Large scale data set from Australian Grains Technologies (AGT) containing wheat yield phenotype and matching genotypic marker set. This data is synonymous with the yield data used in the publication:
Norman, A., Taylor, J., Tanaka, E., Telfer, P., Edwards, J., Martinant, J.-P., et al. (2017) Increased genomic prediction accuracy in wheat breeding using a large Australian panel. Theoretical and Applied Genetics, 130, 1–13.
Field trial phenotype data columns:
10,375 breeding lines.
Grain yield Best Linear Unbiased Predictors (BLUPs) obtained from a spatial adjustment of original field trial with Genotype as random effects.
Grain yield deregressed BLUPs based on the de-regression method of Garrick et al (2009).
Adjusted grain yield consisting of grain yield de-regressed BLUPs with site mean added
Genotype data consists of:
10,375 rows named by the genotypes.
17,114 columns named by the markers.
Allele encodings are (AA, AB, BB) = (1, 0, -1).
Imputed alleles were calculated using the nearest neighbour method of Rutkowski et al (2013).