Functional Genomic Selection in Crop Breeding

Yongle Li

doi:10.1007/978-1-0716-0235-5_9

Functional Genomic Selection in Crop Breeding

Methods Mol Biol. 2020:2107:189-198. doi: 10.1007/978-1-0716-0235-5_9.

Author

Yongle Li¹

Affiliation

¹ School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, SA, Australia. yongle.li@adelaide.edu.au.

PMID: 31893448
DOI: 10.1007/978-1-0716-0235-5_9

Abstract

Genomic selection (GS) is rapidly being adopted by many plant and animal breeding programs. New statistical methods that increase prediction accuracy are needed to enable effective GS. This chapter will introduce a prediction method that makes use of the biological functions of DNA markers.

Keywords: GWAS; Genomic selection; Molecular markers; Plant breeding; Prediction accuracy.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology / methods
Crops, Agricultural / genetics
Crops, Agricultural / growth & development*
Genetic Markers*
Genome-Wide Association Study
Models, Statistical
Plant Breeding / methods*
Plant Proteins / genetics
Selection, Genetic

Substances

Genetic Markers
Plant Proteins