Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-23T11:01:49.720Z Has data issue: false hasContentIssue false
  • English
  • Français

Marker-assisted selection using ridge regression

Published online by Cambridge University Press:  01 April 2000

JOHN C. WHITTAKER ,
ROBIN THOMPSON  and
MIKE C. DENHAM
JOHN C. WHITTAKER
Affiliation:
Department of Applied Statistics, University of Reading, PO Box 240, Earley Gate, Reading RG6 2FN, UK
ROBIN THOMPSON
Affiliation:
IACR Rothamsted, Harpenden, Herts AL5 2JQ, UK, and Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, UK
MIKE C. DENHAM
Affiliation:
Department of Applied Statistics, University of Reading, PO Box 240, Earley Gate, Reading RG6 2FN, UK
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In crosses between inbred lines, linear regression can be used to estimate the correlation of markers with a trait of interest; these marker effects then allow marker assisted selection (MAS) for quantitative traits. Usually a subset of markers to include in the model must be selected: no completely satisfactory method of doing this exists. We show that replacing this selection of markers by ridge regression can improve the mean response to selection and reduce the variability of selection response.

Type
Research Article
Information
Genetics Research , Volume 75 , Issue 2 , April 2000 , pp. 249 - 252
Copyright
© 2000 Cambridge University Press