Presentation is loading. Please wait.

Presentation is loading. Please wait.

Use Young Bulls More.

Published byKonrad Wieczorek Modified over 5 years ago

Similar presentations

Presentation on theme: "Use Young Bulls More."— Presentation transcript:

1 Use Young Bulls More

2 Genomic Validation Tests
Predict 2010 daughter data using 2006 PA or genomic PTA DYD2010 = apa + bpa PA e DYD2010 = apta + bpta PTA e Statistics from Jorjani, 2010 Interbull Genomics Workshop Foreign average includes DEU, FRA, NLD, DFS, JPN, POL, NZL, and CAN FRA not latest data (10,000 bulls)

3 Regressions and Gains in R2 When predicting last 4 years of data
Gain in R2 Trait USA Foreign Yield .91 .85 24 22 SCS .80 .97 15 23 Longevity 1.10 .98 8 Final score .89 .90 Udd depth 1.01 30 31 Stature 26

4 Validation Results EuroGenomics reliabilities about 5% higher than in North America 10% REL gain from exchange Similar regressions, slightly < 1.0 Validation expects regressions < 1 with selective genotyping of bulls Means of genotyped vs. nongenotyped Most countries genotyped all recent bulls

5 Use Young Bulls More?

6 Best Young, Proven Bulls in 2006
Ranked by 2006 Net Merit Computed from August 2006 data Cow adjustments not included Genomic PTAs on ftp since Nov 2009: ftp://aipl.arsusda.gov/pub/outgoing/validation0608.zip Base adjusted using: (NM$ – 132) * 1.13 Top 7 young, old bulls in each stud At least 70% reliability for traditional NM Studs 29, 14, 11, 7, 1 Young now average $495, old average $360

7 Stud 29 - Top Proven Bulls in 2006
2006 Net Merit (adj) 2010 NM$ Dtrs Trad Gen Jet Stream 108 444 458 10,600 392 Alton 484 452 6,688 541 Mango 91 301 428 9,201 413 Bolton 102 488 427 7,870 378 Burt 100 368 418 12,756 Boliver 117 417 402 24,722 Turner 169 2,917 359

8 Stud 29 - Top Young Bulls in 2006
2006 NM$ (adj) 2010 Net Merit Name Trad Gen Dtrs Garrett 509 688 132 572 559 Fortunato 523 669 103 410 481 McCormick 442 591 135 653 595 Maury 504 589 349 376 Strategist 444 588 151 578 507 Coastal 394 582 94 396 492 Beacon 114 125 593 579 8

9 Use Young Bulls More

10 Stud 14 - Top Proven Bulls in 2006
2006 Net Merit (adj) 2010 NM$ Dtrs Trad Gen Billion 73 470 461 3,685 232 Glen 91 286 396 1,382 231 Potter 99 375 23,883 380 Sailor 10,463 316 298 18,120 300 Alfie 108 296 295 937 398 Scoop 86 266 287 2,486 382 Dallas 113 283 1,504 204

11 Stud 14 - Top Young Bulls in 2006
2006 NM$ (adj) 2010 Net Merit Name Trad Gen Dtrs Kramer 473 562 79 560 503 Man-O-Man 459 558 105 692 609 Columbia 394 542 106 441 372 Outkast 450 534 77 353 Paxton 464 524 94 505 463 Dew 518 124 Doman 223 521 108 358 386 11

12 Use Young Bulls More

13 Stud 11 - Top Proven Bulls in 2006
2006 Net Merit (adj) 2010 NM$ Dtrs Trad Gen AltaAlly 753 469 444 10,673 435 AltaBirdman 74 357 438 470 281 Mac 90 243 370 2,355 380 AltaJuryman 99 376 368 1,063 422 AltaApollo 117 308 324 807 213 AltaRuffian 92 303 312 1,749 379 AltaSuede 108 278 310 13,326 247

14 Stud 11 - Top Young Bulls in 2006
2006 NM$ (adj) 2010 Net Merit Name Trad Gen Dtrs AltaOtto 608 614 104 590 569 AltaRoss 468 588 103 578 592 AltaEsquire 589 547 105 652 556 AltaOzone 495 512 92 306 378 AltaUno 436 501 373 486 AltaOasis 435 459 106 358 407 Official 504 457 259 252 14

15 Use Young Bulls More

16 Stud 7 - Top Proven Bulls in 2006
2006 Net Merit (adj) 2010 NM$ Dtrs Trad Gen O Man 1,317 653 646 58,474 724 Boone 4,845 419 408 16,815 389 Binky 57 390 379 2,633 356 Ri-Val 77 310 375 244 Matches 71 391 363 3,457 269 Man 59 406 1,781 322 Zenith 1,889 338 348 20,696 293

17 Stud 7 - Top Young Bulls in 2006
2006 NM$ (adj) 2010 Net Merit Name Trad Gen Dtrs Caruso 605 588 147 444 411 Image 224 585 75 109 294 Niagra 403 583 158 508 430 Secret 410 576 438 472 Officer 545 572 223 425 406 Hanover 442 568 90 500 556 Bronco 446 564 76 571 547 17

18 Use Young Bulls More 18

19 Stud 1 - Top Proven Bulls in 2006
2006 Net Merit (adj) 2010 NM$ Dtrs Trad Gen OBrian 94 385 496 1,351 456 Sharky 99 440 441 7,993 452 Tres 126 432 425 9,924 390 Satire 81 406 391 4,701 349 Bo 75 410 9,004 231 Lynch 29,076 374 365 56,624 348 Murphy 102 338 15,135 311

20 Stud 1 - Top Young Bulls in 2006
2006 NM$ (adj) 2010 Net Merit Name Trad Gen Dtrs Freddie 467 762 73 834 827 Awesome 472 731 90 524 576 Logan 521 646 104 630 588 Cavana 471 631 93 483 537 Bedrock 477 600 116 528 583 Lloyd 591 83 608 507 Les 376 589 121 495 550 20

21 Most Genotyped Progeny As of Jan 2010
Sire Progeny Shottle 1668 Ramos 766 Goldwyn 1245 O Man 746 Planet 1224 Bolton 667 Baxter 968 Armstead 558 Mac 848 Toystory 554 Boliver 825 Million 503

22 Use Young Bulls More

Download ppt "Use Young Bulls More."

Similar presentations

1 GMACE Implementation Pete Sullivan, CDN & Paul VanRaden*, USDA.

1 GMACE Implementation Pete Sullivan, CDN & Paul VanRaden*, USDA.
2007 Paul VanRaden and Jeff O’Connell Animal Improvement Programs Lab, Beltsville, MD U MD College of Medicine, Baltimore, MD

2007 Paul VanRaden and Jeff O’Connell Animal Improvement Programs Lab, Beltsville, MD U MD College of Medicine, Baltimore, MD
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD G.R. WiggansAlta Genetics.

G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD G.R. WiggansAlta Genetics.
2007 Paul VanRaden 1, Curt Van Tassell 2, George Wiggans 1, Tad Sonstegard 2, Jeff O’Connell 1, Bob Schnabel 3, Jerry Taylor 3, and Flavio Schenkel 4,

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

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,
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,

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,
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.

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.
2007 J. B. Cole 1,*, P. M. VanRaden 1, J. R. O'Connell 3, C. P. Van Tassell 1,2, T. S. Sonstegard 2, R. D. Schnabel 4, J. F. Taylor 4, and G. R. Wiggans.

2007 J. B. Cole 1,*, P. M. VanRaden 1, J. R. O'Connell 3, C. P. Van Tassell 1,2, T. S. Sonstegard 2, R. D. Schnabel 4, J. F. Taylor 4, and G. R. Wiggans.
2001 Interbull, August 2001 (1) Usefulness of international dairy bull evaluations Rex L. Powell Animal Improvement Programs Laboratory Agricultural Research.

2001 Interbull, August 2001 (1) Usefulness of international dairy bull evaluations Rex L. Powell Animal Improvement Programs Laboratory Agricultural Research.
2007 Paul VanRaden Animal Improvement Programs Lab, Beltsville, MD 2011 Avoiding bias from genomic pre- selection in converting.

2007 Paul VanRaden Animal Improvement Programs Lab, Beltsville, MD 2011 Avoiding bias from genomic pre- selection in converting.
2007 Paul VanRaden, Curt Van Tassell, George Wiggans, Tad Sonstegard, and Jeff O’Connell Animal Improvement Programs Laboratory and Bovine Functional Genomics.

2007 Paul VanRaden, Curt Van Tassell, George Wiggans, Tad Sonstegard, and Jeff O’Connell Animal Improvement Programs Laboratory and Bovine Functional Genomics.
2006 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA Fertility Trait.

2006 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA Fertility Trait.
2007 Paul VanRaden, George Wiggans, Jeff O’Connell, John Cole, Animal Improvement Programs Laboratory Tad Sonstegard, and Curt Van Tassell Bovine Functional.

2007 Paul VanRaden, George Wiggans, Jeff O’Connell, John Cole, Animal Improvement Programs Laboratory Tad Sonstegard, and Curt Van Tassell Bovine Functional.
2007 Paul VanRaden, Mel Tooker, Jan Wright, Chuanyu Sun, and Jana Hutchison Animal Improvement Programs Lab, Beltsville, MD National Association of Animal.

2007 Paul VanRaden, Mel Tooker, Jan Wright, Chuanyu Sun, and Jana Hutchison Animal Improvement Programs Lab, Beltsville, MD National Association of Animal.
2007 Paul VanRaden Animal Improvement Programs Lab, USDA, Beltsville, MD, USA 2009 Mixing Different SNP Densities Mixing Different.

2007 Paul VanRaden Animal Improvement Programs Lab, USDA, Beltsville, MD, USA 2009 Mixing Different SNP Densities Mixing Different.
Paul VanRaden USDA Animal Improvement Programs Laboratory Beltsville, MD, USA 2004 Choice of Scales for Delivery of Genetic Evaluations.

Paul VanRaden USDA Animal Improvement Programs Laboratory Beltsville, MD, USA 2004 Choice of Scales for Delivery of Genetic Evaluations.
2007 Paul VanRaden, George Wiggans, Jeff O’Connell, John Cole, Animal Improvement Programs Laboratory Tad Sonstegard, and Curt Van Tassell Bovine Functional.

2007 Paul VanRaden, George Wiggans, Jeff O’Connell, John Cole, Animal Improvement Programs Laboratory Tad Sonstegard, and Curt Van Tassell Bovine Functional.
Cooper, 2014CDCB Meeting Aug. 5(1) T.A. Cooper, G.R. Wiggans and P.M. VanRaden Animal Genomics and Improvement Laboratory, Agricultural Research Service,

Cooper, 2014CDCB Meeting Aug. 5(1) T.A. Cooper, G.R. Wiggans and P.M. VanRaden Animal Genomics and Improvement Laboratory, Agricultural Research Service,
Paul VanRaden Animal Improvement Programs Laboratory Beltsville, MD, USA 2004 Genetic Base and Trait Definition Update.

Paul VanRaden Animal Improvement Programs Laboratory Beltsville, MD, USA 2004 Genetic Base and Trait Definition Update.
2007 Paul VanRaden Animal Improvement Programs Lab, USDA, Beltsville, MD, USA 2009 Future Animal Improvement Programs Applied.

2007 Paul VanRaden Animal Improvement Programs Lab, USDA, Beltsville, MD, USA 2009 Future Animal Improvement Programs Applied.

Similar presentations

Ads by Google