NCERA_old225: Implementation and Strategies for National Beef Cattle Genetic Evaluation

(Multistate Research Coordinating Committee and Information Exchange Group)

Status: Inactive/Terminating

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SAES-422 Reports

Annual/Termination Reports:

[12/09/2014] [06/30/2014] [12/12/2014] [12/24/2015] [01/03/2017]

Date of Annual Report: 12/09/2014

Report Information

Annual Meeting Dates: 10/17/2012 - 10/19/2012
Period the Report Covers: 10/01/2011 - 09/01/2012

Participants

1. Dr. Jennifer Bormann, Kansas State University
2. Kerri Bates, Kansas State University
3. Heather Bradford, Kansas State University
4. Dr. Darrh Bullock, University of Kentucky
5. Dr. Michael Davis, Ohio State University
6. Dr. Mauricio Elzo, University of Florida
7. Dr. Rohan Fernando, Iowa State University
8. Dr. Dorian Garrick, Iowa State University
9. Dr. Kathy Hanford, University of Nebraska
10. Dr. Maynard Hogberg, Iowa State University
11. Lauren Hulsman, Texas A&M University
12. Dr. Lauren Hyde, American Simmental Association
13. Dr. Ikhide Imumorin, Cornell University
14. Dr. Steve Kachman, University of Nebraska
15. Dr. Vinay Katneni, Iowa State University
16. Joy King, University of Georgia
17. Dr. Larry Kuehn, US Meat Animal Research Center
18. Dr. Daniela Lino, University of Georgia
19. Dr. Elisa Marques, GeneSeek
20. Kari Otteman, Kansas State University and American Gelbvieh Association
21. Dr. Mahdi Saatchi, Iowa State University
22. Dr. Wade Shafer, American Simmental Association
23. Dr. Warren Snelling, US Meat Animal Research Center
24. Dr. Matt Spangler, University of Nebraska
25. Dr. Scott Speidel, Colorado State University
26. Dr. Mark Thallman, US Meat Animal Research Center
27. Dr. Bob Weaber, Kansas State University
28. Ziqing Weng, Iowa State University
29. Dr. Ania Wolc, HyLine and Iowa State University
30. Dr. Robert Williams, American International Charolais Association

Brief Summary of Minutes

Brief summary of Minutes of Business Meeting:

The 2012 NCERA-225 Implementation and Strategies for National Beef Cattle Genetic Evaluation was held in Des Moines Iowa, October 17-19, 2012. Dr. Dorian Garrick served as chair and Dr. Rohan Fernando served as secretary.

Dr. Garrick called the business meeting to order at 8:00 AM. A motion was made and seconded to approve the minutes from the 2011 annual meeting. After a brief discussion on the location of the next annual meeting, it was decided to plan a BIF Genetic Prediction Workshop in November 2013, at Kansas City, and hold the NCERA-225 annual meeting in conjunction with the workshop. Dr. Thallman agreed to laiase with BIF to organize the workshop, while Dr. Bob Weaber volunteered to chair the committee and host the next meeting. Dr. Jennifer Bormann volunteered to serve as secretary.

Dr Maynard Hogberg, the administrative adviser, provided an update on the funding situation for research and on the formation of the National Association for the Advancement of Animal Science, an association focused on advocating increased federal investment in animal science research.

Activities, Reports and Presentations:

10/17/2012

1. Tour of DuPont Pioneer: Automated Greenhouses, GMT and Transformation labs.
2. Genetic Evaluation at Pioneer. Radu Totir, DuPont Pioneer.
3. Findings from genomic selection in parallel to conventional selection for layers- commercial implementation and the challenges and benefits in the commercial breeding program. Neil OSullivan Hy-Line.

10/18/2012

Station and Breed Association Reports: Colorado State University, Cornell University, Iowa State University, Kansas State University, Ohio State University, Texas A&M University, University of Florida, University of Georgia, University of Kentucky, University of Nebraska, US Meat Animal Research Center, National Beef Cattle Evaluation Consortium, American Angus Association, American Gelbvieh Association, American International Charolais association, American Simmental Association, GeneSeek/Igenity.

Minutes Attachment:

Attachment

Accomplishments

The Annual meeting was held in Des Moines, IA, October 17-19, 2012. Dr. Dorian Garrick served as chair, Dr. Rohan Fernando as secretary, and Dr. Maynard Hogberg as the administrative adviser. There were 30 participants and a total of 25 presentations in addition to 18 station reports. The focus of most presentations was on the use of genomics for genetic improvement of beef cattle. " Members of this committee have contributed to the objectives of NCERA- 225. These include: Participation in extension and research teams of the USDA funded National Program for Genetic Improvement of Feed Efficiency in Beef Cattle. Implementing NBCEC genomic predictions in American Hereford Association, American Simmental Association for routine creation of molecular breeding values from 50k SNP panels for all routinely recorded traits in those breed associations. Research and communication with breed associations on methods to incorporate molecular breeding values in national cattle evaluation. NBCEC Brown Bagger Series.

Publications

Blair, E.E., J. Minick Bormann, D.W. Moser, and T.T. Marston. 2012. Relationship between residual feed intake and female reproductive measurements in heifers sired by high- or low-residual feed intake Angus bulls. Professional Animal Scientist, Accepted Oct. 29, 2012. 1 2. Bolívar, D. M., M.A. Elzo, M. F. Cerón, E. J. Ramírez, D. A. Agudelo. 2012. Performance tests for buffaloes (Bubalus bubalis) coming from meat and dual-purpose (meat-milk) preweaning management systems in Colombia. Col. J. Anim. Sci. (In press) 3. Bormann, J.M. 2012. Incorporating group problem solving to improve student learning in an agricultural genetics class. NACTA Journal, 56:57- 59. 4. Chung, H. Y., and M. E. Davis. 2011. Effects of calpain genotypes on meat tenderness and carcass traits of Angus bulls. Mol. Biol. Rep. 38:4575-4581. 5. Chung, H., and M. Davis. 2012. Effects of genetic variants for the calpastatin gene on calpastatin activity and meat tenderness in Hanwoo (Korean cattle). Meat Science 90:711-714. 6. Chung, H., and M. Davis. 2012. PCR-RFLP of the ovine calpastatin gene and its association with growth. Asian Journal of Animal and Veterinary Advances 7:641-652. 7. Davis, M. E., M. P. Wick, and M. G. Maqivar. 2012. Hormonal regulation of feed efficiency. In: Feed Efficiency in the Beef Industry. Edited by R. A. Hill. 328. Hoboken, NJ:Wiley. http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470959525,descCDtableOfContents. html. 8. Douthit, T.L, J.M. Bormann, K.C. Gradert, L.W. Lomas, S.F.DeWitt, and J.M. Kouba. 2012. The impact of endophyte-infected fescue consumption on digital circulation and lameness in the distal thoracic limb of the horse. J. Anim. Sci. 90:3101-3111. 9. Duan, Q., R.G. Tait, M.S. Mayes, D.J. Garrick, Q. Liu, A.L. Van Eenennaam, R.G. Mateescu, D.L. Van Overbeke, A.J. Garmyn, D.C. Beitz, and J.M. Reecy. 2012. Genetic polymorphisms in bovine transferrin receptor 2 (TFR2) and solute carrier family 40 (iron-regulated transporter) member 1 (SLC40A1) gene and their associations with beef iron content. Animal Genetics. Doi:10.1111/j.1365-2052.2011.02224.x 10. Elzo, M. A., G. Hu, C. A. Martínez, G. C. Lamb, D. D. Johnson, M. G. Thomas, I. Misztal, D. O. Rae, J. G. Wasdin, and J. D. Driver. 2012. Genomic-polygenic evaluation of Angus-Brahman cattle for carcass traits with the Illumina3K chip. J. Anim. Sci. 90 (E-Suppl. 3):523. 11. Elzo, M. A., D. D. Johnson, J. G.Wasdin, and J. D. Driver. 2012. Carcass and meat palatability breed differences and heterosis effects in an Angus- Brahman multibreed population. Meat Sci. 90: 87-92. 2 12. Elzo, M. A., G. C. Lamb, D. D. Johnson, M. G. Thomas, I. Misztal, D. O. Rae, C. A. Martinez, J. G. Wasdin, and J. D. Driver. 2012. Genomicpolygenic evaluation of Angus-Brahman multibreed cattle for feed efficiency and postweaning growth using the Illumina3k chip. J. Anim. Sci. 90:2488-2497. 13. Elzo, M. A., C. A. Martínez, G. C. Lamb, D. D. Johnson, M. G. Thomas, I. Misztal, D. O. Rae, J. G. Wasdin, and J. D. Driver. 2012. Genomicpolygenic evaluation of postweaning weight and ultrasound carcass traits in an Angus-Brahman multibreed population. J. Anim. Sci. 90 (E-Suppl. 3):522-523. 14. Elzo, M. A. and O. Vergara, Eds. 2012. Statistical modeling applied to animal sciences: II. Genetic Evaluations. Editorial Biogenesis, Medellin, Colombia. http://editorialbiogenesis.udea.edu.co/index.php/biogenesis /article/viewFile/194/199. 15. Garrick, D. J. 2011. The nature, scope and impact of genomic prediction in beef cattle. Invited Review. Genetics Selection Evolution 43:17. 16. Garrick, D.J., L.H. Baumgard, and H.L. Neibergs. 2012. Genomic analysis of data from physiological studies. Invited review. Journal of Dairy Science, 95:499-507. 17. Garrick, D.J., and M. Saatchi. 2011. Opportunities and challenges for genomic selection of beef cattle. Revista Brasileira de Zootecnia, v.40, (Special Supplement) p.310-316. 18. Gebreyohannes, G., S. Koonawootrittriron, M. A. Elzo and T. Suwanasopee. 2012. Fitness of lactation curve functions to daily and monthly test-day milk data in an Ethiopian dairy cattle population. J. Anim. Sci. 90 (E-Suppl. 3):302. 19. Gebreyohannes, G., S. Koonawootrittriron, M. A. Elzo and T. Suwanasopee. 2012. Impact of crossbreeding on production and reproduction traits in an Ethiopian dairy cattle population. 15th Animal Science Congress of the Asian-Australasian Association of Animal Production Societies, Bangkok, Thailand, November 26-30, 2012. 20. Habier, D., R. L. Fernando, K. Kizilkaya, and D. J. Garrick. 2011. Extension of the Bayesian Alphabet for Genomic Selection. BMC Bioinformatics 12:186. 21. 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, scrotal circumference, and semenquality traits in yearling bulls. J. Anim. Sci. doi:10.2527/jas.2011-4029. 3 22. Howard, J. T., M.K. Nielsen, T. Mader, and M.L. Spangler. 2012 . The effect of myostatin genotype on body temperature during extreme temperature events. J. Anim. Sci. 86: E supple. 3. 23. Huang, H, H. C. Hines, K. M. Irvin, K. Lee, and M. E. Davis. 2011. Response to divergent selection for insulin-like growth factor-I concentration and correlated responses in growth traits in Angus cattle. J. Anim. Sci. 89:3924-3934. 24. Hyde, L.R. 2011. Understanding DNA-enhanced EPDs. SimTalk 19(4):18- 19. 25. Hyde, L.R. 2011. Understanding DNA-enhanced EPDs: Part II. SimTalk 19(5):8. 26. Hyde, L.R. 2012. Docility of Brahman-based cattle. SimTalk 20(4):24. 27. Hyde, L.R. and W.R. Shafer. 2012. Multibreed genetic evaluation for calving ease and maternal calving ease. SimTalk 20(1):22-23. 28. Hyde, L.R. and W.R. Shafer. 2012. Multibreed genetic evaluation for calving ease and maternal calving ease. The Register 25(6):16-17. 29. Jattawa, D., S. Koonawootrittriron, M. A. Elzo, and T. Suwanasopee. 2012. Somatic Cells Count and Its Genetic Association with Milk Yield in Dairy Cattle Raised under Thai Tropical Environmental Conditions. Asian-Aust. J. Anim. Sci. 25:1216-1222. 30. Koonawootrittriron, S., M. Elzo, T. Suwanasopee, C. Chaimongkol, T. Sainui, T. Tongprapi, and T. Ralukmun. 2012. D.P.O. Sire & Dam Summary 2011. Dairy Farming Promotion Organization, Ministry of Agriculture and Cooperatives of Thailand, Bangkok. p 1-56. 31. Koonawootrittriron, S., M. A. Elzo, S. Yeamkong, and T. Suwanasopee. 2012. A Comparative Study on Dairy Production and Revenue of the Dairy Farms Supported by a Private Organization with those Supported by a Dairy Cooperative in Central Thailand. Livest. Res. Rural Dev. 24 (4), Article #61. 32. Koonawootrittriron, S., U. Nopibool, M. A. Elzo and T. Suwanasopee. 2012. Length of productive life and lifetime production of Landrace, Yorkshire and crossbred sows raised under Thai tropical conditions. J. Anim. Sci. 90 (E-Suppl. 3):640. 33. Koonawootrittriron, S., P. Yodklaew, M. A. Elzo and T. Suwanasopee. 2012. Association between milk production and Holstein fraction of upgraded dairy cattle in the Thai tropics. J. Anim. Sci. 90 (E-Suppl. 3):266. 4 34. Kurdistani, Z. K., J. Rostamzadeh, A. Rashidi, and M. E. Davis. 2012. Evaluation of insulin-like growth factor-I gene polymorphism on growth traits and yearling fleece weight in goats. Small Ruminant Res. http://dx.doi.org/10.1016/j.smallrumres.2012.08.003. 35. Martínez, C. A., M. A. Elzo, C. Manrique, L. F. Grajales, and A. Jimenez. 2012. Random regression models for estimation of covariance functions, genetic parameters and prediction of breeding values for rib eye area in a Colombian Bos indicus-Bos taurus multibreed cattle population. Col. J. Stat. 35 (Special Issue, 2): 309-322. 36. Martínez, C.A., M. A. Elzo, A. Jimenez, C. Manrique1 and G. Hu. 2012. Covariance functions, genetic parameters and breeding values for longitudinal ultrasound measures of ribeye area in a Colombian multibreed cattle population. J. Anim. Sci. 90 (E-Suppl. 3):267. 37. Martínez, C. A., M. A. Elzo, C. Manrique, and A. Jimenez. 2012. Covariance components, genetic parameters and breeding values for live weight using random regression models in a Bos taurus-Bos indicus multibreed cattle population in Colombia. Col. J. Anim. Sci. (In press) 38. Martínez, C. A., C. Manrique, M. A. Elzo, and A. Jimenez. 2012. Additive genetic group and heterosis effects on growth traits and corporal composition measurements via ultrasound in crossbred animals in Southern Cesar, Colombia. Col. J. Anim. Sci. 25:377-390. Martínez, C. A. *, C. 39. Mateescu, R.G., A.J. Garmyn, M.A. ONeil, R.G. Tait, A. Abuzaid, M.S. Mayes, D.J. Garrick, A.L. Van Eenennaam, D.L. VanOverbeke, G.G. Hilton, D.C. Beitz, and J.M Reecy. 2012. Genetic parameters for carnitine, creatine, creatinine, carnosine, and anserine concentration in longissimus muscle and their associations with palatability traits in Angus cattle. Journal of Animal Science, doi:10.2527/jas.2011-5077. 40. Mateescu, R.G., A.J. Garmyn, R.G. Tait, Q. Duan, Q. Liu, M.S. Mayes, D.J. Garrick, A.L. Van Eenennaam, D.L. VanOverbeke, G.G. Hilton, D.C. Beitz, and J.M Reecy. 2012. Genetic parameters for concentrations of minerals in longissimus muscle and their associations with palatability traits in Angus cattle. Journal of Animal Science, doi:10.2527/jas.2012- 5744. 41. Manrique, M. A. Elzo, and A. Jimenez. 2012. Cattle genetic evaluation: A historical perception. Col. J. Anim. Sci. 25:293-311. 42. Pascoa, L., A. de los Reyes, M. A. Elzo, J. L. Ferreira, L. A. F. Bezerra, and R. B. Lobo. 2011. Relative contribution of effects included in contemporary groups for adjusted and actual 120-d and 210-d weights in Nellore cattle in Brazil. Genetics and Molecular Biology 34:569-574. 5 43. Peters, S.O., K. Kizilkaya, D.J. Garrick, R.L. Fernando, J.M. Reecy, R.L. Weaber, G.A. Silver, and M.G. Thomas. 2012. Bayesian genome-wide association analyses of growth and yearling ultrasound measures of carcass traits in Brangus heifers. Journal of Animal Science, doi:10.2527/jas.2011- 4507. 44. Peters, S.O., K. Kizilkaya, D.J. Garrick, R.L. Fernando, J.M. Reecy, R.L. Weaber, G.A. Silver, and M.G. Thomas. 2012. Heritability and Bayesian genome-wide association study of first service conception and pregnancy in Brangus heifers. Journal of Animal Science, doi:10.2527/jas.2012-5580. 45. Ramírez-Díaz, J., T. A. Oliveira, A. Zampar, S. F. N. Pertile, M. A. Elzo, J. B. S. Ferraz, G. B. Mourao. 2012. Genetic parameters for carcass traits and weaning weight of composite beef cattle in Brazil. J. Anim. Sci. 90 (E-Suppl. 3):270. 46. Saatchi, M., R.D. Schnabel, M.M. Rolf, J.F. Taylor, and D.J. Garrick. 2012. Accuracy of direct genomic breeding values for nationally evaluated traits in US Limousin and Simmental beef cattle. Genetics Selection Evolution, 44:38. 47. Sun X, Qu L, Garrick DJ, Dekkers JCM, Fernando RL (2012) A Fast EM Algorithm for BayesA-Like Prediction of Genomic Breeding Values. PLoS ONE 7(11): e49157. doi:10.1371/journal.pone.0049157 48. Toledo, H. O., J. M. Berruecos, C. G. Vazquez, F. J. Ruiz, and M. A. Elzo. 2012. Genetic parameters for milk production in two Holstein cattle populations in Mexico. 48th National Livestock Research Meetings, Queretaro, Mexico, September 10-13, 2012. 49. Weber, K.L., D.J. Drake, J.F. Taylor, D.J. Garrick, L.A. Kuehn, R.M. Thallman, R.D. Schnabel, W.M. Snelling, E.J. Pollak, and A.L. Van Eenennaam. 2012. The accuracies of DNA-based estimates of genetic merit derived from Angus- or multi-breed beef cattle training populations. Journal of Animal Science doi:10.2527/jas.2011-5020 6

Impact Statements

The annual meeting of this committee has served as a venue for discussion of challenges and possible solutions for application of genomics in beef cattle genetic evaluation. Some of the ideas discussed at the annual meeting have been further researched and applied to routine beef cattle genetic evaluations to obtain predictions with accuracies enhanced by genomic information. " Members of this committee have contributed to extension education through the Brown Bagger Series. " Members of this committee have contributed to graduate education through a USDA funded online graduate education project.

Date of Annual Report: 06/30/2014

Report Information

Annual Meeting Dates: 12/11/2013 - 12/13/2013
Period the Report Covers: 10/01/2012 - 12/01/2013

Participants

Dr. Michael Bishop, Illumina 2. Heather Bradford, Kansas State University 3. Dr. Darrh Bullock, University of Kentucky 4. Dr. Jared Decker, University of Missouri 5. Dr. Mauricio Elzo, University of Florida 6. Dr. Rohan Fernando, Iowa State University 7. Dr. Dorian Garrick, Iowa State University 8. Dr. Bruce Golden, California Polytechnic State University 9. Dr. Kathy Hanford, University of Nebraska 10. Jesse Hoff, University of Missouri 11. Dr. Maynard Hogberg, Iowa State University 12. Jinming Huang, University of Missouri 13. Dr. Lauren Hyde, American Simmental Association 14. Dr. Steve Kachman, University of Nebraska 15. Dr. Larry Kuehn, US Meat Animal Research Center 16. Dr. Ignacy Misztal, University of Georgia 17. Dr. John Pollak, US Meat Animal Research Center 18. Dr. Warren Snelling, US Meat Animal Research Center 19. Dr. Matt Spangler, University of Nebraska 20. Dr. Mark Thallman, US Meat Animal Research Center 21. Dr. Bob Weaber, Kansas State University 22. Dr. Robert Williams, American International Charolais Association

Participants Attachment:

Attachment

Brief Summary of Minutes

Present: Michael Bishop, Heather Bradford, Darrh Bullock, Jared Decker, Mauricio Elzo, Rohan Fernando, Dorian Garrick, Bruce Golden, Kathy Hanford, Jesse Hoff, Maynard Hogberg, Jinming Huang, Lauren Hyde, Steve Kachman, Larry Kuehn, Ignacy Misztal, John Pollak, Warren Snelling, Matt Spangler, Mark Thallman, Bob Weaber, and Robert Williams

Bob Weaber, committee chair, called the meeting to order. Everyone introduced themselves. Bob discussed the agenda for the business meeting. Station reports will be given tomorrow.

Mark Thallman indicated that proceedings for the Genetic Prediction Workshop were e-mailed this afternoon. If you did not receive them, please let him know.

Maynard Hogberg, academic advisor, discussed the impact of this multi-state project. He discussed funding issues. There is a movement for animal ag research funding in the new Farm Bill. He will be retiring and so the committee will need to select a new academic advisor. July 1, 2014, is the possible date for his retirement.

Discussion was held on possible candidates for the chair and secretary of the committee. Wade Shafer was selected as chair and Lauren Hyde as secretary. The meeting will be held in Bozeman, Montana in the fall.

Discussion was held on potential candidates for academic advisor. Keith Bertrand, Ken Odde, Bruce Golden, Greg Lardy and others were suggested. Bob Weaber will contact Keith Bertrand to see if they would be willing to serve as academic advisor. If he is not able to, Bob will contact Greg Lardy to see if he would serve.

The agenda for the station reports were discussed. Additions were made to the agenda. A breakfast buffet will be served in the morning from 7:00 – 8:00 a.m. The meeting will start at 8:00 a.m. and then we will move to the convention center for the Genetic Prediction Workshop.

Minutes Attachment:

Attachment

Accomplishments

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.

Publications

Peer Reviewed Publications 1. Blair, E.E., J. Minick Bormann, D.W. Moser, and T.T. Marston. 2013. Relationship between residual feed intake and female reproductive measurements in heifers sired by high- or low-residual feed intake Angus bulls. Professional Animal Scientist. 29:46-50. 2. Bormann, J.M., D.W. Moser, and K.E. Bates. 2013. Factors affecting student performance in an undergraduate genetics course. J. Anim. Sci. 91:2438-2443. 3. Douthit, T.L., J.M. Kouba, and J.M. Bormann. 2013. A retrospective look at students enrolled in an upper-level horse science class: factors that affect classroom performance. J. Anim. Sci. 91:2976-2984. 4. Downey, E.D., R.G. Tait, M.S. Mayes, C.A. Park, J.F. Ridpath, D.J. Garrick, J.M. Reecy. 2013. An evaluation of circulating bovine viral diarrhea virus type 2 maternal antibody level and response to vaccination in Angus calves. Journal of Animal Science, 91:4440-4450. 5. Elzo, M. A., C. A. Martinez, G. C. Lamb, D. D. Johnson, M. G. Thomas, I. Misztal, D. O. Rae, J. G. Wasdin, and J. D. Driver. 2013. Genomic-polygenic evaluation for ultrasound and weight traits in Angus-Brahman multibreed cattle with the Illumina3k chip. Livest. Sci. 153:39-49. 6. Habier, D., R.L. Fernando and D.J. Garrick. 2013. Genomic-BLUP decoded: a look into the black box. Genetics 194:597-607. 7. Howard, J., Kachman, S., Nielsen, M., Mader, T., Spangler, M. (2013). The effect of Myostatin genotype on body temperature during extreme temperature events. Journal of Animal Science, 91, 3051-3058. 8. Howard, J., Kachman, S., Snelling, W., Pollak, J., Ciobanu, D., Kuehn, L., Spangler, M. (2013). Beef cattle body temperature during climatic stress: a genome-w ide association study. International Journal of Biometeorology. 9. Hulsman-Hanna, L.L., D.J. Garrick, C.A. Gill, A.D. Herring, P.K. Riggs, R.K. Miller, J.O. Sanders, D.G. Riley. 2013. Genome-wide association study of temperament and tenderness using different Bayesian approaches in a Nellore-Angus crossbred population. Livestock Science http://dx.doi.org/10.1016/j.livsci.2013.12.012. 10. Jeon, S. J., M. A. Elzo, N. DiLorenzo, G. C. Lamb, and K. C. Jeong. 2013. Evaluation of animal genetic and physiological factors that affect the prevalence of Escherichia coli O157 in cattle. PloS One 8:e55728. 11. Kachman, S.D., M.L. Spangler, G.L. Bennett, K.J. Hanford, L.A. Kuehn, W.M. Snelling, R.M. Thallman, M. Saatchi, D.J. Garrick, R.D. Schnabel, J.F. Taylor, E.J. Pollak. 2013. Comparison of molecular breeding values based on within and across-breed training in beef cattle. Genetics Selection Evolution 45:30. 12. Kizilkaya, K., R.G. Tait, D.J. Garrick, R.L. Fernando, and J.M. Reecy. 2013. Genome-wide association study of infectious bovine keratoconjunctivitis in Angus cattle. BMC Genetics, 14:23. 13. 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. 14. Leach, R. J., Chitko-McKown, C. G., Bennett, G. L., Jones, S. A., Kachman, S., Keele, J. W., Leymaster, K. A., Thallman, R. M., Kuehn, L. A. (2013). The change in differing leukocyte populations during vaccination to bovine respiratory disease and their correlations with lung scores, health records, and average daily gain. Journal of Animal Science, 91(8), 3564-3573. 15. Lourenco, D. A. L., I. Misztal, H. Wang, I. Aguilar, S. Tsuruta, and J. K. Bertrand. 2013. Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. J. Anim. Sci. 4090-4098. 16. Mateescu, R.G., D.J. Garrick, R.G. Tait, A.J. Garmyn, Q. Duan, Q. Liu, M.S. Mayes, A.L. van Eenennaam, D.L. VanOverbeke, G.G. Hilton, D.C. Beitz, and J.M Reecy. 2013. Genome-wide association study of concentrations of iron and other minerals in longissimus muscle of Angus cattle. Journal of Animal Science 91:3593-3600. 17. Mercadante, P. M., K. M. Bischoff, V. R. G. Mercadante, G. C. Lamb, M. A. Elzo, S. E. Johnson, D. O. Rae, J. V. Yelich, and A. D. Ealy. 2013. Subspecies differences in early fetal development and plasma pregnancy associated glycoprotein concentrations in cattle. J. Anim. Sci. 91:3693-3701. 18. Misztal, I., S. Aggrey, and B. Muir. 2013. Experiences with a Single-Step Genome Evaluation (ssGBLUP)" . J. Poultry Sci. 92:2530–2534. 19. Misztal, I., S. Tsuruta, I. Aguilar, A. Legarra, P. M. VanRaden, and T. J. Lawlor. 2013. Methods to Approximate Reliabilities in Single-Step Genomic Evaluation. J. Dairy Sci. 96:647–654. 20. Misztal, I., Z.G. Vitezica, A. Legarra, I. Aguilar, and A.A. Swan. 2013. Unknown-parent groups in single-step genomic evaluation. J. Anim. Breed. Genet. 130:252–258. 21. Nafikov, R.A., J.P. Schoonmaker, K.T. Korn, K. Noack, D.J. Garrick, K.J. Koehler, J. Minick-Bormann, J.M. Reecy, D.E. Spurlock, and D.C. Beitz. 2013. Association of polymorphisms in solute carrier family 27, isoform A6 (SLC27A6) and fatty acid-binding protein-3 and fatty acid-binding protein-4 (FABP3 and FABP4) with fatty acid composition of bovine milk. J. Dairy. Sci. 96:6007-6021. 22. Nafikov, R.A., J.P. Schoonmaker, K.T. Korn, K. Noack, D.J. Garrick, K.J. Koehler, J. Minick-Bormann, J.M. Reecy, D.E. Spurlock, and D.C. Beitz. 2013. Sterol regulatory element binding transcription factor 1 (SREBF1) polymorphism and milk fatty acid composition. J. Dairy Sci. 96:2605-2616. J. Dairy Sci. featured article April 2013. 23. Nielsen, M.K., M.D. MacNeil, J.C.M. Dekkers, D.H. Crews, Jr., T.A. Rathje, R.M. Enns, and R.L. Weaber. 2013. Review: Life-cycle, total-industry genetic improvement of feed efficiency in beef cattle: Blueprint for the Beef Improvement Federation. Professional Animal Scientist 2013 29:559-565. 24. Peters, S. O., K. Kizilkaya, D. J. Garrick, R. L. Fernando, J. M. Reecy, R. L. Weaber, G. A. Silver, and M. G. Thomas. 2013. Heritability and Bayesian genome-wide association study of first service conception and pregnancy in Brangus heifers. J. Anim. Sci. 91:605-612 25. Peters, S.O., K. Kizilkaya, D.J. Garrick, R.L. Fernando, E.J. Pollak, M. De Donato, T Hussain, and I.G. Imumorin. 2013. Application of multivariate heavy-tailed distributions to residuals in estimation of genetic parameters of growth traits in beef cattle. Journal of Animal Science 91:1552-1561. 26. Pravia, M.I., O. Ravagnola, J.I. Urioste, D.J. Garrick. 2013. Identification of breeding objectives using a bioeconomic model for a beef cattle production system in Uruguay. Livestock Science http://dx.doi.org/10.1016/j.livsci.2013.12.006 27. Saatchi, M., D.J. Garrick, R.G. Tait Jr., M.S. Mayes, M. Drewnoski, J. Schoonmaker, C. Diaz, D.C. Beitz, J.M. Reecy. 2013. Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattle. BMC Genomics 14:730. 28. Saatchi, M., J. Ward and D.J. Garrick. 2013. Impact of genetic relationships on the accuracy of direct genomic breeding values in Hereford beef cattle. Journal of Animal Science 91:1538-1551. 29. Song Y., J. Ahn, Y. Suh, M.E. Davis, and K. Lee. 2013. Identification of novel tissue- specific genes by analysis of microarray databases: A human and mouse model. PLoS ONE 8(5): e64483: 10.1371/journal.pone.0064483. 30. Tait, R.G., E.D. Downey, M.S. Mayes, C.A. Park, J.F. Ridpath, D.J. Garrick, J.M. Reecy. 2013. Evaluation of response to bovine viral diarrhea virus type 2 vaccinations and timing of weaning on yearling ultrasound body composition, performance, and carcass quality traits in Angus calves. Journal of Animal Science, 91:5466-5476. 31. Weber, K. L., R. M. Thallman, J. W. Keele, W. M. Snelling, G. L. Bennett, T. P. Smith, T. G. McDaneld, M. F. Allan, A. L. Van Eenennaam, and L. A. Kuehn. 2012. Accuracy of genomic breeding values in multi-breed beef cattle populations derived from deregressed breeding values and phenotypes. J Anim Sci 90: 4177-4190. 32. Zeng, J., A. Toosi, R.L. Fernando, J.C.M. Dekkers and D.J. Garrick. 2013. Genomic selection of purebred animals for crossbred performance in the presence of dominance gene action. Genetics Selection Evolution, 45:11. 33. Zhang, X., M.E. Davis, S.J. Moeller, and J.S. Ottobre. 2013. Effects of selection for blood serum IGF-I concentration on reproductive performance of female Angus beef cattle. J. Anim. Sci. 91:4104-4115. ? Peer-reviewed conference 1. Saatchi, M., and D.J. Garrick. 2013. Accuracies of genomic predictions in US beef cattle. Proceedings of the Association for the Advancement of Animal Breeding & Genetics 20th Conference, 20:207-210. ? Non-Peer Reviewed Publications (Trade, Conference Proceedings, Abstracts, Technical Reports, Station Reports, etc.) 1. Ahlberg, C.M., L.N. Schiermiester, J.T. Howard, C. Calkins, and M.L. Spangler. 2013. Genome Wide Association Study of protein and mineral content of beef from crossbred cattle. J. Anim. Sci. 91: E Suppl 2. 2. 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. 2013. Relationships among temperament, immune function, and carcass merit in beef cattle. Proceedings of the Western Section American Society Of Animal Science. 64: 169-173. 3. Bormann, J.M., D. Moser, and K. Bates. 2013. Factors impacting undergraduate student success in genetics. J. Anim. Sci. 91(Suppl. 2):58(Abstr.). 4. Bradford, H. L., D. W. Moser, J. M. Bormann, and R. L. Weaber. 2013. Genetic parameters for udder quality in Hereford cattle. J. Anim. Sci. Vol. 91, E-Suppl. 2. 142. (Abstr.) 5. Cockrum, R. R., S. E. Speidel, J. L. Salak-Johnson, C. C. L. Chase, R. K. Peel, R. L. Weaber, H. Van Campen, G. H. Loneragan, J. J. Wagner, P. Boddhireddy, M. G. Thomas, K. Prayaga, and R. M. Enns. 2013. Heritability and correlations of immune response parameters in cattle treated for bovine respiratory disease. J. Anim. Sci. Vol. 91, E-Suppl. 2. 70. (Abstr.) 6. Coy, B. Y., C. A. Martinez, C. Manrique, and M. A. Elzo. 2013. Genetic analysis of female weights via random regression and multiple trait models in a multibreed beef cattle population. J. Anim. Sci. 91(E-Suppl. 2):65. 7. Douthit, T.L., S.L. Schaake, J. M. Bormann, and M.H. McCammant. 2013. Blogging as a tool for assessment during an international experience. NACTA Journal. 57 (Suppl. 1):122(Abstr.). 8. Elzo, M. A., M. G. Thomas, C. A. Martínez, G. C. Lamb, D. D. Johnson, I. Misztal, D. O. Rae, J. G. Wasdin, and J. D. Driver. 2013. Genomic-polygenic evaluation of multibreed Angus-Brahman cattle for feed efficiency and postweaning growth using actual and imputed Illumina50k SNP genotypes. J. Anim. Sci. 91(E-Suppl. 2):72-73. 9. Fernando, R.L., D.J. Garrick. 2013. Bayesian regression as an alternative implementation of genomic-enhanced genetic evaluation. Proceedings of the Beef Improvement Federation 10th Genetic Prediction Workshop held in Kansas City 12-13 December 2103, pages 38-43. 10. Garrick, D.J. 2013. Bad news – they’re all carriers of something – broken genes in the beef business. Proceedings of the Beef Improvement Federation’s 45th Annual Research Symposium and Annual Meeting. 45:88-95. 11. Garrick, D.J. 2013. Genomic selection for the genetic evaluation of livestock – theory and practice. Proceedings of the XL reunion de la Asociacion Mexicana para la Produccion Animal y Seguridad Alimentaria, held in Villahermosa, Mexico, 22-24 May 2013. 12. Garrick, D.J. 2013. Status of genomics technologies. Proceedings of the Sociedade Brasileira de Zootechnia (SBZ) meeting held in Campinas 24 July, 2013. 13. Garrick, D.J., M. Saatchi. 2013. Experience in developing breed-specific predictions for GE-EPDs. Proceedings of the Beef Improvement Federation 10th Genetic Prediction Workshop held in Kansas City 12-13 December 2103, pages 24-34. 14. Garrick, DJ. 2013. They’re all carriers of something. October 2013 Angus Journal, pages 250-253. 15. Hyde, L., W. Shafer, S. McGuire, M. Saatchi, D.J. Garrick. 2013. American Simmental Association experience with incorporating genomics into genetic evaluation. Proceedings of the Beef Improvement Federation 10th Genetic Prediction Workshop held in Kansas City 12-13 December 2103, pages 10-14. 16. Hyde, L.R., W.R. Shafer, S.C. McGuire, M. Saatchi, D.J. Garrick. 2013. ASA experience with incorporating genomics into genetic evaluation. In: Proc. 10th BIF Genet. Prediction Workshop, Kansas City, MO. p. 10-14. 17. Jeon, S. J. , M. A. Elzo, N. DiLorenzo, G. C. Lamb, and K. C. Jeong. 2013. Animal genetic and physiological factors contribute to the prevalence of E. coli O157 in cattle. In Proc. 11th Annual Res. Symp. Anim. Mol. Cell Biol., p 20. 18. Kuehn, L. A., and R. M. Thallman. 2013. Across-breed EPD tables for the year 2013 adjusted to breed differences for birth year of 2011. In: Proceeding of the Beef Improvement Federation, Oklahoma City, OK. p 105-132. 19. Kuehn, L. A., and R. M. Thallman. 2013. Mean EPDs reported by different breeds. In: Proceeding of the Beef Improvement Federation, Oklahoma City, OK. p 133-137. 20. Otteman, K. L., J. M. Bormann, K. C. Olson, J. R. Jaeger, S. Johnson, B. Downey, D. M. Grieger, J. W. Waggoner, D. W. Moser, and R. L. Weaber. 2013. Phenotypic relationships between docility and reproduction in Angus heifers. J. Anim. Sci. Vol. 91, E-Suppl. 2. 143. (Abstr.) 21. Riley, D., M. Elzo, M. Garcia, R. Randel, and R. Vann. 2013. Multi-State Research – Four universities collaborate on Brahman research. The Amer. Brahman Rev. 4:44-45. 22. Saatchi, M, D Garrick. 2013. Accuracies of genomic prediction in beef cattle. Iowa State University Animal Industry Report 2013, A.S. leaflet R2771. http://www.ans.iastate.edu/report/air/2013pdf/R2771.pdf 23. Saatchi, M., D.J. Garrick. 2013. Improving genomic prediction in Simmental beef cattle using a multi-breed reference population. Proceedings Western Section, American Society of Animal Science, 64:174-177. https://www.asas.org/docs/default-source/western-section/proceedings.pdf?sfvrsn=0 . 24. Schaake, S.L., T.L. Douthit, J.M. Bormann, and M.H. McCammant. 2013. Comparison of student blogs at the beginning and end of an international experience. NACTA Journal. 57(Suppl. 1):122(Abstr.). 25. Schiermiester, L.N., C.M. Ahlberg, J.T. Howard, C. Calkins, and M.L. Spangler. 2013. Genome Wide Association Study of cholesterol and poly- and mono-unsaturated fatty acids of beef from crossbred cattle. J. Anim. Sci. 91: E Suppl 2. 26. Snelling, W., G. Bennett, M. Thallman, L. Kuehn, E.J. Pollak, S. Kachman, and M. Spangler. 2013. Prioritizing sequence polymorphisms for potential association with phenotype. J. Anim. Sci. 91: E Suppl 2. 27. Spangler, M. 2013. Selection for improved feed efficiency. Proceedings: Driftless Region Conference, Dubuque, IA. 28. Spangler, M.L. 2013. Current State of Integrating Genomics Into National Cattle Evaluation. Proceedings: DNA In Beef Cattle: where we've been, where we're at, and where we're going, Clay Center, NE. 29. Spangler, M.L. 2013. Genomic Predictors of Feed Efficiency. Proceedings: DNA In Beef Cattle: where we've been, where we're at, and where we're going, Clay Center, NE. 30. Spangler, M.L. 2013. Introduction to DNA Testing in Beef Cattle. Proceedings: South Dakota Seedstock Symposium, Sioux Falls, SD. 31. Spangler, M.L. 2013. Strengths and Weaknesses of Methods of Incorporating Genomics into Genetic Evaluation. Proceedings: Beef Improvement Federation Genetic Prediction Workshop, Kansas City, MO. 32. Speidel, S. E., R. R. Cockrum, J. L. Salak-Johnson, C. C. L. Chase, M. G. Thomas, K. G. Prayaga, R. K. Peel, R. L. Weaber, H. Van Campen, G. H. Loneragan, J. J. Wagner, and R. M. Enns. 2013. Cortisol, interleukin 8, and immunoglobulin G ratios predict treatment for bovine respiratory disease in feedlot cattle. J. Anim. Sci. Vol. 91, E-Suppl. 2. 486. (Abstr.) 33. Sun, X, R Fernando, D Garrick, J Dekkers. 2013. Genomic prediction using linkage disequilibrium and co-segregation. Iowa State University Animal Industry Report 2013, A.S. leaflet R2818. http://www.ans.iastate.edu/report/air/2013pdf/R2818.pdf 34. Vergara, O. D., M. A. Elzo, R. M. Patino, A. Calderon, and R. Almanza. 2013. Genetic parameters and genetic trends for preweaning growth in an Angus-Brahman cattle population in the Colombian tropics. J. Anim. Sci. 91(E-Suppl. 2):65-66. 35. Weaber, R.L. 2013. Beef cattle economic selection indices. In Proceedings of 2013 South Dakota Genomic Seedstock Symposium. June 27, 2013. Sioux Falls, SD. 36. Weaber, R.L. 2013. Improving beef system efficiency: A genetics perspective. In Proceedings of National Program for the Genetic Improvement of Feed Efficiency in Beef Cattle Stakeholder Meeting. June 26, 2013. US-Meat Animal Research Center, Clay Center, NE. 37. Weaber, R.L. and M. L. Spangler. 2013. Crossbreeding-one of the tools to increase profitability. Pages 34-57 in Proc. of the Beef Improvement Federation’s 45th Annual Research Symposium and Convention. Oklahoma City, OK. 38. Weng, Z, D Garrick, M Saatchi, R Schnabel, J Taylor. 2013. Impact of pedigree information and genome assembly errors on inference of SNP haplotypes in cattle. Iowa State University Animal Industry Report 2013, A.S. leaflet R2770. http://www.ans.iastate.edu/report/air/2013pdf/R2770.pdf 39. Zeng, J, A Toosi, R Fernando, J Dekkers, D Garrick. 2013. Genomic selection of purebred animals for crossbred performance in the presence of dominant gene action. Iowa State University Animal Industry Report 2013, A.S. leaflet R2772. http://www.ans.iastate.edu/report/air/2013pdf/R2772.pdf ? Presentations 1. Elzo, M. A. 2013. A discussion on the Senepol Multibreed Genetic Evaluation System. World Senepol Conference, Bogota, Colombia, July 18, 2013. Invited by the Senepol Cattle Breeders Association. 2. Elzo, M. A. 2013. Multibreed animal model and expected progeny differences as instruments for genetic improvement in cattle. A series of four conferences in four Colombian cities on the role of genetics in livestock competitiveness, July 22-26, 2013. Invited by the National Federation of Colombian Livestock Producers (FEDEGAN), Colombia. 3. Elzo, M. A., D. D. Johnson, D. O. Rae, K. C. Jeong, D. G. Riley, C. A. Martinez, R. A. Mir, J. G. Wasdin, J. D. Driver, and G. E. Dahl. 2013. Brahman Project Update. Brahman Field Day, Gainesville, FL, November 21, 2013. 4. Garrick, D.J. “Bad news: they’re all carriers of something – broken genes in the beef business” Invited plenary presentation to the 45th Annual Research Symposium of the Beef Improvement Federation held in Oklahoma City, 14 June 2013. 5. Garrick, D.J. “Bayesian regression and genomic prediction” – a 2 day short course held in UNESP Jaboticabal, 15-16 August 2013. 6. Garrick, D.J. “Bayesian regression and its application to genomic prediction” – a 5 day short course held in Davos, Switzerland from 8-12 July 2013. 7. Garrick, D.J. “Cattle genomics – where have we come from and where are we headed?” to GeneSeek scientists and advisory board members at a meeting in Lincoln, Nebraska on 12 September 2013. 8. Garrick, D.J. “Combined analysis of pedigree, phenotypic and genomic information” to American Hereford Association, at Kansas City, 3 March 2013. 9. Garrick, D.J. “Current status of genomic prediction and genome-wide association studies in livestock” at Genomic Selection and Genome-Wide Association Studies Workshop held at the XXII Plant and Animal Genome Conference in San Diego, 12 January 2013. 10. Garrick, D.J. “Current status of genomic prediction in livestock” to scientists at AgResearch Invermay, NZ on 29 April 2013. 11. Garrick, D.J. “Developments in genomics and genomic prediction” to Livestock Improvement Corporation staff at Newstead, 24 April 2013. 12. Garrick, D.J. “Genomic prediction and GWAS in livestock” a seminar to Institute of Veterinary, Animal and Biomedical Sciences at Massey University on 18 October 2013. 13. Garrick, D.J. “Genomic prediction and its status in US beef cattle breed associations” to the American Shorthorn Association meeting held at Iowa State University on 8 June 2013. 14. Garrick, D.J. “Genomic prediction for the American Hereford Association” to the American Hereford Association Educational Forum held in Kansas City 1 November 2013. 15. Garrick, D.J. “Genomic prediction in American Hereford and other US beef cattle breed associations” to a regional Hereford Association meeting held in Lebanon, Tennessee, 2 February 2013. 16. Garrick, D.J. “Genomic prediction in beef cattle and its immediate limitations in South Africa”, to a meeting of SA-Studbook and the South African Angus Association, held at the Studbook headquarters in Bloemfontein, South Africa, 5 December 2012. 17. Garrick, D.J. “Genomic prediction in beef cattle” at the NBCEC symposium on integrating DNA information into beef cattle production systems held in Kansas City, 5 March 2013. 18. Garrick, D.J. “Genomic prediction in the American Hereford Association” to the AHA Board meeting in Kansas City, 9 April 2013. 19. Garrick, D.J. “Genomic Prediction” – a 3 day short course organized by Ondokuz Mayis University in Samsun Turkey, from 3-5 July 2013. 20. Garrick, D.J. “Genomic Selection” – a 4 day short course organized by Genome Canada at University Laval, Quebec, from 25-28 June 2013. 21. Garrick, D.J. “How to validate and apply genomic selection in beef cattle” an invited presentation at a two-day workshop on genomic prediction held in Jaboticabal, Brazil, 12-13 August 2013. 22. Garrick, D.J. “Implementation of genomic information into US beef cattle national genetic evaluations” at the 20th Association for the Advancement of Animal Breeding and Genetics Conference held in Napier, New Zealand, 22 October 2013. 23. Garrick, D.J. “Improving Angus in the genomics era” an invited talk to the World Angus Forum held in Rotorua, New Zealand on 15 October 2013. 24. Garrick, D.J. “In search of missing heritability – genomic architecture of complex traits” to the Livestock Improvement Corporation research team at Waitomo, NZ on 22 April 2013. 25. Garrick, D.J. “In search of the missing heritability: architecture of complex traits”, an invited presentation at the Gordon Research Conference on Quantitative Genetics and Genomics held in Galveston, Texas, 19 February 2013. 26. Garrick, D.J. “New opportunities for plant and animal improvement – using genomics to improve populations” to Iowa Master Farmers’ Meeting held at Gateway, Ames, 8 September 2013. 27. Garrick, D.J. “New tools for genetic improvement” at the AgInnovation Field days held in Feilding, NZ on the 13 May 2013. 28. Garrick, D.J. “Overview of genomic prediction and its status in beef cattle” at the AgInnovation Field days held in Feilding, NZ on the 13 May 2013. 29. Garrick, D.J. “Practical experiences in developing breed-specific predictions for genome-enhanced EPDs” at the 10th Genetic Prediction Workshop held by the Beef Improvement Federation in Kansas City 13 December 2013. 30. Garrick, D.J. “Preliminary GWAS, QTL analysis and genomic selection” to the Annual meeting of the scientific and industry advisory board meeting for the National program for genetic improvement of feed efficiency in beef cattle, held in Kansas City, 4 March 2013. 31. Garrick, D.J. “Recent advances in cattle genomics – visions from quantitative genetics” an invited presentation at the 3rd International Workshop on Genomics Applied to Livestock held in Aracatuba, Brazil, 25 February 2013. 32. Garrick, D.J. “Role of the NBCEC in the genomic improvement of beef cattle” at the NBCEC symposium on integrating DNA information into beef cattle production systems held in Kansas City, 5 March 2013. 33. Garrick, D.J. “Status of genomics technologies” an invited presentation at Sociedade Brasileira de Zootechnia (SBZ) meeting held in Campinas 24 July, 2013. 34. Garrick, D.J. “Unifying GWAS and genomic prediction” an invited presentation at a workshop on Phenotype Prediction Using Genomic Data. Held at University of Florida in Gainesville on 19 August 2013. 35. Garrick, D.J. “Update on genomic predictions in Herefords” to the American Hereford Association Board Meeting held in Kansas City 1 November 2013. 36. Garrick, D.J. “Update on genomic projects and incorporation of marker information into genetic analysis” to the Emerging Technology subcommittee of the 45th Annual Research Symposium of the Beef Improvement Federation held in Oklahoma City, 14 June 2013. 37. Garrick, D.J. “Where is DNA marker technology heading for stud breeders in the USA and what applies to us in New Zealand?” at the AgInnovation Field days held in Feilding, NZ on the 12 May 2013. 38. Hyde, L.R. ASA experience with incorporating genomics into genetic evaluation. Beef Improvement Federation Genetic Prediction Workshop, Kansas City, MO. December 12, 2013. 39. Hyde, L.R. Report on incorporation of genomic predictions into national cattle evaluations. Beef Improvement Federation 45th Annual Research Symposium and Convention, Oklahoma City, OK. June 14, 2013. 40. Hyde, L.R. Using genetics in beef cattle production. AIMS Community College, Ft. Lupton, CO. March 26, 2013. 41. Johnson, D. D., and M. A. Elzo. 2013. Carcass characteristics and meat quality of beef from the Angus-Brahman multibreed project. Florida Beef Cattle Short Course, Gainesville, FL, May 8, 2013. 42. Kachman, S. , Beef Improvement Federation 45th Annual Research Symposium & Convention, Beef Improvement Federation, Oklahoma City, OK, "Estimated Individual Animal MBV Reliabilities and Their Association with Realized MBV Reliabilities", (June 14, 2013). 43. Kachman, S., 2013 Weight Trait Project Meeting, University of Nebrska, Clay Center, NE, "Incorporating Genomics Information into NCE: Technical Considerations", (June 27, 2013). 44. Kachman, S., Beef Improvement Federation: 10TH Genetic Prediction Workshop, Beef Improvement Federation, Kansas City. KS, "Individual Reliabilities of Molecular Breeding Values", (December 13, 2013). 45. Spangler, M.L. Selection for improved feed efficiency. Proceedings: Driftless Region Conference, Dubuque, IA. 46. Spangler, M.L. Current State of Integrating Genomics Into National Cattle Evaluation. DNA In Beef Cattle: where we've been, where we're at, and where we're going, Clay Center, NE. 47. Spangler, M.L. Genomic Predictors of Feed Efficiency. DNA In Beef Cattle: where we've been, where we're at, and where we're going, Clay Center, NE. 48. Spangler, M.L. Introduction to DNA Testing in Beef Cattle. South Dakota Seedstock Symposium, Sioux Falls, SD. 49. Spangler, M.L. Strengths and Weaknesses of Methods of Incorporating Genomics into Genetic Evaluation. Beef Improvement Federation Genetic Prediction Workshop, Kansas City, MO. 50. Spangler, M.L. Current State of Integrating Genomics Into National Cattle Evaluation. DNA In Beef Cattle: where we've been, where we're at, and where we're going, Clay Center, NE. 51. Spangler, M.L. Genomic Predictors of Feed Efficiency. DNA In Beef Cattle: where we've been, where we're at, and where we're going, Clay Center, NE. 52. Spangler, M.L. Introduction to DNA Testing in Beef Cattle. South Dakota Seedstock Symposium, Sioux Falls, SD. 53. Spangler, M.L. Strengths and Weaknesses of Methods of Incorporating Genomics into Genetic Evaluation. Beef Improvement Federation Genetic Prediction Workshop, Kansas City, MO. 54. Spangler, M.L. Adoption of Genomics: Extending Science to an Industry. Transatlantic conference, Lincoln, NE. 55. Spangler, M.L. Beef Cattle Genomics: Current Status and Future Directions. Select Sires Annual Sales Conference, Columbus, OH. 56. Spangler, M.L. Genetic Improvement for Forage Use. Oklahoma Master Cattlemen Summit, Stillwater, OK. 57. Spangler, M.L. From Discovery to Application: A Genomics Story. Oklahoma State University Animal Science Seminar, Stillwater, OK. 58. Spangler, M.L. The Weight Trait Project: What We’ve Learned. Illinois Charolais Field Day, Champaign, IL. 59. Spangler, M.L. Beef Sire Selection Using Genomics: Current State and Future Goals. Genex Annual Delegate Meeting, MN. 60. Spangler, M.L. Beef Cattle Efficiency: Definitions and Improvement Strategies. Angus Boot Camp, Clemson, SC. 61. Spangler, M.L. Improving Feedlot Performance: Feed Efficiency Grant Update. National Beef Cattle Evaluation Consortium Brown Bagger Webinar. 62. Spangler, M.L. National Program for the Genetic Improvement of Feed Efficiency in Beef Cattle: Aims and Current Results. Beef Improvement Federation Annual Convention, Oklahoma City, OK. 63. Spangler, M.L. It’s In Their Genes! Angus Raising the Bar Conference, Lincoln, NE. 64. Weaber, R.L. Beef cattle genetics and selection expert training. Hosted by KazAgroMarketing. November 26-29, 2012. Astana, Kazakhstan. 65. Weaber, R.L. Cowherd building strategies. Red Angus Association of America’s Manage for Profit Workshop. June 12, 2013. Oklahoma City, OK. 66. Weaber, R.L. Crossbreeding: one of the tools to increase profitability. 45th Annual Research Symposium and Convention. June 12-15, 2013. Oklahoma City, OK. (with Dr. Matt Spangler) 67. Weaber, R.L. Economic selection indexes. South Dakota Seedstock Symposium. June 28, 2013. Sioux Falls, SD. 68. Weaber, R.L. Feed efficiency and understanding its impact on production systems. National Angus Conference and Tour. October 3, 2012. Wichita, KS. (with Dr. Daryl Strohbehn) 69. Weaber, R.L. Feed efficiency in beef cattle: what is it, why is it important and how to improve it! Northwest Missouri Beef Producers Seminar. Maryville, MO. November 15, 2012. 70. Weaber, R.L. Genetics required to meet future beef trends. New York Beef Producers Annual Meeting and Educational Conference. Syracuse, NY. January 18, 2013. 71. Weaber, R.L. Genomically enhanced EPD and selection indexes. Charolais on Feed: The Genetics of Feed Efficiency Field Day. August 22, 2013. Urbana, IL. 72. Weaber, R.L. Improving beef system efficiency: a genetics perspective. 5th Annual DNA Technology in Beef Cattle Workshop and Feed Efficiency Project Stakeholder meeting. June 26, 2013. US-MARC, Clay Center, NE. 73. Weaber, R.L. National Program for the Genetic Improvement of Feed Efficiency in Beef Cattle. Beef Innovations Summit. July 15, 2013. Calgary, Alberta, Canada. 74. Weaber, R.L. National program for the genetic improvement of feed efficiency in beef cattle. Four State Beef Conference. January 28, 2013. Wamego, KS. 75. Weaber, R.L. Using genetics to meet the food demand of 2050. Ontario FarmSmart, January 19, 2013. University of Guelph, Guelph, Ontario, Canada. 76. Weaber, R.L. What is an Efficient Cow? Perspectives on Feed and Production Efficiency in the Beef Complex. Department of Animal and Poultry Sciences Seminar. University of Guelph. October, 29, 2012. Guelph, Ontario, Canada. 77. Weaber, R.L. What is an Efficient Cow? Perspectives on Feed and Production Efficiency in the Beef Complex. Department of Animal Sciences Seminar. University of Tennessee-Knoxville. October, 12, 2012 78. Weaber, R.L. What makes an efficient cow? Northeast Tennessee Beef Expo. Greeneville, TN, October 11, 2012. 79. Weaber, R.L. Who’s working for who? Perspectives on beef cattle feed and production efficiency. Ontario FarmSmart, January 19, 2013. University of Guelph, Guelph, Ontario, Canada.

Impact Statements

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.
Committee members are involved in educational and extension programs as evidenced by participation in the national online animal breeding graduate education program, and contributions to the national beef cattle extension Brown Bagger Series and the eXtension Beef Cattle Clearinghouse.

Date of Annual Report: 12/12/2014

Report Information

Annual Meeting Dates: 10/23/2014 - 10/24/2014
Period the Report Covers: 10/01/2013 - 09/01/2014

Participants

Jackie Atkins, American Simmental Association
Jenny Bormann, Kansas State University
Jared Decker, University of Missouri
Dorian Garrick, Iowa State University
Kathy Hanford, University of Nebraska
Lauren Hanna, North Dakota State University
Lauren Hyde, American Simmental Association
Steve Kachman, University of Nebraska
Larry Kuehn, US Meat Animal Research Center
Daniela Lourenco, University of Georgia
Ignacy Misztal, University of Georgia
Gota Morota, University of Nebraska
Dan Moser, Angus Genetics Inc.
Warren Snelling, US Meat Animal Research Center
Matt Spangler, University of Nebraska
Jennifer Thomson, Montana State University
Keith Bertrand, Administrator

Brief Summary of Minutes

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.

Accomplishments

Publications

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. Estimation of breed-specific heterosis effects for birth, weaning and yearling weight in cattle. In Proc. 10th World Congress on Genetics Applied to Livestock Production. Song Y., J. Ahn, Y. Suh, M. E. Davis, and K. Lee. 2013. Identification of novel tissue- specific genes by analysis of microarray databases: A human and mouse model. PLoS ONE 8(5): e64483: 10.1371/journal.pone.0064483. Spangler, M.L. 2014. Does Scrotal Circumference Impact Female Fertility?. Proceedings: Applied Reproductive Strategies in Beef Cattle, Stillwater, OK. Spangler, M.L. 2013. Strengths and Weaknesses of Methods of Incorporating Genomics into Genetic Evaluation. Proceedings: Beef Improvement Federation Genetic Prediction Workshop, Kansas City, MO. Spangler, M. L., J. Howard, S. Kachman, D. Ciobanu, L. Kuehn, M. Nielsen, and T. Mader. Exploratory Analysis of Genetic Variants Underlying Body Temperature in Beef Cattle. 2014. Proceedings of the Plant and Animal Genome XXII Conference, San Diego, CA. Spangler, M. L., and L. Schiermiester 2014. Commercially Available DNA Tests for the Genetic Improvement of Beef Cattle, Revision. NebGuide G1856 (Minor Revision). Spangler, M.L. and R. L. Weaber. 2014. Straightbred vs Crossbred. Proceedings: Florida Cattlemens Institute and Trade Show, Arcadia, FL. Su, H., R.L. Fernando, D.J. Garrick. 2014. Haplotype diversity of ten US beef cattle breeds captured by different definitions of haplotypes based on BovineSNP50K chip. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-posters/728_paper_9254_manuscript_512_0.pdf?sfvrsn=2 Sun, X., R.L. Fernando, D.J. Garrick, J.C.M. Dekkers. 2014. Improved accuracy of genomic prediction for traits with rare QTL by fitting haplotypes. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-proceedings-oral/209_paper_9178_manuscript_1682_0.pdf?sfvrsn=2 Thallman, R.M. , Dillon, J.A., Sanders, J.O., Herring, A.D., Kachman, S. D., & Riley, D. G. (2014, August). Large Effects on Birth Weight Follow Inheritance Pattern Consistent with Gametic Imprinting and X Chromosome. In10th World Congress on Genetics Applied to Livestock Production. Asas. Tizioto, PC, JE Decker, JF Taylor, RD Schnabel, MA Mudadu, FL Silva, GB Mourão, LL Coutinho, P Tholon, TS Sonstegard, AN Rosa, MM Alencar, RR Tullio, SR Medeiros, RT Nassu, GLD Feijó, LOC Silva, RA Torres, F Siqueira, RH Higa, LCA Regitano . Genome scan for meat quality traits in Nelore beef cattle. Physiological Genomics 45 (21), 1012-1020 Tokuhisa, K., S. Tsuruta, A. De Vries, J. K. Bertrand, and I. Misztal. 2014. Estimation of Regional Genetic Parameters for Mortality and 305-d Milk Yield of US Holsteins in the First Three Parities. J. Dairy Sci. 97:4497-4502. Toledo, H. O., J. M. Berruecos, C. G. Vasquez, F. J. Ruiz, and M. A. Elzo. 2014. Genetic and phenotypic trends for milk production under two data recording systems in Holstein cattle in Mexico. Mexican J. Anim. Sci. 5:471-485. Toledo, H. O., J. M. Berruecos, C. G. Vasquez, F. J. Ruiz, and M. A. Elzo. 2014. Estimation of genetic parameters for milk production under two data recording systems in Holstein cattle in Mexico. Mexican J. Anim. Sci. 5:443-457. Trenhaile, M.D., K. L. Lucot, J. K. Tart, J. W. Bundy, J. F. Thorson, E. M. Keuter, J. R. Wood, M. F. Rothschild, G. A. Rohrer, P. S. Miller, M. L. Spangler, C. A. Lents, R. K. Johnson, S. D. Kachman, and D. C. Ciobanu. 2014. AVPR1A alleles are pleiotropic sources of variation in age at puberty and reproductive longevity in sows. J. Anim. Sci. 92: E Suppl.2. Tsuruta, S., I. Misztal, D. A. L. Lourenco, and T. J. Lawlor. 2014. Assigning unknown parent groups to reduce bias in genomic evaluations of final score in US Holsteins. J. Dairy Sci.97: 5814-5821 Wang, H., I. Misztal, I. Aguilar, A. Legarra, R. L. Fernando, Z. Vitezica, R. Okimoto, T. Wing, R. Hawken, and W. M. Muir. 2014. Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens. Frontiers Genet. DOI=10.3389/fgene.2014.00134. Wang, H., I. Misztal and A. Legarra. 2014. Differences between genomic-based and pedigree-based relationships in a chicken population, as a function of quality control and pedigree links among individuals. J. Animal Breeding Genet. DOI: 10.1111/jbg.12109 Weaber, R.L., J.E. Beever, H.C. Freetly, D.J. Garrick S.L. Hansen, K.A. Johnson, M.S. Kerley, D.D. Loy, E. Marques, H.L. Neibergs, E.J. Pollak, R.D. Schnabel, C.M. Seabury, D.W. Shike, M.L. Spangler and J.F. Taylor.. 2014. Analysis of US Cow-Calf Producer Survey Data to Assess Knowledge, Awareness and Attitudes Related to Genetic Improvement of Feed Efficiency. In Proc. 10th World Congress on Genetics Applied to Livestock Production. Weaber, R.L., and M.L. Spangler. 2014. How DNA Testing Will Affect the Accuracy of EPD Information. Proceedings: Washington State University Beef Production Conference, Yakima, WA. Weng, X., R.R. Cockrum, N.F. Berge, J.M. Neary, F.B. Garry, T. Holt, H.D. Blackburn, S.E. Speidel, D.J. Garrick, R.M. Enns, M.G. Thomas. Genetic correlation and genome wide association study of pulmonary arterial pressure and post weaning growth traits in Angus heifers from a high altitude breeding program. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. https://asas.org/docs/default-source/wcgalp-posters/428_paper_9752_manuscript_1034_0.pdf?sfvrsn=2 Weng, Z., M. Saatchi, R.D. Schnabel, J.F. Taylor, D.J. Garrick. 2014. Recombination locations and rates in beef cattle assessed from parent-offspring pairs. Genetics, Selection, Evolution 46:34. White, K.L., J.M. Bormann, K.C. Olson, J.R. Jaeger, S.K. Johnson, B. Downey, D.M. Grieger, J.W. Waggoner, D.W. Moser, and R.L. Weaber. 2014. Relationships between docility and reproduction in Angus heifers. Kansas State University Beef Cattle Research Report. SRP1101:28-31. White, K.L., J.M. Bormann, D.W. Moser, and R.L. Weaber. 2014. Docility and heifers pregnancy estimates in Angus heifers. Kansas State University Beef Cattle Research Report. SRP1101:32-33. Yilmaz, A., M. E. Davis, and W. Zhao. 2014. Effect of the R406H substitution on the normal function of CHEK2. Advances in Bioscience and Biotechnology 5: 386-392. doi: 10.4236/abb.2014.54046. Yodklaew, P., S. Koonawootrittriron, M. A. Elzo, and T. Suwanasopee. 2014. Genome-wide Association Study for Milk Production and Age at First Calving of Dairy Cattle in Thailand. Thai J. Anim. Sci. 1 (Suppl. 1):302-304. Zhang, J., Y. Suh, Y. M. Choi, M. E. Davis, and K. Lee. 2014. Differential expression of Cyclin G2, Cyclin dependent kinase inhibitor 2C and peripheral myelin protein 22 genes during adipogenesis. Animal: An International Journal of Animal Bioscience 8:5, pp 800–809. doi:10.1017/ S1751731114000469. Zhang, X., M. E. Davis, S. J. Moeller, and J. S. Ottobre. 2013. Effects of selection for blood serum IGF-I concentration on reproductive performance of female Angus beef cattle. J. Anim. Sci. 91:4104-4115. Zhang, X., I. Misztal, M. Heidaritabar, J. W. M. Bastiaansen, R. Borg, R. L. Sapp, T. Wing, R. R. Hawken, D. A. L. Lourenco, Z. G. Vitezica. 2014. Prior genetic architecture impacting genomic regions under selection: an example using genomic selection in two poultry breeds. Livest. Sci. (Accepted)

Impact Statements

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.
Committee members are involved in educational and extension programs as evidenced by participation in the national online animal breeding graduate education program, and contributions to the national beef cattle extension Brown Bagger Series and the eXtension Beef Cattle Clearinghouse.

Date of Annual Report: 12/24/2015

Report Information

Annual Meeting Dates: 10/22/2015 - 10/23/2015
Period the Report Covers: 10/22/2014 - 10/23/2015

Participants

American Black Hereford Association: Tim Tarter and Mark Baxter
American Gelbvieh Association: Kelli Retallick and Kari White
American Simmental Association: Dr. Lauren Hyde and Dr. Wade Shafer
Colorado State University: Dr. Scott Speidel
Iowa State University: Dr. Rohan Fernando and Dr. Dorian Garrick
Kansas State University: Dr. Jenny Bormann, Will Fiske, and Lane Giess
Michigan State University: Dr. Rob Tempelman
Montana State University: Dr. Jennifer Thomson
North Dakota State University: Dr. Lauren Hanna, Jordan Hieber, Logan Hulst, and Haipeng Yu
Theta Solutions, LLC: Dr. Bruce Golden
University of Florida: Dr. Mauricio Elzo
University of Georgia: Dr. Daniela Lourenco and Heather Bradford
University of Kentucky: Dr. Darrh Bullock
University of Nebraska – Lincoln: Dr. Kathy Hanford, Dr. Steve Kachman, Dr. Gota Morota, Dr. Matt Spangler,
University of Wisconsin – Madison: Dr. Daniel Gianola
U.S. Meat Animal Research Center: Dr. Brittney Keel, Dr. Larry Kuehn, Dr. Warren Snelling, Dr. J. R. Tait, and Dr. Mark Thallman

Brief Summary of Minutes

The meeting was held on October 22-23, 2015 on the campus at North Dakota State University (NDSU) in Fargo, ND. The meeting was called to order by Lauren Hanna. Keith Bertrand, advisor to the committee joined the meeting via conference call to discuss station report requirements, committee renewal timeline, and general discussion of committee items. Following this discussion, presentations on current research efforts and findings were given as follows:

“Some alternative models for genomic evaluations” by Dorian Garrick
“Update on haplotype effects model” by Steve Kachman
“Using results from the USMARC Germplasm Evaluation Program to parametrize breed differences in multibreed evaluation” by Larry Kuehn
“Adjustments for discovery bias in genomic prediction” by Mark Thallman
“SNP chips and whole genome sequence data: Do they tell us the same story?” by Warren Snelling
“An alternative approach to modeling genetic merit of feed efficiency” by Rob Tempelman
“The impact of population stratification on genomic heritability” by Gota Morota

Following presentations, station reports were given by representatives of each institution or entity present. Attendees also were able to visit several research and education facilities located on NDSU’s campus to discuss current research and education efforts related to the committee’s objectives. The business meeting was held following station reports and facility visits. Discussion on continuation of the committee was held, with Scott Speidel and Larry Kuehn designated as writers for renewing the committee. The 2016 meeting will be held in St. Joseph, MO and hosted by American Angus Association via Dan Moser. At the end of discussion for the business meeting, Matt Spangler motion to adjourn the committee, which was seconded by Scott Speidel. The motion carried.

Accomplishments

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, eXtension Beef Cattle Clearinghouse, and eBEEF.org. Furthermore, new resources for commercial cattlemen are being considered, such as American Gelbvieh Association’s Smart Select Service and the implementation planning for Biometry Open Language Tools (BOLT) by the International Genetics Solutions members.

Publications

Presentations: Abdalla-Bozrayda, S., E.A.E. Abdalla, and M.A. Elzo. 2015. Genetic parameters and trends for dairy traits in Holstein Friesian under North-African conditions. ADSA- ASAS Joint Annual Meeting, Orlando, FL, July 12-16, 2015. Boldt, R., R.M. Enns, M.G. Thomas, and S.E. Speidel. 2015. Next Generation Red Angus Fertility Genetic Prediction. Red Angus Association of America Annual Convention. Grapevine, TX. September 9-11, 2015. 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. 2015. Genomic-polygenic and genomic predictions of direct and maternal effects for growth traits in a multibreed Angus-Brahman cattle population. ADSA- ASAS Joint Annual Meeting, Orlando, FL, July 12-16, 2015. Elzo, M.A. 2015. Brahman Project Update. Florida Cattlemen Association Research Committee, Santa Fe and Beef Research Units, FL, January 06, 2015. Enns, R.M. 2015. BIF feed intake guidelines revision. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Enns, R.M. 2015. Phenotypic data collection for bovine respiratory disease. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Fernando, R.L. 2014. Single-step Bayesian Regression: Extension to Multi-Trait Analyses. 2nd Joint ASAS-AAPA Meeting, Buenos Aires, Argentina. October 20-22, 2014. Fernando, R.L. 2014. Understanding BLUP. 2nd Joint ASAS-AAPA Meeting, Buenos Aires, Argentina. October 20-22, 2014. Garrick, D.J. 2014. Genetic and Genomic Improvement in Livestock. Ensminger School, La Molina University, Lima, Peru. November 5, 2014. Garrick, D.J. 2014. Current status of genomics applied to Beef Cattle improvement in North America. Interbeef Genomics Workshop, Dublin, Ireland. November 25, 2014. Garrick, D.J. 2014. An international perspective on the current and future application of genomics in farm animals. Irish Cattle Breeders Federation, Teagasc and Irish Farmers Journal Conference for Animal Genomics Users, Dublin, Ireland. November 26, 2014. Garrick, D.J. 2014. An international perspectives on genomics. Seminar to Teagasc researchers, Moorepark, Ireland. November 28, 2014. Garrick, D.J. 2014. Recent developments on theory and application of genomic prediction in (North American) beef cattle. National Swine Improvement Federation Annual Meeting, Lincoln, NE. December 5, 2014. Garrick, D.J. 2015. Enhanced Bioinformatics to implement genomic selection (e-BIGs). Agriculture and Food Research Initiative Annual Project Director Meeting, San Diego, CA. January 9, 2015. Garrick, D.J. 2015. Characterizing the upper limits of accuracy of genomic prediction for individual selection candidates. Livestock Improvement Corporation Scientific Meeting, Cambridge, New Zealand. March 24, 2015. Garrick, D.J. 2015. Toegevoegde voordele van diereverbetering en genomika. Elite Voermol/South African Stud Book Breeding Symposium, Leopards and Lace, Bloemfontein, South Africa. April 29, 2015. Garrick, D.J. 2015. Added benefits of animal recording and genomics. Project seminar at University of Pretoria, South Africa. May 4, 2015. Garrick, D.J. 2015. A pathway influencing haircoat and heat stress in cattle. Animal Science Seminar at University of Pretoria, South Africa. May 5, 2015. Garrick, D.J. 2015. An overview of the US and Midwest agricultural industries and their genetic improvement programs. Seminar to visiting UK agricultural student at Radakovich Cattle Company, Earlham, IA. May 31, 2015. Garrick, D.J. 2015. Genome-wide association studies, quantitative trait loci, and implementation of genomic prediction with breed associations. Seminar to investigators and scientific advisory board at USDA Feed efficiency grant, Beau Rivage, Biloxi, MS. June 8, 2015. Garrick, D.J. 2015. Single step genomic prediction for International Genetic Solutions (IGS) and their partners. IGS Sem-annual meeting, Beau Rivage, Biloxi, MS. June 9, 2015. Garrick, D.J. 2015. National Genetic and Genomic Evaluations – Present and Future. BIF Annual Meeting, Biloxi, MS. June 10, 2015. Garrick, D.J. 2015. Developments in Genomic Evaluation of Beef Cattle. Irish Cattle Breeding Federation Scientific Advisory Committee Meeting, Amsterdam. June 18, 2015. Garrick, D.J. 2015. Genomic prediction and its role in livestock improvement. Seminar at Nippon Veterinary and Life Science University, Tokyo, Japan. July 21, 2015. Garrick, D.J. 2015. Genomic prediction and its role in livestock improvement. International Sheep Genomics Consortium Meeting, Urumqi, China. August 24, 2015. Hulsman Hanna, L.L. 2015. Impact of frame size, efficiency, and longevity in the commercial beef cow herd project. Effertz Ranch near Bismarck, ND. June 5, 2015. Hulsman Hanna, L.L. 2015. NDSU Station Report. WERA-1 (Beef cattle breeding in the western region) Annual Meeting. Fort Keogh, MT. May 18-21, 2015. Hyde, L. 2015. BOLT: Biometry Open Language Tools – The Next Generation in Genomic Evaluation. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Hyde, L. 2015. Nuts and Bolts of Genetic Improvement: Genetic Model, Predicting Genetic Levels, Increase Commercial Profitability. American Simmental Association Fall Focus, Gettysburg, PA. September 2015. Hyde, L. 2015. Using Genetics in Beef Cattle Production. Aims Community College Course Lecture, Ft. Lupton, CO. October 2015. Jattawa, D., S. Koonawootrittriron, M.A. Elzo, and T. Suwanasopee. 2015. Accuracy of genomic imputation in a Thai multibreed dairy cattle population. ADSA- ASAS Joint Annual Meeting, Orlando, FL, July 12-16, 2015. Kachman, S.D. 2015. Genomic prediction model based on haplotype clusters. Joint Statistical Meetings. Seattle, WA. August 8-13, 2015. Kachman, S.D. 2015. Moving from SNP based associations towards QTL based effects. DNA Technology: Where we’ve been, where we are, and where we’re headed. Clay Center, NE. October 19-20, 2015. Kaniyamattam, K., M.A. Elzo, and A. De Vries. 2015. Development of a daily stochastic dynamic dairy simulation model including the 12 traits in the Net Merit Index. ADSA- ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Khemsawat, J., S. Koonawootrittriron, T. Suwanasopee, and M.A. Elzo. 2015. Cow-calf production performance under different management systems in Thailand. ADSA- ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Konkruea, T., S. Koonawootrittriron, T. Suwanasopee, and M.A. Elzo. 2015. Genetic and phenotypic trends for age at first calving and milk yield in daughters from imported and Thai Holstein sires. ADSA- ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Koonawootrittriron, S., M. Elzo, T. Suwanasopee, C. Chaimongkol, T. Sainui, T. Tongprapi, and T. Ralukmun. 2015. D.P.O. Sire & Dam Summary 2015. Dairy Farming Promotion Organization, Ministry of Agriculture and Cooperatives of Thailand, Bangkok. Laodim, T., S. Koonawootrittriron, M.A. Elzo, and T. Suwanasopee. 2015. Linkage disequilibrium in a Thai dairy cattle population with different Holstein fractions. ADSA- ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Martínez, C. A., K. Khare, and M.A. Elzo. 2015. Revisiting allelic frequencies estimation: A decision theory approach to derive Bayes, minimax and admissible estimators. ADSA- ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Mir, R., T.A. Weppelmann, M.A. Elzo, K.C. Jeong. 2015. Animal factors that influence the prevalence of Shiga toxin-producing Escherichia coli in beef cattle. Verocytotoxin-producing Escherichia coli (VTEC) Conference, Boston, MA. September 13-16, 2015. Morota, G. 2015. An application of MeSH enrichment analysis in livestock. ADSA-ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Morota, G. 2015. Quantitative genetics in the functional genomics era. Animal Breeding & Genetics seminar at Iowa State University, Ames, IA. March 3, 2015. Royer, A., C. Shivers, D. Riley, M. Elzo, and M. Garcia. 2015. An SNP association study evaluating Brahman and Brahman-influenced steers for growth and carcass traits. ADSA- ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Sae-tiao, T., S. Koonawootrittriron, T. Suwanasopee , and M.A. Elzo. 2015. Changes in temperature-humidity index and number of hot days related to heat stress of dairy cattle in Thailand. ADSA- ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Retallick, K.J., J.M. Bormann, R.L. Weaber, M.D. MacNeil, H.L. Bradford, H.C. Freetly, W.M. Snelling, R.M. Thallman, D.W. Moser, and L.A. Kuehn. 2015. Genetic variance and covariance components for feed intake, average daily gain, and postweaning gain in growing beef cattle. ASAS Midwest Section Annual Meeting, Des Moines, IA. March 15-18, 2015. Retallick, K.J., J.M. Bormann, R.L. Weaber, M.D. MacNeil, H.L. Bradford, H.C. Freetly, D.W. Moser, W.M. Snelling, R.M. Thallman, and L.A. Kuehn. 2015. Indices to improve feed efficiency. ADSA- ASAS Joint Annual Meeting, Orlando, FL, July 12-16, 2015. Retallick, K.J. 2015. Decoupling of feed intake and measurements of gain in feed efficiency trials to improve selection. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Spangler, M.L. 2015. Growing the Cowherd With Red Angus Germplasm. Red Angus BrainTrust Meeting, Denver, CO. January 10, 2015. Spangler, M.L. 2015. Sensitivity to Temperature Variation in Beef Cattle: Opportunities and Challenges for Selection. Plant and Animal Genome Conference, San Diego, CA. January 9 – 14, 2015. Spangler, M.L. 2015. Rebuilding Your Herd—Terminal and Maternal Breeding Programs. Farmers and Ranchers Cow/Calf College, Clay Center, NE. January 27, 2015. Spangler, M.L. 2015. The Future of Genetic Selection: Genetics to Fit Differing Environments. National Cattlemens Beef Association Cattlemens College, San Antonio, TX. February 3-4, 2015. Spangler, M.L. 2015. Technologies for Beef Cattle Selection: Old and New. Nebraska Cattlemen Affiliate Meeting, Bridgeport, NE. July 20, 2015. Spangler, M.L. 2015. Crossbreeding: The Science Behind It. Wulf Cattle Pre-Sale Seminar, Morris, MN. March 26, 2015. Spangler, M.L. 2015. Genetic Selection Tools In Beef Cattle: Economic Indexes. UNL Beef Webinar, Lincoln, NE. January 2015. Spangler, M.L. 2015. Genetic Selection Tools In Beef Cattle: EPDs and Antagonisms. UNL Beef Webinar, Lincoln, NE. January 2015. Spangler, M.L. 2015. BIF Feed Intake Guidelines Revision—Challenges. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Spangler, M.L. 2015. Efforts in Developing Decision Support Software for the Beef Industry. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Spangler, M.L. 2015. Improving the Ability to Utilize Multiple Breeds in Commercial Beef Production: Breed Specific Heterosis and Across Breed Calving Ease EPD Adjustment Factors. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Spangler, M.L. 2015. Quantitative Genetics and Genomics Research at UNL: Discovery and Application. Seminar to ESALQ Graduate Students, Parcicicaba, Brazil. Spangler, M.L. 2015. Beef Cattle Genetics. Chadron State Study Tour, North Platte, NE. Spangler, M.L. 2015. History of Beef Improvement. GSL Open House, Whitman, NE. Spangler, M.L. 2015. Emerging Beef Selection Tools. Schuler Customer Appreciation Event, Redington, NE. Spangler, M.L. 2015. EPDs, Genomics, and How the Beef Industry is Taking Part. Serbia Cockran Scholars, Lincoln, NE. Spangler, M.L. 2015. Genomics Update. Selection Sires Beef Committee Meeting, Columbus, OH. Spangler, M.L. 2015. Genetic Selection for Improved Feed Efficiency. DNA in Beef Cattle: Where we've been, where we are, and where we're headed, Clay Center, NE. Speidel, S.E. 2015. Heterosis effects on stayability. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Thallman, R. M. 2015. Thoughts on Cattle Breeding. Seedstock Think Tank, Denver, CO. January 14, 2015. Thallman, R. M. 2015. Accounting for discovery bias in genomic EPD. Weight Traits Project Symposium, Clay Center, NE. October 19, 2015. Weaber, R.L. 2015. Crossbreeding strategies: maternal and terminal crossing systems. Range Beef Cow Symposium, Loveland, CO. Weaber, R.L. 2015. Development of genomically enhanced EPD v2.0. Kansas Limousin Association Meeting. Manhattan, KS. Weaber, R.L. 2015. Breeding for the future. National Animal Interest Alliance Annual Meeting. Orlando, FL. Weaber, R.L. 2015. Utilization of heterosis in the beef value chain. Zimbabwe Herdbook Beef School. Harare, Zimbabwe. Weaber, R.L. 2015. What commercial producers can do to improve reproductive efficiency? Zimbabwe Herdbook Beef School. Harare, Zimbabwe. Weaber, R.L. 2015. Addressing fertility using genetics and management. Zimbabwe Herdbook Beef School. Harare, Zimbabwe. Weaber, R.L. 2015. What commercial producers can do to improve reproductive efficiency? Aldam Stockman’s School. Aldam, South Africa. Weaber, R.L. 2015. Addressing fertility using genetics and management. Aldam Stockman’s School. Aldam, South Africa. Weaber, R.L. 2015. Practical application of genomics in the USA. Aldam Stockman’s School. Aldam, South Africa. Weaber, R.L. 2015. Latest updates to National Cattle Evaluation. National Beef Cattle Evaluation Consortium Brown Bagger Webinar Series. Weaber, R.L. and M. L. Spangler. 2015. Feed intake guideline challenges. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Weaber, R.L. 2015. Current DNA technology. BIF Annual Meeting, Biloxi, MS. June 9-12, 2015. Weaber, R.L. 2015. The value and importance of using genomically enhanced EPD in beef cattle selection. Idaho Range and Livestock Symposium, Marsing, Burley and Idaho Falls, ID. Wongpom, B., S. Koonawootrittriron, M.A. Elzo, and T. Suwanasopee. 2015. Genomic-polygenic evaluation for milk yield and fat yield in a multibreed dairy cattle population in Central Thailand. ADSA- ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Yodklaew, P., S. Koonawootrittriron, M.A. Elzo, and T. Suwanasopee. 2015. Association between genomic SNPs and dairy production traits in Thai multibreed dairy cattle. ADSA- ASAS Joint Annual Meeting, Orlando, FL. July 12-16, 2015. Referred Publications: 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, and B. Gredler. 2014. Evaluation of variant identification methods for whole genome sequencing data in dairy cattle. BMC Genomics 15:948 Bailey, D.W., S. Lunt, A. Lipka, M.G. Thomas, J.F. Medrano, A. Canovas, G. Rincon, M.B. Stephenson, and D. Jensen. 2015. Genetic influence on cattle grazing distribution: association of genetic markers with terrain use in beef cows. Range Ecol. Mgt. 68:142-149. Boles, J. A., K.S. Kohlbeck, M.C. Meyers, K.A. Perz, K.C. Davis, J. Thomson. 2015. The use of blood lactate concentration as an indicator of temperament and its impact on growth rate and tenderness of steaks from Simmental x Angus steers. Meat Science 103:68-74. Boyd, B. M., S.D. Shackelford, K.E. Hales, T.M. Brown-Brandl, M.L. Bremer, M.L. Spangler, T. L. Wheeler, D. A. King, and G.E. Erickson. 2015. Effects of shade and feeding zilpaterol hydrochloride to finishing steers on performance, carcass quality, heat stress, mobility, and body temperature. J. Anim. Sci. In Press. Bradford, H.L, D.W. Moser, J. Minick Bormann, and R.L. Weaber. 2015. Estimation of genetic parameters for udder traits in Hereford cattle. J. Anim. Sci. 93:2663-2668. Buchanan, J.W., J.M. Reecy, D.J. Garrick, Q. Duan, Q. Liu, D.C. Beitz, and R.G. Mateescu. 2015. Genetic parameters and genetic correlations among triacylglycerol and phospholipid fractions in Angus cattle. J. Anim. Sci. 93:522-528 Canovas, A., A. Reverter, K.L. DeAtley, R.L. Ashley, M.L. Colgrave, M.R.S. Fortes, A. Islas-Trejo, S. 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Sci. 93(Suppl. S3):643. Garrick, D.J. 2014. Genetic and genomic improvement in livestock. Proc. Of Ensminger School in Advancing Modern Animal Livestock, pg. 27-28. Lima, Peru. November 5-7, 2014. Hernández, A., M. Sánchez-Castro, R. Zamorano-Algandar, P. Luna-Nevárez, G. Rincón, J.F. Medrano, S.E. Speidel, R.M. Enns, and M.G. Thomas. 2015. Genotypes within the prolactin and GH-IGF1 pathways association with 305 d milk yield in heat stressed lactating Holstein cows in Sonora, Mexico. Proc. West. Sect. Am. Soc. Anim. Sci. 66:114-118. Jattawa, D., S. Koonawootrittriron, M.A. Elzo, and T. Suwanasopee. 2015. Accuracy of genomic imputation in a Thai multibreed dairy cattle population. J. Anim. Sci. 93(Suppl. S3):650. Kaniyamattam, K., M.A. Elzo, and A. De Vries. 2015. Development of a daily stochastic dynamic dairy simulation model including the 12 traits in the Net Merit Index. J. Anim. Sci. 93(Suppl. S3):351. Khemsawat, J., S. Koonawootrittriron, T. Suwanasopee , and M.A. Elzo. 2015. Cow-calf production performance under different management systems in Thailand. J. Anim. Sci. 93(Suppl. S3):400. Konkruea, T., S. Koonawootrittriron, T. Suwanasopee , and M. A. Elzo. 2015. Genetic and phenotypic trends for age at first calving and milk yield in daughters from imported and Thai Holstein sires. J. Anim. Sci. (Suppl. S3):345. Krehbiel, B.C., S. Paiva, C. Wilson,S. Ericsson, J. Boatright, M.G. Thomas, and H.D. Blackburn. 2015. Untapped genetic variability in Herefords: Implications for climate change. Proc. West. Sect. Am. Soc. Anim. Sci. 66:122. Kuehn, L.A., and R.M. Thallman. 2015. Across-breed EPD tables for the year 2015 adjusted to breed differences for birth year of 2013. In: Proceeding of the Beef Improvement Federation, Biloxi, MS. June 9-12, 2015. p 97-124. Kuehn, L.A., and R.M. Thallman. 2015. Mean EPDs reported by different breeds. In: Proceeding of the Beef Improvement Federation, Biloxi, MS. June 9-12, 2015. p 92-96. Laodim, T., S. Koonawootrittriron, M.A. Elzo, and T. Suwanasopee. 2015. Linkage disequilibrium in a Thai dairy cattle population with different Holstein fractions. J. Anim. Sci. 93(Suppl. S3):651. Martínez, C.A., K. Khare, and M.A. Elzo. 2015. Revisiting allelic frequencies estimation: A decision theory approach to derive Bayes, minimax and admissible estimators. J. Anim. Sci. 93(Suppl. S3):579. Mir, R., T.A. Weppelmann, M.A. Elzo, and K.C. Jeong. 2015. Animal factors that influence the prevalence of Shiga toxin-producing Escherichia coli in beef cattle. Verocytotoxin-producing Escherichia coli (VTEC) Conference, Boston, MA. September 13-16, 2015. Pariacote, F.A. and M. Spangler. 2015. Estimates of genetic parameters for calving ease and birth weight in a commercial crossbred population of beef cattle. XVII Venezulian Congress on Animal Production. Retallick, K.J., J.M. Bormann, R.L. Weaber, M.D. MacNeil, H.L. Bradford, H.C. Freetly, W.M. Snelling, R.M. Thallman, D.W. Moser, and L.A. Kuehn. 2015. Genetic variance and covariance components for feed intake, average daily gain, and postweaning gain in growing beef cattle. J. Anim. Sci. 93(E-Suppl. 2):10(Abstr.). Retallick, K.J., J.M. Bormann, R.L. Weaber, M.D. MacNeil, H.L. Bradford, H.C. Freetly, D.W. Moser, W.M. Snelling, R.M. Thallman, and L.A. Kuehn. 2015. Indices to improve feed efficiency. J. Anim. Sci. 93(Suppl. s3):572(Abstr.). Royer, A., C. Shivers, D. Riley, M. Elzo, and M. Garcia. 2015. An SNP association study evaluating Brahman and Brahman-influenced steers for growth and carcass traits. J. Anim. Sci. 93(Suppl. S3):644. Saad, H.M., R.M. Enns, M.G. Thomas, and S.E. Speidel. 2015. Performance losses due to selection for low birth weight versus high calving ease: A simulation study in beef cattle. Proc. West. Sect. Am. Soc. Anim. Sci. 66:129-132. Sae-tiao, T., S. Koonawootrittriron, T. Suwanasopee, and M.A. Elzo. 2015. Changes in temperature-humidity index and number of hot days related to heat stress of dairy cattle in Thailand. J. Anim. Sci. 93(Suppl. S3):98. Spangler, M.L. 2015. Sensitivity to temperature variation in beef cattle: Opportunities and challenges for selection. Proc. Plant and Animal Genome XXII Conference, San Diego, CA. Wongpom, B., S. Koonawootrittriron, M.A. Elzo, and T. Suwanasopee. 2015. Genomic-polygenic evaluation for milk yield and fat yield in a multibreed dairy cattle population in Central Thailand. J. Anim. Sci. 93(Suppl. S3):345. Yodklaew, P., S. Koonawootrittriron, M.A. Elzo, and T. Suwanasopee. 2015. Association between genomic SNPs and dairy production traits in Thai multibreed dairy cattle. J. Anim. Sci. 93(Suppl. S3):346. Zeng, X., T.N. Holt, R.M. Enns, S.E. Speidel, and M.G. Thomas. 2015. Angus cattle at high altitude: Relationship between age and pulmonary arterial pressure. Proc. West. Sect. Am. Soc. Anim. Sci. 66:119-121. Extension/Non-Referred/Trade Articles: Bullock, D. 2015. Genetic Practices to Improve Beef Cattle Reproduction. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Bullock, D. 2015. Mating Systems in Commercial Beef Cattle Operations. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Bullock, D., and M. Rolf. 2015. Beef Sire Selection Recommendations. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Dahlen, C., R. Schmidt, L. Hulsman Hanna, and K. Ringwall. 2015. Understanding Expected Progeny Differences. NDSU Extension Bulletin AS1770. https://www.ag.ndsu.edu/publications/landing-pages/livestock/expected-progeny-differences-as-1770. Accessed 21 October 2015. Decker, J. 2015. The Random Shuffle of Genes: Putting the E in EPD. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Decker, J. 2015. Decreasing Generation Interval to Increase Genetic Progress. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Decker, J.E. 2015. GENOMICS: Where are we going? Charolais Journal June/July 2015, pages 28-32. Decker, J.E. 2015. Genomic Prediction: What Can It Do For Your Clients? Veterinary Update published by MWI, pages 8-10. Decker, J.E. 2015. Genomic Prediction: What Can It Do For Your Farm or Ranch? Producer Outlook published by MWI, pages 18-20 Hanna, L.L. and D.S. Buchanan. 2014. The Role of a Black Hereford Breeder. Editor: J. Hoagland. American Black Hereford Association, Leavenworth, KS. 3(2):5-8. Hulsman Hanna, L.L., K. Swanson, K. Vonnahme, C. Dahlen, J. Dhuyvetter, R. Maddock, G. Stokka, K. Ringwall. 2015. Long-term cow longevity and efficiency project under way. The Ranch Hand, NDSU Extension Service, Fargo, ND. 21(9):7-8. MacNeil, M.D., R.M. Enns, S. Newman, M.K. Nielsen, M.C. Mokolobate, S.E. Speidel, M.M. Scholtz and J.P. Cassady. 2015. Background for guidelines to facilitate enhanced genetic potentials for cow efficiency. Proc. Beef Improvement Fed. Pp. 69-77 Ramsay, J.K., L.L. Hulsman Hanna, and K.A. Ringwall. 2014. Enhancing the identification of error checking in the Cow Herd Appraisal Performance Software (CHAPS) benchmarks using SAS procedures. 2014 North Dakota Beef Report pg 33-36. Retallick, K.J., J. Minick Bormann, R.L. Weaber, M.D. MacNeil, H.L. Bradford, H.C. Freetly, W.M. Snelling, M. Thallman, D.W. Moser, and L. Kuehn. 2015. Genetic variance and covariance components for feed intake, average daily gain, and post-weaning gain in growing beef cattle. Kansas Agricultural Experiment Station Research Reports. Vol. 1: Iss. 1. Rolf, M. 2015. Color Patterns in Crossbred Beef Cattle. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Rolf, M. 2015. DNA Sample Collection. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Spangler, M. 2015. Value of Collecting Phenotypes. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Spangler, M. 2015. EPD Basics and Definitions. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Van Eenennaam, A. 2015. Genetic Defects. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Van Eenennaam, A. 2015. Managing Genetic Defects. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Van Eenennaam, A. 2015. What is Gene Editing?. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Weaber, R. 2015. Beef Cattle Economic Selection Indices. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015). Weaber, R., and M. Spangler. 2015. How DNA Testing Will Affect the Accuracy of EPD Information. eBeef.org Fact Sheet. http://ebeef.org/ (Accessed 9 December 2015).

Impact Statements

2. Committee members are involved in educational and extension programs as evidenced by participation in the national online animal breeding graduate education program, and contributions to the national beef cattle extension Brown Bagger Series, eXtension Beef Cattle Clearinghouse, and eBEEF.org.

Date of Annual Report: 01/03/2017

Report Information

Annual Meeting Dates: 10/26/2016 - 10/28/2016
Period the Report Covers: 10/24/2015 - 10/28/2016

Participants

Tim Tarter, American Black Hereford Association
Kari white, American Gelbvieh Association
Dr. Lauren Hyde, American Simmental Association
Dr. Dan Moser, Dr. Stephen Miller, Kelli Retallick, Dr. Lizhen Wang, Lou Ann Adams, and Ryan Ruppert, Angus Genetics Incorporated
Dr. Scott Speidel, Colorado State University
Dr. Mahdi Saatchi, International Genetic Solutions
Dr. Rohan Fernando, Iowa State University
Dr. Jenny Bormann, Dr. Bob Weaber, Dr. Megan Rolf, Cashley Ahlberg, Dustin Aheirn and Lane Giess, Kansas State University:
John Genho, Livestock Genetic Services
Dr. Jennifer Thompson and Jordan Hieber, Montana State University
Joe Epperly, North American Limousin Foundation
Dr. Mehdi Sargolzaei, Semex Canada
Dr. Daniela Lourenco and Heather Bradford, University of Georgia
Dr. Kathy Hanford, Dr. Steve Kachman, and Dr. Gota Morota, University of Nebraska – Lincoln
Dr. Brittney Keel, Dr. Larry Kuehn, Dr. Warren Snelling, and Dr. J. R. Tait, U.S. Meat Animal Research Centert

Brief Summary of Minutes

Minutes Attachment:

2016 NCERA-225 Annual Meeting Minutes.docx

Accomplishments

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, eXtension Beef Cattle Clearinghouse, and eBEEF.org. Meetings Attended: American Dairy Science Association (ADSA) and American Society of Animal Science (ASAS) Joint Annual Meeting. Salt Lake City, UT. July 19-23, 2016. ASAS Midwest Section Annual Meeting. Des Moines, IA. March 12 -16, 2016. Beef Improvement Federation (BIF) Annual Meeting. Manhattan, KS. June 14 - 17, 2016. 35th International Conference on Animal Genetics, Salt Lake City, UT, July 23 - 27, 2016. Plant & Animal Genome (PAG) Annual Meeting. San Diego, CA. January 9 - 13, 2016.

Publications

Impact Statements

Committee members are involved in educational and extension programs as evidenced by participation in the national online animal breeding graduate education program, and contributions to the national beef cattle extension Brown Bagger Series, eXtension Beef Cattle Clearinghouse, and eBEEF.org.