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

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

doi:10.1111/ijfs.14773

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.

Highlights

Breeding programmes need to screen large numbers of genotypes for agronomic, nutritional quality and endproduct quality traits to select the best ones for the breeding and selection cycles
We identified the different highthroughput procedures that have been used in the characterisation of cassava and yam germplasms
The review confirmed that NIRS could rapidly predict moisture, total sugar, starch, polysaccharides, soluble sugar, protein, total nitrogen, dioscin, diosgenin and flavonoids

Summary

Summary Keywords

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. This study provides preliminary evidence of the application of NIRS as an efficient and affordable procedure for HTP. 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. Yam, quality traits, NIRS, high throughput, hyperspectral imaging

Introduction

Conclusions

Findings

Data availability statement