We carried out the digital grain morphometric evaluation of nine einkorn and regional varieties from the gene bank (Triticum monococcumL. ssp. monococcum) using Fovea Pro 4.0 in order to work out a digital variety identification method and to determine the relationship of varieties. We also performed discriminance and cluster analyses (IBM-SPSS), as well as XY diagram analysis (Microsoft Excel). It was concluded that the pixel-based grain morphometric evaluation can be used to identify even the closest einkorn varieties. This method makes it possible to perform variety classification (DUS).

Keywords: einkorn, digital grain morphometry, sequence analysis