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U.S. Public Domain
[Open Data]

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Data from: A First Look at the Ability to Use Genomic Prediction for Improving Ratooning Ability of Sugarcane

The filtered VCF file of 10501 SNPs from the 432 individuals in this study. This dataset was used for genome-wide association study (GWAS) and genomic prediction of sugarcane ratooning ability. It was developed using Rapid Genomics Capture-Seq technology.

Resources in this dataset:

  • Resource Title: SNP data for 432 Sugarcane Clones
    File Name: sugarcane.10501.SNPs_.432.Inds_.vcf
See all >>
FieldValue
Tags
genomic selection
sugarcane
ratooning
genomics
GWAS
np301
candidate gene
molecular trait association
sugarcane production
Modified
2023-08-07
Release Date
2023-05-10
Identifier
7cfef4f0-d123-4770-ac5a-61044f4e7cd9
Spatial / Geographical Coverage Area
POLYGON ((-80.795418480411 26.602987010735, -80.795418480411 26.753646232271, -80.580224012956 26.753646232271, -80.580224012956 26.602987010735))
Publisher
Ag Data Commons
Temporal Coverage
November 1, 2016 to November 1, 2018
License
U.S. Public Domain
Contact Name
Islam, Md. Sariful
Contact Email
md.islam@usda.gov
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service
Extended Metadata: 
FieldValue
Authors
Sarif, Md S. (Scopus Author ID)
Hulse-Kemp, Amanda M. (ORCID)
Corak, Keo E. (ORCID)
Lipka, Alexander E (ORCID)
McCord, Per (Scopus Author ID)
Peer Reviewed
No
Funding Sources
Agricultural Research Service
6030-21000-006-00-D
Agricultural Research Service
6066-21310-005-00D
Primary Article

Islam, M. S., Corak, K., McCord, P., Hulse-Kemp, A. M., & Lipka, A. E. (2023). A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1205999
Dataset DOI (digital object identifier)
10.15482/USDA.ADC/1528986
FieldValue
OSTI Identifier
ISO Topic(s)
farming
National Agricultural Library Thesaurus Term
genomics
prediction
ratooning
sugarcane
single nucleotide polymorphism
marker-assisted selection
genome-wide association study
Ag Data Commons Keywords
  • Agricultural Products
  • Plants
  • Specialty crops
  • Agricultural Products
  • Plants
  • Agricultural Products
  • Plants & Crops
  • Crop production
  • Plants & Crops
  • Genomics & Genetics

Suggested Citations:

(original article) Islam, M. S., Corak, K., McCord, P., Hulse-Kemp, A. M., & Lipka, A. E. (2023). A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1205999

(dataset) Sarif, Md S.; Hulse-Kemp, Amanda M.; Corak, Keo E.; Lipka, Alexander E; McCord, Per (2023). Data from: A First Look at the Ability to Use Genomic Prediction for Improving Ratooning Ability of Sugarcane. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1528986. Accessed 2023-12-02.