Zhikai Liang

Zhikai comes from Inner Mongolia, one of the most beautiful provinces in Northern China. In 2011, he earned his BA from Nanjing Agricultural University in major of agronomy (Nanjing, Jiangsu, China). Then he started his research in rice molecular biology at MSstate University in America (Starkville, MS). In 2014, he joined the Schnable lab as a PhD student. His research focuses on plant phenomic and genomic data analysis.

Google Scholar Profile

Recent Publications

Barnes AC, Myers JL, Surber SM, Liang Z, Mower JP, Schnable JC, Roston RL (2023) Oligogalactolipid production during cold challenge is conserved in early diverging lineages. Journal of Experimental Botany doi: 10.1093/jxb/erad241
Meng X, Liang Z, Dai X, Zhang Y, Mahboub S, Ngu DW, Roston RL, Schnable JC (2021) Predicting transcriptional responses to cold stress across plant species. Proceedings of the National Academy of Sciences doi: 10.1073/pnas.2026330118 bioRxiv doi: 10.1101/2020.08.25.266635
Jarquin D, Howard R, Liang Z, Gupta SK, Schnable JC, Crossa J (2020) Enhancing hybrid prediction in pearl millet using genomic and/or multi-environment phenotypic information of inbreds. Frontiers in Genetics doi: 10.3389/fgene.2019.01294
Wang R, Qiu Y, Zhou Y, Liang Z, Schnable JC (2020) A high-throughput phenotyping pipeline for image processing and functional growth curve analysis. Plant Phenomics doi: 10.34133/2020/7481687
Liang Z, Qiu Y, Schnable JC (2020) Genome-phenome wide association in maize and arabidopsis identifies a common molecular and evolutionary signature. Molecular Plant doi: 10.1016/j.molp.2020.03.003 bioRxiv doi: 10.1101/534503
Liang Z, Schnable JC (2018) Functional Divergence Between Subgenomes and Gene Pairs After Whole Genome Duplications. Molecular Plant doi: 10.1016/j.molp.2017.12.010
Liang Z, Gupta SK, Yeh CT, Zhang Y, Ngu DW, Kumar R, Patil HT, Mungra KD, Yadav DV, Rathore A, Srivastava RK, Gupkta R, Yang J, Varshney RK, Schnable PS, Schnable JC (2018) Phenotypic data from inbred parents can improve genomic prediction in pearl millet hybrids. G3: Genes Genomes Genetics doi: 10.1534/g3.118.200242
Liang Z, Pandey P, Stoerger V, Xu Y, Qiu Y, Ge Y, Schnable JC (2017) Conventional and hyperspectral time-series imaging of maize lines widely used in field trials. GigaScience doi: 10.1093/gigascience/gix117
Zhang Y, Ngu DW, Carvalho D, Liang Z, Qiu Y, Roston RL, Schnable JC (2017) Differentially regulated orthologs in sorghum and the subgenomes of maize. The Plant Cell doi: 10.1105/tpc.17.00354
Chaudhury SD, Steorger V, Samal A, Schnable JC, Liang Z, Yu J (2016) Automated vegetative stage phenotyping analysis of maize plants using visible light images. KDD: Data Science for Food, Energy, and Water
Liang Z, Schnable JC (2016) RNA-seq based analysis of population structure within the maize inbred B73. PLoS One doi: 10.1371/journal.pone.0157942