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Genomic Selection in Rice Breeding

  • Jennifer Spindel
  • Hiroyoshi Iwata
Chapter

Abstract

Genomic selection (GS) is a new breeding method that makes use of genome-wide DNA marker data to improve the efficiency of breeding for quantitative traits. In GS, individuals with superior breeding values are identified and selected based on prediction models built by correlating phenotype and genotype in a breeding population of interest. The potential of GS to improve rice breeding efficiency has recently been evidenced by a number of empirical and simulation studies; however efforts to implement GS in rice breeding are still limited, particularly as compared to other major grain crops such as maize and wheat. In this chapter, we discuss a variety of GS modeling methods, practical considerations for implementing GS in rice breeding programs, and the rapid evolution of GS technology. We conclude with a discussion of what this means for GS technology in the future.

Keywords

Whole-genome selection Genomic prediction Breeding values Prediction models Statistical models Implementation in rice breeding Omics-aided breeding 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Lawrence Berkeley National LaboratoryJoint Genome InstituteWalnut CreekUSA
  2. 2.Graduate School of Agricultural and Life SciencesThe University of TokyoBunkyo, TokyoJapan

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