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Toward Redesigning Hybrid Maize Breeding Through Genomics-Assisted Breeding

  • D. C. Kadam
  • A. J. LorenzEmail author
Chapter
Part of the Compendium of Plant Genomes book series (CPG)

Abstract

The pure line method of corn breeding proposed by George Shull in 1909 provided the foundation for contemporary hybrid breeding. This method involved development of inbreds by self-pollination and their subsequent evaluation in single-cross combinations. Over the past hundred years, this method underwent several modifications to efficiently generate homozygous inbred lines and identify superior hybrid combinations. Nevertheless, identification of promising pairs of lines that produce superior commercial hybrids is still challenging and constitutes the most expensive and critical operation in hybrid breeding. Advances in genotyping, predictive modeling, and computational capacities in recent years led to the development genome-based approaches for prediction of genetic values for complex traits. Simulation and experimental studies of genomic prediction of hybrid performance in maize have shown very promising results. With this background, we describe in this chapter a typical structure of a contemporary phenotypic hybrid maize breeding program; introduce the genomic selection (GS) approach and its application to a hybrid maize breeding pipeline; and review results of genomic prediction studies for hybrid maize, with particular emphasis on prediction of single crosses. We conclude with a discussion on future research needs and potential alternative hybrid breeding schemes in light of the rapidly developing field of genomics-assisted breeding.

Keywords

Genomic selection Hybrid breeding Single-cross performance General combining ability Specific combining ability Genetic gain 

Notes

Acknowledgements

We thank Amritpal Singh for the helpful discussion during the preparation of outline of this chapter. Dnyaneshwar C. Kadam was supported by Indian Council of Agricultural Research International Fellowship (ICAR-IF).

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Authors and Affiliations

  1. 1.Department of Agronomy and Plant GeneticsUniversity of MinnesotaMinneapolisUSA

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