Open Access Research article

Quantitative Trait Locus (QTL) meta-analysis and comparative genomics for candidate gene prediction in perennial ryegrass (Lolium perenne L.)

Hiroshi Shinozuka12, Noel OI Cogan12, German C Spangenberg123 and John W Forster123*

Author Affiliations

1 Department of Primary Industries, Biosciences Research Division, Victorian AgriBiosciences Centre, 1 Park Drive, La Trobe University Research and Development Park, Bundoora, Victoria 3083, Australia

2 Dairy Futures Cooperative Research Centre, Bundoora, Australia

3 La Trobe University, Bundoora, Victoria 3086, Australia

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BMC Genetics 2012, 13:101  doi:10.1186/1471-2156-13-101

Published: 8 November 2012

Additional files

Additional file 1:

Summary information on QTLs identified through use of perennial ryegrass-based genetic mapping populations. QTLs are designated according to the following nomenclature: trait/date/condition abbreviation_experiment replication number/location_genetic map/population name_LG location_QTL identity (e.g. a or b) for the purpose of locus discrimination, as needed. For analysis type, IM, SIM, CIM, MQM and SMR stand for interval mapping, simple interval mapping, composite interval mapping, multiple QTL mapping and single-marker regression. When multiple parameters (e.g. SIM and CIM) are used for QTL detection, only QTLs identified with the representative parameter are shown. For population type, 1-way, 2-way and F2 stand for one-way pseudo-testcross population, two-way pseudo-testcross population and F2 genetic mapping population types.

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Additional file 2:

Nomenclature of prefixes denoting classes of DNA-based marker.

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Additional file 3:

Distribution of QTLs in each trait class on the seven perennial ryegrass LGs.

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