Project Plan np 101 Food Animal Production April–July 2012 Old ars research Project Number



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Illumina. 2011c. HGoldenGate Bovine3K Genotyping BeadChipH. Illumina, San Diego, CA.

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Macciotta, N.P.P., G. Gaspa, R. Steri, E.L. Nicolazzi, C. Dimauro, C. Pieramati, and A. Cappio-Borlino. 2010. Using eigen values as variance priors in the prediction of genomic breeding values by principal component analysis. HJ. Dairy Sci. 93:2765–2774H.



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Magee, D.A., D.P. Berry, E.W. Berkowicz, K.M. Sikora, D.J. Howard, M.P. Mullen, R.D. Evans, C. Spillane, and D.E. MacHugh. 2010. Single nucleotide polymorphisms within the bovine DLK1-DIO3 imprinted domain are associated with economically important production traits in cattle. HJ. Hered. 102:94–101H.

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Mäntysaari, E.A., and I. Strandén I. 2010. Use of bivariate EBV-DGV model to combine genomic and conventional breeding value evaluations. HProc. 9th World Congr. Genet. Appl. Livest. Prod., Comm. 0353H.

Meuwissen, T., and M. Goddard. 2010. Accurate prediction of genetic values for complex traits by whole-genome resequencing. HGenetics 185:623–631H.

Miglior, F., B.L. Muir, and B.J. Van Doormaal. 2005. Selection indices in Holstein cattle of various countries. HJ. Dairy Sci. 88:1255–1263H.

Miller, R.H., H.D. Norman, M.T. Kuhn, J.S. Clay, and J.L. Hutchison. 2007. Voluntary waiting period and adoption of synchronized breeding in Dairy Herd Improvement herds. HJ. Dairy Sci. 90:1594–1606H.

Norman, H.D., J.L. Hutchison, and R.H. Miller. 2010. Use of sexed semen and its effect on conception rate, calf sex, dystocia, and stillbirth of Holsteins in the United States. HJ. Dairy Sci. 93:3880–3890H.

Norman, H.D., J.L. Hutchison, and P.M. VanRaden. 2011. Evaluations for service-sire conception rate for heifer and cows inseminations with conventional and sexed semen. HJ. Dairy Sci. 94:6135–6142H.

Norman, H.D., J.R. Wright, M.T. Kuhn, S.M. Hubbard, J.B. Cole, and P.M. VanRaden. 2009. Genetic and environmental factors that affect gestation length in dairy cattle. J. Dairy Sci. 92:2259–2269.

Norman, H.D., J.R. Wright, and R.L. Powell. 2006. Is there a need for different genetics in dairy grazing systems? HProc. 6th Mid-Atlantic Dairy Grazing Conf., Goldsboro, NC, Oct. 31–Nov. 1, 5 ppH.

Olson, K.M., J.L. Hutchison, P.M. VanRaden, and H.D. Norman. 2011a. Changes in the use of young bulls. HJ. Dairy Sci. 94(E-Suppl. 1):27(Abstr. M67)H.

Olson, K.M., P.M. VanRaden, and D.J. Null. 2011b. Impacts of inclusion of foreign data in genomic evaluation of dairy cattle. HJ. Dairy Sci. 94(E-Suppl. 1):164–165(Abstr. 35)H.

Olson, K.M., P.M. VanRaden, and M.E. Tooker. 2012. Multibreed genomic evaluations using purebred Holsteins, Jerseys, and Brown Swiss. J. Dairy Sci. 95:(in press).

Parker Gaddis, K.L, J. B. Cole, J.S. Clay, and C. Maltecca. 2012. Incidence validation and causal relationship analysis of producer-recorded health event data from on-farm computer systems in the U.S. J. Dairy Sci. (accepted).

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Pedersen, L.D., A.C. Sørenson, and P. Berg. 2010. Marker-assisted selection reduces expected inbreeding but can result in large effects of hitchhiking. J. Anim. Breed. Genet. 127:189–198.

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Reyher, K.K., S. Dufour, H.W. Barkema, L. Des Côteaux, T.J. DeVries, I.R. Dohoo, G.P. Keefe, J.-P. Roy, and D.T. Scholl. 2011. The National Cohort of Dairy Farms—A data collection platform for mastitis research in Canada. HJ. Dairy Sci. 94:1616–1626H.

Rincon, G., K.L. Weber, A.L. Van Eenennaam, B.L. Golden, and J.F. Medrano. 2011. Hot topic: Performance of bovine high-density genotyping platforms in Holsteins and Jerseys. HJ. Dairy Sci. 94:6116–6121H.

Sargolzaei, M., J.P. Chesnais, and F.S. Schenkel. 2011. FImpute – An efficient imputation algorithm for dairy cattle populations. HJ. Dairy Sci. 94(E-Suppl. 1):421(Abstr. 333)H.

Schaeffer, L.R., J. Jamrozik, G.J. Kistemaker, and B.J. Van Doormaal. 2000. Experience with a test-day model. J. Dairy Sci. 83: 1135–1144.

Schaeffer, L.R. 2006. Strategy for applying genome-wide selection in dairy cattle. HJ. Anim. Breed. Genet. 123:218–223H.

Schierenbeck, S., E.C.G. Pimentel, M. Tietze, J. Körte, R. Reents, F. Reinhardt, H. Simianer, S. König. 2011. Controlling inbreeding and maximizing genetic gain using semi-definite programming with pedigree-based and genomic relationships. J. Dairy Sci. 94: 6143–6152.

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Shook, G.E. 2006. Major advances in determining appropriate selection goals. J. Dairy Sci. 89:1349–1361.

Solberg, T.R., B. Heringstad, M. Svendsen, H. Grove, and T.H.E. Meuwissen. 2011. Genomic predictions for production- and functional traits in Norwegian Red from BLUP analyses of imputed 54K and 777K SNP data. HInterbull Bull. 44:240–243H.

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Tsuruta, S., I. Misztal, I. Aguilar, and T.J. Lawlor. 2011. Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins. HJ. Dairy Sci. 94:4198–4204H.

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VanRaden, P.M. 2004. Invited review: Selection on net merit to improve lifetime profit.H J. Dairy Sci. 87:3125–3131H.

VanRaden, P.M. 2005. Inbreeding adjustments and effect on genetic trend estimates. HInterbull Bull. 33:81–84H.

VanRaden, P.M. 2006a. Fertility trait economics and correlations with other traits. HInterbull Bull. 34:53–56H.

VanRaden, P.M. 2006b. Predicting genetic interactions within and across breeds. HProc. 8th World Congr. Genet. Appl. Livest. Prod., Comm. 01-39H.

VanRaden, P.M., and R.H. Miller. 2008. The USDA Animal Improvement Programs Laboratory: A century old and just getting started. HAIPL Res. Rep. HIST1 (10-08)H.

VanRaden, P.M., D.J. Null, G.R. Wiggans, T.S. Sonstegard, and E.E. Connor. 2011a. Genomic imputation and evaluation using 342 high-density Holstein genotypes. HJ. Dairy Sci. 94(E-Suppl. 1):533(Abstr. W53)H.

VanRaden, P.M., J.R. O’Connell, G.R. Wiggans, and K.A. Weigel. 2011b. Genomic evaluations with many more genotypes. HGenet. Sel. Evol. 43:10H.

VanRaden, P.M., K.M. Olson, D.J. Null, and J.L. Hutchison. 2011c. Harmful recessive effects on fertility detected by absence of homozygous haplotypes. HJ. Dairy Sci. 94:6153–6161H.

VanRaden, P.M., M.E. Tooker, J.B. Cole, G.R. Wiggans, and J.H. Megonigal Jr. 2007. Genetic evaluations for mixed-breed populations. HJ. Dairy Sci. 90:2434–2441H.

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Weigel, K.A., C.P. Van Tassell, J.R. O’Connell, P.M. VanRaden, and G.R. Wiggans. 2010. Prediction of unobserved single nucleotide polymorphism genotypes of Jersey cattle using reference panels and population-based imputation algorithms. HJ. Dairy Sci. 93:2229–2238H.

Wiggans, G.R, T.A. Cooper, P.M. VanRaden, K.M. Olson, and M.E. Tooker. 2012. Use of the Illumina Bovine3K BeadChip in dairy genomic evaluation. HJ. Dairy Sci. 95:1552–1558.

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Wiggans, G.R., P.M. VanRaden, and T.A. Cooper. 2011. The genomic evaluation system in the United States: Past, present future.H J. Dairy Sci. 94:3202–3211H.



Zwald, N.R., K.A. Weigel, W.F. Fikse, and R. Rekaya. 2003. Identification of factors that cause genotype by environment interaction between herds of Holstein cattle in seventeen countries. J. Dairy Sci. 86:1009–1018.

Past Accomplishments of Investigators


Paul M. VanRaden, Lead Scientist
Education:

1981 University of Illinois, B.S., dairy science

1984 Iowa State University, M.S., animal breeding

1986 Iowa State University, Ph.D., animal breeding


Experience:

1982–86 Graduate Research Assistant, Iowa State University, Ames, IA

1986 Postdoctoral Research Associate, Iowa State University, Ames, IA

1987–88 Postdoctoral Research Associate, University of Wisconsin, Madison, WI

1988–present Research Geneticist (Animal), USDA, ARS, Beltsville, MD
Accomplishments (past 10 years):

Dr. VanRaden has improved several important areas of animal breeding such as avoidance of inbreeding, selection for more traits, computation of genomic evaluations, and discovery of lethal recessive genes. His methods were made directly available to U.S. dairy producers, and computer programs for routine use have made those advances available to other scientists and producers worldwide. Using methods and programs introduced by Dr. VanRaden in 2005, U.S. genetic evaluations are the only evaluations in the world that adjust for expected inbreeding. He compared crossbred and purebred dairy cattle for economic merit and developed the multibreed evaluation system implemented in 2007. He introduced national rankings for daughter pregnancy rate in 2003, cooperated with Dr. John Cole to introduce stillbirth rate in 2006, and cooperated with Dr. Melvin Kuhn to introduce heifer conception and cow conception rates in 2009. Dr. VanRaden led a team of scientists to revise the lifetime net merit index, which combines genetic merit for available U.S. traits according to economic values into an overall merit for each animal, in 2003 and 2006 and assisted Dr. Cole in a 2009 revision. Official genomic evaluations were implemented for U.S. dairy cattle in January 2009, the first such system in the world, using Dr. VanRaden’s methods and programs. Several other countries quickly adopted those same methods or programs, and the Interbull Centre (Uppsala, Sweden) uses them for the global genomic evaluation of the Brown Swiss breed. Genotypes from a 3,000-marker panel were imputed to 50,000-marker density using methods developed by Dr. VanRaden, and routine genetic predictions from those imputed genotypes were introduced in 2010. His imputation methods also proved to be very efficient for predicting higher density genotypes in large populations. Dr. VanRaden’s methods to split genotypes into haplotypes led to the discovery of five new lethal recessive defects that were reported to breeders in August 2011. Since 2002, Dr. VanRaden has (co)authored 42 scientific journal research papers (senior or sole author of 12) and 57 research abstracts. He has made 11 scientific presentations (including 1 invited paper) at annual meetings of the American Dairy Science Association (ADSA) and formal research presentations in 14 countries. He has (co)authored 1 book chapter and 31 articles in international proceedings. He has (co)authored 25 articles in USDA and popular trade publications and has made over 70 presentations at international, national, State, district, and university meetings. Dr. VanRaden’s accomplishments have resulted in several national awards, including the National Association of Animal Breeders’ Research Award in 2002 and ADSA’s Most Cited Award in 2011 and 2012.



Publications:

VanRaden, P.M., and G.R. Wiggans. 1991. Derivation, calculation, and use of national animal model information. HJ. Dairy Sci. 74:2737–2746H.

VanRaden, P.M. 1992. Accounting for inbreeding and crossbreeding in genetic evaluation of large populations. HJ. Dairy Sci. 75:3136–3144H.

VanRaden, P.M. 1997. Lactation yields and accuracies computed from test day yields and (co)variances by best prediction. HJ. Dairy Sci. 80:3015–3022H.

VanRaden, P.M., and L.A. Smith. 1999. Selection and mating considering expected inbreeding of future progeny. HJ. Dairy Sci. 82:2771–2778H.

VanRaden, P.M. 2001. Methods to combine estimated breeding values obtained from separate sources. HJ. Dairy Sci. 84:E47–E55H.

Powell, R.L., and P.M. VanRaden. 2002. International dairy bull evaluations expressed on national, subglobal, and global scales. HJ. Dairy Sci. 85:1863–1868H.



VanRaden, P.M., and A.H. Sanders. 2003. Economic merit of crossbred and purebred US dairy cattle. HJ. Dairy Sci. 86:1036–1044H.

VanRaden, P.M., A.H. Sanders, M.E. Tooker, R.H. Miller, H.D. Norman, M.T. Kuhn, and G.R. Wiggans. 2004. Development of a national genetic evaluation for cow fertility. HJ. Dairy Sci. 87:2285–2292H.

VanRaden, P.M. 2004. Invited review: Selection on net merit to improve lifetime profit. HJ. Dairy Sci. 87:3125–3131H.

VanRaden, P.M., and R.H. Miller. 2006. Effects of nonadditive genetic interactions, inbreeding, and recessive defects on embryo and fetal loss by seventy days. HJ. Dairy Sci. 89:2716–2721H.

VanRaden, P.M., C.M.B. Dematawewa, R.E. Pearson, and M.E. Tooker. 2006. Productive life including all lactations and longer lactations with diminishing credits. HJ. Dairy Sci. 89:3213–3220H.

VanRaden, P.M., M.E. Tooker, J.B. Cole, G.R. Wiggans, and J. H. Megonigal, Jr. 2007. Genetic evaluations for mixed-breed populations. HJ. Dairy Sci. 90:2434–2441H.

VanRaden, P.M. 2008. Efficient methods to compute genomic predictions. HJ. Dairy Sci. 91:4414–4423H.

VanRaden, P.M., C.P. Van Tassell, G.R. Wiggans, T.S. Sonstegard, R.D. Schnabel, J.F. Taylor, and F.S. Schenkel. 2009. Invited review: Reliability of genomic predictions for North American Holstein bulls. HJ. Dairy Sci. 92:16–24H.

VanRaden, P.M., and P. Sullivan. 2010. International genomic evaluation methods for dairy cattle. HGenet. Sel. Evol. 42:7H.

VanRaden, P.M., J.R. O’Connell, G.R. Wiggans, and K.A. Weigel. 2011. Genomic evaluations with many more genotypes. HGenet. Sel. Evol. 43:10H.

Olson, K.M., P.M. VanRaden, M.E. Tooker, and T.A. Cooper. 2011. Differences among methods to validate genomic evaluations for dairy cattle. HJ. Dairy Sci. 94:2613–2620H.



VanRaden, P.M., K.M. Olson, G.R. Wiggans, J.B. Cole, and M.E. Tooker. 2011. Genomic inbreeding and relationships among Holsteins, Jerseys, and Brown Swiss. HJ. Dairy Sci. 94:5673–5680H.

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