Logo image
Genomic selection in plant breeding: Methods, models, and perspectives
Journal article   Peer reviewed

Genomic selection in plant breeding: Methods, models, and perspectives

J. Crossa, P. Pérez-Rodríguez, J. Cuevas, O. Montesinos-López, D. Jarquin, G. de los Campos, J. Burgueño, J.M. González-Camacho, S. Pérez-Elizalde, Y. Beyene, …
Trends in Plant Science, Vol.22(11), pp.961-975
2017
url
Link to Published Version *Subscription may be requiredView

Abstract

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.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Highly Cited Paper 
Collaboration types
Domestic collaboration
International collaboration
Citation topics
3 Agriculture, Environment & Ecology
3.51 Dairy & Animal Sciences
3.51.115 Livestock Reproduction
Web Of Science research areas
Plant Sciences
ESI research areas
Plant & Animal Science
Logo image