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Workflow of the two main functions of the BREEDWHEAT Genomic Selection (BWGS) software. Function bwgs.cv() derives model cross-validation on a training set and function bwgs.predict() conducts model calibration on a training set and GEBV prediction of a target set of genotypes. MAF: minor allele frequency, maxNA: maximum % of marker missing data, MSEP: mean square error of prediction, GEBV: genomic estimated breeding value.
