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Datasets from harmonised metabolic phenotyping of root, tuber and banana crop

dc.contributor.authorDrapal, M.
dc.contributor.authorPerez-Fons, L.
dc.contributor.authorPrice, E.J.
dc.contributor.authorAmah, D.
dc.contributor.authorBhattacharjee, R.
dc.contributor.authorHeider, B.
dc.contributor.authorRouard, M.
dc.contributor.authorSwennen, R.
dc.contributor.authorLopez-Lavalle, L.A.
dc.contributor.authorFraser, P.D.
dc.date.accessioned2022-04-07T09:16:51Z
dc.date.available2022-04-07T09:16:51Z
dc.date.issued2022-06
dc.identifier.citationDrapal, M., Perez-Fons, L., Price, E.J., Amah, D., Bhattacharjee, R., Heider, B., ... & Fraser, P.D. (2022). Datasets from harmonised metabolic phenotyping of root, tuber and banana crop. Data in Brief, 42, :108041, 1-9.
dc.identifier.issn2352-3409
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7410
dc.description.abstractBiochemical characterisation of germplasm collections and crop wild relatives (CWRs) facilitates the assessment of biological potential and the selection of breeding lines for crop improvement. Data from the biochemical characterisation of staple root, tuber and banana (RTB) crops, i.e. banana (Musa spp.), cassava (Manihot esculenta), potato (Solanum tuberosum), sweet potato (Ipomoea batatas) and yam (Dioscorea spp.), using a metabolomics approach is presented. The data support the previously published research article “Metabolite database for root, tuber, and banana crops to facilitate modern breeding in understudied crops” (Price et al., 2020) [1]. Diversity panels for each crop, which included a variety of species, accessions, landraces and CWRs, were characterised. The biochemical profile for potato was based on five elite lines under abiotic stress. Metabolites were extracted from the tissue of foliage and storage organs (tuber, root and banana pulp) via solvent partition. Extracts were analysed via a combination of liquid chromatography – mass spectrometry (LC-MS), gas chromatography (GC)-MS, high pressure liquid chromatography with photodiode array detector (HPLC-PDA) and ultra performance liquid chromatography (UPLC)-PDA. Metabolites were identified by mass spectral matching to in-house libraries comprised from authentic standards and comparison to databases or previously published literature.
dc.description.sponsorshipCGIAR Fund Donors
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-9
dc.language.isoen
dc.subjectCrops
dc.subjectBananas
dc.subjectCassava
dc.subjectSweet Potatoes
dc.subjectYams
dc.subjectPotato
dc.titleDatasets from harmonised metabolic phenotyping of root, tuber and banana crop
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationRoyal Holloway University of London
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationInternational Potato Center
cg.contributor.affiliationBioversity International
cg.contributor.affiliationKatholieke Universiteit Leuven
cg.contributor.affiliationInternational Center for Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionEurope
cg.coverage.regionSouth America
cg.coverage.regionWest Africa
cg.coverage.countryBelgium
cg.coverage.countryColombia
cg.coverage.countryFrance
cg.coverage.countryNigeria
cg.coverage.countryPeru
cg.coverage.hubEastern Africa Hub
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidDRAPAL:2022
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectAgronomy
cg.iitasubjectBanana
cg.iitasubjectCassava
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectYam
cg.journalData in Brief
cg.notesOpen Access Journal; Published online: 12 Mar 2022
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1016/j.dib.2022.108041
cg.iitaauthor.identifierDelphine Amah: 0000-0002-5706-8773
cg.iitaauthor.identifierRanjana Bhattacharjee: 0000-0002-5184-5930
cg.iitaauthor.identifierBettina Heider: 0000-0002-9792-8512
cg.iitaauthor.identifierMathieu Rouard: 0000-0003-0284-1885
cg.iitaauthor.identifierRony Swennen: 0000-0002-5258-9043
cg.futureupdate.requiredNo
cg.identifier.issue108041
cg.identifier.volume42


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