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.