An Evaluation of the Variation in the Morphometric Parameters of Grain of Six Triticum Species with the Use of Digital Image Analysis

• Published in: Agronomy (Basel) 2018-12, Vol.8 (12), p.296
• Main Authors: Goriewa-Duba, Klaudia, Duba, Adrian, Wachowska, Urszula, Wiwart, Marian
• Format: Article
• Language: English
• Subjects: Admixtures; Aspect ratio; Automation; Bread; Cereals; Color; digital image analysis; Digital imaging; Endophytes; Food; Gene pool; Genotypes; Grain; Image analysis; Image processing; Kernels; multivariate analysis; Parameters; Pathogens; Principal components analysis; Roundness; Seeds; Shape; Species; Variation; Wheat
• ISSN: 2073-4395; 2073-4395
• DOI: 10.3390/agronomy8120296

Kernel images of six wheat species were subjected to shape and color analyses to determine variations in the morphometric parameters of grain. The values of kernel shape descriptors (area, perimeter, Feret diameter, minimal Feret diameter, circularity, aspect ratio, roundness, solidity) and color descriptors (H, S, I and L*a*b*) were investigated. The influence of grain colonization by endophytic fungi on the color of the seed coat was also evaluated. Polish wheat grain was characterized by the highest intraspecific variation in shape and color. Bread wheat was most homogeneous in terms of the studied shape and color descriptors. An analysis of variations in wheat lines revealed greater differences in phenotypic traits of relict wheats, which have a larger gene pool. The grain of ancient wheat species was characterized by low roundness values and relatively low solidity. Shape and color descriptors were strongly discriminating components in the studied wheat species. Their discriminatory power was determined mainly by genotype. A method that supports rapid discrimination of cereal species and admixtures of other cereals in grain batches is required to guarantee the quality and safety of grain. The results of this study indicate that digital image analysis can be effectively used for this purpose.