Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava
Over 800 million people across the tropics rely on cassava (Manihot esculenta Crantz) as a major source of calories. While the root dry matter content (RDMC) of this starchy root crop is important for both producers and consumers, characterization of RDMC by traditional methods is time-consuming and...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2022
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/125377 |
| _version_ | 1855537378089762816 |
|---|---|
| author | Hershberger, J.M. Mbanjo, E. Peteti, P. Ikpan, A. Ogunpaimo, K. Nafiu, K. Rabbi, I.Y. Gore, M.A. |
| author_browse | Gore, M.A. Hershberger, J.M. Ikpan, A. Mbanjo, E. Nafiu, K. Ogunpaimo, K. Peteti, P. Rabbi, I.Y. |
| author_facet | Hershberger, J.M. Mbanjo, E. Peteti, P. Ikpan, A. Ogunpaimo, K. Nafiu, K. Rabbi, I.Y. Gore, M.A. |
| author_sort | Hershberger, J.M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Over 800 million people across the tropics rely on cassava (Manihot esculenta Crantz) as a major source of calories. While the root dry matter content (RDMC) of this starchy root crop is important for both producers and consumers, characterization of RDMC by traditional methods is time-consuming and laborious for breeding programs. Alternate phenotyping methods have been proposed but lack the accuracy, cost, or speed ultimately needed for cassava breeding programs. For this reason, we investigated the use of a low-cost, handheld near-infrared spectrometer (740–1070 nm) for field-based RDMC prediction in cassava. Oven-dried measurements of RDMC were paired with 21,044 scans of roots of 376 diverse genotypes from 10 field trials in Nigeria and grouped into training and test sets based on cross-validation schemes relevant to plant breeding programs. Mean partial least squares regression model performance ranged from R2P = 0.62–0.89 for within-trial predictions, which is within the range achieved with laboratory-grade spectrometers in previous studies. Relative to other factors, model performance was highly affected by the inclusion of samples from the same environment in both the training and test sets. With appropriate model calibration, the tested spectrometer will allow for field-based collection of spectral data with a smartphone for accurate RDMC prediction and potentially other quality traits, a step that could be easily integrated into existing harvesting workflows of cassava breeding programs. |
| format | Journal Article |
| id | CGSpace125377 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1253772025-11-11T10:44:05Z Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava Hershberger, J.M. Mbanjo, E. Peteti, P. Ikpan, A. Ogunpaimo, K. Nafiu, K. Rabbi, I.Y. Gore, M.A. cassava manihot esculenta near infrared dry matter content varieties genotypes nigeria Over 800 million people across the tropics rely on cassava (Manihot esculenta Crantz) as a major source of calories. While the root dry matter content (RDMC) of this starchy root crop is important for both producers and consumers, characterization of RDMC by traditional methods is time-consuming and laborious for breeding programs. Alternate phenotyping methods have been proposed but lack the accuracy, cost, or speed ultimately needed for cassava breeding programs. For this reason, we investigated the use of a low-cost, handheld near-infrared spectrometer (740–1070 nm) for field-based RDMC prediction in cassava. Oven-dried measurements of RDMC were paired with 21,044 scans of roots of 376 diverse genotypes from 10 field trials in Nigeria and grouped into training and test sets based on cross-validation schemes relevant to plant breeding programs. Mean partial least squares regression model performance ranged from R2P = 0.62–0.89 for within-trial predictions, which is within the range achieved with laboratory-grade spectrometers in previous studies. Relative to other factors, model performance was highly affected by the inclusion of samples from the same environment in both the training and test sets. With appropriate model calibration, the tested spectrometer will allow for field-based collection of spectral data with a smartphone for accurate RDMC prediction and potentially other quality traits, a step that could be easily integrated into existing harvesting workflows of cassava breeding programs. 2022-01 2022-11-09T08:32:45Z 2022-11-09T08:32:45Z Journal Article https://hdl.handle.net/10568/125377 en Open Access application/pdf Wiley Hershberger, J.M., Mbanjo, E., Peteti, P., Ikpan, A., Ogunpaimo, K., Nafiu, K., ... & Gore, M.A. (2022). Low‐cost, handheld near‐infrared spectroscopy for root dry matter content prediction in cassava. The Plant Phenome Journal, 5(1), 1-14. |
| spellingShingle | cassava manihot esculenta near infrared dry matter content varieties genotypes nigeria Hershberger, J.M. Mbanjo, E. Peteti, P. Ikpan, A. Ogunpaimo, K. Nafiu, K. Rabbi, I.Y. Gore, M.A. Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava |
| title | Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava |
| title_full | Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava |
| title_fullStr | Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava |
| title_full_unstemmed | Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava |
| title_short | Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava |
| title_sort | low cost handheld near infrared spectroscopy for root dry matter content prediction in cassava |
| topic | cassava manihot esculenta near infrared dry matter content varieties genotypes nigeria |
| url | https://hdl.handle.net/10568/125377 |
| work_keys_str_mv | AT hershbergerjm lowcosthandheldnearinfraredspectroscopyforrootdrymattercontentpredictionincassava AT mbanjoe lowcosthandheldnearinfraredspectroscopyforrootdrymattercontentpredictionincassava AT petetip lowcosthandheldnearinfraredspectroscopyforrootdrymattercontentpredictionincassava AT ikpana lowcosthandheldnearinfraredspectroscopyforrootdrymattercontentpredictionincassava AT ogunpaimok lowcosthandheldnearinfraredspectroscopyforrootdrymattercontentpredictionincassava AT nafiuk lowcosthandheldnearinfraredspectroscopyforrootdrymattercontentpredictionincassava AT rabbiiy lowcosthandheldnearinfraredspectroscopyforrootdrymattercontentpredictionincassava AT gorema lowcosthandheldnearinfraredspectroscopyforrootdrymattercontentpredictionincassava |