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Near-infrared spectroscopy applications for high-throughput phenotyping for cassava and yam: a review

dc.contributor.authorAlamu, E.O.
dc.contributor.authorNuwamanya, E.
dc.contributor.authorCornet, D.
dc.contributor.authorMeghar, K.
dc.contributor.authorAdesokan, M.
dc.contributor.authorTran, T.
dc.contributor.authorBelalcazar, J.
dc.contributor.authorDesfontaines, L.
dc.contributor.authorDavrieux, F.
dc.date.accessioned2020-11-18T08:48:56Z
dc.date.available2020-11-18T08:48:56Z
dc.date.issued2020
dc.identifier.citationAlamu, E.O., Nuwamanya, E., Cornet, D., Meghar, K., Adesokan, M., Tran, T., ... & Davrieux, F. (2020). Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: a review. International Journal of Food Science and Technology, 1-11.
dc.identifier.issn0950-5423
dc.identifier.urihttps://hdl.handle.net/20.500.12478/6994
dc.description.abstractThe review aimed to identify the different high‐throughput phenotyping (HTP) techniques that used for quality evaluation in cassava and yam breeding programmes, and this has provided insights towards the development of metrics and their application in cassava and yam improvements. A systematic review of the published research articles involved the use of NIRS in analysing the quality traits of cassava and yam was carried out, and Scopus, Science Direct, Web of Sciences and Google Scholar were searched. The results of the review established that NIRS could be used in understanding the chemical constituents (carbohydrate, protein, vitamins, minerals, carotenoids, moisture, starch, etc.) for high‐throughput phenotyping. This study provides preliminary evidence of the application of NIRS as an efficient and affordable procedure for HTP. However, the feasibility of using mid‐infrared spectroscopy (MIRS) and hyperspectral imaging (HSI) in combination with the NIRS could be further studied for quality traits phenotyping.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-11
dc.language.isoen
dc.subjectCassava
dc.subjectYams
dc.subjectQuality
dc.subjectYields
dc.subjectPhenotypes
dc.subjectInfrared Spectrophotometry
dc.subjectBreeding
dc.subjectQuantitative Trait Loci
dc.titleNear-infrared spectroscopy applications for high-throughput phenotyping for cassava and yam: a review
dc.typeJournal Article
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationNational Crops Resources Research Institute, Uganda
cg.contributor.affiliationUniversité de Montpellier
cg.contributor.affiliationThe Alliance of Bioversity International and the International Center for Tropical Agriculture
cg.contributor.affiliationCentre de Recherche Antilles-Guyane, France
cg.coverage.hubSouthern Africa Hub
cg.researchthemeNutrition and Human Health
cg.identifier.bibtexciteidALAMU:2020e
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectFood Security
cg.iitasubjectNutrition
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectYam
cg.journalInternational Journal of Food Science and Technology
cg.notesPublished online: 12 Aug 2020
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1111/ijfs.14773
cg.iitaauthor.identifierAlamu Emmanuel Oladeji: 0000-0001-6263-1359
cg.futureupdate.requiredNo


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