive.

Multibreed Genomic Evaluations in Purebred Dairy Cattle K. M. Olson 1 and P. M. VanRaden 2 1 National Association of Animal Breeders 2 AIPL, ARS, USDA.

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.

CRI – Spanish update (1) 2010 Status of Dairy Cattle Breeding in the United States Dr. H. Duane Norman Animal Improvement Programs Laboratory Agricultural.

2007 Paul VanRaden 1, Curt Van Tassell 2, George Wiggans 1, Tad Sonstegard 2, Bob Schnabel 3, Jerry Taylor 3, and Flavio Schenkel 4, Paul VanRaden 1, Curt.

Paul VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD 2014 Paul VanRaden Advancing.

H.D. NORMAN,* R.L. POWELL, J.R. WRIGHT

A National Sire Fertility Index

Predictions of Breed Composition Using Holsteins, Jersey, and Brown Swiss Genotypes K. M. Olson and P. M. VanRaden.

Can you believe those genomic evaluations for young bulls?

Extent of sexed-semen usage

Percent of total breedings

Abstr. M4 Merit of obtaining genetic evaluations of milk yield for each parity on Holstein bulls H.D. Norman, J.R. Wright,* R.L. Powell, and P.M. VanRaden.

Increased reliability of genetic evaluations for dairy cattle in the United States from use of genomic information Abstr.

Alternatives for evaluating daughter performance of progeny-test bulls between official evaluations Abstr. #10.

Effectiveness of genetic evaluations in predicting daughter performance in individual herds H. D. Norman 1, J. R. Wright 1*, C. D. Dechow 2 and R. C.

Presentation transcript:

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, MO 2 Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD Abstr. M67 CONCLUSIONS Breeding companies are continuing to adapt their protocols and young bull buying criteria accordingly. All of this has led a higher emphasis of marketing young bulls and to an increase in the use of young bulls in the United States. Simulation studies indicate that even more young bull should be used to optimize genetic gains. Similarly, use of heifers instead of cows as bull dams is recommended. DISCUSSION ●There was an increased use of young sire semen for Holsteins and Jerseys between 2006 and 2010, with the Holsteins having the largest increase at 13 percentage units. This was an expected result due do the larger gains in genomics for the Holstein breed. Brown Swiss did not show much change, probably due to the lower gains in reliability from genomics. ●Older sires remained constant across time ranging from 14-19% for Holsteins, 16-24% for Jerseys, and 28-35% for Brown Swiss. ●The first-crop sire group saw the largest reduction for the Holsteins with a decrease of 9 percentage units between 2006 and ●The percentage of young bulls genotyped increased drastically from 2008 to 2010 and is now above 97% for all 3 breeds. ●The median percentile ranking for available young bulls rank for $Net Merit was 88%, 82%, and 81% for Holsteins, Jersey and Brown Swiss (the average of proven bulls is 50%). ●The proportion of young bulls that are genotyped and then marketed (AI status=G) is 4% for Holstein, 10% for Jersey and 7% for Brown Swiss. ●The progress per generation based on the simulation was 0.23 before genomics for the Holsteins and was 0.43 after genomics (with the use of 95% young bulls). ●The simulation showed that the optimum use of young sire semen was above 95% for Holsteins, Brown Swiss, and Jersey. INTRODUCTION The implementation of genomic evaluations has increased the reliability of genetic evaluations. Current gains in reliability (%) due to genomic for young bulls for production traits are 33, 22, and 14 resulting in reliabilities 73, 62, and 53 of for Holsteins, Jerseys, and Brown Swiss, respectively. A genomically tested young bull has about the same reliability as a proven bull did previously. This may cause heaver use of young bull semen because producers can use them with more confidence. Higher use of young sires and higher selection intensity on parents of bulls (due to genomic selection) would also increase the genetic gains. RESULTS Percentage of inseminations by breeding year, service sire age, and breed ●Holstein ●Jersey ●Brown Swiss Percentage of young bulls (age ) that were genotyped by year and breed OBJECTIVES ●To investigate the use of young bulls over the last five years to quantify changes in bull semen use that might be attributed to the advent of genomic evaluations ●To investigate the optimum level of young bull use given the current genomic evaluation situation MATERIALS AND METHODS ●Brown Swiss, Jersey, and Holstein insemination records from January 2006 through December 2010 obtained from the dairy records processing centers ●Service sire age (at time of insemination) included 3 age groups: young ( yr), first-crop ( yr) and old (≥8.0 yr) ●Genomic status was determined at the time of insemination and the date of genotyping of the bull. Bulls that were genotyped before official releases (April 2008 for Holsteins and Jerseys and August 2008 for Brown Swiss) were set to non-genotyped until the official release. ●Net Merit ($) and corresponding percentile ranks were based from the USDA official April 2011 genetic evaluation ●A simulation was conducted to determine optimum levels of young bull use. The four pathway method was used which consisted of sire of sire, sire of dam, dam of sire, and dam of dam pathways. The assumptions used were based on data (where available), literature, or in a few cases best guess. Genetic gains by generation interval were compared to identify the optimum level of young bull use. Number of Inseminations by breed and year Breed Holstein Jersey Brown Swiss ,347,933123,13322, ,125,893200,75624, ,295,390225,63124, ,277,897250,61522, ,706,678279,70523,094 Total 20,753,7911,079,840116,819