Abstract
The article presents an approach to data processing that extends critical indices of plant structural analysis by new characteristics of vegetation indices. The ability to detect differences in plant genotype usingvegetation indices was confirmed using common millet (Panicum miliaceum) as an example. The use of cluster analysis to group the tested breeding lines into clusters with optimal variety characteristics for further breeding work was demonstrated. In 2021…2023, practical results were obtained in the form of transferred new varieties of winter soft wheat (Triticum aestivum L.), standing out or having greater productivity in clusters with optimal parameters: Aist Orlovskiy, Zusha, Pamyati Katkova and Akvamarin. The conclusion is drawn on the promising use in the breeding process of groups with reduced tillering based on the variety sample Timiryazevskaya Odnostebel’naya. Promising breeding lines with highly productive ear based on the variety Ferruginum and new forms of Ferruginum and Milturum with high values of vegetative indices in combination with a complex of indicators characterizing yield and grain quality were revealed.
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