Additional Campus Affiliations
Associate Professor, Crop Sciences
Associate Professor, Statistics
Associate Professor, National Center for Supercomputing Applications (NCSA)
Affiliate, Carl R. Woese Institute for Genomic Biology
Associate Professor, Lemann Center for Brazilian Studies
Recent Publications
Tuggle, C. K., Clarke, J. L., Murdoch, B. M., Lyons, E., Scott, N. M., Beneš, B., Campbell, J. D., Chung, H., Daigle, C. L., Das Choudhury, S., Dekkers, J. C. M., Dórea, J. R. R., Ertl, D. S., Feldman, M., Fragomeni, B. O., Fulton, J. E., Guadagno, C. R., Hagen, D. E., Hess, A. S., ... Schnable, P. S. (2024). Current challenges and future of agricultural genomes to phenomes in the USA. Genome biology, 25(1), Article 8. https://doi.org/10.1186/s13059-023-03155-w
Widener, S., Njuguna, J. N., Clark, L. V., Anzoua, K. G., Bagmet, L., Chebukin, P., Dwiyanti, M. S., Dzyubenko, E., Dzyubenko, N., Ghimire, B. K., Jin, X., Jørgensen, U., Kjeldsen, J. B., Nagano, H., Peng, J., Petersen, K. K., Sabitov, A., Seong, E. S., Yamada, T., ... Lipka, A. E. (2024). Genotype by environment model predictive ability in Miscanthus. GCB Bioenergy, 16(1), Article e13113. https://doi.org/10.1111/gcbb.13113
Burroughs, C. H., Montes, C. M., Moller, C. A., Mitchell, N. G., Michael, A. M., Peng, B., Kimm, H., Pederson, T. L., Lipka, A. E., Bernacchi, C. J., Guan, K., & Ainsworth, E. A. (2023). Reductions in Leaf Area Index, Pod Production, Seed Size and Harvest Index Drive Yield Loss to High Temperatures in Soybean. Journal of experimental botany, 74(5), 1629–1641. Article erac503. https://doi.org/10.1093/jxb/erac503
Della Coletta, R., Fernandes, S. B., Monnahan, P. J., Mikel, M. A., Bohn, M. O., Lipka, A. E., & Hirsch, C. N. (2023). Importance of genetic architecture in marker selection decisions for genomic prediction. Theoretical and Applied Genetics, 136(11), Article 220. https://doi.org/10.1007/s00122-023-04469-w
Della Coletta, R., Liese, S. E., Fernandes, S. B., Mikel, M. A., Bohn, M. O., Lipka, A. E., & Hirsch, C. N. (2023). Linking genetic and environmental factors through marker effect networks to understand trait plasticity. Genetics, 224(4), Article iyad103. https://doi.org/10.1093/genetics/iyad103