Nature Communications (May 2020)

Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth

  • Hao Tong,
  • Anika Küken,
  • Zoran Nikoloski

DOI
https://doi.org/10.1038/s41467-020-16279-5
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 9

Abstract

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An increase in genomic selection (GS) accuracy can accelerate genetic gain by shortening the breeding cycles. Here, the authors introduce a network-based GS method that uses metabolic models and improves the prediction accuracy of Arabidopsis growth within and across environments.