Brief Summary of Minutes of Annual Meeting

Agenda of Meeting: Thursday, October 23 9:00-9:15 Welcome/Introductions 9:15-10:00 Overview of NCERA-225 http://nimss.umd.edu/lgu_v2/homepages/home.cfm?trackID=13956 - Objectives - Station reports - Appendix E 10:00-10:45 Steve Kachman A Bayesian model based on an underlying haplotype model 10:45-11:30 Larry Kuehn and Warren Snelling DNA pooling and partitioning variance in whole genome applications 11:30-12:00 Jared Decker Next generation extension in the age of next generation genomics 12:00-1:30 Lunch (on your own) 1:30-2:15 Daniela Lourenco Genomic evaluation for calving ease and birth weight with a threshold- linear model 2:15-3:00 Ignacy Misztal Extension of ssGBLUP to a very large number of genotypes 3:00-3:45 Dorian Garrick Problems with training and validation in genomic data of breed associations 3:45-4:30 Station Reports/Research Updates 4:30-6:00 On your own 6:00-8:00 Dinner at John Bozeman’s Bistro Friday, October 24 9:00-11:00 Station Reports/Research Updates Summary of Minutes: Lauren Hyde, committee chair, called the meeting to order. After introductions and a review of the agenda, Keith Bertrand, administrator, discussed the importance of meeting committee objectives and the requirements of a written station report. Steve Kachman, Larry Kuehn, Warren Snelling, Jared Decker, Ignacy Misztal, Daniela Lourenco and Dorian Garrick followed with presentations on incorporating genomics into national beef cattle genetic evaluation and on using Internet blogs as a means of efficiently and effectively providing educational material on genomics to large numbers of stakeholders. Representatives from all universities, breed associations and government research centers in attendance gave informal station reports and updated the committee on current research projects. During the business meeting, Larry Kuehn moved and Kathy Hanford seconded to meet in October 2015 at North Dakota State University with Lauren Hanna as committee chair and in October 2016 at the American Angus Association headquarters in St. Joseph, Missouri, with Dan Moser as committee chair. The meeting was adjourned.

This committee’s meeting is the only place where leaders in the area of genetic evaluation technology in the beef industry meet on an annual basis. The most cutting edge methods and technologies are debated and discussed. Ideas from this meeting help inform research priorities and activities for the coming year. For example, many of the current technologies used to incorporate genomics into national genetic evaluation were presented and discussed at past annual meetings. As evidenced in the following sections, our committee members are very productive and collaborate a great deal. Their presence at a wide range of national and international meetings illustrates the stature of the scholarship and far reaching impacts of the committee in beef cattle breeding, and more broadly animal breeding, in the national and international research, teaching and extension arenas. Committee members are involved in the national online animal breeding graduate education program, and contribute to the national beef cattle extension Brown Bagger Series and the eXtension Beef Cattle Clearinghouse.

Aherin, D.G., P.J. Ebert, J.R. Shearer, R.L. Weaber, J. M. Bormann, D.W. Moser, and M.D. MacNeil. 2014. Simulation and economic analysis of beef cattle natural service and induced twinning via embryo transfer following AI breeding and two calf management systems. J. Anim. Sci. 92(E-Suppl.):69(Abstr.). Ahlberg, C.M., L.A. Kuehn, R.M. Thallman, S.D. Kachman, and M.L. Spangler. 2014. Genetic parameter estimates for calving difficulty and birth weight in a multi-breed population. In Proc. 10th World Congress on Genetics Applied to Livestock Production. Ahlberg, C.M.,L. N. Schiermiester, J. T. Howard, C. Calkins, and M.L. Spangler. 2014. Genome wide association study of cholesterol and poly- and mono-unsaturated fatty acids, protein, and mineral content of beef from crossbred cattle. Meat Sci. 98: 804-814. Ahlberg, C.M.,L. N. Schiermiester, and M.L. Spangler. 2014. Cholesterol and poly- and mono-unsaturated fatty acids, protein, and mineral content of beef: A genome wide association study using crossbred cattle. Proceedings: Beef Improvement Federation Annual Convention, Lincoln, NE. Atkins, J.A., K. G. Pohler, and M. F. Smith. 2014. Physiology and Endocrinology of Puberty in Heifers. J. Anim.Sci. 92E (Suppl 2):113. (Abstr.) Atkins, J. A. 2014. Preparing for Estrous Synchronization and Artificial Insemination. The Register, March ed. American Simmental Association Publication, Bozeman, MT. p. 16-19. Atkins, J. A. 2014. Simmental Genetic Trends, 1993-2013. The Register, April ed. American Simmental Association Publication, Bozeman, MT. p. 18–19. Atkins, J. A. 2014. Changes to Trait Trac Reporting. The Register, July/August ed. American Simmental Association Publication, Bozeman, MT. p. 16-17. Atkins, J. A. 2014. Applied Reproductive Strategies. The Register, November ed. American Simmental Association Publication, Bozeman, MT. p.14-16. Atkins, J. A. and G. Hodges. 2014. Genetic Selection Part I: Using Index Thresholds: With Insights from Gordon Hodges. SimTalk, Late Fall ed. American Simmental Association Publication, Bozeman, MT p. 24-31. Atkins, J. A. 2014. Heterosis and Feed Efficiency in Beef Cattle. SimTalk, March ed. American Simmental Association Publication, Bozeman, MT. p. 6-8. Baes, C.F., M.A. Dolezal, E. Fritz-Waters, J.E. Koltes, B. Bapst, C. Flury, H. Signer-Hasler, C. Stricker, R. Fernando, F. Schmitz-Hsu, D.J. Garrick, J.M. Reecy, B. Gredler. 2014. Comparison of variant calling methods for whole-genome sequencing data in dairy cattle. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-posters/668_paper_10014_manuscript_1167_0b.pdf?sfvrsn=2 Baes, C.F., M.A. Dolezal, J.E. Koltes, B. Bapst, E. Fritz-Waters, S. Jansen, C. Flury, H. Signer-Hasler, C. Stricker, R. Fernando, R. Fries, J. Moll, D.J. Garrick, J.M. Reecy, B. Gredler. 2014. Evaluation of variant identification methods for whole genome sequencing data in dairy cattle. BMC Genomics (accepted – in press) Bates, K.E., R.L. Weaber, J.M. Bormann, D.W. Moser, J.L. Salak-Johnson, C.C.L. Chase, R.K. Peel, H. Van Campen, G.H. Loneragan, J.J. Wagner, P. Bodhireddy, K. Prayaga, and R.M. Enns. 2014. Genetic relationships among temperament, immune function, and carcass merit in beef cattle. Kansas State University Beef Cattle Research Report. SRP1101:39-44. Bates, K.E., R.L. Weaber, J.M. Bormann, D.W. Moser, J.L. Salak-Johnson, C.C.L. Chase, R.K. Peel, H. Van Campen, G.H. Loneragan, J.J. Wagner, P. Bodhireddy, K. Prayaga, and R.M. Enns. 2014. Temperament can be an indicator of feedlot performance and carcass merit in beef cattle. Kansas State University Beef Cattle Research Report. SRP1101:34-38. Bradford, H.L., D.W. Moser, J.M. Bormann, and R.L. Weaber. 2014. Udder quality is moderately heritable in Hereford cattle. Kansas State University Beef Cattle Research Report. SRP1101:23-25. Bradford, H.L., D.W. Moser, J.M. Bormann, and R.L. Weaber. 2014. Heifer calving rate is lowly heritable in Hereford cattle. Kansas State University Beef Cattle Research Report. SRP1101:26-27. Buchanan, D. S., and L. L. Hulsman Hanna. 2014. Understanding EPDs. Black Hereford Journal 3(1):7-10. Cesar, A.S.M., L.C.A. Regitano, G.B. Mourao, R.R. Tullio, D.P.D. Lanna, R.T. Nassu, M.A. Mudado, P.S.N. Oliveira, M.L. do Nascimento, A.S. Chaves, M.M. Alencar, T.S. Sonstegard, D.J. Garrick, J.M. Reecy, L.L. Coutinho. 2014. Genome-wide association study for intramuscular fat deposition and composition in Nellore cattle. BMC Genetics 15:39. Cheng, H., D.J. Garrick, R.L. Fernando. 2014. Parallel computing to speed up whole-genome analyses using independent Metropolis-Hastings sampling. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-posters/694_paper_9259_manuscript_1683_0b.pdf?sfvrsn=2 Chung, H. Y., Y. C. Choi, and M. E. Davis. 2014. Associations between genetic variants in the promoter region of the insulin-like growth factor-1 (IGF-1) gene and blood serum IGF-1 concentrations in Hanwoo cattle. Asian Journal of Animal and Veterinary Advances. (in press) Chung, Hoyoung, and Michael Davis. 2014. Effects of genetic variants and mapping assignments of the ovine calpain regulatory subunit gene on chromosome 14. Genes & Genomics. DOI 10.1007/s13258-014-0181-1. Cockrum, R.R., X. Zeng, N.F. Berge, J.M. Neary, F.B. Garry, T. Holt, H.D. Blackburn, S. Thomas, S.E. Speidel, D.J. Garrick, R.M. Enns, M.G. Thomas. 2014. Angus cattle at high altitude: genetic relationships and initial genome-wide association analyses of pulmonary arterial pressure. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-proceedings-oral/236_paper_9105_manuscript_427_0.pdf?sfvrsn=2 Decker, JE. New Technologies Provide New Opportunities. Charolais Journal August 2014, page 68-69. http://issuu.com/edje/docs/journal_august2014/70 Decker, JE, SD McKay, MM Rolf, JW Kim, A Molina Alcalá, TS Sonstegard, O Hanotte, A Götherström, CM Seabury, L Praharani, ME Babar, LCA Regitano, MA Yildiz, MP Heaton, W-S Liu, C-Z Lei, JM Reecy, M Saif-Ur-Rehman, RD Schnabel, JF Taylor. Worldwide Patterns of Ancestry, Divergence, and Admixture in Domesticated Cattle. PLoS Genetics 10 (3), e1004254 DeVore, T. S. Winkleblack, B. L. Golden and C. Lupo. 2014. A heterogeneous compute solution for optimized genomic selection analysis. Proc. BIBM 2014 Workshop, Belfast, U.K. Douthit, T.L., J.M. Bormann, and N.M. Bello. 2014. Assessing the association between hoof thermography and hoof Doppler ultrasonography for the diagnosis of lameness in horses. J. Equine Vet. Sci. 34(275-280). Elzo, M. A., M. G. Thomas, D. D. Johnson, C. A. Martinez, G. C. Lamb, D. O. Rae, J. G. Wasdin, and J. D. Driver. 2014. Genomic-Polygenic Evaluation of Multibreed Angus-Brahman Cattle for Postweaning Ultrasound and Weight Traits with Actual and Imputed Illumina50k SNP Genotypes. Proc. 10th World Congress of Genetics Applied to Livestock Production, Vancouver, BC, Canada, p 1-3. Elzo, M. A., M. G. Thomas, C. A. Martinez, G. C. Lamb, D. D. Johnson, I. Misztal, D. O. Rae, J. G. Wasdin, and J. D. Driver. 2014. Genomic-polygenic evaluation of multibreed Angus-Brahman cattle for postweaning feed efficiency and growth using actual and imputed Illumina50k SNP genotypes. Livest. Sci. 159:1-10. Fernando, R.L., J.C.M. Dekkers, D.J. Garrick. 2014. A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole genome analyses. Genetics, Selection, Evolution 46:50. Fernando, R.L., A. Toosi, D.J. Garrick, J.C.M. Dekkers. 2014. Application of whole-genome prediction methods for genome-wide association studies: a Bayesian approach. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-proceedings-oral/201_paper_10341_manuscript_1325_0.pdf?sfvrsn=2 Ferraz, J.B.S., M.H.A. Santana, G.A. Oliveira Jr., F.M. Rezende, H. Fukumasu, P.A. Alexandre, A.S.M. Cesar, M.E. Carvalho, L.L. Coutinho, J.P. Eler, E.C. Mattos, F.S. Baldi, D.J. Garrick. 2014. Feed efficiency in Nellore cattle (Bos Indicus): impact of molecular breeding value estimation methods in the accuracy of breeding value estimates. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-proceedings-oral/118_paper_8699_manuscript_216_0.pdf?sfvrsn=2 Fragomeni, B., I. Misztal, D. Lourenco, I. Aguilar, R. Okimoto and W. Muir. 2014. Changes in variance of top SNP windows over generations for three traits in broiler chicken. Frontiers Genet. doi: 10.3389/fgene.2014.00332 Garrick, D.J. 2014. Genetic and genomic improvement in Livestock. Proceedings of the Ensminger School held in Lima Peru November 5-7, 2014. Advancing modern animal production. Pp 27-38. Garrick, D., J. Dekkers, R. Fernando. 2014. The evolution of methodologies for genomic prediction. Livestock Science 166:10-18. Garrick, D.J., J.C.M. Dekkers, B.L. Golden, R.L. Fernando. 2014. (Invited paper) Bayesian prediction combining genotyped and non-genotyped individuals. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-proceedings-oral/053_paper_10311_manuscript_1300_0.pdf?sfvrsn=2 Gebreyohannes, G., S. Koonawootrittriron, M. A. Elzo, and T. Suwanasopee. 2014. Genotype by Environment Interaction Effect on Lactation Pattern and Milk Production Traits in an Ethiopian Dairy Cattle Population. Kasetsart J. Nat. Sci. 48:38-51. Gonzalez, J. M., D. D. Johnson, M. A. Elzo, M. C. White, A. M. Stelzleni, and S. E. Johnson. 2014. Effect of Brahman genetic influence on collagen enzymatic crosslinking gene expression and meat tenderness. Anim. Biotech. 25:165-178. Hafla, A. N., P. A. Lancaster, G. E. Carstens, D. W. Forrest, J. T. Fox, T. D. A. Forbes, M. E. Davis, R. D. Randel, and J. W. Holloway. 2012. Relationships between feed efficiency traits, scrotal circumference, and semen-quality traits in yearling bulls. J. Anim. Sci. 90:3937-3944. Halley, YA, SE Dowd, JE Decker, PM Seabury, E Bhattarai, CD Johnson, D Rollins, IR Tizard, DJ Brightsmith, MJ Peterson, JF Taylor, CM Seabury. A Draft De Novo Genome Assembly for the Northern Bobwhite (Colinus virginianus) Reveals Evidence for a Rapid Decline in Effective Population Size Beginning in the Late Pleistocene PloS One 9 (3), e90240 Hermas, S. A., and M. A. Elzo. 2014. Estimation of Genetic Parameters and Trends for Milk Production in a Libyan Holstein Population under Arid Mediterranean Subtropical Conditions. Proc. 10th World Congress of Genetics Applied to Livestock Production, Vancouver, BC, Canada, p 1-3. Howard, J.T., S. D. Kachman, W.M. Snelling, E.J Pollak, D. C. Ciobanu, L. A. Kuehn, and M. L. Spangler. 2014. Beef cattle body temperature during climatic stress: A genome wide association study. International J. Biometeorology 58:1665:1672. Hulsman Hanna, L. L., D. J. Garrick, C. A. Gill, A. D. Herring, P. K. Riggs, R. K. Miller, J. O. Sanders, and D. G. Riley. 2014. Genome-wide association study of temperament and tenderness using different Bayesian approaches in a Nellore-Angus crossbred population. Livest. Sci. 161:17-27. Hulsman Hanna, L. L., D. J. Garrick, C. A. Gill, A. D. Herring, J. O. Sanders, and D. G. Riley. 2014. Comparison of breeding value prediction for two traits in a Nellore-Angus crossbred population using different Bayesian modeling methodologies. Genet. Mol. Biol. In Press. Hulsman Hanna, L. L., and D. G. Riley. 2014. Mapping genomic markers to closest feature using the R package Map2NCBI. Livest. Sci. 162:59:65. Hulsman Hanna, L. L., J. O. Sanders, D. G. Riley, C. A. Abbey, and C. A. Gill. 2014. Identification of a major locus interacting with MC1R and modifying black coat color in an F2 Nellore-Angus population. Genet. Sel. Evol. 46:4. Jattawa, D., S. Koonawootrittriron, T. Suwanasopee, M. A. Elzo, P. Ritsawai, T. Laodim, T. Konkruea, B. Wongpom, P. Yodklaew, and J. Khemsawat. 2014. Problems and obstacles in blood sampling for dairy breeding research in Thailand. Thai J. Anim. Sci. 1 (Suppl. 1):321-324. Kachman, S.D. (2014, August). Approximation of the Structural Forms of the Variances and Covariances between Molecular and Phenotypic Breeding Values. In 10th World Congress on Genetics Applied to Livestock Production. Asas. Kachman, S.D., and M.L. Spangler. 2014. Evaluation of Red Angus genomic predictors. Kizilkaya, K., R.L. Fernando, D.J. Garrick. 2014. Reduction in accuracy of genomic prediction for ordered categorical data compared to continuous observations. Genetics, Selection, Evolution 46:37. Koonawootrittriron, S., M. Elzo, T. Suwanasopee, C. Chaimongkol, T. Sainui, T. Tongprapi, and T. Ralukmun. 2014. D.P.O. Sire & Dam Summary 2013. Dairy Farming Promotion Organization, Ministry of Agriculture and Cooperatives of Thailand, Bangkok. p 1-56. Kurdistani Karimi Z., J. Rostamzadeh, A. Rashidi, and M. E. Davis. 2013. Evaluation of insulin-like growth factor-I gene polymorphism on growth traits and yearling fleece weight in goats. Small Ruminant Research 111:10-15. Lancaster, P. A., G. E. Carstens, J. J. Michal, K. M. Brennan, K. A. Johnson, and M. E. Davis. 2014. Relationships between residual feed intake and hepatic mitochondrial function in growing beef cattle. J. Anim. Sci. 92:3134-3141. Laodim, T., S. Koonawootrittriron, T. Suwanasopee, and M. A. Elzo. 2014. Genome Patterns of SNP Variation in a Thai Multibreed Dairy Population. Pages 17-24 in Proc. Kasetsart University Conference, Animals, Bangkok, Thailand. Legarra, A., O. F. Christensen, I. Aguilar, and I. Misztal. 2014. Single Step, A General Approach For Genomic Selection. Livest. Sci. 166:54-65. Lewis, R.M., M. L. Spangler, B. B. Lockee, R. M. Enns, K. J. Enns, J. C. Dekkers, C. Maltecca, J. P. Cassady, M. MacNeil, C. A. Gould, D. L. Boggs, I. Misztal and E. J. Pollak. 2014. Filling the Knowledge Gap: Integrating Quantitative Genetics and Genomics in Graduate Education and Outreach. In Proc. 10th World Congress on Genetics Applied to Livestock Production. Lourenco, D. A. L., I. Misztal, S. Tsuruta, I. Aguilar, E. Ezra, M. Ron, A. Shirak, and J. I. Weller. 2014. Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses. J. Dairy Sci. 97:1742-1752. Lourenco, D. A. L., I. Misztal, S. Tsuruta, I. Aguilar, T. J. Lawlor, S. Forni, and J. I. Weller. 2014. Are evaluations on young genotyped animals benefiting from the past generations? J. Dairy Sci. 97:3930-3942. Lucot, K.L., M. L. Spangler, S. D. Kachman and D. C. Ciobanu. 2014. Genomic prediction of age at puberty insows using Bayesian methods. J. Anim. Sci. 92: E Suppl. 2. Lucot, K.L., M.L. Spangler, M.D. Trenhaile, S.D. Kachman, and D.C. Ciobanu. 2014. Evaluation of reduced subsets of Single Nucleotide Polymorphisms for the prediction of age at puberty and reproductive longevity in sows. Anim. Genetics (Submitted). Martinez, C. A., K. Khare, and M. A. Elzo. 2014. Derivation of Bayes and Minimax decision rules for allelic frequencies estimation in biallelic loci. J. Anim. Sci. 92 (E-Suppl. 2):470. Mateescu, R.G., D.J. Garrick, A.J. Garmyn, D.L. VanOverbeke, G.G. Hilton, J.M. Reecy. 2014. Genetic parameters for sensory traits in longissimus muscle and their associations with tenderness, marbling score, and intramuscular fat in Angus cattle. Journal of Animal Science (accepted - in press). Misztal, I., A. Legarra, and I. Aguilar. 2014. Using recursion to compute the inverse of the genomic relationship matrix. J. Dairy Sci. 97:3943-3952. Morris, S.T., F.Y. Chan, N. Lopez-Villalobos, P.R. Kenyon, D.J. Garrick, H.T. Blair. 2014. Growth, feed intake and maternal performance of Angus heifers from high and low feed efficiency selection lines. Animal Production Science 54:1428-1431. Natarajan, Chandrasekhar, Federico G. Hoffmann, Hayley C. Lanier, Zachary A. Cheviron, Matthew L. Spangler, Roy E. Weber, Angela Fago, and Jay F. Storz . 2014. Intraspecific Polymorphism, Interspecific Divergence, and the Origins of Function-Altering Mutations in Deer Mouse Hemoglobin. Molec. Bio. And Evol. (under revision). Noppibool, U., S. Koonawootrittriron, M. A. Elzo, and T. Suwanasopee. 2014. Effect of Breed Group and Age at First Farrowing on Length of Productive Life of Sows. Proc. Royal Golden Jubilee Congress, Pattaya, Thailand. Oliveira, P.S.N., A.S.M. Cesar, M.L. do Nascimento, A.S. Chaves, R.R. Tullio, D.P. Lanna, A.N. Rosa, T. Sonstegard, G.B. Mourao, J.M. Reecy, D.J. Garrick, M.A. Mudadu, L.L. Coutinho, L.C.A. Regitano. 2014. Identification of genomic regions associated with feed efficiency in Nellore cattle. BMC Genetics 15:100 . Oliveira, P.S.N., A.S.M. Cesar, M.L. Do Nascimento, M.M. Souza, R.R. Tullio, D.O. Lanna, T. Sonstegard, G.B. Mourao, J.M. Reecy, D.J. Garrick, M.A. Mudadu, L.L. Coutinho, L.C.A. Regitano. 2014. Potential candidate genes for residual intake and gain in Nelore beef cattle. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-posters/555_paper_8744_manuscript_228_0.pdf?sfvrsn=2 Patterson, DJ, DS Brown, WJ Sexten, JE Decker, SE Poock. Management Strategies for Adding Value to Replacement Beef Heifers: A Working Model. Veterinary Clinics of North America: Food Animal Practice 29 (3), 653-666. Peters, S.O., K. Kizilkaya, D.J. Garrick, R.L. Fernando, E.J. Pollak, R. M. Enns, M. De Donato, O.O. Ajayi, I.G. Imumorin. 2014. Use of robust multivariate linear mixed models for estimation of genetic parameters for carcass traits in beef cattle. Journal of Animal Breeding and Genetics 2014:1-9, doi: 10.1111/jbg.12093. Peters, S., K. Kizilkaya, D. Garrick, R. Fernando, J. Reecy, I. Imumorin, M. Thomas. 2014. Genome-wide association study of first service conception rate in Brangus heifers using probit, robit and logit models. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-posters/643_paper_9759_manuscript_927_0.pdf?sfvrsn=2 Raies M., M. Y. Kang, T. Bliss, M. A. Elzo, K. C. Jeong. 2014. Animal risk that modulate the prevalence and persistence of Shiga toxin-producing Escherichia coli in cattle. Pages 88-89 in EPI Research Day Book of Abstracts. Retallick, K.J., T.E. Adcock, T.R. Schultz, J.M. Bormann, R.L. Weaber, D.W. Moser, and M.D. MacNeil. 2014. Maximizing profit in a feedlot enterprise using systems analysis thinking and linear programming. J. Anim. Sci. 92(E-Suppl.):456(Abstr.). Riley, D. G., M. R. Woolfolk, and L. H. H. Hanna. 2013. American Black Hereford Association Estimated Progeny Differences. Black Hereford Journal 2(2):8-9. Editor: N. Hoagland. American Black Hereford Association, Leavenworth, KS. Ritsawai, P., S. Koonawootrittriron, D. Jattawa, T. Suwanasopee and M. A. Elzo. 2014. Fraction of cattle breeds and their influence on milk production of Thai dairy cattle. Pages 25-32 in Proc. Kasetsart University Conference, Animals, Bangkok, Thailand. Rolf, MM, JE Decker, SD McKay, PC Tizioto, KA Branham, LK Whitacre, JL Hoff, LCA Regitano, JF Taylor. Genomics in the United States beef industry. Livestock Science 166, 84-93. Saatchi, M., J.E. Beever, J.E. Decker, D.B. Faulkner, H.C. Freetly, S.L. Hansen, H. Yampara-Iquise, K.A. Johnson, S.D. Kachman, M.S. Kerley, JW. Kim, D.D. Loy, E. Marques, H.L. Neibergs, E.J. Pollak, R.D. Schnabel, C.M. Seabury, D.W. Shike, W.M. Snelling, M.L. Spangler, R.L. Weaber, D.J. Garrick, J.F. Taylor. 2014. QTL, candidate genes, metabolic and signalling pathways associated with growth, metabolic mid-test weight, feed intake and feed efficiency in beef cattle. BMC Genomics (accepted – in press). Saatchi, M., D.J. Garrick. 2014. (Invited paper) Across breed genomic predictions in beef cattle. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-proceedings-oral/065_paper_10332_manuscript_1318_0.pdf?sfvrsn=2 Saatchi, M., R.D. Schnabel, J.F. Taylor, D.J. Garrick. 2014. Large-effect pleiotropic or closely linked QTL segregate within and across ten US beef cattle breeds. BMC Genomics 15:442. Schiermiester, L.N., R.M. Thallman, L.A. Kuehn, S.D. Kachman, and M.L. Spangler. 2014. Estimation of breed-specific heterosis effects for birth, weaning and yearling weight in cattle. J. Anim. Sci. (under revision). Schiermiester, L.N., R.M. Thallman, L.A. Kuehn, and M.L. Spangler . 2014. 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