Анализ разнокачественности семян лука Кристофа (Allium cristophii Trautv.) с помощью цифровой морфометрии

Relevance. Image analysis is an accessible method that can convert qualitative variables to quantitative variables. Computer imaging has been used in seed biology in a variety of ways, including testing emergence rate and identifying them. The paper examines the development in the field of computer image analysis that contribute to a better understanding of seed morphology in terms of their radial heterogeneity parameters: size, shape and color range. The size and shape of the seeds depends on the location of them in the inflorescence. The aim of the work was measuring geometric indicators and analyzing the color characteristics of Allium cristophii seeds in the RGB system, due to the multi-tiered arrangement in the inflorescence. Methods. TThe heterogeneous seeds A. cristophii Trautv were analyzed. From AllRussian Scientific Research Institute of Vegetable Growing biocollection – branch of Federal Scientific Vegetable Center. The morphometric and optical parameters of the seeds were measured by analyzing their images using the VideoTesT-Morphology software. Results. Analysis of Christoph onion seeds heterogeneity showed that the length and width of the seeds from the lower tier were 3.301 and 2.681 mm, from the average – 3.295 and 2.605 mm and from the upper tier – 3.265 and 2.58 mm respectively. The average seed size from the lower tier was 2.99 mm, the average size was 2.95 mm and the lower tier was 2.92 mm. Statistically significant decrease of indicators over all color channels (according to RGB color model) from the lower tier - to the upper tier was revealed. The tiered arrangement of flowers on the inflorescence is the cause of non-time maturation of Allium seeds. Operational ease, low cost commercial computer technology, and non- destructive seed analysis and sorting highlight the potential of this method for application in a seed laboratory.