Location: National Clonal Germplasm Repository
Title: Updates on curation and standardization of phenotypic and genotypic data for horticultural databasesAuthor
Bushakra, Jill | |
JUNG, SOOK - Washington State University | |
Bassil, Nahla | |
CHENG, CHUN-HUAI - Washington State University | |
LEE, TAEIN - Washington State University | |
YU, JING - Washington State University | |
HUMANN, JODI - Washington State University | |
BUBLE, KATHERYN - Washington State University | |
ZHENG, PING - Washington State University | |
MAIN, DORRIE - Washington State University |
Submitted to: American Society of Horticulture Science Meeting
Publication Type: Abstract Only Publication Acceptance Date: 3/3/2024 Publication Date: 9/23/2024 Citation: Bushakra, J., Jung, S., Bassil, N.V., Cheng, C., Lee, T., Yu, J., Humann, J.L., Buble, K., Zheng, P., Main, D. 2024. Updates on curation and standardization of phenotypic and genotypic data for horticultural databases. American Society of Horticulture Science Meeting. Interpretive Summary: Technical Abstract: The Genome Database for Rosaceae (GDR, https://www.rosaceae.org/), CottonGen (https://cottongen.org/), Pulse Crop Database (PCD, https://www.pulsedb.org/), Genome Database for Vaccinium (GDV, https://www.vaccinium.org/), and Citrus Genome Database (CGD, https://www.citrusgenomedb.org/) are the databases of the NRSP10 project. Germplasm and diversity data in NRSP10 databases include publicly available phenotype and genotype data from researchers, publications, and public repositories such as GRIN. Genotype data include SSR genotype, SNP genotype, and haplotype data. These data from various sources are integrated with other types of data such as whole genome data, QTLs and GWAS using standardized trait terms, marker names, accession names and genome positions. Our new efforts include standardizing trait descriptors from various sources and developing Crop Ontology terms. This presentation will describe our progress on the standardization effort as well as the new data in our databases and how to access each of the data types, genotype, phenotype, and haplotype data. |