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Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review

Emmanuel Oladeji Alamu, Ephraim Nuwamanya, Denis Cornet, Karima Meghar, Michael Adesokan, Thierry Tran, John Belalcázar, Lucienne Desfontaines, Fabrice Davrieux

2020International Journal of Food Science & Technology34 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

ThroughputMaterials scienceInfrared spectroscopySpectroscopyNanotechnologyChemistryComputer sciencePhysicsTelecommunicationsOrganic chemistryQuantum mechanicsWirelessCassava research and cyanideSpectroscopy and Chemometric AnalysesMedicinal Plants and Neuroprotection
Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review | Litcius