Marcin Grzybowski

Marcin joined the lab in 2019 after completing his PhD at the University of Warsaw. At the University of Nebraska Marcin is applying quantitative genetics tools to study the basis of complex traits in maize and sorghum and collaborating with the Ge lab (Biological Systems Engineering) and Glowacka lab (Biochemistry) labs to employ new phenotyping technologies to measure photosynthetic and plant nutrition traits across diversity panels. He is now a collaborator with the lab while he is based in Poland.

Google Scholar Profile

Recent Publications

Li F, Grzybowski M, Roston RL, Schnable JC (2025) Nighttime fluorescence phenotyping reduces environmental variability for photosynthetic traits and enables the identification of candidate loci in maize. Frontiers in Plant Science doi: 10.3389/fpls.2025.1595339
Ali W, Grzybowski M, Torres-Rodriguez JV, Li F, Shrestha N, Mathivanan RK, de Bernardeaux G, Hoang K, Mural R, Roston RL, Schnable JC, Sahay S (2025) Quantitative genetics of photosynthetic trait variation in maize. Journal of Experimental Botany doi: 10.1093/jxb/eraf198 bioRxiv doi: 10.1101/2024.11.25.625283
Sahay S, Grzybowski M, Schnable JC, Glowacka K (2024) Genotype-specific nonphotochemical quenching responses to nitrogen deficit are linked to chlorophyll a to b ratios. Journal of Plant Physiology doi: 10.1016/j.jplph.2024.154261
Sahay S, Shrestha N, Moura Dias H, Mural RV, Grzybowski M, Schnable JC, Glowacka K (2024) Nonphotochemical quenching kinetics GWAS in sorghum identifies genes that may play conserved roles in maize and Arabidopsis thaliana photoprotection. The Plant Journal doi: 10.1111/tpj.16967 bioRxiv doi: 10.1101/2023.08.29.555201
Tross MC, Grzybowski M, Jubery TZ, Grove RJ, Nishimwe AV, Torres-Rodriguez JV, Sun G, Ganapathysubramanian B, Ge Y, Schnable JC (2024) Data driven discovery and quantification of hyperspectral leaf reflectance phenotypes across a maize diversity panel. The Plant Phenome Journal doi: 10.1002/ppj2.20106 bioRxiv doi: 10.1101/2023.12.15.571950
Torres-Rodriguez JV, Li D, Turkus J, Newton L, Davis J, Lopez-Corona L, Ali W, Sun G, Mural RV, Grzybowski M, Zamft B, Thompson AM, Schnable JC (2024) Population level gene expression can repeatedly link genes to functions in maize. The Plant Journal doi: 10.1101/2023.10.31.565032 bioRxiv doi: 10.1101/2023.10.31.565032
Sahay S, Grzybowski M, Schnable JC, Glowacka K (2023) Genetic control of photoprotection and photosystem II operating efficiency in plants. New Phytologist doi: 10.1111/nph.18980
Grzybowski M, Mural RV, Xu G, Turkus, J, Yang Jinliang, Schnable JC (2023) A common resequencing-based genetic marker dataset for global maize diversity. The Plant Journal doi: 10.1111/tpj.16123
Sun G, Yu H, Wang P, Lopez-Guerrero MG, Mural RV, Mizero ON, Grzybowski M, Song B, van Dijk K, Schachtman DP, Zhang C, Schnable JC (2023) A role for heritable transcriptomic variation in maize adaptation to temperate environments. Genome Biology doi: 10.1186/s13059-023-02891-3 bioRxiv doi: 10.1101/2022.01.28.478212
Grzybowski M, Zweiner M, Jin H, Wijewardane NK, Atefi A, Naldrett MJ, Alvarez S, Ge Y, Schnable JC (2022) Variation in morpho-physiological and metabolic responses to low nitrogen stress across the sorghum association panel. BMC Plant Biology doi: 10.1101/2022.06.08.495271 bioRxiv doi: 10.1101/2022.06.08.495271
Mural RV, Sun G, Grzybowski M, Tross MC, Jin H, Smith C, Newton L, Andorf CM, Woodhouse MR, Thompson AM, Sigmon B, Schnable JC (2022) Association mapping across a multitude of traits collected in diverse environments identifies pleiotropic loci in maize. Gigascience doi: 10.1093/gigascience/giac080 bioRxiv doi: 10.1101/2022.02.25.480753
Grzybowski M, Wijewardane NK, Atefi A, Ge Y, Schnable JC (2021) Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: progress and challenges. Plant Communications doi: 10.1016/j.xplc.2021.100209
Mural RV, Grzybowski M, Miao C, Damke A, Sapkota S, Boyles RE, Salas Fernandez MG, Schnable PS, Sigmon B, Kresovich S, Schnable JC (2021) Meta-analysis identifies pleiotropic loci controlling phenotypic trade-offs in sorghum. Genetics doi: 10.1093/genetics/iyab087 bioRxiv doi: 10.1101/2020.10.27.355495