Abdalla, E. A., G. J. M. Rosa, K. A. Weigel, and T. Byrem. 2013. Genetic analysis of leukosis incidence in United States Holstein and Jersey populations. J. Dairy Sci. 96:6022-6029.
Bjelland, D. W., K. A. Weigel, N. Vukasinovic, and J. D. Nkrumah. 2013. Evaluation of inbreeding depression in Holstein cattle using whole-genome SNP markers and alternative measures of genomic inbreeding. J. Dairy Sci. 96:4697-4706.
Curran, R., K. Weigel, P. Hoffman, J. Marshall, K. Kuzdas, and W. Coblentz. 2013. Relationships between age at first calving, herd management criteria, and lifetime milk, fat, and protein production in Holstein cattle. Professional Animal Scientist 29:1-9.
Gambra, R., F. Peñagaricano, J. Kropp, K. Khateeb, K. Weigel, J. Lucey, and H. Khatib. 2013. Genomic architecture of kappa-casein and beta-lactoglobulin. J. Dairy Sci. 96:5324-5332.
Jiménez-Montero, J. A., D. Gianola, K. Weigel, R. Alenda, and O. González-Recio. 2013. Assets of imputation to ultra-high density for productive and functional traits. J. Dairy Sci. 96:6047-6058.
Lan, X. Y., F. Peñagaricano, L. DeJung, K. A. Weigel, and H. Khatib. 2013. Short communication: A missense mutation in the PROP1 (prophet of Pit 1) gene affects male fertility and milk production traits in the US Holstein population. J. Dairy Sci. 96:1255-1257.
Morota, G., M. Koyama, G. J. M. Rosa, K. A. Weigel, and D. Gianola. 2013. Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat breeding. Genetics Selection Evolution 45:17-31.
Peñagaricano, F., K. Weigel, G. J. M. Rosa, and H. Khatib. 2013. Inferring quantitative trait pathways associated with bull fertility from a genome-wide association study. Frontiers in Genetics 3:307:1-7.
Pérez-Rodriguez, P., D. Gianola, K. A. Weigel, G. J. M. Rosa, and J. Crossa. 2013. Technical Note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding. Journal of Animal Science 91:3522-3531.
Sun, C., P. M. VanRaden, J. R. O’Connell, K. A. Weigel, and D. Gianola. 2013. Mating programs including genomic relationships and dominance effects. J. Dairy Sci. 96:8014-8023.
Valente, B., K. Weigel, G. J. M. Rosa, and D. Gianola. 2013. Is structural equation modeling advantageous for the genetic improvement of multiple traits? Genetics 194:561-572.
Yao, C., D. Spurlock, K. A. Weigel, L. E. Armentano, and M. VandeHaar. 2013. Random forests approach for identifying additive and epistatic SNPs associated with residual feed intake in dairy cattle. J. Dairy Sci. 96:6716-6729.
Gianola, D., K. A. Weigel, N. Kramer, A. Stella, and C. C. Schon. 2014. Enhancing genome-enabled prediction by Bagging Genomic BLUP. PLOS ONE (in press).
Pryce, J. E., J. Johnston, B. J. Hayes, G. Sahana, K. A. Weigel, S. McParland, D. Spurlock, N. Krattenmacher, R. J. Spelman, E. Wall, and M. P. L. Calus. 2014. Imputation of genotypes from low density (50,000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America and Australasia using 2 reference populations. J. Dairy Sci. 97:1799-1811.
Shahinfar, S., A. S. Kalantari, V. Cabrera, and K. Weigel. 2014. Short communication: Prediction of retention pay-off using a machine learning algorithm. J. Dairy Sci. 97:2949-2952.
Shahinfar, S., D. Page, J. Guenther, V. Cabrera, P. Fricke, and K. Weigel. 2014. Prediction of insemination outcomes in Holstein dairy cattle using alternative machine learning algorithms. J. Dairy Sci. 97:731-742.
Van Eenannaam, A. L., K. A. Weigel, A. E. Young, M. A. Cleveland, and J. C. M. Dekkers. 2014. Applied animal genomics: Results from the field. Annual Reviews in Animal Biosciences 2:105-139.
Weigel, K. A. 2014. Genetic improvement programs for dairy cattle. In Molecular and Quantitative Animal Genetics, H. Khatib, editor. Wiley-Blackwell (in press).
Weigel, K. A. 2014. Genomic selection, inbreeding, and crossbreeding in dairy cattle. In Molecular and Quantitative Animal Genetics, H. Khatib, editor. Wiley-Blackwell (in press).
Yao, C., N. Leng, K. Weigel, K. E. Lee, C. D. Engelman, and K. J. Meyers. 2014. Prediction on genetic contributions of complex traits using whole genome sequencing data. BioMed Central (BMC) Proceedings from Genetic Analysis Workshop 18 (in press).
Yao, C., K. A. Weigel, and J. B. Cole. 2014. Short communication: Genetic evaluation of stillbirth in US Brown Swiss and Jersey cattle. J. Dairy Sci. 97:2474-2480.
Armentano, L. E., and K. A. Weigel. 2013. Considerations for improving feed efficiency in dairy cattle. Florida Animal Nutrition Conference, Gainesville, FL (February 5)*.
Cabrera, V., and K. A. Weigel. 2013. Development of a genomic testing decision support tool for Jersey dairy calves. American Jersey Cattle Association Annual Meeting, Amarillo, TX (June 26).
Weigel, K. A. 2013. Genomics and its implications in dairy cattle breeding programs. Visiting group from INRA France, Madison, WI (July 15).
Weigel, K. A. 2013. Genomics and its implementation in dairy cattle breeding programs. Babcock Institute tour group from Ukraine, Madison, WI (July 15).
Weigel, K. A. 2013. Genomics and its implementation in dairy cattle breeding programs. Babcock Institute tour group from Bulgaria, Madison, WI (October 7).
Armentano, L. E., K. A. Weigel, M. J. VandeHaar, and D. M. Spurlock. 2013. Considerations for improving feed efficiency in dairy cattle. Cornell Animal Nutrition Conference, Ithaca, NY (October 23)*.
Weigel, K. A., P. C. Hoffman, M. N. Fjarlie, and L. M. Vanderwerff. 2013. Genomics on the dairy farm. Dairy Cattle Reproduction Council Annual Meeting, Indianapolis, IN (November 7).*
Weigel, K. A. 2013. Genetic and genomic selection programs for US dairy cattle. Zinpro tour group from Japan, Madison, WI (November 4).
Weigel, K. A. 2013. Genomics and its impact on Wisconsin dairy farming. Wisconsin Chapter of the American Society of Farm Managers and Rural Appraisers, DeForest, WI (April 24).
Weigel, K. A. 2013. Applying genomics to manage heifer inventories. Purina / Land O’ Lakes Dairy Production Consultants Seminar, Wisconsin Dells, WI (June 20).
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