1,000+
Citations
15
h-index
17
i10-index
40+
Publications

For the complete, always-current list, visit Google Scholar.

Recent publications

A selection of recent peer-reviewed work — full citations and DOIs linked.

Nonlinear genomic selection index accelerates multi-trait crop improvement

Cerón-Rojas, J. J., Montesinos-López, O. A., Montesinos-López, A., Vitale, P., Pérez-Rodríguez, P., Fernandes, S. B., Ortiz, R., & Crossa, J. · Nature Communications, 2026.

Optimizing population simulations to accurately parallel empirical data for digital breeding

Burns, M. J., della Coletta, R., Fernandes, S. B., Bohn, M. O., Lipka, A. E., & Hirsch, C. N. · Crop Science, 2026.

High-throughput screen of NPQ in sorghum shows highly polygenic architecture of photoprotection

Vath, R. L., Fernandes, S. B., Monier, B., Głowacka, K., Walter, J., Lipka, A. E., Ferguson, J., Bernacchi, C. J., Pederson, T., & Kromdijk, J. · Plant-Environment Interactions, 2026.

Genomic prediction and association mapping of early-season flood tolerance in soybean

Vieira, C. C., Wu, C., Harrison, D., Marmo, R., Florez-Palacios, L., Acuna, A., Rogers, D., Fernandes, S. B., Fernandes, I., Shannon, G., Ye, H., & Nguyen, H. T. · The Plant Genome, 2025.

Improving multi-trait genomic prediction efficiency through the incorporation of synthetic traits selected based on co-heritability

Upadhyay, A., Azam, R., Yuan, M., Ivanovic, S., Ferguson, J. N., Paul, R. E., Koyejo, O., El-Kebir, M., Lipka, A. E., Leakey, A. D. B., & Fernandes, S. B. · bioRxiv, 2025.

Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials

Fernandes, I. K., Vieira, C. C., Dias, K. O. G., & Fernandes, S. B. · Theoretical and Applied Genetics, 2024.

Beat the heat: Breeding, genomics, and gene editing for high nighttime temperature tolerance in rice

Srivastava, V., de Guzman, C., & Fernandes, S. B. · Current Opinion in Plant Biology, 2024.

Realized genetic gain with reciprocal recurrent selection in a Eucalyptus breeding program

Chaves, S. F. S., Dias, L. A. S., Alves, R. S., Ferreira, F. M., Araújo, M. S., Resende, M. D. V., Takahashi, E. K., Souza, J. E., Leite, F. P., Fernandes, S. B., & Dias, K. O. G. · Tree Genetics & Genomes, 2024.

Genome-wide association insights into the genomic regions controlling vegetative and oil production traits in Acrocomia aculeata

Couto, E. G. O., Morales-Marroquín, J. A., Alves-Pereira, A., Fernandes, S. B., Colombo, C. A., de Azevedo-Filho, J. A., Carvalho, C. R. L., & Zucchi, M. I. · BMC Plant Biology, 2024.

Rethinking Bayesian optimization with Gaussian processes: Insights from hyperspectral trait search

Azam, R., Koyejo, S., Fernandes, S. B., El-Kebir, M., Leakey, A. D. B., & Lipka, A. · NeurIPS 2023 AI for Science Workshop, 2023.

Importance of genetic architecture in marker selection decisions for genomic prediction

della Coletta, R., Fernandes, S. B., Monnahan, P. J., Mikel, M. A., Bohn, M. O., Lipka, A. E., & Hirsch, C. N. · Theoretical and Applied Genetics, 2023.

Assessment of two statistical approaches for variance genome-wide association studies in plants

Murphy, M. D., Fernandes, S. B., Morota, G., & Lipka, A. E. · Heredity, 2022.

A multi-trait multi-locus stepwise approach for conducting GWAS on correlated traits

Fernandes, S. B., Casstevens, T. M., Bradbury, P. J., & Lipka, A. E. · The Plant Genome, 2022.

simplePHENOTYPES: Simulation of pleiotropic, linked and epistatic phenotypes

Fernandes, S. B., & Lipka, A. E. · BMC Bioinformatics, 2020.