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ARS Home » Pacific West Area » Albany, California » Western Regional Research Center » Crop Improvement and Genetics Research » Research » Publications at this Location » Publication #391544
Research Project: GrainGenes: Enabling Data Access and Sustainability for Small Grains Researchers

Location: Crop Improvement and Genetics Research

Title: GrainGenes: Tools and content to assist breeders improving oat quality

Author
item BLAKE, VICTORIA - Montana State University
item WIGHT, CHARLENE - Agriculture And Agri-Food Canada
item YAO, ERIC - University Of California
item Sen, Taner

Submitted to: Foods
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 3/17/2022
Publication Date: 3/23/2022
Citation: Blake, V.C., Wight, C.P., Yao, E., Sen, T.Z. 2022. GrainGenes: Tools and content to assist breeders improving oat quality. Foods. 11(7). Article 914. https://doi.org/10.3390/foods11070914.
DOI: https://doi.org/10.3390/foods11070914

Interpretive Summary: GrainGenes is one of the ARS flagship databases, housing wheat, barley, rye, and oat genomic, genetic, and phenotypic data. One of its goals is to provide resources for plant breeders to improve quality, yield, and disease resistance for their crops. In this work, we present tools and resources at GrainGenes and how these can be used by oat geneticists and breeders to reach genetic and genomic information about oat markers for groat percentage, test weight, protein, fat, and glucan content, as well as genomic regions that control these traits to enhance oat breeding.

Technical Abstract: GrainGenes (https://wheat.pw.usda.gov), the USDA-ARS database and Web resource for the small grains wheat, barley, oat, rye, and their relatives, strives to provide resources for plant breeders to improve quality, yield, and disease resistance. Quantitative trait loci, genes, and genetic maps for quality attributes of oat, including groat percentage, test weight, protein, fat, and glucan content, are current and represent the historical approach to mapping genes for these traits. CMap, the comparative mapping tool, enables researchers to enrich genetic markers around their genes of interest by using a consensus map to provide a bridge between sparsely populated genetic maps. Genome browsers at GrainGenes are being populated with manually curated tracks, beginning with significant markers for beta-glucan QTL found via GWAS and cloned cellulose synthase-like AsClF6 alleles.