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Diversifying maize genomic selection models

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Abstract

Genomic selection (GS) is one of the most powerful tools available for maize breeding. Its use of genome-wide marker data to estimate breeding values translates to increased genetic gains with fewer breeding cycles. In this review, we cover the history of GS and highlight particular milestones during its adaptation to maize breeding. We discuss how GS can be applied to developing superior maize inbreds and hybrids. Additionally, we characterize refinements in GS models that could enable the encapsulation of non-additive genetic effects, genotype by environment interactions, and multiple levels of the biological hierarchy, all of which could ultimately result in more accurate predictions of breeding values. Finally, we suggest the stages in a maize breeding program where it would be beneficial to apply GS. Given the current sophistication of high-throughput phenotypic, genotypic, and other -omic level data currently available to the maize community, now is the time to explore the implications of their incorporation into GS models and thus ensure that genetic gains are being achieved as quickly and efficiently as possible.

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Acknowledgements

Special thanks to Dr. Samuel Fernandes and Sarah Widener for their helpful comments on the manuscript.

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This project is funded by the National Science Foundation Plant Genome Research Project, award number 1733606.

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Correspondence to Alexander E. Lipka.

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This article is part of the Topical Collection on Maize Genetics, Genomics and Sustainable Improvement

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Rice, B.R., Lipka, A.E. Diversifying maize genomic selection models. Mol Breeding 41, 33 (2021). https://doi.org/10.1007/s11032-021-01221-4

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  • DOI: https://doi.org/10.1007/s11032-021-01221-4

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