Optimizing Training Population Data and Validation of Genomic Selection for Economic Traits in Soft Winter Wheat

@inproceedings{Hoffstetter2016OptimizingTP,
  title={Optimizing Training Population Data and Validation of Genomic Selection for Economic Traits in Soft Winter Wheat},
  author={Amber Hoffstetter and Antonio C. Gonz{\'a}lez Cabrera and Mao Huang and Clay H. Sneller},
  booktitle={G3},
  year={2016}
}
Genomic selection (GS) is a breeding tool that estimates breeding values (GEBVs) of individuals based solely on marker data by using a model built using phenotypic and marker data from a training population (TP). The effectiveness of GS increases as the correlation of GEBVs and phenotypes (accuracy) increases. Using phenotypic and genotypic data from a TP of 470 soft winter wheat lines, we assessed the accuracy of GS for grain yield, Fusarium Head Blight (FHB) resistance, softness equivalence… CONTINUE READING
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