| dc.contributor.author | Ishikawa, H. |
| dc.contributor.author | Boukar, O. |
| dc.contributor.author | Fatokun, C.A. |
| dc.contributor.author | Shono, M. |
| dc.contributor.author | Muranaka, S. |
| dc.date.accessioned | 2019-12-04T11:08:52Z |
| dc.date.available | 2019-12-04T11:08:52Z |
| dc.date.issued | 2017 |
| dc.identifier.citation | 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. |
| dc.identifier.issn | 0967-0335 |
| dc.identifier.uri | https://hdl.handle.net/20.500.12478/1930 |
| dc.description | Published online: 10 July 2017 |
| dc.description.abstract | 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. |
| dc.description.sponsorship | Ministry of Agriculture, Forestry and Fisheries, Japan |
| dc.format.extent | 211-214 |
| dc.language.iso | en |
| dc.subject | Near Infrared Spectroscopy |
| dc.subject | Crude Protein |
| dc.subject | Food Security |
| dc.subject | Cowpeas |
| dc.subject | Optical Phenotyping |
| dc.subject | Quality Analysis |
| dc.subject | Nutritional Analysis |
| dc.subject | Single-Seed Measurement |
| dc.title | Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy |
| dc.type | Journal Article |
| dc.description.version | Peer Review |
| cg.contributor.crp | Grain Legumes |
| cg.contributor.affiliation | International Institute of Tropical Agriculture |
| cg.contributor.affiliation | Japan International Research Center for Agricultural Sciences |
| cg.coverage.region | Africa |
| cg.coverage.region | West Africa |
| cg.coverage.country | Nigeria |
| cg.identifier.url | http://journals.sagepub.com/doi/full/10.1177/0967033517712129 |
| cg.isijournal | ISI Journal |
| cg.authorship.types | CGIAR and advanced research institute |
| cg.iitasubject | Cowpea |
| cg.iitasubject | Food Security |
| cg.journal | Journal of Near Infrared Spectroscopy |
| cg.howpublished | Formally Published |
| cg.accessibilitystatus | Limited Access |
| local.dspaceid | 85139 |
| cg.targetaudience | Scientists |
| cg.identifier.doi | http://dx.doi.org/10.1177/0967033517712129 |
