Standard Operating Procedure for high throughput phenotyping using NIRS
The near-infrared spectroscopy is a non-destructive and rapid method for predicting the qualitative and quantitative properties of samples. The NIRS spectral regions, which are located between the visible and infrared ranges (800-2500 nm; 12500-4000 cm-1) contain a wealth of useful information. The...
| Autores principales: | , , , , |
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| Formato: | Training Material |
| Lenguaje: | Inglés |
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International Institute of Tropical Agriculture
2024
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| Acceso en línea: | https://hdl.handle.net/10568/174120 |
| _version_ | 1855531884588564480 |
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| author | Mbanjo-Edwige, G. Peteti, P. Toyinbo, S. Ogunpaimo, K. Nafiu, K. |
| author_browse | Mbanjo-Edwige, G. Nafiu, K. Ogunpaimo, K. Peteti, P. Toyinbo, S. |
| author_facet | Mbanjo-Edwige, G. Peteti, P. Toyinbo, S. Ogunpaimo, K. Nafiu, K. |
| author_sort | Mbanjo-Edwige, G. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The near-infrared spectroscopy is a non-destructive and rapid method for predicting the qualitative and quantitative properties of samples. The NIRS spectral regions, which are located between the visible and infrared ranges (800-2500 nm; 12500-4000 cm-1) contain a wealth of useful information. The development and optimization of NIRS prediction models could enable reliable, high-throughput, and low-cost analyses of high-value traits. Hundreds of samples could be quickly screened, and multiple parameters could be evaluated in a single test. |
| format | Training Material |
| id | CGSpace174120 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Institute of Tropical Agriculture |
| publisherStr | International Institute of Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace1741202025-04-10T10:21:46Z Standard Operating Procedure for high throughput phenotyping using NIRS Mbanjo-Edwige, G. Peteti, P. Toyinbo, S. Ogunpaimo, K. Nafiu, K. infrared spectrophotometry cassava phenotypes The near-infrared spectroscopy is a non-destructive and rapid method for predicting the qualitative and quantitative properties of samples. The NIRS spectral regions, which are located between the visible and infrared ranges (800-2500 nm; 12500-4000 cm-1) contain a wealth of useful information. The development and optimization of NIRS prediction models could enable reliable, high-throughput, and low-cost analyses of high-value traits. Hundreds of samples could be quickly screened, and multiple parameters could be evaluated in a single test. 2024-06-10 2025-04-10T08:55:26Z 2025-04-10T08:55:26Z Training Material https://hdl.handle.net/10568/174120 en Open Access International Institute of Tropical Agriculture Mbanjo-Edwige, G., Peteti, P., Toyinbo, S., Ogunpaimo, K. & Nafiu, K. (2024). Standard Operating Procedure for high throughput phenotyping using NIRS. Ibadan, Nigeria: IITA, (10 p.). |
| spellingShingle | infrared spectrophotometry cassava phenotypes Mbanjo-Edwige, G. Peteti, P. Toyinbo, S. Ogunpaimo, K. Nafiu, K. Standard Operating Procedure for high throughput phenotyping using NIRS |
| title | Standard Operating Procedure for high throughput phenotyping using NIRS |
| title_full | Standard Operating Procedure for high throughput phenotyping using NIRS |
| title_fullStr | Standard Operating Procedure for high throughput phenotyping using NIRS |
| title_full_unstemmed | Standard Operating Procedure for high throughput phenotyping using NIRS |
| title_short | Standard Operating Procedure for high throughput phenotyping using NIRS |
| title_sort | standard operating procedure for high throughput phenotyping using nirs |
| topic | infrared spectrophotometry cassava phenotypes |
| url | https://hdl.handle.net/10568/174120 |
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