The use of unbalanced historical data for genomic selection in an international wheat breeding program

@inproceedings{Dawson2013TheUO,
  title={The use of unbalanced historical data for genomic selection in an international wheat breeding program},
  author={Julie C Dawson and Jeffrey B. Endelman and Nicolas Heslot and Jos{\'e} Crossa and Jesse A Poland and Susanne Dreisigacker and Yann Man{\`e}s and Mark E Sorrells and Jean-Luc Jannink},
  year={2013}
}
Abstract Genomic selection (GS) offers breeders the possibility of using historic data and unbalanced breeding trials to form training populations for predicting the performance of new lines. However, when using datasets that are unbalanced over time and space, there is increasing exposure to different genotype – environment combinations and interactions that may make predictions less accurate. Global cross-validated genomic prediction accuracies may be high when using large historic datasets… CONTINUE READING

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Genomic selection in a commercial winter wheat population

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