Effect of population size and unbalanced data sets on QTL detection using genome-wide association mapping in barley breeding germplasm

@article{Wang2011EffectOP,
  title={Effect of population size and unbalanced data sets on QTL detection using genome-wide association mapping in barley breeding germplasm},
  author={Hongyun Wang and Kevin P. Smith and Emily Combs and Tom Blake and Richard D. Horsley and Gary J Muehlbauer},
  journal={Theoretical and Applied Genetics},
  year={2011},
  volume={124},
  pages={111-124}
}
Over the past two decades many quantitative trait loci (QTL) have been detected; however, very few have been incorporated into breeding programs. The recent development of genome-wide association studies (GWAS) in plants provides the opportunity to detect QTL in germplasm collections such as unstructured populations from breeding programs. The overall goal of the barley Coordinated Agricultural Project was to conduct GWAS with the intent to couple QTL detection and breeding. The basic idea is… CONTINUE READING
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