Site Overview and Guide
The ABT is organized around the following features and tools:
The homepage search tools allow the user to search, view and/or download information about genomic and genetic datasets, query specific germplasm of interest (cultivars or Plant Introductions, PIs), or phenotypic descriptors.
The genome browser includes the genomes of Medicago truncatula and diploid M. sativa (alfalfa). Using the browser, you can search by a specific genomic position or scroll right and left to browse regions of interest (for example, around specific genes or genetic markers).
This feature enables searching user-defined genomes available in the ABT for a particular sequence or group of sequences. Specific examples may include searching for a specific gene(s) of interest - perhaps from a related species – with the goal to identify similar sequences in the Medicago genomes.
Gene Expression Atlas
The gene expression atlas enables searching genes differentially expressed in different tissues or in response to different abiotic stress response. The search can be initiated by gene name or annotation and also enables users to identify co-expression networks.
Germplasm information includes phenotypic data for agronomic performance and other trait descriptors of common alfalfa cultivars and PIs from the Germplasm Resource Information Network (GRIN).
Community Resources and External Links
Includes information relevant to the Medicago scientific community, access to posters presented at scientific meetings and genomic resources that integrate genomic resources from other legume species. Please contact us if you would like to include information about additional legume resources here.
Farmers and Producers
Includes information on how to select the best alfalfa cultivars for planting, best practices to grow and manage alfalfa in different geographical regions, access production data from alfalfa State variety trials, link to the Alfalfa University and description of how to calibrate field equipment and sample soils for testing.
We welcome alfalfa data previously published in scientific journals. Please contact us if you would like to contribute data (genotyping, mapping, phenotyping, etc).