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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/33953
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Torit Baran Bagchi*, Srigopal Sharma and Krishnendu Chattopadhyay | en_US |
dc.date.accessioned | 2020-03-18T05:38:20Z | - |
dc.date.available | 2020-03-18T05:38:20Z | - |
dc.date.issued | 2016-01-01 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/33953 | - |
dc.description | Not Available | en_US |
dc.description.abstract | With the escalating persuasion of economic and nutritional importance of rice grain protein and nutritional components of rice bran (RB), NIRS can be an effective tool for high throughput screening in rice breeding programme. Optimization of NIRS is prerequisite for accurate prediction of grain quality parameters. In the present study, 173 brown rice (BR) and 86 RB samples with a wide range of values were used to compare the calibration models generated by different chemometrics for grain protein (GPC) and amylose content (AC) of BR and proximate compositions (protein, crude oil, moisture, ash and fiber content) of RB. Various modified partial least square (mPLSs) models corresponding with the best mathematical treatments were identified for all components. Another set of 29 genotypes derived from the breeding programme were employed for the external validation of these calibration models. High accuracy of all these calibration and prediction models was ensured through pair t-test and correlation regression analysis between reference and predicted values. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | NIR spectroscopy Calibration Validation Rice bran Brown rice | en_US |
dc.title | Development of NIRS models to predict protein and amylose content of brown rice and proximate composition of rice bran | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Journal | en_US |
dc.publication.projectcode | 4.1 | en_US |
dc.publication.journalname | Food Chemistry | en_US |
dc.publication.volumeno | 191 | en_US |
dc.publication.pagenumber | 21-27 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | http://dx.doi.org/10.1016/j.foodchem.2015.05.038 | en_US |
dc.publication.authorAffiliation | ICAR-NRRI, Cuttack, Odisha | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 12.31 | en_US |
Appears in Collections: | CS-NRRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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NIR Food chemistry final.pdf | 853.18 kB | Adobe PDF | View/Open |
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