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

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    Journal Article (216.6Kb)
    Date
    2020
    Author
    Alamu, E.O.
    Nuwamanya, E.
    Cornet, D.
    Meghar, K.
    Adesokan, M.
    Tran, T.
    Belalcazar, J.
    Desfontaines, L.
    Davrieux, F.
    Type
    Journal Article
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    The 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.
    https://dx.doi.org/10.1111/ijfs.14773
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/6994
    IITA Authors ORCID
    Alamu Emmanuel Oladejihttps://orcid.org/0000-0001-6263-1359
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1111/ijfs.14773
    Research Themes
    Nutrition and Human Health
    IITA Subjects
    Agronomy; Cassava; Food Security; Nutrition; Plant Breeding; Plant Production; Yam
    Agrovoc Terms
    Cassava; Yams; Quality; Yields; Phenotypes; Infrared Spectrophotometry; Breeding; Quantitative Trait Loci
    Hubs
    Southern Africa Hub
    Journals
    International Journal of Food Science and Technology
    Collections
    • Journal and Journal Articles4835
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