12/09/2014

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

06/30/2014

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

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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.

12/12/2014

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)

12/24/2015

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. Lehnert, L. Porto-Neto, G. Rincon, G.A. Silver, W.M. Snelling, J.F. Medrano, and M.G. Thomas. 2014. Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattle. PLOS One 9:e102551.
Choi, Y., M.E. Davis, and H. Chung. 2015. Effects of genetic variants in the promoter region of the bovine adiponectin (ADIPOQ) gene on marbling of Hanwoo beef cattle. Meat Science 105:57-62.
Chen, C., J.P. Steibel, and R.J. Tempelman. 2015. Reassessing hierarchical Bayesian genome-wide association analyses. J. Dairy Sci. 98(Suppl. 2):580.
Chen, C. and R.J. Tempelman. 2015. An integrated approach to empirical Bayesian whole genome prediction modeling. Journal of Agricultural, Biological, and Environmental Statistics 20(4):In Press (available at http://dx.doi.org/10.1007/s13253-13015-10224-13253).
Cheng, H., D.J. Garrick, and R.L. Fernando. 2015. XSim: Simulation of descendants from ancestors with sequence data. G3 – Genes, Genomes, Genetics doi:10.1534/g3.115.016683.
Chung, H.Y., Y.C. Choi, and M.E. Davis. 2015. 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. Genet. Mol. Res. 14 (2): 3026-3035.
Culbertson, M.M., S.E. Speidel, R.K. Peel, R.R. Cockrum, M.G. Thomas, and R.M. Enns. 2015. Optimum measurement period for evaluating feed intake traits in beef cattle. J. Anim. Sci. 93:1-9.
Decker, J.E., J.F. Taylor, L.J. Alexander, J. Kantanen, A. Millbrooke, R.D. Schnabel, M.D. MacNeil. 2015. Origins of cattle on Chirikof Island, Alaska elucidated from genome-wide SNP genotypes. bioRxiv http://dx.doi.org/10.1101/014415
Dillon, J.A., D.G. Riley, A.D. Herring, J.O. Sanders, and R.M. Thallman. 2015. Genetic effects on birth weight in reciprocal Brahman-Simmental crossbred calves. J. Anim. Sci. 93: 553-561.
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. Genetic parameters and predictions for direct and maternal growth traits in a multibreed Angus-Brahman cattle population using genomic-polygenic and polygenic models. Livestock Sci. 175:18-26.
Elzo, M.A., M.G. Thomas, C.A. Martinez, G.C. Lamb, D.D. Johnson, 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.
Fortes, M.R.S., A.H.M.S. Suhaimi, L.R. Porto-Neto, S.M. McWilliam, T. Flatscher-Bader, S.S. Moore, M.J. D’Occhio, C.T. Meira, M.G. Thomas, W.M. Snelling, A. Reverter, and S. Lehnert. 2014. Post-partum anoestrous in tropical beef cattle: a systems approach combining gene expression and genome-wide association results. Livest. Sci. 166:158-166.
Fragomeni, B.O., D.A.L. Lourenco, S. Tsuruta, Y. Masuda, I. Aguilar, I. Misztal. 2015. Use of Genomic Recursions and Algorithm for Proven and Young Animals for Single-Step Genomic BLUP Analyses – a Simulation Study. J. Anim. Breed. Genet. 132:340-345.
Fragomeni, B.O., D.A.L. Lourenco, S. Tsuruta, Y. Masuda, I. Aguilar, A. Legarra, T.J. Lawlor, and I. Misztal. 2015. Hot Topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes. J. Dairy Sci. 98:4090–4094.
Garrick, D.J., and A. Ruvinsky, Editors. 2014. The Genetics of Cattle, 2nd Ed. CABI, Boston, MA.
Garrick, D.J., R. Fernando, and A. Ruvinsky. 2014. Genomic prediction and genome-wide association studies in beef and dairy cattle. Ch. 19 in The Genetics of Cattle, pg. 474.
Hong, J., D. Kim, K. Cho, S. Sa, S. Choi, Y. Kim, J. Park, G. Silber Schmidt, M.E. Davis, and H. Chung. 2015. Effects of genetic variants for the swine FABP3, HMGA1, MC4R, IGF2, and FABP4 genes on fatty acid composition. Meat Science 110:46-51
Hu, Y., G. Morota, G.J.M. Rosa, and D. Gianola. 2015. Prediction of plant height in Arabidopsis thaliana from DNA methylation data. Genetics 201:779-793.
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. 37(4):631-637
Hulsman Hanna, L.L., D.J. Garrick, C.A. Gill, A.D. Herring, J.O. Sanders, and D.G. Riley. 2015. Cross-validation of genetic and genomic predictions of temperament in Nellore-Angus crossbreds. Livest. Sci. 182:28-33.
Laodim, T., S. Koonawootrittriron, T. Suwanasopee, and M.A. Elzo. 2015. Genome-wide linkage disequilibrium in a Thai multibreed dairy population. Livest. Sci. 180:27-33.
Lean, I., M. Lucy, J. McNamara, B. Bradford, E. Block, J. Thomson, J. Morton, P. Celi, A. Rabiee, J. Santos, W. Thatcher, S. LeBlanch. 2015. Invited Review: Recommendations for reporting intervention studies on reproductive performance in dairy cattle: Improving design, analysis, and interpretation of research on reproduction. J. Dairy Sci. In Press.
Legarra, A., O.F. Christensen, Z.G. Vitezica, I. Aguilar, and I. Misztal. 2015. Ancestral relationships using metafounders: Finite ancestral populations and across population relationships. Genetics. 200:455-468.
Littlejohn, M.D., K.M. Henty, K. Tiplady, T. Johnson, C. Harland, T. Lopdell, R.G. Sherlock, W. Li, S.D. Lukefahr, B.C. Shanks, D.J. Garrick, R.G. Snell, R.J. Spelman, and S.R. Davis. 2014. Functionally reciprocal mutations of the prolacting signaling pathway affect hair length, thermoregulation and lactation phenotypes in taurine cattle. Nature Comm. DOI:10.1038/ncomms6861.
Lourenco, D.A.L., I. Misztal, B.O. Fragomeni, S. Tsuruta, I. Aguilar, B. Zumbach, and R.R. Hawken. 2015. Accuracy of estimated breeding values with genomic information on males, females, or both: an example in broiler chicken. Genet. Sel. Evol. 47:56.
Lourenco, D.A.L., I. Misztal, S. Tsuruta, B. Fragomeni, I. Aguilar, Y. Masuda, and D. Moser. 2015. Direct and indirect evaluations in beef cattle. Interbull Bull. 49:80-84.
Lourenco, D.A.L., S. Tsuruta, B.O. Fragomeni, Y. Masuda, I. Aguilar, A. Legarra, J.K. Bertrand, T.S. Amen, L. Wang, D.W. Moser, and I. Misztal. 2015. Genomic evaluation using single-step genomic BLUP in American Angus. J. Anim. Sci. 93:2653–2662.
Lourenco, D.A.L., S. Tsuruta, B.O. Fragomeni, C.Y. Chen, W.O. Herring, and I. Misztal. 2015. Crossbred evaluations in single-step genomic BLUP using adjusted realized relationship matrices. J. Anim. Sci. (Accepted).
Lu, Y., M.J. Vandehaar, D.M. Spurlock, K.A. Weigel, L.E. Armentano, C.R. Staples, E.E. Connor, Z. Wang, N.M. Bello, and R.J. Tempelman. 2015a. An alternative approach to modeling genetic merit of feed efficiency in dairy cattle. J. Dairy Sci. 98(9):6535-6551.
Lu, Y., M.J. Vandehaar, D.M. Spurlock, K.A. Weigel, L.E. Armentano, C.R. Staples, E.E. Connor, Z. Wang, M. Coffey, R.F. Veerkamp, Y. de Haas, N.M. Bello, and R.J. Tempelman. 2015b. Hierarchical Bayesian inference on genetic and non-genetic components of partial efficiencies determining feed efficiency in dairy cattle. J. Dairy Sci. 98(Suppl.2):573.
Manzanilla-Pech, C.I.V., R.F. Veerkamp, R.J. Tempelman, M.L. van Pelt, K.A. Weigel, M.J. Vandehaar, T.J. Lawlor, D.M. Spurlock, L.E. Armentano, C.R. Staples, M. Hanigan, and Y. de Haas. 2015. Correlations between feed intake-related traits and conformation traits in two separate dairy populations: the Netherlands and the United States. J. Dairy Sci. In Press.
Martinez, C.A., K. Khare, and M.A. Elzo. 2015. On the Bayesness, minimaxity and admissibility of point estimators of allelic frequencies. J. Theor. Biol. 383:106-115.
Mausda, Y., I. Aguilar, S. Tsuruta, and I. Misztal. 2015. Technical Note: Acceleration of sparse operations for average-information REML analyses with supernodal methods and sparse-storage refinements. J. Anim. Sci. 93:4670-4674.
Masuda, Y., I. Misztal, S. Tsuruta, A. Legarra, I. Aguilar, D.A.L. Lourenco, B. Fragomeni, and T. Lawlor. 2015. Implementation of genomic recursions in single-step genomic BLUP for US Holsteins with a large number of genotyped animals. J. Dairy Sci. (Accepted).
Masuda, Y., I. Misztal, S. Tsuruta, D.A.L. Lourenco, B.O. Fragomeni, A. Legarra, I. Aguilar, and T. Lawlor. 2015. Implementation of genomic recursions in single-step genomic BLUP for US Holsteins with a large number of genotyped animals. J. Dairy Sci. 49:85-89.
Mateescu, R.G., D.J. Garrick, A.J. Garmyn, D.L. VanOverbeke, G.G. Hilton, and J.M. Reecy. 2015. Genetic parameters for sensory traits in longissimus muscle and their associations with tenderness, marbling score, and intramuscular fat in Angus cattle. J. Anim. Sci. 93:21-27.
McDaneld, T.G., L.A. Kuehn, M.G. Thomas, W.M. Snelling, T.P.L. Smith, E.J. Pollak, J.B. Cole, and J.W. Keele. 2014. Genome-wide association study of reproductive efficiency in female cattle. J. Anim. Sci.92:1945-1957.
McDaneld, T.G., L.A. Kuehn, M.G. Thomas, E.J. Pollak, and J.W. Keele. 2014. Deletion on chromosome 5 associated with decreased reproductive efficiency in female cattle. J. Anim. Sci. 92:1378-1384.
Misztal, I. 2015. Inexpensive computation of the inverse of the genomic relationship matrix in populations with small effective population size. Genetics. (Ahead of print).
Misztal, I., B.O. Fragomeni, D.A.L. Lourenco, S. Tsuruta, I. Aguilar, A. Legarra, and T. Lawlor. 2015. Efficient inversion of genomic relationship matrix by the algorithm for proven and young (APY). Interbull Bull. 49:111-116.
Morota, G., F. Penagaricano, J.L. Petersen, D.C. Ciobanu, K. Tsuyuzaki, and I. Nikaido. 2015. An application of MeSH enrichment analysis in livestock. Animal Genetics 46:381-387.
Neary, J.M., F.B. Garry, T.N. Holt, R.D. Brown, K.R. Stenmark, R.M. Enns, and M.G. Thomas. 2015. The altitude of which a calf is born and raised determines the rate at which mPAP increases with age. J. Anim. Sci. 93:1-7.
Neary, J.M., F.B. Garry, T.N. Holt, M.G. Thomas, and R.M. Enns. 2015. Mean pulmonary arterial pressures in Angus steers increase from cow-calf to feedlot-finishing phases. J. Anim. Sci. 93:3854-3861.
Newman, J.H., T.N. Holt, J. Cogan, B. Womack, J.A. Phillips, C. Li, Z. Kendall, K.R. Stenmark, M.G. Thomas, R.D. Brown, S.R. Riddle, J.D. West, and R. Hamid. 2015. Increased prevalence of an EPAS1 (HIF2α) variant haplotype in cattle with high altitude pulmonary hypertension: brisket disease gene? Nature Comm. 6:6863.
Oberbauer, A.M., J.M. Belanger, G. Rincon, A. Canovas, A. Islas-Trejo, M.G. Thomas, and J.F. Medrano. 2014. Bovine and murine tissue expression of insulin-like growth factor-1. Gene 535:101-105.
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, LL. Coutinho, and L.C.A. Regitano. 2014. Identification of genomic regions associated with feed efficiency in Nellore cattle. BMC Genetics 15:100.
Perz, K., J. Berardinelli, R. Shevitski, J. White, J. Thomson. 2015, Use of human tri-axial pedometer for measurement of sheep activity. Animal Behavior Science In Review.
Rolf, M.M., D.J. Garrick, T. Fountain, H.R. Ramey, R.L. Weaber, J.E. Decker, E.J. Pollak, R.D. Schnabel, J.F. Taylor. 2015. Comparison of Bayesian models to estimate direct genomic values in multi-breed commercial beef cattle. Genet. Sel. Evol. 47:23.
Schiermiester, L.N., Thallman, R.M., Kuehn, L.A., Kachman, S.D., Spangler, M.L. 2015. Estimation of breed-specific heterosis effects for birth, weaning, and yearling weight in cattle. J. Anim. Sci. 93(1):46-52.
Saatchi, M., Beever, J.E., Decker, J.E., Faulkner, D.B., Freetly, H.C., Hansen, S.L., Yampara-Iquise, H., Johnson, K.A., Kachman, S.D., Kerley, M.S., Kim, J.W., Loy, D.D., Marques, E., Neibergs, H.L., Pollak, E.J., Schnabel, R.D., Seabury, C.M., Shike, D.W., Snelling, W.M., Spangler, M.L., Weaber, R.L., Garrick, D.J., Taylor, J.F. 2014. QTLs associated with dry matter intake, metabolic mid-test weight, growth and feed efficiency have little overlap across 4 beef cattle studies. BMC Genomics 15 (1): 1004.
Tempelman, R.J. 2015. Statistical and computational challenges in whole genome prediction and genome-wide association analyses for plant and animal breeding. Journal of Agricultural, Biological, and Environmental Statistics (Special Issue on Statistical Genomics and Transcriptomics in Agriculture)) 20(4): In Press (Available at http://dx.doi.org/10.1007/s13253-13015-10225-13252).
Thomas, M.G., A.H. Mohamed, M.N. Sawalhah, J.L. Holechek, D.W. Bailey, J.M. Hawkes, P. Luna-Nevarez, F. Molinar, and G. Khumalo. 2015. Long-term forage, cow-calf, and economic performance of two stocking levels on Chihuahuan Desert Rangeland. Range Ecol. Mgt. 68:158-165.
Tizioto, P.C., L.L. Coutinho, J.E. Decker, R.D. Schnabel, K.O. Rosa, P.S.N. Oliveira, M.M. Souza, G.B. Mourão, R.R. Tullio, A.S. Chaves, D.P.D. Lanna, A. Zerlotini-Neto, M.A. Mudadu, J.F. Taylor, and L.C.A. Regitano. 2015. Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes. BMC Genomics 16(1):242.
Tizioto, P.C., J.F. Taylor, J.E. Decker, C.F. Gromboni, M.A. Mudadu, R.D. Schnabel, L.L. Coutinho, G.B. Mourão, P.S.N. Oliveira, M.M. Souza, J.M. Reecy, R.T. Nassu, F.A. Bressani, P. Tholon, T.S. Sonstegard, M.M. Alencar, R.R. Tullio, A.R.A. Nogueira, and L.C.A. Regitano. 2015. Detection of quantitative trait loci for mineral content of Nelore longissimus dorsi muscle. Genetics Selection Evolution 47(1):15.
Torres-Vázquez, J.A., and M.L. Spangler. 2015. Genetic parameters for docility, weaning weight, yearling weight and intramuscular fat percentage in Hereford cattle. J. Anim. Sci. In Press.
Tsuyuzaki, K., G. Morota, M. Ishii, T. Nakazato, S. Miyazaki, and I. Nikaido. 2015. MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis. BMC Bioinformatics 16:45.
Valente, B.D., G. Morota, F. Penagaricano, D. Gianola, K.A. Weigel, and G.J.M. Rosa. 2015. The causal meaning of genomic predictors and how it affects construction and comparison of genome-enabled selection models. Genetics 200:483-494.
Van Eenennaam, A., H. Neibergs, C. Seabury, J. Taylor, Z. Wang, E. Scraggs, R.D. Schnabel, J. Decker, A. Wojtowicz, S. Aly, J. Davis, P. Blanchard, B. Crossley, P. Rossitto, T. Lehenbauer, R. Hagevoort, E. Chavez, J.S. Neibergs, and J.E. Womack. 2014. Results of the BRD CAP project: progress toward identifying genetic markers associated with BRD susceptibility. Animal Health Research Reviews 15(02):157-160.
Whitacre, L.K., P.C. Tizioto, J.W. Kim, T.S. Sonstegard, S.G. Schroeder, L.J. Alexander, J.F. Medrano, R.D. Schnabel, J.F. Taylor, and J.E. Decker. 2015. What’s in your next-generation sequence data? An exploration of unmapped DNA and RNA sequence reads from the bovine reference individual. bioRxiv http://dx.doi.org/10.1101/022731
White, 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. 2015. Phenotypic relationships between docility and reproduction in Angus heifers. J. Anim. Sci. Accepted.
Yang, W., C. Chen, J.P. Steibel, C.W. Ernst, R.O. Bates, L. Zhou, and R.J. Tempelman. 2015a. A comparison of alternative random regression and reaction norm models for whole genome predictions. J. Anim. Sci. 93(6):2678-2692.
Yang, W., C. Chen, and R.J. Tempelman. 2015b. Improving the computational efficiency of fully Bayes inference and assessing the effect of misspecification of hyperparameters in whole-genome prediction models. Genetics Selection Evolution 47(1):13.
Yilmaz, A., N. Mohamed, K.A. Patterson,Y. Tang, K. Shilo, M.A. Villalona-Calero, M.E. Davis, X. Zhou, W. Frankel, G.A. Otterson, and W. Zhao. 2014. Clinical and metabolic parameters in non-small cell lung carcinoma and colorectal cancer patients with and without KRAS mutations. Int. J. Environ. Res. Public Health 2014, 11, 8645-8660;doi:10.3390/ ijerph110908645
Yilmaz, A., N. Mohamed, K.A. Patterson, Y. Tang, K. Shilo, M.A. Villalona-Calero, M.E. Davis, X. Zhou, W. Frankel, G.A. Otterson, H. D. Beall, and W. Zhao. 2014. Increased NQO1 but not c-MET and Survivin expression in non-small cell lung carcinoma with KRAS mutations. Int. J. Environ. Res. Public Health 2014, 11, 9491-9502; doi:10.3390/ijerph110909491
Zhang, J., J. Ahn, Y. Suh, S. Hwang, M.E. Davis, and K. Lee. 2015. Identification of CTLA2A, DEFB29, WFDC15B, SERPINA1F and MUP19 as novel tissue-specific secretory factors in mouse. PLoS ONE 10(5): e0124962. doi:10.1371/journal.pone.0124962.
Zhang, J., Y. Suh, Y. M. Choi, P. Chen, M.E. Davis, and K. Lee. 2015. Differential expression of cell cycle regulators during hyperplastic and hypertrophic growth of broiler subcutaneous adipose tissue. Lipids 50:965-976.

Referred Abstracts or Proceedings
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. J. Anim. Sci. 93(Suppl. S3):348.
Bailey, D.W., M.G. Thomas, T.N. Holt, M.B. Stephenson, R.M. Enns, and S.E. Speidel. 2015. Relationship of pulmonary arterial pressure and terrain use of beef cows grazing high-altitude foothill rangelands. Proc. West. Sect. Am. Soc. Anim. Sci. 66:99-103.
Boldt, R.J., S.E. Spiedel, M.G. Thomas, and R.M. Enns. 2015. Variance components for genetic evaluation of body condition score in beef cattle. Proc. West. Sect. Am. Soc. Anim. Sci. 66:108-110.
Boyd, B.M., S.D. Shackelford, K.E. Hales, T.M. Brown-Brandl, M.L. Spangler, and G.E. Erickson. 2015. Effects of shade and feeding zipaterol hydrochloride to finishing steers on performance, carcass quality, heat stress, and mobility. J. Anim. Sci. 93(Suppl. 2)
Cockrum, R., C. Holloway, X. Zeng, N.F. Berge, J.M. Neary. T. Holt, H. Blackburn, S.E. Speidel, R.M. Enns, and M.G. Thomas. 2015. Intrinsic response to hypoxic stress associated with cellular metabolism an inflammation in beef cattle. Plant and Animal Genome XXIII. Abstract P0169.
Crawford, N.F., S.E. Speidel, X. Zeng, T.N. Holt, M.G. Thomas, and R.M. Enns. 2015. Multivariate analysis of genetic relationships between pulmonary arterial pressure and performance traits in an Angus herd at high elevation. Proc. West. Sect. Am. Soc. Anim. Sci. 66:126-128.
Culbertson, M.M., S.E. Speidel, M.G. Thomas, and R.M. Enns. 2015. Effects of beef cow milk production levels on longevity from Colorado State University’s Beef Improvement Center. Proc. West. Sect. Am. Soc. Anim. Sci. 66:111-113.
Dias, M.M., A. Cánovas, C. Mantilla-Rojas, D.G. Riley, P. Luna-Nevárez, S.E. Speidel, R.M. Enns, I.S.D.P. Diaz, F.R.P. Souza, J.F. Medrano, H.N. Oliveira, and M.G. Thomas. 2015. SNP query in candidate genes that affect puberty in Bos indicus-influenced heifers. Proc. West. Sect. Am. Soc. Anim. Sci. 66:104-107.
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. J. Anim. 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).

01/03/2017