Near-infrared spectroscopy (NIRS) applications for high throughput phenotyping (HTP) 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. 2021. Near-infrared spectroscopy (NIRS) applications for high throughput phenotyping (HTP) for cassava and yam: A review. International Journal of Food Science and Technology, 56 (3), n.spéc. Consumers have their say: Assessing preferred quality traits of roots, tubers and cooking bananas, and implications for breeding : 1491-1501.

https://doi.org/10.1111/ijfs.14773

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Url - autre : https://rtbfoods.cirad.fr/news/nirs-application-for-htp-publi-ijfst

Quartile : Q2, Sujet : FOOD SCIENCE & TECHNOLOGY

Résumé : The review aimed to identify the different High Throughput phenotyping (HTP) techniques that used for quality evaluation in cassava and yam breeding programs, 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 analyzing 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.

Mots-clés Agrovoc : Manihot esculenta, Dioscorea, critère de sélection, caractère agronomique, phénotype, spectroscopie infrarouge, technique analytique

Mots-clés libres : Cassava, Yam, Quality traits, NIRS, High Throughput. Hyperspectral imaging

Classification Agris : F30 - Génétique et amélioration des plantes

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

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