Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement.

Overall, the results suggest that when there are highly significant peaks identified in a GWAS, adding markers that tag these GWAS peaks as fixed effects in an RR-BLUP+ fixed effects models improves accuracy over those obtained from more complex models like RF.

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