Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

John Ferguson, Samuel Fernandes, Brandon Monier, Nathan Miller, Dylan Allen, Anna Dmitrieva, Peter Schmuker, Roberto Lozano, Ravi Valluru, Edward Buckler, Michael Gore, Patrick Brown, Edgar Spalding & Andrew Leakey
This dataset contains the images of a photoperiod sensitive sorghum accession population used for a GWAS/TWAS study of leaf traits related to water use efficiency in 2016 and 2017. Raw images were produced by Optical topometry (nms files).
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