Brief Summary of Minutes of Annual Meeting

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

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

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

This committee’s meeting is the only place where leaders in the area of genetic evaluation technology in the beef industry meet on an annual basis. The most cutting edge methods and technologies are debated and discussed. Ideas from this meeting help inform research priorities and activities for the coming year. For example, many of the current technologies used to incorporate genomics into national genetic evaluation were presented and discussed at past annual meetings. As evidenced in the following sections, our committee members are very productive and collaborate a great deal. Their presence at a wide range of national and international meetings illustrates the stature of the scholarship and far reaching impacts of the committee in beef cattle breeding, and more broadly animal breeding, in the national and international research, teaching and extension arenas. Committee members are involved in the national online animal breeding graduate education program, and contribute to the national beef cattle extension Brown Bagger Series, eXtension Beef Cattle Clearinghouse, and eBEEF.org. Furthermore, new resources for commercial cattlemen are being considered, such as American Gelbvieh Association’s Smart Select Service and the implementation planning for Biometry Open Language Tools (BOLT) by the International Genetics Solutions members.

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).