Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big Data

Alison R Bentley; Charles Chen; Nunzio D'Agostino

doi:10.3389/fgene.2022.873060

Editorial: Genome Wide Association Studies and Genomic Selection for Crop Improvement in the Era of Big Data

Front Genet. 2022 May 20:13:873060. doi: 10.3389/fgene.2022.873060. eCollection 2022.

Authors

Alison R Bentley^{1

2}, Charles Chen³, Nunzio D'Agostino⁴

Affiliations

¹ International Wheat and Maize Improvement Center (CIMMYT), El Batan, Mexico.
² NIAB, Cambridge, United Kingdom.
³ Department of Biochemistry and Molecular Biology, 246 Noble Research Center, Oklahoma State University, Stillwater, OK, United States.
⁴ Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy.

No abstract available

Keywords: allele mining; genetic diversity; genome-to-phenome; genomic estimated breeding values (GEBV); genotyping; high-throughput phenotyping (HTPP).

Publication types

Editorial