Chenyong Miao

Chenyong Miao joined the Schnable lab in 2016 and his research in the lab primarily foucses on plant Population Genetics and Phenomics using statistical and machine learning approaches. He got his PhD in Agronomy in 2020 and then joined the Bayer Crop Science as a Data Scientist. He is trying to solve challenging problems in the breeding pipeline using cutting edge DL models along with his domain knowledge to help build the future of precision breeding.

Google Scholar Profile

Recent Publications

Miao C, Guo A, Thompson AM, Yang J, Ge Y, Schnable JC (2021) Automation of leaf counting in maize and sorghum using deep learning. The Plant Phenome Journal doi: 10.1002/ppj2.20022 bioRxiv doi: 10.1101/2020.12.19.423626
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
Tross MC, Gaillard M, Zweiner M, Miao C, Grove RJ, Li B, Benes B, Schnable JC (2021) 3D reconstruction identifies loci linked to variation in angle of individual sorghum leaves. PeerJ doi: 10.7717/peerj.12628 bioRxiv doi: 10.1101/2021.06.15.448566
Han J, Wang P, Wang Q, Lin Q, Yu G, Miao C, Dao Y, Wu R, Schnable JC, Tang H, Wang K (2020) Genome-wide characterization of DNase I-hypersensitive sites and cold response regulatory landscapes in grasses. The Plant Cell doi: 10.1105/tpc.19.00716
Gaillard M, Miao C, Schnable JC, Benes B (2020) Voxel carving based 3D reconstruction of sorghum identifies genetic determinants of radiation interception efficiency. Plant Direct doi: 10.1002/pld3.255 bioRxiv doi: 10.1101/2020.04.06.028605
Zheng Z, Hey S, Jubery T, Liu T, Yang Y, Coffey L, Miao C, Sigmon B, Schnable JC, Hochholdinger F, Ganapathysubramanian B, Schnable PS (2020) Shared genetic control of root system architecture between Zea mays and Sorghum bicolor. Zea mays doi: 10.1104/pp.19.00752
Miao C, Xu Y, Liu S, Schnable PS, Schnable JC (2020) Increased power and accuracy of causal locus identification in time-series genome-wide association in sorghum. Plant Physiology doi: 10.1104/pp.20.00277 bioRxiv doi: 10.1101/2020.02.16.951467
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Miao C, Pages A, Xu Z, Rodene E, Yang J, Schnable JC (2020) Semantic segmentation of sorghum using hyperspectral data identifies genetic associations. Plant Phenomics doi: 10.34133/2020/4216373
Ge Y, Atefi A, Zhang H, Miao C, Ramamurthy RK, Sigmon B, Yang J, Schnable JC (2019) High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: A case study with a maize diversity panel. Plant Methods doi: 10.1186/s13007-019-0450-8
Miao C, Yang J, Schnable JC (2018) Optimizing the identification of causal variants across varying genetic architectures in crops. Plant Biotechnology Journal doi: 10.1111/pbi.13023
Miao C, Fang J, Li D, Liang P, Zhang X, Yang J, Schnable JC, Tang H (2018) Genotype-Corrector: improved genotype calls for genetic mapping. Scientific Reports doi: 10.1038/s41598-018-28294-0
Tang H, Zhang X, Miao C, Zhang J, Ming R, Schnable JC, Schnable PS, Lyons E, Lu Jianguo (2015) ALLMAPS: robust scaffold ordering based on multiple maps. Genome Biology doi: 10.1186/s13059-014-0573-1