Alexander Lipka

Affiliate Professor

Additional Campus Affiliations

Professor, Crop Sciences
Professor, Statistics
Professor, Lemann Center for Brazilian Studies
Professor, National Center for Supercomputing Applications (NCSA)
Affiliate, Carl R. Woese Institute for Genomic Biology

Recent Publications

Burns, M. J., Della Coletta, R., Fernandes, S. B., Bohn, M. O., Lipka, A. E., & Hirsch, C. N. (2026). Optimizing population simulations to accurately parallel empirical data for digital breeding. Crop Science, 66(1), Article e70247. https://doi.org/10.1002/csc2.70247

Godoy Dos Santos, J. C., Edwards, J., Lee, E., Mikel, M. A., Fernandes, S. B., Hirsch, C. N., Berry, S. P., Lipka, A. E., & Bohn, M. O. (2026). Dissecting genetic variance structure and evaluating genomic prediction models for single-cross hybrids derived from Stiff Stalk and Non-Stiff Stalk maize heterotic groups. G3 (Bethesda, Md.), 16(9). https://doi.org/10.1093/g3journal/jkag163

Mullens, A., Zhong, T., Lipka, A., Balint-Kurti, P., & Jamann, T. (2026). Vascular Pathogenicity of Xanthomonas vasicola pv. vasculorum in Maize Is Modulated by Tissue-Specific Host Resistance. Phytopathology, 116(2), 285-297. https://doi.org/10.1094/PHYTO-05-25-0164-R

Proma, S., Lubanga, N., Sacks, E., Leakey, A. D. B., Zhao, H., Ghimire, B. K., Lipka, A. E., Njuguna, J. N., Yu, C. Y., Seong, E. S., Yoo, J. H., Nagano, H., Anzoua, K. G., Yamada, T., Chebukin, P., Jin, X., Clark, L. V., Petersen, K. K., Peng, J., ... Jarquin, D. (2026). Optimizing resource allocation in Miscanthus breeding via sparse testing designs for genomic prediction. Frontiers in Plant Science, 17, 1-14. Article 1834912. https://doi.org/10.3389/fpls.2026.1834912

Upadhyay, A., Azam, R., Yuan, M., Ivanovic, S., Ferguson, J. N., Paul, R. E., Koyejo, S., El-Kebir, M., Lipka, A. E., Leakey, A. D. B., & Fernandes, S. B. (2026). Improving multi-trait genomic prediction using synthetic traits from hyperspectral data based on co-heritability. Theoretical and Applied Genetics, 139(10), Article 270. https://doi.org/10.1007/s00122-026-05334-2

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