Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy
Cowpea is an important crop for food security, as it is a primary source of protein and cash income for farmers in the dry savanna areas of Sub-Saharan Africa. Improved varieties should contain reasonable amounts of protein in the grains, and to ensure this, timely and cost-effective analytical meth...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
SAGE Publications
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/82742 |
| _version_ | 1855539650435743744 |
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| author | Ishikawa, H. Boukar, O. Fatokun, C.A. Shono, M. Muranaka, S. |
| author_browse | Boukar, O. Fatokun, C.A. Ishikawa, H. Muranaka, S. Shono, M. |
| author_facet | Ishikawa, H. Boukar, O. Fatokun, C.A. Shono, M. Muranaka, S. |
| author_sort | Ishikawa, H. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Cowpea is an important crop for food security, as it is a primary source of protein and cash income for farmers in the dry
savanna areas of Sub-Saharan Africa. Improved varieties should contain reasonable amounts of protein in the grains, and to
ensure this, timely and cost-effective analytical methods need to be developed. In this study, a procedure for estimating the
grain nitrogen (protein) content in single seeds using near infrared spectroscopy was developed. Near infrared spectroscopic
analysis of single seeds is a useful tool for breeders and food companies. A total of 200 cowpea germplasm accessions with
wide variation in grain nitrogen content (2.44 – 5.12%N) were used for calibration. Two kinds of sample processing were
performed for seed preparation (intact seed and husked seed). The models developed were validated using data from 88
and 89 genotypes. The calibration models based on both intact and husked seeds showed a high level of consistency
(R2¼0.88 and 0.88) in cross-validation. The calibration models predicted samples in validation sets with an accuracy of
r2¼0.85, RMSEP¼0.17%N, RPD¼2.55 and r2¼0.88, RMSEP¼0.15%N, RPD¼2.90, for intact and husked seeds, respectively.
With these levels of accuracy, the developed predictive models showed that NIR measurements for single seeds could
be useful to determine the uniformity of grain quality, or for rapid screening of the nitrogen content in the seeds of cowpea
genotypes. |
| format | Journal Article |
| id | CGSpace82742 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | SAGE Publications |
| publisherStr | SAGE Publications |
| record_format | dspace |
| spelling | CGSpace827422024-02-29T09:08:42Z Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy Ishikawa, H. Boukar, O. Fatokun, C.A. Shono, M. Muranaka, S. near infrared spectroscopy crude protein food security cowpeas optical phenotyping quality analysis nutritional analysis single-seed measurement Cowpea is an important crop for food security, as it is a primary source of protein and cash income for farmers in the dry savanna areas of Sub-Saharan Africa. Improved varieties should contain reasonable amounts of protein in the grains, and to ensure this, timely and cost-effective analytical methods need to be developed. In this study, a procedure for estimating the grain nitrogen (protein) content in single seeds using near infrared spectroscopy was developed. Near infrared spectroscopic analysis of single seeds is a useful tool for breeders and food companies. A total of 200 cowpea germplasm accessions with wide variation in grain nitrogen content (2.44 – 5.12%N) were used for calibration. Two kinds of sample processing were performed for seed preparation (intact seed and husked seed). The models developed were validated using data from 88 and 89 genotypes. The calibration models based on both intact and husked seeds showed a high level of consistency (R2¼0.88 and 0.88) in cross-validation. The calibration models predicted samples in validation sets with an accuracy of r2¼0.85, RMSEP¼0.17%N, RPD¼2.55 and r2¼0.88, RMSEP¼0.15%N, RPD¼2.90, for intact and husked seeds, respectively. With these levels of accuracy, the developed predictive models showed that NIR measurements for single seeds could be useful to determine the uniformity of grain quality, or for rapid screening of the nitrogen content in the seeds of cowpea genotypes. 2017-06 2017-07-12T12:50:16Z 2017-07-12T12:50:16Z Journal Article https://hdl.handle.net/10568/82742 en Limited Access SAGE Publications Ishikawa, H., Boukar, O., Fatokun, C., Shono, M. & Muranaka, S. (2017). Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy. Journal of Near Infrared Spectroscopy 25(3): 211-214. |
| spellingShingle | near infrared spectroscopy crude protein food security cowpeas optical phenotyping quality analysis nutritional analysis single-seed measurement Ishikawa, H. Boukar, O. Fatokun, C.A. Shono, M. Muranaka, S. Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy |
| title | Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy |
| title_full | Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy |
| title_fullStr | Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy |
| title_full_unstemmed | Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy |
| title_short | Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy |
| title_sort | development of calibration model to predict nitrogen content in single seeds of cowpea vigna unguiculata using near infrared spectroscopy |
| topic | near infrared spectroscopy crude protein food security cowpeas optical phenotyping quality analysis nutritional analysis single-seed measurement |
| url | https://hdl.handle.net/10568/82742 |
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