2006 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD USDA Genetic.

Slides:



Advertisements
Similar presentations
2006 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD USDA Genetic.
Advertisements

Factors affecting milk ELISA scores of cows tested for Johne’s disease H. D. Norman 1, J. R. Wright 1 *, and T. M. Byrem 2 1 Animal Improvement Programs.
Importance of Genetic Evaluation for Structure in the US Dairy Industry October 10, 2012 Sam Comstock, Ph.D.
2003 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD USDA Dairy Goat.
2006 J.B. Cole,* G.R. Wiggans, and P.M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Select Sires’
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD 2009 G.R. WiggansCroatian.
2005 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD AIPL Projects.
But who will be the next GREAT one?. USA Bull Proofs * Bulls are ranked based upon their DAUGHTER’S (progeny) production and physical characteristics.
2002 Curt Van Tassell Gene Evaluation and Mapping Laboratory and Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville,
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,*
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.
G. R. Wiggans, Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD M. A. Faust ABS Global,
George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD National Association.
Dairy Industry: Selection OBJECTIVES By: Mr. Weaver Identify specific traits associated with making a decision regarding dairy cattle selection. Evaluate.
G. R. Wiggans*, L. L. M. Thornton*,1, R. R. Neitzel †, and N. Gengler ‡ * Animal Improvement Programs Laboratory, ARS, USDA, Beltsville, MD †
 PTA mobility was highly correlated with udder composite.  PTA mobility showed a moderate, positive correlation with production, productive life, and.
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,
2003 G.R. Wiggans,* P.M. VanRaden, and J.L. Edwards Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
AFGC Convention 2004 (1) 2004 Possibilities for Improving Dairy Cattle Performance Dr. H. Duane Norman Animal Improvement Programs Laboratory Agricultural.
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.
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD 2009 G.R. WiggansInner.
2002 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD USDA Dairy Goat.
John B. Cole, Ph.D. Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD, USA The U.S. genetic.
2006 Paul VanRaden, John Cole, and George Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
Genetic correlations between first and later parity calving ease in a sire-maternal grandsire model G. R. Wiggans*, C. P. Van Tassell, J. B. Cole, and.
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.
Genetic Evaluation of Lactation Persistency Estimated by Best Prediction for Ayrshire, Brown Swiss, Guernsey, and Milking Shorthorn Dairy Cattle J. B.
2002 Paul VanRaden, Ashley Sanders, Melvin Tooker, Bob Miller, and Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA,
Adjustment of selection index coefficients and polygenic variance to improve regressions and reliability of genomic evaluations P. M. VanRaden, J. R. Wright*,
2007 Melvin Tooker Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD, USA
Synchronization Effects on Parameters for Days Open M. T. Kuhn, J. L. Hutchison, and R. H. Miller* Animal Improvement Programs Laboratory, Agricultural.
2003 Melvin Tooker, Paul VanRaden, Ashley Sanders, and George Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville,
Nuts and Bolts of Genetic Improvement Genetic Model Predicting Genetic Levels Increase Commercial Profitability Lauren Hyde Jackie Atkins Wade Shafer Fall.
G.R. Wiggans* and P.M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD
2003 P.M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Genetic Evaluations.
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.
J. B. Cole *, G. R. Wiggans, P. M. VanRaden, and R. H. Miller Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville,
2007 Paul VanRaden Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD, USA
Adjustment of breeding values for past and future inbreeding Paul VanRaden*, Lori Smith Animal Improvement Programs Laboratory Agricultural Research Service,
WiggansARS Big Data Computing Workshop (1) 2013 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 Select Sires’
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.
Dairy Cattle Selection. Dairy Cattle Selection Overview Dairy Terms and Definitions Parts of a Dairy Cow Dairy Traits and Selection.
2005 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Reproduction.
H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD NDHIA 2009 meeting.
2003 Paul VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Genetic Evaluation.
Paul VanRaden Animal Improvement Programs Laboratory Beltsville, MD, USA 2004 NAAB Update : Base Change, Udder Health, Longevity,
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.
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.
2002 George R. Wiggans and Curt P. Van Tassell Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
2003 P.M. VanRaden* and M.E. Tooker Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Definition.
H.D. Norman* J.R. Wright, P.M. VanRaden, and M.T. Kuhn Animal Improvement Programs Laboratory Agricultural.
Interbull meeting (1) Paul M. VanRaden and Rex L. Powell Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville,
2007 John Cole, Paul VanRaden, George Wiggans, and Melvin Kuhn Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD,
2006 GEORGE R. WIGGANS Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, Maryland ,
Advanced Animal Breeding
C.P. Van Tassell 1, * G.R. Wiggans 1, J.C. Philpot 1, and I. Misztal Animal Improvement Programs Laboratory Agricultural Research Service, USDA,
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD Select Sires‘ Holstein.
2007 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA 2007 Genetic evaluation.
G.R. Wiggans, T. A. Cooper* and P.M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD
CRI – Spanish update (1) 2010 Status of Dairy Cattle Breeding in the United States Dr. H. Duane Norman Animal Improvement Programs Laboratory Agricultural.
2001 ASAS/ADSA 2001 Conference (1) Simultaneous accounting for heterogeneity of (co)variance components in genetic evaluation of type traits N. Gengler.
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD G.R. WiggansCouncil.
2005 P.M. VanRaden and M.E. Tooker* Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Effect.
USDA Dairy Goat Genetic Evaluation Program
How to understand and use dairy goat performance data
Presentation transcript:

2006 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD USDA Genetic Evaluations for Type Traits

ADGA 2006 (2) G.R. Wiggans 2006 Type Traits  Describe physical characteristics of animal  Final Score (overall assessment)  Scored  Linear traits (13 traits)  Scored 1-50

ADGA 2006 (3) G.R. Wiggans 2006 History of Type Evaluations  1986 – Sire model for final score  1988 – Collection of linear traits  1989 – Sire model for linear traits  1995 – Multi-trait animal model  2000 – Base change  2005 – Base change

ADGA 2006 (4) G.R. Wiggans 2006 Numbers of Appraisals of Does Alpine8881, ,3681,0611,2541,185 Nubian1,0991, ,3451,1611,1731,330 Toggenburg LaMancha Saanen Oberhasli Experimental Sable Total3,6924,4083,6124,9814,3944,593 5,238

ADGA 2006 (5) G.R. Wiggans 2006 Appraisals for Does in 2005 (n=4,593) TraitMeanSDMinMax Final score Stature Strength Dairyness Teat diameter Rear legs Rump angle Rump width Fore udder attachment Rear udder height Rear udder arch Udder depth Suspensory ligament Teat placement

ADGA 2006 (6) G.R. Wiggans 2006 Evaluation model  An equation that indicates what factors contribute to an observation  Separates the genetic component from other factors  Solutions used to predict the genetic potential of progeny

ADGA 2006 (7) G.R. Wiggans 2006 Type Evaluation Model MODEL:y = h + a + p + e y = Adjusted type record h = Herd appraisal date a = Animal genetic effect (breeding value) p = Permanent environment Non-genetic effect common to all a doe's appraisals e = Unexplained residual

ADGA 2006 (8) G.R. Wiggans 2006 Multi-trait Model  Scores from one trait affect the evaluation of other traits through the genetic correlations

ADGA 2006 (9) G.R. Wiggans 2006 Genetic Correlations Final ScoreStrengthDairyness Fore Udder Attachment Final Score Strength Dairyness F. Udder Att.1.00

ADGA 2006 (10) G.R. Wiggans 2006 Genetic Parameters  Heritability – Portion of variation due to genetics  Repeatability – Similarity of repeated records, includes genetic and permanent environmental effects

ADGA 2006 (11) G.R. Wiggans 2006 Heritability and Repeatability

ADGA 2006 (12) G.R. Wiggans 2006 Genetic Change per year from does born 1990 – 2003 TraitTrendR2R2 Rear legs Rear udder height Udder depth Fore udder attachment Rear udder arch Final score Dairyness Rump width Teat diameter Strength Suspensory ligament Teat placement Rump angle Stature

ADGA 2006 (13) G.R. Wiggans 2006 Breeding value trend for type

ADGA 2006 (14) G.R. Wiggans 2006 Herds for Bucks Born 1999 – 2003 (n=2,451)

ADGA 2006 (15) G.R. Wiggans 2006 Daughters for Bucks Born 1999 – 2003 (n=2,451)

ADGA 2006 (16) G.R. Wiggans 2006 Distribution of Reliability for Final Score

ADGA 2006 (17) G.R. Wiggans 2006 Methods of Expressing evaluations  Estimated breeding value (EBV)  Animal’s own genetic value  Predicted transmitting ability (PTA)  ½ EBV  Expected contribution to progeny

ADGA 2006 (18) G.R. Wiggans 2006 Combining type and production Production-Type index(PTI)  Combines yield and type evaluations into a single value  There are 2 versions:  PTI 2:1, weights 2 production : 1 type  PTI 1:2, weights 2 type : 1 production

ADGA 2006 (19) G.R. Wiggans 2006 AIPL web services #GoatsTBL  Queries provide display of:  Pedigree information  Yield records  Herd test characteristics  Genetic evaluations of does & bucks  Yield  Type  Access information using:  ID number  Animal name  Herd code

ADGA 2006 (20) G.R. Wiggans

ADGA 2006 (21) G.R. Wiggans

ADGA 2006 (22) G.R. Wiggans

ADGA 2006 (23) G.R. Wiggans

ADGA 2006 (24) G.R. Wiggans 2006 Summary  Type data contributes to genetic evaluations of Final Score and 13 linear traits  Multi-trait Animal Model combines information from all relatives and traits  Few bucks have many daughters in many herds so reliability is low  Production-type index combines evaluations  Substantial genetic progress is occurring in several traits