Felipe Sabadin

Publications | Journal Articles

Academic Journal

• Sabadin, F., Loeb, A., Reith, F., Perry, A., Frias, S., Ragland, D., Liu, L., Brooks, W., Thapa, R., Hansen, J., Pierce, C., Virginia Moore, M.., Brown‐Guedira, G., Ray, I., Michael Gore, A.., Robbins, K., Santantonio, N., (2026). Insights into biomass accumulation and challenges in grain yield prediction of elite breeding materials using UAV‐based vegetation indices in soft red winter wheat. The Plant Phenome Journal, doi: 10.1002/ppj2.70074
• Loeb, A., Sabadin, F., Perry, A., Bettenhausen, H., Brown‐Guedira, G., Smith, J., Howell, K., Walling, J., Uhlmann, H., Brooks, W., Santantonio, N., (2026). Temporal genetic relationships between growth, development, and malting quality in winter barley (Hordeum vulgare) using aerial imagery. The Plant Phenome Journal, 9:1, doi: 10.1002/ppj2.70056
• Brooks, W., Griffey, C., Sabadin, F., Vaughn, M., Liu, L., Seago, J., Thomason, W., Mott, J., Light, J., Hokenson, E., McMaster, N., David Schmale III, , Saville, B., Hardiman, T., Tommy Custis, J.., Jones, K., Ned Jones, Jr., , Lillard, G., Marshall, D., Fountain, M., Tuong, T., Lee, M., Oakes, J., Santantonio, N., (2026). Registration of ‘VT Beahm’ winter forage barley. Journal of Plant Registrations, doi: 10.1002/plr2.70048
• Prado, M., Priolli, R.H, Couto, E.G, Sabadin, F., Dias, K.O, Pinheiro, J.B, (2026). Impact of genotyping platform and quality control on genomic prediction accuracy of soybean oil composition. Euphytica, 222:1, doi: 10.1007/s10681-025-03637-x
• Brooks, W., Sabadin, F., Santantonio, N., (2025). Registration of ‘Avalon’ winter malt barley. Journal of Plant Registrations, 19:1, doi: 10.1002/plr2.20408
• de Pontes, F.C, Machado, I.P, Silveira, M.V, Lobo, A.L, Sabadin, F., Fritsche-Neto, R., DoVale, J.C, (2025). Combining genotyping approaches improves resolution for association mapping: a case study in tropical maize under water stress conditions. Frontiers in Plant Science, 15, doi: 10.3389/fpls.2024.1442008
• Thapa, R., Kunze, K.H, Hansen, J., Pierce, C., Moore, V., Ray, I., Wickes-Do, L., Morales, N., Sabadin, F., Santantonio, N., Gore, M.A, Robbins, K., DeWitt, N., (2024). Remote sensing for estimating genetic parameters of biomass accumulation and modeling stability of growth curves in alfalfa. G3: Genes, Genomes, Genetics, 14:11, doi: 10.1093/g3journal/jkae200
• Fritsche-Neto, R., Sabadin, F., Couto, E.G, Souza, P., Alves, F.C, Galli, G., Borsato, R., DoVale, J., Borges, K.L, Garbuglio, D.D, (2023). Deep purple - an open-pollinated variety to induce haploids in tropical corn. Crop Breeding and Applied Biotechnology, 24, doi: 10.1590/1984-70332024v24n1a08
• Fritsche-Neto, R., Sabadin, F., doVale, J.C, Souza, P.H, Borges, K.L, Crossa, J., Garbuglio, D.D, (2023). Realized genetic gains via recurrent selection in a tropical maize haploid inducer population and optimizing simultaneous selection for the next breeding cycles. Crop Science, 63:5, 2865-2876. doi: 10.1002/csc2.21081
• Campos, G.R, Prado, M., Reis Borges, K.L, Yassue, R.M, Sabadin, F., da Silva, A.V, Morais de Alcântara Barbosa, C., Bellato Sposito, M., Amorim, L., Fritsche-Neto, R., (2023). Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions. Scientific Reports, 13:1, doi: 10.1038/s41598-023-41728-8
• Machado, I.P, DoVale, J.C, Sabadin, F., Fritsche-Neto, R., (2023). On the usefulness of mock genomes to define heterotic pools, testers, and hybrid predictions in orphan crops. Frontiers in Plant Science, 14, doi: 10.3389/fpls.2023.1164555
• DoVale, J.C, Carvalho, H.F, Sabadin, F., Fritsche-Neto, R., (2022). Genotyping marker density and prediction models effects in long-term breeding schemes of cross-pollinated crops. Theoretical and Applied Genetics, 135:12, 4523-4539. doi: 10.1007/s00122-022-04236-3
• Sabadin, F., DoVale, J.C, Platten, J.D, Fritsche-Neto, R., (2022). Optimizing self-pollinated crop breeding employing genomic selection: From schemes to updating training sets. Frontiers in Plant Science, 13, doi: 10.3389/fpls.2022.935885
• Galli, G., Sabadin, F., Yassue, R.M, Galves, C., Carvalho, H.F, Crossa, J., Montesinos-López, O.A, Fritsche-Neto, R., (2022). Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids. Frontiers in Plant Science, 13, doi: 10.3389/fpls.2022.845524
• Sabadin, F., Carvalho, H.F, Galli, G., Fritsche-Neto, R., (2022). Population-tailored mock genome enables genomic studies in species without a reference genome. Molecular Genetics and Genomics, 297:1, 33-46. doi: 10.1007/s00438-021-01831-9
• Yassue, R.M, Carvalho, H.F, Gevartosky, R., Sabadin, F., Souza, P.H, Bonatelli, M.L, Azevedo, J.L, Quecine, M.C, Fritsche-Neto, R., (2021). On the genetic architecture in a public tropical maize panel of the symbiosis between corn and plant growth-promoting bacteria aiming to improve plant resilience. Molecular Breeding, 41:10, doi: 10.1007/s11032-021-01257-6
• Sabadin, F., Fritsche‐Neto, R., (2021). Improving the identification of haploid maize seeds using convolutional neural networks. Crop Science, 61:4, 2387-2397. doi: 10.1002/csc2.20487
• Fritsche-Neto, R., Galli, G., Borges, K.L, Costa-Neto, G., Alves, F.C, Sabadin, F., Lyra, D.H, Morais, P.P, Braatz de Andrade, L.R, Granato, I., Crossa, J., (2021). Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review. Frontiers in Plant Science, 12, doi: 10.3389/fpls.2021.658267
• Yassue, R.M, Sabadin, F., Galli, G., Alves, F.C, Fritsche-Neto, R., (2021). CV-α: designing validations sets to increase the precision and enable multiple comparison tests in genomic prediction. Euphytica, 217:6, doi: 10.1007/s10681-021-02831-x
• Galli, G., Sabadin, F., Costa-Neto, G.M, Fritsche-Neto, R., (2021). A novel way to validate UAS-based high-throughput phenotyping protocols using in silico experiments for plant breeding purposes. Theoretical and Applied Genetics, 134:2, 715-730. doi: 10.1007/s00122-020-03726-6
• Matias, F.I, Sabadin, F., Moreira, L.A, Gomes, M.H, de Mira, A.B, Fritsche-Neto, R., Otto, R., (2020). Soil-app: A tool for soil analysis interpretation. Scientia Agricola, 78:1, doi: 10.1590/1678-992x-2019-0113

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Other

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.