%O The authors are grateful to their colleagues, collaborators, and by using
field and lab technician from CIMMYT and
ICRISAT, as well as scientists in National Programs who collected the valuable data used in the various studies. The
authors would like to thank Kevin Pixley, Daniel Gianola, and four anonymous reviewers for their positive, careful, and
detailed reviews of the manuscript; their comments, editing, and suggestions significantly improved the quality and
readability of the manuscript. The authors also thank Michael Listman for editing the revised version of the manuscript.
%K genomic selection; genomic-enabled prediction accuracy; model complexity; models for genomic genotype × environment interaction; genomic selection and genetic gains in crop breeding populations
%A J Crossa
%A P Pérez-Rodríguez
%A J Cuevas
%A O Montesinos-López
%A D Jarquín
%A G de los Campos
%A J Burgueño
%A J M González-Camacho
%A S Pérez-Elizalde
%A Y Beyene
%A S Dreisigacker
%A R Singh
%A X Zhang
%A M Gowda
%A M Roorkiwal
%A J Rutkoski
%A R K Varshney
%I Elsevier
%V 22
%L icrisat10280
%J Trends in Plant Science
%N 11
%P 961-975
%R 10.1016/j.tplants.2017.08.011
%D 2017
%X Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates the breeding cycle. In this review, we discuss the history, principles, and basis of GS and genomic-enabled prediction (GP) as well as the genetics and statistical complexities of GP models, including genomic genotype × environment (G × E) interactions. We also examine the accuracy of GP models and methods for two cereal crops and two legume crops based on random cross-validation. GS applied to maize breeding has shown tangible genetic gains. Based on GP results, we speculate how GS in germplasm enhancement (i.e., prebreeding) programs could accelerate the flow of genes from gene bank accessions to elite lines. Recent advances in hyperspectral image technology could be combined with GS and pedigree-assisted breeding.
%T Genomic Selection in Plant Breeding: Methods, Models, and Perspectives