Royal Holloway, University of London
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LRLAC.snps.filt_info_dp3_maf5_den90_imis50.vcf.gz (263.61 MB)
DATASET
EIC-Areas of chemical features extracted in LEAF extracts.xlsx (3.51 MB)
DATASET
EIC-Areas of chemical features extracted in ROOT extracts_2020 subset.xlsx (2.11 MB)
DATASET
EIC-Areas of chemical features extracted in ROOT extracts_All crops.xlsx (4.85 MB)
DATASET
QCISNormAreas of chemical features extracted in LEAF extracts_input for MVA.xlsx (3.5 MB)
DATASET
QCISNormAreas of chemical features extracted in Root 2020 subset_input for MVA.xlsx (760.86 kB)
DATASET
QCISNormAreas of chemical features extracted in Root all crops_input for MVA.xlsx (4.75 MB)
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Cassava Diversity datasets

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posted on 2022-12-08, 16:40 authored by Laura PerezLaura Perez, Paul FraserPaul Fraser, Margit DrapalMargit Drapal, Adriana Bohorquez-Chaux, Luis Augusto Becerra Lopez-Lavalle, Tatiana Melissa Ovalle, Maria Alejandra Ospina

Datasets of untargeted metabolomics analysis of cassava leaf and root tissue of Latin American cassava germplasm collection.

Genotyping RADseq dataset of Latin American cassava germplasm collection.

Funding

To solve the African cassava whitefly problem in three East African countries and prevent further whitefly-borne, cassava-virus pandemics

Bill & Melinda Gates Foundation

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Research Program on Roots, Tubers and Bananas (RTB), CGIAR

History

Date Created

December 2021

Date Available

2022-12-01

File Formats

xlsx vcf.gz

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    Biological Sciences

    Categories

    Keywords

    metabolomic analysisgenotypingphenotypingCassava (Manihot esculenta)Genetic Diversity

    Licence

    CC BY 4.0

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