2020
DOI: 10.1111/ijfs.14773
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Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review

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 res… Show more

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Cited by 20 publications
(9 citation statements)
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References 56 publications
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“…CIAT and partners have contributed proactively to developing reliable and affordable phenotyping protocols to overcome bottlenecks in the breeding process. The use of near-infrared spectroscopy (NIRs) on fresh root samples greatly facilitated quantification of carotenoids contents (Sánchez et al 2014 ; Belalcazar et al 2016 ; Alamu et al 2021 ). It is now widely used in different biofortification projects.…”
Section: O Ptimizing Breeding Strategies Methods and Toolsmentioning
confidence: 99%
See 1 more Smart Citation
“…CIAT and partners have contributed proactively to developing reliable and affordable phenotyping protocols to overcome bottlenecks in the breeding process. The use of near-infrared spectroscopy (NIRs) on fresh root samples greatly facilitated quantification of carotenoids contents (Sánchez et al 2014 ; Belalcazar et al 2016 ; Alamu et al 2021 ). It is now widely used in different biofortification projects.…”
Section: O Ptimizing Breeding Strategies Methods and Toolsmentioning
confidence: 99%
“…The project RTBfoods: Breeding Roots, Tubers and Banana products for end-user preferences ( https://rtbfoods.cirad.fr ) is an ambitious initiative to elucidate basic information regarding root quality traits. Several research articles regarding root quality traits and post-harvest processing have recently been published (Alamu et al 2021 ; Bechoff et al 2018 ; Dufour et al 2021 ; Escobar et al 2021 ; Goddard et al 2015 ; Iragaba et al 2021 ; Luna et al 2021 ; Ndjouenkeu et al 2021 ; Teeken et al 2018 , 2021 ; Thiele et al 2021 ; Tran et al 2021 ). The availability of this critical knowledge and reliable high-throughput phenotyping protocols will improve the efficiency of breeding for root quality traits.…”
Section: Breeding Objectivesmentioning
confidence: 99%
“…Near Infrared Spectroscopy (NIRS) offers possibilities to link root and food characteristics (Alamu et al, 2021). This requires following rigorous SOPs for NIRS scans on fresh roots from breeding trials, on the intermediate food products (if applicable) as well as on the final food products as prepared in food science labs following processing and preparation steps that have been externally validated by participatory processing of contrasting clones (new clones and processor preferred clones) in the working environment of the users (village cottage processing, or larger scale using mechanized processing depending on the product profile).…”
Section: Integrating Feedback From Social Data For Enhancing Decision...mentioning
confidence: 99%
“…Papers address key problems in the breeding of RTB crops in SSA: inadequate understanding of requirements for different end uses, missing information on the physicochemical factors determining these requirements and absence of high‐throughput screening protocols. The review papers provide a broad overview of RTB production and use trends (Scott, 2021), describe case studies of varietal change (replacing old varieties with new ones) (Thiele et al ., 2021), summarise analytical methods for rapid quality assessment of yam and cassava using near‐infrared spectroscopy (Alamu et al ., 2021), describe gari end‐user preferences (Awoyale et al ., 2021) and review the literature to develop a product profile for fried sweet potato in West Africa (Carey et al ., 2021).…”
Section: Figurementioning
confidence: 99%