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ARS Home » Southeast Area » Raleigh, North Carolina » Plant Science Research » Research » Research Project #443938

Research Project: Genetic Diversity and Disease Resistance in Maize

Location: Plant Science Research

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Don’t BLUP twice - (Peer Reviewed Journal)

Impact of genotype x environment interaction and selection history on genomic prediction in maize (Zea mays L.) Reprint Icon - (Peer Reviewed Journal)
Costa, M., Holland, J.B., De Leon, N., Kaeppler, S.M. 2024. Impact of genotype x environment interaction and selection history on genomic prediction in maize (Zea mays L.) . Crop Science. 64(6):3293-3310. https://doi.org/10.1002/csc2.21379.

Prediction of resistance, virulence, and host-by-pathogen interactions using dual genome prediction models Reprint Icon - (Peer Reviewed Journal)
Owen, H., Resende, M., Messina, C., Holland, J.B., Brawner, J. 2024. Prediction of resistance, virulence, and host-by-pathogen interactions using dual genome prediction models. Theoretical and Applied Genetics. 137:196. https://doi.org/10.1007/s00122-024-04698-7.

The quantification of southern corn leaf blight disease using deep UV fluorescence spectroscopy and autoencoder anomaly detection techniques Reprint Icon - (Peer Reviewed Journal)
Banah, H., Balint Kurti, P.J., Houdinet, G., Hawkes, C., Kudenov, M. 2024. The quantification of southern corn leaf blight disease using deep UV fluorescence spectroscopy and autoencoder anomaly detection techniques. PLOS ONE. 19(5). Article e0301779. https://doi.org/10.1371/journal.pone.0301779.

Natural variation in the pattern-triggered immunity response in plants: investigations, implications and applications Reprint Icon - (Peer Reviewed Journal)
Hudson, A., Mullens, A., Hind, S., Jamann, T., Balint Kurti, P.J. 2024. Natural variation in the pattern-triggered immunity response in plants: investigations, implications and applications. Molecular Plant Pathology. 25(3). Article e13445. https://doi.org/10.1111/mpp.13445.

Mitigating illumination-, leaf-, and view-angle dependencies in hyperspectral imaging using polarimetry Reprint Icon - (Peer Reviewed Journal)
Krafft, D., Scarboro, C.G., Hsieh, W., Doherty, C.J., Balint Kurti, P.J., Kudenov, M.W. 2024. Mitigating illumination-, leaf-, and view-angle dependencies in hyperspectral imaging using polarimetry. Plant Phenomics. 6:0157. https://doi.org/10.34133/plantphenomics.0157.