ASAS/ADSA 2001 Conference (1) 2001 Variance of effects of lactation stage within herd by herd yield N. Gengler 1,2, B. Auvray *,1, and G.R. Wiggans 3 1.

Slides:



Advertisements
Similar presentations
Nordisk Avlsværdivurdering Joint Nordic Test Day Model: Evaluation Model M. Lidauer 1, J. Pedersen 2, J. Pösö 3, E. A. Mäntysaari 1, I. Strandén.
Advertisements

2007 Paul VanRaden, Mel Tooker, and Nicolas Gengler Animal Improvement Programs Lab, Beltsville, MD, USA, and Gembloux Agricultural U., Belgium
Relationship of somatic cell score with fertility measures Poster 1390 ADSA 2001, Indiannapolis R. H. Miller 1, J. S. Clay 2, and H. D. Norman 1 1 Animal.
2002 Paul M. VanRaden and Ashley H. Sanders Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
John B. Cole* and Paul M. VanRaden Animal Genomics and Improvement 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.
2003 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD USDA Dairy Goat.
ADSA 2002 (HDN-P1) 2002 Comparison of occurrence and yields of daughters of progeny-test and proven bulls in artificial insemination and natural- service.
2012 ADSA-AMPA-ASAS-CSAS-WSASAS joint annual meeting (1)Norman Comparison of daughter performance of New Zealand and North American sires in US herds H.D.
Derivation of Factors to Estimate Daily Fat, Protein, and Somatic Cell Score from One Milking of Cows Milked Three Times Daily M. M. Schutz* 1 and H. D.
Extension of Bayesian procedures to integrate and to blend multiple external information into genetic evaluations J. Vandenplas 1,2, N. Gengler 1 1 University.
Effects of complex vertebral malformation gene on production and reproduction M. T. Kuhn*, J. L. Hutchison, and C. P. Van Tassell Animal Improvement Programs.
Principal Components Approach for Estimating Heritability of Mid-Infrared Spectrum in Bovine Milk H. Soyeurt 1,2,*, S. Tsuruta 3, I. Misztal 3 & N. Gengler.
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.
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.
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,
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.
REGRESSION MODEL y ijklm = BD i + b j A j + HYS k + b dstate D l + b sstate S l + b sd (S×SD m ) + b dherd F m + b sherd G m + e ijklm, y = ME milk yield,
2007 Paul VanRaden, Mel Tooker, Jan Wright, Chuanyu Sun, and Jana Hutchison Animal Improvement Programs Lab, Beltsville, MD National Association of Animal.
H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Missouri Dairy Summit.
2002 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD USDA Dairy Goat.
2008 ADSA-ASAS Joint Annual Meeting Indianapolis, July 7-11 Genetic Parameters of Saturated and Monounsaturated Fatty Acids Estimated by Test-Day Model.
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.
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.
Genetic interactions for heat stress and herd yield level: predicting foreign genetic merit from domestic data J. R. Wright*, P. M. VanRaden Animal Genomics.
Factors affecting heifer fertility in U.S. Holsteins M. T. Kuhn* and J. L. Hutchison Animal Improvement Programs Laboratory, Agricultural Research Service,
Paul VanRaden and Melvin Tooker* Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD 2006.
Interbull Meeting – Dublin 2007 Genetic Parameters of Butter Hardness Estimated by Test-Day Model Hélène Soyeurt 1,2, F. Dehareng 3, C. Bertozzi 4 & N.
John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Best prediction.
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
J. B. Cole 1,*, P. M. VanRaden 1, and C. M. B. Dematawewa 2 1 Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville,
XX International Grassland Conference 2005 (1) 2005 Genetic Alternatives for Dairy Producers who Practise Grazing H. D. Norman, J. R. Wright, R. L. Powell.
Dr. George R. Wiggans, Ph.D. Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD, USA
Factors affecting death rate of lactating cows in Dairy Herd Improvement herds R. H. Miller, H. Duane Norman, M. T. Kuhn* and J. R. Wright Animal Improvement.
Paul VanRaden and John Cole Animal Improvement Programs Laboratory Beltsville, MD, USA 2004 Planned Changes to Models and Trait Definitions.
H.D. Norman, J.R. Wright, and R.H. Miller Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD, USA
WiggansARS Big Data Computing Workshop (1) 2013 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville,
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 John B. Cole USDA Animal Improvement Programs Laboratory Beltsville, MD, USA 2008 Data Collection Ratings and Best Prediction.
H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD NDHIA 2009 meeting.
Minimum Dry Period Length to Maximize Performance M. T. Kuhn*, J. L. Hutchison, and H. D. Norman Animal Improvement Programs Laboratory, Agricultural Research.
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.
 Milk fat composition varies with the season (summer vs. winter) but also with the milking time (AM vs. PM).  These observations could allow the diversification.
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,
Ashley H. Sanders and H. Duane Norman Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD
Paul VanRaden 1, Mel Tooker 1, Mahinda Dematawewa 2, and Ron Pearson 2 1 Animal Improvement Programs Laboratory, USDA 2 Virginia Polytechnic.
2003 P.M. VanRaden* and M.E. Tooker Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Definition.
2006 Paul VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Predicting Genetic.
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.
Lactation Number Effects on the Genetic Variability of the Stearoyl Coenzyme-A Desaturase 9 Activity Estimated by Test-Day Model V. M.-R. Arnould 1, N.
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.
Walloon Agricultural Research Center Genetic Variability of Lactoferrin Content Predicted by MIR Spectrometry : MIR Spectrometry + Quantitative Models.
2005 P.M. VanRaden and M.E. Tooker* Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Effect.
2006 8th World Congress on Genetics Applied to Livestock Production (1) Trait Selection When Culling U.S. Holsteins H.D. Norman, J.L. Hutchison, J.R. Wright,
Correlations Among Measures of Dairy Cattle Fertility and Longevity
Abstr. M65 Test-day milk loss associated with elevated test-day somatic cell score R.H. Miller, H.D. Norman, G.R. Wiggans, and J.R. Wright Animal Improvement.
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.
Genetic Evaluation of Milking Speed for Brown Swiss Dairy Cattle
Presentation transcript:

ASAS/ADSA 2001 Conference (1) 2001 Variance of effects of lactation stage within herd by herd yield N. Gengler 1,2, B. Auvray *,1, and G.R. Wiggans 3 1 Gembloux Agricultural University, Belgium 2 National Fund for Scientific Research, Brussels, Belgium 3 Agricultural Research Service, USDA, Beltsville, MD

2001 ASAS/ADSA 2001 Conference (2) Heterogeneity of (co)variances  Important issue in test-day models  More important than in 305 d models: –not only overall variance –also (co)variances –among all days in milk  Important factor: stage x herd yield  Equivalent to –herd specific lactation curves

2001 ASAS/ADSA 2001 Conference (3) Data  Test-day yields from first-lactation Holsteins  Milk, fat, protein and SCS  From New York, Wisconsin, and California  Herds with different annual milk yields: –low (< 7257 kg) –medium (9072 to 9525 kg) –high (> 11,340 kg)  Adjusted additively for age and lactation stage

2001 ASAS/ADSA 2001 Conference (4) Test-day models  EM-REML (co)variance component estimation  Two random regression models  Constant, linear and quadratic Legendre’s polynomials  First model (“incomplete model”): –animal genetic regressions –animal permanent environment regressions  Second model (“complete model”): –herd x 2 years of calving random regressions added

2001 ASAS/ADSA 2001 Conference (5) Mean yields in data sets

2001 ASAS/ADSA 2001 Conference (6) Phenotypic variances for milk (x100 kg 2 ) days in milk

2001 ASAS/ADSA 2001 Conference (7) days in milk Heritabilities for milk yield  Incomplete model:  Complete model: days in milk

2001 ASAS/ADSA 2001 Conference (8) Herd stage effect for milk yield days in milk

2001 ASAS/ADSA 2001 Conference (9) Herd stage effect for fat yield days in milk

2001 ASAS/ADSA 2001 Conference (10) Herd stage effect for protein yield days in milk

2001 ASAS/ADSA 2001 Conference (11) Herd stage effect for SCS days in milk

2001 ASAS/ADSA 2001 Conference (12) Conclusions  Herd yield level influences (co)variances  Not only variance level, also effect of days in milk on variances  Environmental lactation stage within herd not negligible for milk, fat and protein especially: –at the beginning of the lactation –to a smaller extend at the end  Cleans heritabilities, no longer unlikely values of h2 in early days in milk

2001 ASAS/ADSA 2001 Conference (13) Implications for test-day models  Heterogeneity of (co)variances an issue  needs to be considered  Herd yield and herd lactation stage effects  need to be considered  If unlikely heritability shapes  herd lactation stage effects to be included