Determination of Quality Parameters in Maize Grain by NIR Reflectance Spectroscopy

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dc.authoridKahrıman, Fatih/0000-0001-6944-0512
dc.contributor.authorEgesel, Cem Omer
dc.contributor.authorKahrıman, Fatih
dc.date.accessioned2025-01-27T20:46:17Z
dc.date.available2025-01-27T20:46:17Z
dc.date.issued2012
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThe objective of this study is to compare different calibration models that could be used in the analysis of protein, oil, carbohydrate and ash contents in maize flour by NIRS. A total of 138 samples were used from 115 hybrids and 23 inbreds in the study as material. Based on reference analysis results, different estimation models were developed using Partial Least Squares Regression (PLSR) and Multiple Linear Regression (MLR) methods. Validation procedure of these models (n=110) were accomplished using samples from different genotypes (n=28). In both of the developed models, the highest accuracy was attained for protein content (r=0.990 for MLR and r=0.987 for PLSR). For the other traits analyzed, although MLR model yielded better results based on mathematical evaluations (r(MLR)=0.801, r(PLSR)=0.755 for carbohydrate, r(MLR)=0.823, r(PLSR)=0.723 for oil, r(MLR)=0.926 and r(PLSR)=0.810 for ash), external validation suggested PLSR model provide a lower error rate than MLR. Results suggested that protein content could be successfully estimated, whereas, for some other traits, such as carbohydrate and oil ratios, it seems that there is still need for more studies before getting accurate measurements using NIR methods. Profile analysis regarding the wavelengths potent in the models showed that the estimation power declined when the regression coefficients of the wavelengths included in the model were low. Among the analyzed traits, ash and oil contents seemed to be related with more spectral regions within the scanned spectra than protein and carbohydrate.
dc.description.sponsorshipScientific Research Commission of Canakkale Onsekiz Mart University [BAP 2009/28]
dc.description.sponsorshipThe authors thank Scientific Research Commission of Canakkale Onsekiz Mart University for the financial support through the project no. BAP 2009/28.
dc.identifier.doi10.1501/Tarimbil_0000001190
dc.identifier.endpage42
dc.identifier.issn2148-9297
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84865639357
dc.identifier.scopusqualityQ3
dc.identifier.startpage31
dc.identifier.trdizinid142796
dc.identifier.urihttps://doi.org/10.1501/Tarimbil_0000001190
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/142796
dc.identifier.urihttps://hdl.handle.net/20.500.12428/24855
dc.identifier.volume18
dc.identifier.wosWOS:000308219100004
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherAnkara Univ, Fac Agr
dc.relation.ispartofJournal of Agricultural Sciences-Tarim Bilimleri Dergisi
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectProtein
dc.subjectOil
dc.subjectZea mays
dc.subjectCarbohydrate
dc.subjectRegression
dc.titleDetermination of Quality Parameters in Maize Grain by NIR Reflectance Spectroscopy
dc.title.alternativeMısır danesinde kalite özelliklerinin NIR yansıma Spektroskopisi ile belirlenmesi
dc.typeArticle

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