Development of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopy

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cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.affiliationJapan International Research Center for Agricultural Sciencesen
cg.contributor.crpGrain Legumes
cg.contributor.donorMinistry of Agriculture, Forestry and Fisheries, Japanen
cg.coverage.countryNigeria
cg.coverage.iso3166-alpha2NG
cg.coverage.regionAfrica
cg.coverage.regionWestern Africa
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1177/0967033517712129en
cg.isijournalISI Journalen
cg.issn0967-0335en
cg.issue3en
cg.journalJournal of Near Infrared Spectroscopyen
cg.reviewStatusPeer Reviewen
cg.subject.iitaCOWPEAen
cg.subject.iitaFOOD SECURITYen
cg.volume25en
dc.contributor.authorIshikawa, H.en
dc.contributor.authorBoukar, O.en
dc.contributor.authorFatokun, C.A.en
dc.contributor.authorShono, M.en
dc.contributor.authorMuranaka, S.en
dc.date.accessioned2017-07-12T12:50:16Zen
dc.date.available2017-07-12T12:50:16Zen
dc.identifier.urihttps://hdl.handle.net/10568/82742
dc.titleDevelopment of calibration model to predict nitrogen content in single seeds of cowpea (Vigna unguiculata) using near infrared spectroscopyen
dcterms.abstractCowpea 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.en
dcterms.accessRightsLimited Access
dcterms.audienceScientistsen
dcterms.available2017-07-10
dcterms.bibliographicCitationIshikawa, 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.en
dcterms.extent211-214en
dcterms.issued2017-06
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherSAGE Publicationsen
dcterms.subjectnear infrared spectroscopyen
dcterms.subjectcrude proteinen
dcterms.subjectfood securityen
dcterms.subjectcowpeasen
dcterms.subjectoptical phenotypingen
dcterms.subjectquality analysisen
dcterms.subjectnutritional analysisen
dcterms.subjectsingle-seed measurementen
dcterms.typeJournal Article

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