Evaluation of the opacity and protein quality of maize kernels by image analysis

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dc.contributor.authorUckan, Kerem
dc.contributor.authorSentruk, Nilay
dc.contributor.authorUydas, Melike
dc.contributor.authorKahr, Fatih
dc.date.accessioned2025-05-29T02:58:17Z
dc.date.available2025-05-29T02:58:17Z
dc.date.issued2025
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThe protein content and quality in maize significantly influence grain quality, driving global efforts to develop high-protein-quality genotypes. Opacity serves as a key phenotypic selection criterion in these efforts due to its relationship with essential amino acid content. This study investigates the differentiation of opaque maize kernels using computer-aided software and explores the relationship between opacity levels and color spaces (RGB, HSV, Lab). Seed samples from 10 maize genotypes (1000 seeds) with varying opacity levels were imaged on a light table in embryo-up and embryo-down orientations. Particle analysis and thresholding performed in R determined opacity levels and provided numerical data for RGB, HSV, and Lab color spaces. Protein, lysine, and tryptophan contents were analyzed through reference methods. Correlation and regression analyses assessed relationships between opacity levels (visual and image-processed) and biochemical components, and color space channels. Protein content ranged from 6.66% to 11.62%, lysine from 0.266% to 0.450%, and tryptophan from 0.034% to 0.092% among opacity groups. Relationships between visual and image-processed opacity levels showed R2 = 0.57 (embryo-up) and R2 = 0.65 (embryo-down). Notably, channels of the HSV color space correlated with lysine and tryptophan contents. This study demonstrates that image processing effectively evaluates opacity levels and protein quality in maize using color space data, offering a promising tool for phenotypic selection.
dc.description.sponsorshipTUBITAK [1919B012107766]
dc.description.sponsorshipAcknowledgments The authors express gratitude to TUB & Idot;TAK for sup-porting this study under the TUB & Idot;TAK B & Idot;DEB 2209-A program with project number 1919B012107766. We extend our thanks to TUB & Idot;TAK for their support
dc.identifier.issn0025-6153
dc.identifier.issn2279-8013
dc.identifier.issue3
dc.identifier.scopus2-s2.0-105000906837
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://hdl.handle.net/20.500.12428/30320
dc.identifier.volume67
dc.identifier.wosWOS:001437233500001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMaydica-Ist Sper Cerealicoltur
dc.relation.ispartofMaydica
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250529
dc.subjectAmino acids
dc.subjectQuality Protein Maize
dc.subjectZea mays
dc.titleEvaluation of the opacity and protein quality of maize kernels by image analysis
dc.typeArticle

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