QTL Data In MaizeGDB
QTL Research Tools | Discussion of QTL Data for the General Public
QTL Research Tools
QTL Locus Summary: You can evaluate, sort, and download all of the MaizeGDB QTL loci together in one place.
QTL Position Summary: You can evaluate and download all of the MaizeGDB QTL loci with map positions and flanking marker coordinates.
New! QTL Data Downloads: We are collecting QTL data files for download and use with QTL Cartographer. Please
Simple QTL Experiment Search:
The form below allows you to search quickly through our QTL data for particular QTL experiments. If you'd just like to see a list of these experiments, enter just the wild card character % into the search field.
The above example search lets you find all experiments conducted by Bill Beavis. Other interesting searches include Abler 1991 (shows the series of six Abler QTL experiments from 1991) or Veldbloom (a pair of highly-cited QTL experiments).
This search can be executed from any page on the site by selecting QTL Experiments from the pull-down menu in the upper right and entering your search terms in the field.
Simple Trait Search:
The form below allows you to search quickly through our trait data for particular traits. If you'd just like to see a list of all traits, put just the wild card character % into the search field.
The above example search lets you find all traits related to kernel weight. Other interesting searches include abscisic acid and ATP.
This search can be executed from any page on the site by selecting Traits from the pull-down menu in the upper right and entering your search terms in the field.
QTL Experiment Browser
Discussion of QTL Data for the General Public
What is a QTL?
A QTL (or quantitative trait locus) refers to a particular region of DNA that is associated with a particular trait. This association is made through statistical methods based on the counting and measurement of easily-observed traits, such as the weight of 1000 kernels, the height of the second leaf at a particular stage of development, and so forth.
MaizeGDB contains data outlining experiments that have statistically determined the approximate location of a set of QTLs at once, comprising a map that describes the distances between the loci numerically.
Want to see an example? The experiment Schon 1994a was performed to establish a statistical relationship between 1000-kernel weight, plant height, and kernel protein content. The result of this experiment was a map, which researchers can then use to help understand the genetic basis for that data.
What value does storing and studying QTL data have?
The data produced from this experiment provides statistical evidence for the relationship between traits. Geneticists can use this information to help determine gene location and function.
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Last updated 11:38 am, Nov 01, 2011.