Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
J. Ferguson, S. Fernandes, B. Monier, N. D. Miller, D. Allan, A. Dmitrieva, P. Schmuker, R. Lozano, R. Valluru, E. S. Buckler, M. A. Gore, P. Brown, E. P. Spalding, A. Leakey
This study uses machine learning and phenotyping to identify 394 genes associated with water use efficiency traits in sorghum through GWAS and TWAS of 869 field-grown accessions.
bioRxiv · Nov 2, 2020Plant Biology