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Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review
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 revie...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984172/ https://www.ncbi.nlm.nih.gov/pubmed/33776247 http://dx.doi.org/10.1111/ijfs.14773 |
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author | Alamu, Emmanuel Oladeji Nuwamanya, Ephraim Cornet, Denis Meghar, Karima Adesokan, Michael Tran, Thierry Belalcazar, John Desfontaines, Lucienne Davrieux, Fabrice |
author_facet | Alamu, Emmanuel Oladeji Nuwamanya, Ephraim Cornet, Denis Meghar, Karima Adesokan, Michael Tran, Thierry Belalcazar, John Desfontaines, Lucienne Davrieux, Fabrice |
author_sort | Alamu, Emmanuel Oladeji |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7984172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79841722021-03-24 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 Int J Food Sci Technol Yam 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. John Wiley and Sons Inc. 2020-09-05 2021-03 /pmc/articles/PMC7984172/ /pubmed/33776247 http://dx.doi.org/10.1111/ijfs.14773 Text en © 2020 The Authors. International Journal of Food Science & Technology published by John Wiley & Sons Ltd on behalf of Institute of Food, Science and Technology (IFSTTF) This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Yam Alamu, Emmanuel Oladeji Nuwamanya, Ephraim Cornet, Denis Meghar, Karima Adesokan, Michael Tran, Thierry Belalcazar, John Desfontaines, Lucienne Davrieux, Fabrice Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review |
title | Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review |
title_full | Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review |
title_fullStr | Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review |
title_full_unstemmed | Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review |
title_short | Near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: A review |
title_sort | near‐infrared spectroscopy applications for high‐throughput phenotyping for cassava and yam: a review |
topic | Yam |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984172/ https://www.ncbi.nlm.nih.gov/pubmed/33776247 http://dx.doi.org/10.1111/ijfs.14773 |
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