GOVS simulates a virtual genome encompassing the most abundant ‘optimal genotypes’ in a breeding population, and then assists in selection of superior lines based on the genomic fragments that a line contributes to the simulated genome.

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  • Please cite the following article: Qian Cheng, Shuqing Jiang, Feng Xu, Qian Wang, Yingjie Xiao, Ruyang Zhang, Jiuran Zhao, Jianbing Yan, Chuang Ma, Xiangfeng Wang, Genome optimization via virtual simulation to accelerate maize hybrid breeding, Briefings in Bioinformatics, 2021, bbab447,
Chuang Ma
Professor, Doctoral Supervisor

My research interests include artificial intelligence, abiotic stress and plant breeding.