Data from: Genome-environment associations in sorghum landraces predict adaptive traits

Jesse R. Lasky, Hari D. Upadhyaya, Punna Ramu, Santosh Deshpande, C. Tom Hash, Jason Bonnette, Thomas E. Juenger, Katie Hyma, Charlotte Acharya, Sharon E. Mitchell, Edward S. Buckler, Zachary Brenton, Stephen Kresovich & Geoffrey P. Morris
Improving environmental adaptation in crops is essential for food security under global change, but phenotyping adaptive traits remains a major bottleneck. If associations between single-nucleotide polymorphism (SNP) alleles and environment of origin in crop landraces reflect adaptation, then these could be used to predict phenotypic variation for adaptive traits. We tested this proposition in the global food crop Sorghum bicolor, characterizing 1943 georeferenced landraces at 404,627 SNPs and quantifying allelic associations with bioclimatic and soil...
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