GWAS
GAPIT3 was used to complete the GWAS to identify adaptive loci (Wang & Zhang, 2021). GAPIT3 model selection was used to select the appropriate model for performing the GWAS. Fixed and random model Circulating Probability Unification (FarmCPU) was chosen as it was the most effective for the size of the matrix used and is effective in the control of false positives [33]. The GAPIT3 FarmCPU model was run with an optimal 3 principal components to explain the variation. Regions 500bp from each loci were highlighted for future functional analysis.