Developing new methods for the application of cross prediction, QTL analysis and comparisons of breeding strategies

Chapman, S. C., Chenu, K., Rebetzke, G. J., Dieters, M., Hammer, G. L. and Wang, J. (2009). Developing new methods for the application of cross prediction, QTL analysis and comparisons of breeding strategies. In: Edilberto Redona, Proceedings of the Joint 14th Australasian Plant Breeding Conference and 11th SABRAO Congress. 14th Australasian Plant Breeding Conference (APBC) and the 11th Congress of the Society for the Advancement of Breeding Research in Asia and Oceania (SABRAO), Cairns, Australia, (1-19). 10-14 August 2009.

Author Chapman, S. C.
Chenu, K.
Rebetzke, G. J.
Dieters, M.
Hammer, G. L.
Wang, J.
Title of paper Developing new methods for the application of cross prediction, QTL analysis and comparisons of breeding strategies
Conference name 14th Australasian Plant Breeding Conference (APBC) and the 11th Congress of the Society for the Advancement of Breeding Research in Asia and Oceania (SABRAO)
Conference location Cairns, Australia
Conference dates 10-14 August 2009
Proceedings title Proceedings of the Joint 14th Australasian Plant Breeding Conference and 11th SABRAO Congress   Check publisher's open access policy
Journal name SABRAO Journal of Breeding and Genetics   Check publisher's open access policy
Place of Publication Bangkok, Thailand
Publisher Society for Advancement of Breeding Research in Asia and Oceania
Publication Year 2009
Year available 2009
Sub-type Fully published paper
ISSN 1029-7073
Editor Edilberto Redona
Volume 41
Issue Supp.
Start page 1
End page 19
Total pages 19
Collection year 2010
Language eng
Formatted Abstract/Summary
With the increased availability of molecular marker and gene sequence information, a major challenge for plant breeders is how to incorporate this information to increase genetic gain through improvements in both crossing and selection decisions. Simulation allows testing and development of new methods now, i.e., before breeding programs have the data needed to apply such methods in practice. This paper outlines software applications that have been built around the existing QU-Gene genetic simulation platform. Three examples are given: (1) prediction of inbred phenotypes from simple and complex crosses while accounting for linkage and additive, epistatic, environmental and error effects (example for wheat); (2) comparisons of direct and indirect selection to facilitate the testing of novel QTL analysis and selection scenarios (leaf growth in maize); (3) accounting for genetic and physiological pleiotropy via the integration of genetic and crop simulation tools (maize).

A user interface (http://www.uq.edu.au/lcafs/qugene/) has examples of scenarios in these areas of plant breeding and provides a complete set of tools to utilise genetic map and QTL effect information via simulation. While the system can run on a single computer, it has been designed to run on dedicated or ‘virtual’ computer clusters (up to 2000 computers within CSIRO) and incorporates a series of high-speed database and visualisation tools that also provide output to common data formats.
Subjects 820507 Wheat
070305 Crop and Pasture Improvement (Selection and Breeding)
Keyword Wheat
Sorghum
Genetic simulation
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Proceedings of the Joint 14th Australasian Plant Breeding Conference and 11th SABRAO Congress held on August 9-14, 2009 at Cairns Convention Center, Cairns Australia were published in a special issue (Special Supplement August 2009) of the journal as CD-ROM.

 
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Created: Fri, 23 Apr 2010, 14:49:53 EST by Kaye Hunt on behalf of School of Land, Crop and Food Sciences