dc.contributor.author | Alamu, E.O. |
dc.contributor.author | Maziya-Dixon, B. |
dc.contributor.author | Felde, T. zum |
dc.contributor.author | Kulakow, P. |
dc.contributor.author | Parkes, E. |
dc.date.accessioned | 2019-12-04T11:30:17Z |
dc.date.available | 2019-12-04T11:30:17Z |
dc.date.issued | 2019 |
dc.identifier.citation | Alamu, E.O., Maziya-Dixon, B., Zum Felde, T., Kulakow, P. & Parkes, E. (2019). Application of near infra-red reflectance spectroscopy (NIRS) in screening of fresh cassava (Manihot esculenta) storage roots for provitamin A carotenoids. In S.B. Engelsen, K.M. Sørensen and F. van den Berg, Proceedings of the 18th International Conference on Near Infrared Spectroscopy. Chichester, UK: IM Publications, (p. 91-97). |
dc.identifier.isbn | 978-1-906715-27-4 |
dc.identifier.uri | https://hdl.handle.net/20.500.12478/5245 |
dc.description.abstract | A developed Near Infrared Reflectance Spectroscopy (NIRS) calibration equation was used for determining provitamin A carotenoids contents of different trials of fresh yellow root cassava genotypes using a total of 50 cassava genotypes scanned twice by NIRS from 400 nm to 2498 nm. The NIRS calibration equations were used to predict the β-cryptoxanthin, 13-cis β-carotene, trans β-carotene, 9-cis β -carotene, total β-carotene and total carotenoid concentrations of the samples. The predicted values for total carotenoids (TC-pred) ranged from 3.93 μg g–1 to 10.51 μg g–1 with mean of 7.07 ± 2.55 μg g–1 for International Collaborative Trials (ICT), 7.97–11.03 μg g–1 fresh weight with mean of 9.40 ± 0.76 μg g–1 for yellow root trial 8 (Multi-location Uniform Yield Trial) and 6.38–10.44 μg g–1 with mean of 8.74 ± 1.07 μg g–1 for yellow root trial 9 (Multilocation Advanced Yield Trial). Total carotenoids results using reference spectrophotometric method (TC-spec) ranged from 2.57 μg g–1 to 9.97 μg g–1 with mean of 5.66 ± 2.99 μg g–1 for ICT, 6.55–8.74 μg g–1 with mean of 7.74 ± 0.64 μg g–1 for yellow root trial 8 and 4.22–11.00 μg g–1 with mean of 7.57 ± 1.54 μg g–1 for yellow root trail 9. There is significant (P ≤ 0.001) positive correlation (r = 0.55) between TC-pred by NIRS and TC-spec. Also, significant (P ≤ 0.001) positive correlation (r = 0.52) exist between trans β-carotene predicted by NIRS and high-performance liquid chromatography reference. The developed NIRS calibration equations could be used to predict total carotenoids and trans β-carotene content of yellow root cassava and serve as rapid and cost-effective screening method for large cassava sample sets. |
dc.format.extent | 91-97 |
dc.language.iso | en |
dc.publisher | IM Publications |
dc.rights | CC-BY-NC-ND-4.0 |
dc.subject | Cassava |
dc.subject | Carotenoids |
dc.subject | Carotenes |
dc.subject | Provitamins |
dc.subject | Genotypes |
dc.subject | Near Infrared Spectroscopy |
dc.title | Application of near infrared reflectance spectroscopy in screening of fresh cassava (Manihot esculenta crantz) storage roots for provitamin A carotenoids |
dc.type | Book Chapter |
dc.description.version | Peer Review |
cg.contributor.crp | Agriculture for Nutrition and Health |
cg.contributor.crp | Maize |
cg.contributor.crp | Roots, Tubers and Bananas |
cg.contributor.affiliation | International Institute of Tropical Agriculture |
cg.contributor.affiliation | International Potato Centre |
cg.coverage.region | Africa |
cg.coverage.region | West Africa |
cg.coverage.country | Nigeria |
cg.creator.identifier | Alamu Emmanuel Oladeji: 0000-0001-6263-1359 |
cg.creator.identifier | Peter Kulakow: 0000-0002-7574-2645 |
cg.creator.identifier | E J Parkes: 0000-0003-4063-1483 |
cg.researchtheme | BIOTECH & PLANT BREEDING |
cg.researchtheme | NUTRITION & HUMAN HEALTH |
cg.authorship.types | CGIAR multi-centre |
cg.iitasubject | Cassava |
cg.iitasubject | Genetic Improvement |
cg.iitasubject | Maize |
cg.iitasubject | Nutrition |
cg.iitasubject | Plant Breeding |
cg.iitasubject | Plant Genetic Resources |
cg.howpublished | Formally Published |
cg.publicationplace | Chichester, United Kingdom |
cg.accessibilitystatus | Open Access |
local.dspaceid | 103282 |
cg.targetaudience | Scientists |
cg.identifier.doi | https://dx.doi.org/10.1255/nir2017.091 |