Skip to main content
  • Facebook
  • Twitter
  • YouTube
  • LinkedIn
  • Google Plus
  • Other GSA Resources
    • Genetics Society of America
    • G3: Genes | Genomes | Genetics
    • Genes to Genomes: The GSA Blog
    • GSA Conferences
    • GeneticsCareers.org
  • Log in
Genetics

Main menu

  • HOME
  • ISSUES
    • Current Issue
    • Early Online
    • Archive
  • ABOUT
    • About the journal
    • Why publish with us?
    • Editorial board
    • Contact us
  • SERIES
    • Centennial
    • Genetics of Immunity
    • Genetics of Sex
    • Genomic Selection
    • Multiparental Populations
    • FlyBook
    • WormBook
    • YeastBook
  • ARTICLE TYPES
    • About Article Types
    • Commentaries
    • Editorials
    • GSA Honors and Awards
    • Methods, Technology & Resources
    • Perspectives
    • Primers
    • Reviews
    • Toolbox Reviews
  • PUBLISH & REVIEW
    • Scope & publication policies
    • Submission & review process
    • Article types
    • Prepare your manuscript
    • Submit your manuscript
    • After acceptance
    • Guidelines for reviewers
  • SUBSCRIBE
    • Why subscribe?
    • For institutions
    • For individuals
    • Email alerts
    • RSS feeds
  • Other GSA Resources
    • Genetics Society of America
    • G3: Genes | Genomes | Genetics
    • Genes to Genomes: The GSA Blog
    • GSA Conferences
    • GeneticsCareers.org

User menu

Search

  • Advanced search
Genetics

Advanced Search

  • HOME
  • ISSUES
    • Current Issue
    • Early Online
    • Archive
  • ABOUT
    • About the journal
    • Why publish with us?
    • Editorial board
    • Contact us
  • SERIES
    • Centennial
    • Genetics of Immunity
    • Genetics of Sex
    • Genomic Selection
    • Multiparental Populations
    • FlyBook
    • WormBook
    • YeastBook
  • ARTICLE TYPES
    • About Article Types
    • Commentaries
    • Editorials
    • GSA Honors and Awards
    • Methods, Technology & Resources
    • Perspectives
    • Primers
    • Reviews
    • Toolbox Reviews
  • PUBLISH & REVIEW
    • Scope & publication policies
    • Submission & review process
    • Article types
    • Prepare your manuscript
    • Submit your manuscript
    • After acceptance
    • Guidelines for reviewers
  • SUBSCRIBE
    • Why subscribe?
    • For institutions
    • For individuals
    • Email alerts
    • RSS feeds
Next Article

Genome Properties and Prospects of Genomic Prediction of Hybrid Performance in a Breeding Program of Maize

Frank Technow, Tobias A. Schrag, Wolfgang Schipprack, Eva Bauer, Henner Simianer and Albrecht E. Melchinger
Genetics Early online May 21, 2014; https://doi.org/10.1534/genetics.114.165860
Frank Technow
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tobias A. Schrag
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wolfgang Schipprack
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eva Bauer
Technische Universität München;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Henner Simianer
Georg-August-University Goettingen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Albrecht E. Melchinger
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: melchinger@uni-hohenheim.de
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
Loading

Abstract

Maize (Zea mays L.) serves as model plant for heterosis research and is the crop where hybrid breeding was pioneered. We analyzed genomic and phenotypic data of 1,254 hybrids of a typical maize hybrid breeding program based on the important Dent × Flint heterotic pattern. Our main objectives were to investigate genome properties of the parental lines (e.g., allele frequencies, linkage disequilibrium and phases) and examine the prospects of genomic prediction of hybrid performance. We found high consistency of linkage phases and large differences in allele frequencies between the Dent and Flint heterotic group in pericentromeric regions. These results can be explained by the Hill-Robertson effect and support the hypothesis of differential fixation of alleles due to pseudo-overdominance in these regions. In pericentromeric regions we also found indications for consistent marker-QTL linkage between heterotic groups. With prediction methods GBLUP and BayesB, the cross-validation prediction accuracy ranged from 0.75 to 0.92 for grain yield and from 0.59 to 0.95 for grain moisture. The prediction accuracy of untested hybrids was highest, if both parents were parents of other hybrids in the training set, and lowest, if none of them were involved in any training set hybrid. Optimizing the composition of the training set in terms of number of lines and hybrids per line could further increase prediction accuracy. We conclude that genomic prediction facilitates a paradigm shift in hybrid breeding by focusing on the performance of experimental hybrids rather than the performance of parental lines in testcrosses.

  • genomic prediction
  • heterotic groups
  • hybrid breeding
  • linkage phases
  • training set design
  • Received March 22, 2014.
  • Accepted May 19, 2014.
  • Copyright © 2014, The Genetics Society of America
Next Article
Back to top

PUBLICATION INFORMATION

Volume 208 Issue 4, April 2018

Genetics: 208 (4)

SUBJECTS

  • Genomic Selection

ARTICLE CLASSIFICATION

Investigation
Email

Thank you for sharing this Genetics article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Genome Properties and Prospects of Genomic Prediction of Hybrid Performance in a Breeding Program of Maize
(Your Name) has forwarded a page to you from Genetics
(Your Name) thought you would be interested in this article in Genetics.
Alerts
Enter your email below to set up alert notifications for new article, or to manage your existing alerts.
SIGN UP OR SIGN IN WITH YOUR EMAIL
View PDF
Share

Genome Properties and Prospects of Genomic Prediction of Hybrid Performance in a Breeding Program of Maize

Frank Technow, Tobias A. Schrag, Wolfgang Schipprack, Eva Bauer, Henner Simianer and Albrecht E. Melchinger
Genetics Early online May 21, 2014; https://doi.org/10.1534/genetics.114.165860
Frank Technow
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tobias A. Schrag
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wolfgang Schipprack
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eva Bauer
Technische Universität München;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Henner Simianer
Georg-August-University Goettingen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Albrecht E. Melchinger
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: melchinger@uni-hohenheim.de
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation

Genome Properties and Prospects of Genomic Prediction of Hybrid Performance in a Breeding Program of Maize

Frank Technow, Tobias A. Schrag, Wolfgang Schipprack, Eva Bauer, Henner Simianer and Albrecht E. Melchinger
Genetics Early online May 21, 2014; https://doi.org/10.1534/genetics.114.165860
Frank Technow
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tobias A. Schrag
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wolfgang Schipprack
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eva Bauer
Technische Universität München;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Henner Simianer
Georg-August-University Goettingen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Albrecht E. Melchinger
University of Hohenheim;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: melchinger@uni-hohenheim.de

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Related Articles

Cited By

More in this TOC Section

  • Regulation of Cell-to-Cell Communication and Cell Wall Integrity by a Network of MAP-Kinase Pathways and Transcription Factors in Neurospora crassa
  • Discovery of Lineage-Specific Genome Change in Rice Through Analysis of Resequencing Data
  • Improved Use of Small Reference Panels for Conditional and Joint Analysis with GWAS Summary Statistics
Show more Investigation
  • Top
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics

GSA

The Genetics Society of America (GSA), founded in 1931, is the professional membership organization for scientific researchers and educators in the field of genetics. Our members work to advance knowledge in the basic mechanisms of inheritance, from the molecular to the population level.

Online ISSN: 1943-2631

  • For Authors
  • For Reviewers
  • For Subscribers
  • Submit a Manuscript
  • Editorial Board
  • Press Releases

SPPA Logo

GET CONNECTED

RSS  Subscribe with RSS.

email  Subscribe via email. Sign up to receive alert notifications of new articles.

  • Facebook
  • Twitter
  • YouTube
  • LinkedIn
  • Google Plus

Copyright © 2018 by the Genetics Society of America

  • About GENETICS
  • Terms of use
  • Advertising
  • Permissions
  • Contact us
  • International access