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

  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},
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
Highly Cited
This paper has 56 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 4 times over the past 90 days. VIEW TWEETS


Publications citing this paper.
Showing 1-10 of 22 extracted citations

56 Citations

Citations per Year
Semantic Scholar estimates that this publication has 56 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 70 references

Core Team. R: a language and environment for statistical computing. [Internet

  • Vienna: R Foundation for Statistical Computing;
  • 2014
Highly Influential
2 Excerpts

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

Similar Papers

Loading similar papers…