Presentation is loading. Please wait.

Presentation is loading. Please wait.

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

Published byClifton Stokes Modified over 8 years ago

Similar presentations

Presentation on theme: "2007 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA 2007 Genetic evaluation."— Presentation transcript:

1 2007 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA paul@aipl.arsusda.gov 2007 Genetic evaluation using combined data from all breeds and crossbred cows

2 Petersen Symposium 2007 (2) P.M. VanRaden 2007 USDA Yearbook of Agriculture 1947 Jersey  Holstein Cow # Pounds of Milk % Butterfat Pounds of Butterfat X-1 9,7844.85475 X-313,0654.71615 X-1713,8373.85533 From USDA research herd at Beltsville, MD

3 Petersen Symposium 2007 (3) P.M. VanRaden 2007 Crossbreds averaged 12,904 pounds of milk and 588 pounds of butterfat, outperforming dams by more than sire proof predictions (Fohrman,1947). Advanced register Holsteins averaged 13,833 pounds of milk and 493 pounds of fat in 1945. USDA Yearbook of Agriculture 1947 Red Dane  Jersey

4 Petersen Symposium 2007 (4) P.M. VanRaden 2007 Goals  Evaluate crossbred animals without biasing purebred evaluations  Accurately estimate breed differences  Compare crossbreeding strategies  Compute national evaluations and examine changes  Display results without confusion

5 Petersen Symposium 2007 (5) P.M. VanRaden 2007 All-Breed Analyses  Crossbred animals Will have PTAs, only 3% did before if in breed association grading-up programs Reliable PTAs from both parents  Purebred animals Information from crossbred relatives More herdmates (other breeds, crossbreds)  Routinely used in other populations New Zealand (1994), Netherlands (1997) USA goats (1989), calving ease (2005)

6 Petersen Symposium 2007 (6) P.M. VanRaden 2007 Methods  All-breed animal model Purebreds and crossbreds together Relationship matrix among all Unknown parents grouped by breed Variance adjustments by breed Age adjust to 36 months, not mature  Within-breed-of-sire model examined but not used

7 Petersen Symposium 2007 (7) P.M. VanRaden 2007 Data  Numbers of cows of all breeds 22.6 million for milk and fat 16.1 million for protein 22.5 million for productive life 19.9 million for daughter pregnancy rate 10.5 million for somatic cell score  Type traits are still collected and evaluated in separate breed files

8 Petersen Symposium 2007 (8) P.M. VanRaden 2007 Purebred and Crossbred Data USA milk yield records Breed% of totalCows born 2003 Holstein90.5642,354 Jersey6.445,151 Brown Swiss.85,960 Guernsey.42,563 Ayrshire.31,926 F1 Crossbred1.28,647

9 Petersen Symposium 2007 (9) P.M. VanRaden 2007 Crossbred Cows with 1 st parity records Fresh year F1 (%) F1 cows Back- cross Het > 0 XX cows 20061.4101533422153656099 20051.286472495126214465 20041.178631983111913947 2003.96248149290513111 2002.74689146773382564

10 Petersen Symposium 2007 (10) P.M. VanRaden 2007 Number of Cows with Records Number of Cows with Records (with > 50% heterosis; March 2007) DamSire Breed BreedAYBSGUJEMSXXHO AY —29 22148431796 BS 20—5029442132619 GU 4696—28832163256 JE 181357155—116563718 MS 281521071—5965 XX 48915443083568323—8859 HO 1843139931721351931858675—

11 Petersen Symposium 2007 (11) P.M. VanRaden 2007 Number of Cows with Records Number of Cows with Records (with > 50% heterosis; March 2007) Sire Breed Dam Breed# Sire Breed Dam Breed# BS SM25 HO DL47 DL HO109 HO LD195 MO HO73 HO MI60 NO HO38 HO NR21 NR HO23 HO RE22 SR HO118 HO SM16

12 Petersen Symposium 2007 (12) P.M. VanRaden 2007 Crossbred Daughters Added for sires in top 10 NM$ within breed Sire breed Daughters Sire NameFeb ‘07Added LegacyAY15733 AgendaBS3521 ExciteBS14457 Q ImpulsJE24120 StetsonMS3631

13 Petersen Symposium 2007 (13) P.M. VanRaden 2007 Heterosis for Yield Traits Heterosis for Yield Traits Percent of Parent Breed Average MilkFatProtein Breed HO Sire HO Dam HO Sire HO Dam HO Sire HO Dam Ayrshire 2.4-2.02.7-1.82.9-2.4 Brown Swiss 5.6 3.24.8 4.54.7 3.8 Guernsey 5.2 2.47.1 4.45.5 4.0 Jersey 7.5 1.66.6 4.57.2 4.1 M. Shorthrn 2.8 0.33.2 1.33.6 1.2 Heterosis3.44.44.1

14 Petersen Symposium 2007 (14) P.M. VanRaden 2007 Breed Effects and Heterosis  Three estimates of breed differences: From phenotypic breed differences From herds containing crossbred cows From all-breed model using all data All three estimates were similar  Estimates of general heterosis from 2001 and 2003 studies were used in the current research and not re-estimated

15 Petersen Symposium 2007 (15) P.M. VanRaden 2007 Unknown Parent Groups  Look up PTAs of known parents  Estimate averages for unknowns  Group unknown parents by Birth year Breed Path (dams of cows, sires of cows, parents of bulls) Origin (domestic vs other countries)

16 Petersen Symposium 2007 (16) P.M. VanRaden 2007 All- vs Within-Breed Evaluations Correlations of PTA Milk Breed 99% REL bulls Recent bulls Recent cows Holstein >.999.994.989 Jersey.997.988.972 Brown Swiss.990.960.942 Guernsey.991.988.969 Ayrshire.990.963.943 Milking Shorthorn.997.986.947

17 Petersen Symposium 2007 (17) P.M. VanRaden 2007 Display of PTAs  Genetic base Convert all-breed base to within-breed bases (or vice versa) PTA brd = (PTA all – mean brd ) SD brd /SD HO PTA all = PTA brd (SD HO /SD brd ) + mean brd  Heterosis and inbreeding Both effects removed in the animal model Heterosis added to crossbred animal PTA Expected Future Inbreeding (EFI) and merit differ with mate breed

18 Petersen Symposium 2007 (18) P.M. VanRaden 2007 Milk (kg) Genetic trend on all-breed base

19 Petersen Symposium 2007 (19) P.M. VanRaden 2007 Fat (kg) Genetic trend on all-breed base

20 Petersen Symposium 2007 (20) P.M. VanRaden 2007 Protein (kg) Genetic trend on all-breed base

21 Petersen Symposium 2007 (21) P.M. VanRaden 2007 Somatic Cell Score Genetic trend on all-breed base

22 Petersen Symposium 2007 (22) P.M. VanRaden 2007 Productive Life Genetic trend on all-breed base

23 Petersen Symposium 2007 (23) P.M. VanRaden 2007 Daughter Pregnancy Rate Genetic trend on all-breed base

24 Petersen Symposium 2007 (24) P.M. VanRaden 2007 EBV differences from Holstein estimated from an all-breed model Difference from Holstein (pounds) MilkFatProtein AY-5269-134-130 BS-4213-79-71 GU-6120-82-137 JE-6530-75-104 MS-7121-245-198

25 Petersen Symposium 2007 (25) P.M. VanRaden 2007 Phenotypic breed differences from Holstein from an all-breed model Difference from Holstein (pounds) MilkFatProtein AY-6587-207-176 BS-4555-97-82 GU-7286-143-179 JE-6956-99-119 MS-8419-320-240 HO23104842694

26 Petersen Symposium 2007 (26) P.M. VanRaden 2007 EBV differences from Holstein estimated from an all-breed model Difference from Holstein SCSPL (mo)DPR (%) AY-0.160.32.4 BS-0.100.81.1 GU0.07-8.50.8 JE0.193.25.5 MS-0.07-2.24.5

27 Petersen Symposium 2007 (27) P.M. VanRaden 2007 Phenotypic breed differences from Holstein from an all-breed model Difference from Holstein SCSPL (mo) DPR AY-0.113.30.8 BS-0.151.9-0.6 GU0.29-1.3-1.1 JE0.264.95.0 MS0.121.53.3 HO3.0728.125.5

28 Petersen Symposium 2007 (28) P.M. VanRaden 2007 Net Merit Relative Emphasis In cooperation with Dr. Tony Seykora et al. Trait20032006Trait20032006 Protein3323Udder76 Fat2223F&L43 Milk00Size34 PL1117DPR79 SCS99CA$46 DPR = daughter pregnancy rate (fertility), CA$ is index of calving ease and stillbirth

29 Petersen Symposium 2007 (29) P.M. VanRaden 2007 NM$, FM$, CM$ Economic Values NM$FM$CM$ Milk0.000.11−0.07 Fat2.70 Protein3.550.00 5.73 Other values are same in each index: PL 29, SCS -150, Size -14, Udder 28, F&L 13, DPR 21, CA$ 1

30 Petersen Symposium 2007 (30) P.M. VanRaden 2007 Other Trait Estimates  Calving ease and stillbirth estimated from breed means 7.3 million HO, 37000 JE, 17000 BS, 2000 GU, 2000 AY, 300 MS  Body size composite estimated from mature weight  Udder composite, Feet / Leg composite extrapolated from regressions on other traits within Holsteins Size, PL, milk, DPR, SCS

31 Petersen Symposium 2007 (31) P.M. VanRaden 2007 Correlations used in Predictions Corr withSizePLSCSDPRMilk Udder.26.30−.33.03−.20 F&L.22.19−.02−.04−.02 Canada now scores linear conformation traits of all breeds on the same scale

32 Petersen Symposium 2007 (32) P.M. VanRaden 2007 Assumed Effects – Other Traits Transmitting ability differences from Holstein SizeUdderF&L Calving Difficulty Still- birth Jersey −10.4−1.4−2.1−7.1−1.5 B. Swiss 0.00.70.3−3.2−0.7 Guernsey −7.3−0.5−1.3−4.61.1 Ayrshire −5.8−1.6−0.9−3.5−1.2 M. Short. −4.20.1−0.6−0.1−2.4 Heterosis 0.90.0

33 Petersen Symposium 2007 (33) P.M. VanRaden 2007 Merit of F 1 Holstein Crossbreds Second Breed NM$CM$FM$ Ayrshire −304 −261−364 Brown Swiss 55 139−78 Guernsey −408−405−503 Jersey 31153−158 M. Shorthorn −498−461−547 Compared to 2005 genetic base for Holstein

34 Petersen Symposium 2007 (34) P.M. VanRaden 2007 Later Generation Crosses Holstein backcross or multi-breed NM$CM$ FM$ HO x (BS x HO) +28+70−39 HO x (JE x HO) +16+77−79 BS x (JE x HO) −32+109−251 JE x (BS x HO) −44+116−292 HO x (BS x JE) +44+147−118 Compared to 2005 genetic base for Holstein

35 Petersen Symposium 2007 (35) P.M. VanRaden 2007 Butterfat yield of three breed crosses was greater than from their F 1 crossbred dams. Three breed crosses averaged 14,927 pounds of milk and 641 pounds of butterfat as 2-year-olds in 1947. USDA Yearbook of Agriculture 1947 Three-Breed Crosses

36 Petersen Symposium 2007 (36) P.M. VanRaden 2007 Scandinavian and French Breeds  AIPL has pedigree records for other breeds (NR, SR, MO); but few production records yet  For further information: Interbull conversions to Ayrshire base U. Minnesota scientists (Heins et al.)

37 Petersen Symposium 2007 (37) P.M. VanRaden 2007 Conclusions

38 Petersen Symposium 2007 (38) P.M. VanRaden 2007 Conclusions (1)  All-breed model accounts for: Breed effects and general heterosis Unequal variances within breed  May 2007 implementation expected PTA converted back to within-breed bases, crossbreds to breed of sire PTA changes larger in breeds with fewer animals

39 Petersen Symposium 2007 (39) P.M. VanRaden 2007 Conclusions (2)  Breed effects were estimated Yield, PL, SCS, DPR by all-breed model Calving ease and stillbirth breed means Udder, F&L composites from other traits  Lifetime Net Merit formula for August 2006 applied  Holsteins still superior for FM$

40 Petersen Symposium 2007 (40) P.M. VanRaden 2007 Conclusions (3)  BS x HO and JE x HO crosses had higher NM$ and CM$ than HO  BS x JE had higher CM$ than HO  Three-breed crosses (HO, BS, JE) are higher than HO backcrosses for CM$, similar for NM$  Use best bulls within each breed

41 Petersen Symposium 2007 (41) P.M. VanRaden 2007 Acknowledgments  Several others at AIPL contributed greatly to this project, including Mel Tooker, George Wiggans, John Cole, Jay Megonigal, and Ashley Sanders

Download ppt "2007 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA 2007 Genetic evaluation."

Similar presentations

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

2002 Paul M. VanRaden and Ashley H. Sanders Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD 2008 Genetic trends.

George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD 2008 Genetic trends.
But who will be the next GREAT one?. USA Bull Proofs * Bulls are ranked based upon their DAUGHTER’S (progeny) production and physical characteristics.

But who will be the next GREAT one?. USA Bull Proofs * Bulls are ranked based upon their DAUGHTER’S (progeny) production and physical characteristics.
December 2014 Proof Changes

December 2014 Proof Changes
Norway (1) 2005 Status of Dairy Cattle Breeding in the United States Dr. H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service,

Norway (1) 2005 Status of Dairy Cattle Breeding in the United States Dr. H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service,
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.
2003 G.R. Wiggans,* P.M. VanRaden, and J.L. Edwards Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD

2003 G.R. Wiggans,* P.M. VanRaden, and J.L. Edwards Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
Breed Composition Codes for Crossbred Dairy Cattle in the United States John B. Cole,* Melvin E. Tooker, Paul M. VanRaden, and Joel H. Megonigal, Jr. Animal.

Breed Composition Codes for Crossbred Dairy Cattle in the United States John B. Cole,* Melvin E. Tooker, Paul M. VanRaden, and Joel H. Megonigal, Jr. 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, Mel Tooker, Jan Wright, Chuanyu Sun, and Jana Hutchison Animal Improvement Programs Lab, Beltsville, MD National Association of Animal.
2004 2006 John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Dairy Cattle Breeding.

John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Dairy Cattle Breeding.
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.
H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Missouri Dairy Summit.

H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Missouri Dairy Summit.
2007 Paul VanRaden, Mel Tooker, and Melvin Kuhn Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA

2007 Paul VanRaden, Mel Tooker, and Melvin Kuhn Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA
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.
John B. Cole, Ph.D. Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD, USA The U.S. genetic.

John B. Cole, Ph.D. Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD, USA The U.S. genetic.
2007 J.B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Overview.

2007 J.B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Overview.
2006 Paul VanRaden, John Cole, and George Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD

2006 Paul VanRaden, John Cole, and George Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
2005 Paul VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD An Example from Dairy.

2005 Paul VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD An Example from Dairy.
2005 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA Selection for.

2005 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA Selection for.

Similar presentations

Ads by Google