Matt Spangler

Appointment:
60% Extension, 10% Teaching, 30% Research

Education
2003 - 2006; The University of Georgia, Ph.D. 2006
2001 - 2003; Iowa State University, M.S. 2003
1999 - 2001; Kansas State University, B.S. 2001
1997 - 1999; Butler County Community College, A.S. 1999

Employment History
Professor of Animal Science/Extension Beef Genetics Specialist, University of Nebraska-Lincoln (2018-present)
Associate Professor of Animal Science/Extension Beef Genetics Specialist, University of Nebraska-Lincoln (2012-2018)
Assistant Professor of Animal Science/Extension Beef Genetics Specialist, University of Nebraska-Lincoln (2008-2012)
Assistant Professor of Animal Science, University of Tennessee at Martin (2007)

Selected Synergistic Activities:

Academic
Journal of Animal Science Editorial Board Member, Animal Genetics Section, 2007-2011.
Section editor, Journal of Animal Science, 2016-2019
Associate Editor of Frontiers in Genetics - Livestock Genomics, 2019-present

Industry
DNA Genetics Advisory Board, 2016-present
American Gelbvieh Association technical advisory board, 2016-present
Beef Improvement Federation Guidelines Writing Committee, 2018-present
Beef Improvement Federation Board of Directors, 2020-present
Beef Improvement Federation Selection Decisions Committee Chair, 2020-present

Honors and Awards Received
Cattlemen Business Weekly, Top 10 Beef Industry Leaders Under 40. 2011.
Outstanding New Specialist, Nebraska Cooperative Extension Association, 2011.
Holling Family Junior Faculty Teaching Award, UNL College of Agriculture and Natural Resources, 2012.
Wendell Burgher Beef Industry Award, UNL Institute of Agriculture and Natural Resources, 2013-2015.
Nebraska Beef Industry Endowment Award, Nebraska Cattlemen Research and Education Foundation, 2013 & 2014.
Beef Improvement Federation Appreciation Award, Beef Improvement Federation, 2014.
Outstanding Young Extension Specialist Award, Midwest American Society of Animal Science, 2015.
Beef Improvement Federation Continuing Service Award, Beef Improvement Federation, 2017.
Gamma Sigma Delta Award for Excellence in Extension, UNL Gamma Sigma Delta, 2018

Professional and Honorary Societies
American Society of Animal Science (ASAS)
Gamma Sigma Delta
Nebraska Cattlemen

Teaching Responsiblities:

Primary Instructor
Beef Cattle Merchandising
Linear Models in Animal Breeding
History and Perspectives in Animal Breeding

Other Teaching Activities
UNL Teaching Herd Coordinator, January 2008 – Present
Quantitative Genetics and Genomics Shortcourses: University of Sao Paulo (ESALQ), Brazil, 2016 (co-taught with Dr. Morota), 2018 (co-taught with Drs. Morota and Howard), 2019 (co-taught with Dr. Morota); CEIEPAA of the National Autonomus University of México in Tequisquiapan, Querétaro, 2019.

Honors and Awards of Graduate Students Under My Direction
CAB Colvin Graduate Scholarship (2020)
Pork Checkoff Student Travel Award for the National Swine Improvement Federation meetings (2019)
Widaman Distinguished Graduate Fellowship Award, UNL Institute of Agriculture and Natural Resources, 2019
BIF Roy Wallace Scholarship, 2018, 2020
Larrick/Whitmore Travel Scholarship, UNL, 2012 (1), 2014 (2), 2016 (1), 2018 (1)
UNL Graduate College Travel Grant, 2016
Frank Baker Memorial Essay Contest, Beef Improvement Federation, 2012, 2016 (2), 2020
Shear Miles Fellowship, UNL Institute of Agriculture and Natural Resources, 2012
Gamma Sigma Delta, inducted for membership, 2012 (1), 2016 (1), 2017 (1), 2020 (2)
BIF Reg. Scholarship, 2013 (2)
American Association of Animal Science Annual Meeting Presidents Pick Abstract, 2013, 2020

Selected Publications

1. Kachman, S.D., M. L. Spangler, G. L. Bennett, K. J. Hanford, L. A. Kuehn, W. M. Snelling, R. M. Thallman, M. Saatchi, and D. J. Garrick, R.D. Schnabel, J.F. Taylor, and E. J. Pollak. 2013.  Comparison of molecular breeding values based on within- and across-breed training in beef cattle. Genetics Sel. Evol. 45:30.
2. Howard, J.T, S. D. Kachman, M.K. Nielsen, T. L. Mader, and M. L. Spangler. 2013. The effect of Myostatin genotype on body temperature during extreme temperature events. J. Anim. Sci. 91: 3051-3058.
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.
4. Alhberg, 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.
5. Schiermiester, L.N., R.M. Thallman, L.A. Kuehn, S.D. Kachman, and M.L. Spangler. 2015. Estimation of breed-specific heterosis effects for birth, weaning and yearling weight in cattle. J. Anim. Sci. 93: 46-52. (One of the top 10 cited articles in JAS in 2015).
6. Ahlberg, C.M., L.A. Kuehn, R.M. Thallman, S.D. Kachman, W.M. Snelling, and M.L. Spangler. 2016. Breed effects and genetic parameter estimates for calving difficulty and birth weight in a multi-breed population. J. Anim. Sci. 94: 1857-1864.
7. Ochsner, K.P., M.D. MacNeil, R.M. Lewis, and M.L. Spangler. 2017. Economic selection index development for Beefmaster cattle I: Terminal breeding objective. J. Anim. Sci. 95:1063-1070.
8. Ochsner, K.P., M.D. MacNeil, R.M. Lewis, and M.L. Spangler. 2017. Economic selection index development for Beefmaster cattle II: General-purpose breeding objective. J. Anim. Sci. 95:1913-1920.
9. Lee, J., S. D. Kachman, and M. L. Spangler. 2017. The impact of training strategies on the accuracy of genomic predictors in U.S. Red Angus cattle. J. Anim. Sci. 95:3406-3414.
10. Paz, Henry A., Kristin E. Hales, James E. Wells, Larry A. Kuehn, Harvey C. Freetly, Elaine D. Berry, Michael D. Flythe, Matthew L. Spangler, and Samodha C. Fernando. 2018.  Rumen bacterial community structure impacts feed efficiency in beef cattle. J. Anim. Sci. 96:1045-105.
11. Schweer, K.R., S.D. Kachman,  L.A. Kuehn, H.C. Freetly, E.J. Pollak, and M.L. Spangler. 218. Genome-wide association study for feed efficiency traits using SNP and haplotype models. J. Anim. Sci. 96:2086-2098.
12. Howard, J.T., T. A. Rathje, C. E. Bruns, D. F Wilson-Wells, S. D. Kachman, and M. L. Spangler. 2018. The impact of truncating data on predictive ability for single-step genomic best linear unbiased prediction. J. Anim. Breed. and Genetics 135: 251-262.
13. Howard, J.T., T. A. Rathje, C. E. Bruns, D. F Wilson-Wells, S. D. Kachman, and M. L. Spangler. 2018. The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction. J. Anim. Sci. 96: 4532-4542.
14. See, Garrett M., Tasha R. Gruhot, Matthew L. Spangler, and Ronald M. Lewis. 2018. Longitudinal analysis of weight showed little relationship with age at puberty in gilts. J. Anim. Sci. 96:4959-4966.
15. Zimmermann, Madeline J., Larry A. Kuehn, Matthew L. Spangler, R. Mark Thallman, Warren M. Snelling, and Ronald M. Lewis. 2019. Comparison of different functions to describe growth from weaning to maturity in crossbred beef cattle. J. Anim. Sci. 97:1523-1533.
16. Baller, Johnna L., Jeremy T. Howard, Stephen D. Kachman, and Matthew L. Spangler. 2019.  The impact of clustering methods for cross-validation on the accuracy of genomic predictions. J. Anim. Sci. 97:1534-1549.
17. Sollero, Bruna, P. Jeremy T. Howard, and Matthew L. Spangler. 2019. The impact of reducing the frequency of animals genotyped at higher density on imputation and prediction accuracies using ssGBLUP. J. Anim. Sci. 97:2780-2792.
18. See, G. M., M. D. Trenhaile-Grannemann, M. L. Spangler, D. C. Ciobanu, and B. E. Mote. 2019. A genome-wide association study for gestation length in swine (short communication). Anim. Genet. 50:539:542.
19. Johnna L. Baller, Stephen D. Kachman, Larry A. Kuehn, and Matthew L. Spangler. 2020. Genomic prediction using pooled data in a single-step GBLUP framework. J. Anim. Sci. (accepted)