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Near-infrared spectroscopy applications for high-throughput phenotyping for cassava and yam: A review.
Alamu, Emmanuel Oladeji; Nuwamanya, Ephraim; Cornet, Denis; Meghar, Karima; Adesokan, Michael; Tran, Thierry; Belalcazar, John; Desfontaines, Lucienne; Davrieux, Fabrice.
  • Alamu EO; International Institute of Tropical Agriculture (IITA) Southern Africa Hub PO Box 310142 Chelstone, Lusaka Zambia.
  • Nuwamanya E; International Institute of Tropical Agriculture (IITA) PMB 5320, Oyo Road Ibadan Oyo State Nigeria.
  • Cornet D; National Crops Resources Research Institute NaCRRI P.O Box 7084 Kampala Uganda.
  • Meghar K; CIRAD UMR AGAP Montpellier F-34398 France.
  • Adesokan M; Univ. Montpellier CIRAD INRA Montpellier SupAgro France.
  • Tran T; UMR Qualisud University of Montpellier CIRAD Montpellier SupAgro University of Avignon University of La Réunion 73 rue JF Breton Montpellier 34398 France.
  • Belalcazar J; International Institute of Tropical Agriculture (IITA) PMB 5320, Oyo Road Ibadan Oyo State Nigeria.
  • Desfontaines L; UMR Qualisud University of Montpellier CIRAD Montpellier SupAgro University of Avignon University of La Réunion 73 rue JF Breton Montpellier 34398 France.
  • Davrieux F; The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) CGIAR Research Program on Roots Tubers and Bananas (RTB) Apartado Aéreo 6713 Cali Colombia.
Int J Food Sci Technol ; 56(3): 1491-1501, 2021 Mar.
Article en En | MEDLINE | ID: mdl-33776247
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.
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