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Gramene QTL Database

E.g., development, vegetative*, VGTM, QTL*, AQEZ001. Or view help.

Quantitative Trait Loci (QTL) are essentially a statistical creation that identifies a particular region of the genome as containing one or more genes, and that region is associated with the trait being measured. A QTL is shown as an interval across a chromosome where the probability of association is plotted for each marker used in the mapping experiment.

The Gramene QTL database includes QTL identified for numerous agronomic traits in rice, maize, barley, oat, sorghum, pearl millet, foxtail millet and wild rice. The emphasis is on presenting QTLs with both information on associated traits and a mapped locus on a genetic map.

QTL Search or Browse Options

Home Page: Introduction and Quick search - Search the QTL database by trait name, symbol, or category; Linkage group; QTL accession ID; or Species. Use the symbol * for wild card search (e.g. seed*, SDCL, development, AQT007).
Simple Search: Search a term as in quick search, but restricted by Field Name or Species; or Browse by trait category.
Power Search: Filter search by including or excluding one or more specific trait names, species, and linkage groups.

Help

Help Presents an overview on how to use the QTL database and lists explanations of field names.
Tutorial More in-depth than the help pages, use the tutorial for an example of using the database, see how it integrates other datasets, and get tips to increase your data search efficiency.
FAQ Frequently Asked Questions - see what questions users have asked, and get the developers answers.
Release Notes For more information about the most recent release.

Submission

If you wish to submit QTL data, please follow the instructions on our documentation site.

Download

The data can be downloaded in bulk from our FTP site.

Acknowledgements

We acknowledge the numerous authors of rice and maize QTL publications who have kindly shared information with us on QTLs, markers and maps by way of personal communication. For a list of data contributors, please see Collaborators and Contributors.