To test the effect of including highly significant GWAS hits as fixed effects in prediction models, the scheme outlined above was repeated for each trait with a slight modification: before fitting each prediction model, a GWAS model testing only additive effects was performed using just the training population from each iteration.
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A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane.
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