Hongyu Jin

Hongyu Jin joined the Schnable Lab in 2019 as an Integrated Plant Biology PhD student co-advised by Prof. Schnable and Prof. Jinliang Yang. He earned his bachelor’s degree from China Agricultural University before starting graduate training, completed his PhD in August 2024, and then spent six months as a postdoctoral researcher working with Prof. Schnable before departing for a new position in China at the end of 2024.

Recent Publications

Jin H, Park A, Sreedasyam A, Li G, Ge Y, Swaminathan K, Schmutz J, Clemente TE, Schnable JC, Yang J (2025) Nitrogen response and growth trajectory of sorghum CRISPR-Cas9 mutants using high-throughput phenotyping. Genomics Communications doi: 10.48130/gcomm-0025-0011 bioRxiv doi: 10.1101/2024.12.13.624727
Istipliler D, Tross MC, Bouwens B, Jin H, Yufeng Ge, Yang J, Mural RV, Schnable JC (2025) Heritability, heterosis, and hybrid/inbred classification ability of maize leaf hyperspectral signals under changing soil nitrogen. Crop Science doi: 10.1002/csc2.70073
Jin H, Tross MC, Tan R, Newton L, Mural RV, Yang J, Thompson AM, Schnable JC (2024) Imitating the "breeder’s eye": predicting grain yield from measurements of non-yield traits. The Plant Phenome Journal doi: 10.1002/ppj2.20102 bioRxiv doi: 10.1101/2023.11.29.568906
Boatwright L, Sapkota S, Jin H, Schnable JC, Brenton Z, Boyles R, Kresovich S (2022) Sorghum association panel whole-genome sequencing establishes pivotal resource for dissecting genomic diversity. The Plant Journal doi: 10.1111/tpj.15853
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