Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations
Haixiao Hu, Malachy T. Campbell, Trevor H. Yeats, Xuying Zheng, Daniel E. Runcie, Giovanny E. Covarrubias-Pazaran, Corey D. Broeckling, Linxing Yao, Melanie Caffe, Lucı́a Gutiérrez, Kevin P. Smith, James Tanaka, Owen A. Hoekenga, Mark E. Sorrells, Michael A. Gore, Jean‐Luc Jannink
This study evaluates multi-omics prediction models for oat traits across environments and populations, showing improved accuracy over genomic prediction with SNP data.
Theoretical and Applied Genetics · Oct 13, 2021Peer-reviewedGenetics