Accuracy and responses of genomic selection on key traits in apple breeding

@inproceedings{Muranty2015AccuracyAR,
  title={Accuracy and responses of genomic selection on key traits in apple breeding},
  author={H{\'e}l{\`e}ne Muranty and Michela Troggio and In{\`e}s Ben Sadok and Mehdi Al Rifa{\"i} and Annemarie Auwerkerken and Elisa Banchi and Riccardo Velasco and Piergiorgio Stevanato and W. Eric van de Weg and Mario Di Guardo and Satish Kumar and François N. D. Laurens and Marco C. A. M. Bink},
  booktitle={Horticulture Research},
  year={2015}
}
The application of genomic selection in fruit tree crops is expected to enhance breeding efficiency by increasing prediction accuracy, increasing selection intensity and decreasing generation interval. The objectives of this study were to assess the accuracy of prediction and selection response in commercial apple breeding programmes for key traits. The training population comprised 977 individuals derived from 20 pedigreed full-sib families. Historic phenotypic data were available on 10 traits… CONTINUE READING
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Core Team. R: a language and environment for statistical computing. [Internet

  • Vienna: R Foundation for Statistical Computing;
  • 2014
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Evaluation of genomic selection training population designs and genotyping strategies in plant breeding programs using simulation

  • JM Hickey, S Dreisigacker, J Crossa
  • Crop Sci
  • 2014

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