Selected Recent Publications
Long, E. M., Cinta, R. M., Guillaume, R., Buckler, E. S., and K. R. Robbins. 2023. Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassava. Frontiers in Plant Science, 13. https://doi.org/10.3389/fpls.2022.1041925
Anche, M. T., Morales, N., Kaczmar, N. S., Santantonio, N., Gore, M. A., and K. R. Robbins. 2023. Scalable growth models for time-series multispectral images. The Plant Phenome Journal, 6, e20064. https://doi.org/10.1002/ppj2.20064
Epstein, R., Sajai, N., Zelkowski, M., Zhou, A., Robbins, K.R. and W. P. Pawlowski. 2023. Exploring impact of recombination landscapes on breeding outcomes. Proceedings of the National Academy of Sciences, 120(14), p.e2205785119. https://doi.org/10.1073/pnas.2205785119
Long, E.M., Bradbury, P.J., Romay, M.C., Buckler, E.S. and K. R. Robbins. 2022. Genome-wide imputation using the practical haplotype graph in the heterozygous crop cassava. G3, 12(1). https://doi.org/10.1093/g3journal/jkab383
Li, M., Coneva, V., Robbins, K.R., Clark, D., Chitwood, D. and M. Frank. 2021. Quantitative dissection of color patterning in the foliar ornamental coleus. Plant physiology, 187(3), pp.1310-1324. https://doi.org/10.1093/plphys/kiab393
Sun, D., Robbins, K., Morales, N., Shu, Q. and H. Cen. 2021. Advances in optical phenotyping of cereal crops. Trends in Plant Science. https://doi.org/10.1016/j.tplants.2021.07.015
Ni, P., Anche, M.T., Ruan, Y., Dang, D., Morales, N., Li, L., Liu, M., Wang, S. and K. R. Robbins. 2022. Genomic Prediction Strategies for Dry-Down-Related Traits in Maize. Frontiers in Plant Science, p.1997.
Atanda, S.A., Olsen, M., Burgueño, J., Crossa, J., Dzidzienyo, D., Beyene, Y., Gowda, M., Dreher, K., Zhang, X., Prasanna, B.M., Tongoona, P., Danquah, E. Y., Olaoye, G. and K. R. Robbins. 2021. Maximizing efficiency of genomic selection in CIMMYT’s tropical maize breeding program. Theoretical and Applied Genetics, pp.1-16.
Anche, M. T., Kaczmar, N., Morales, N., Chohessy, J. W., Ilut, D., Gore, M. and K. R. Robbins. 2020. Temporal covariance structure of multi-spectral phenotypes and their predictive ability for end-of-season traits in maize. Theoretical and Applied Genetics, pp.1-16.
Santantonio, N., Atanda, S. A., Beyene, Y., Varshney, R. K., Olsen, M. S., Jones, E., Roorkiwal, M., Zhang, X., Chellapilla, B., Gaur, P. M., Gowda, M., Dreher, K., Hernandez, C. A., Crossa, J., Pérez-Rodríguez, P., Rathore, A., Gao, S. Y., McCouch, S. and K. R. Robbins. 2020. Strategies for effective use of genomic information in crop breeding programs serving Africa and South Asia. Frontiers in Plant Science, 11, p.353.
Morales, N., Kaczmar, N., Santantonio, N., Gore, M., Mueller, L. and K. R. Robbins. 2020. ImageBreed: Open-access Plant Breeding Web-database for Image Based Phenotyping. The Plant Phenome Journal, 3(1), p.e20004.