CLUSTER ANALYSIS OF VARIETIES AND BREEDING LINES OF SPRING SOFT WHEAT BY INDICATORS OF STRUCTURAL ANALYSIS AND GRAIN QUALITY
2023
N. A. Stepanova E.E. Yandubaykin, V. S. Sidorenko
This article presents experimental data on the study of cluster analysis of the breeding material of spring soft wheat in terms of structural analysis and grain quality. In each cluster, varieties and breeding lines are grouped depending on the quantitative characteristics of the crop structure and their interaction with each other. When using cluster analysis of varieties and breeding lines of soft spring wheat, promising clusters were identified that surpass domestic and foreign varieties in terms of a combination of economically valuable traits. Cluster analysis allowed grouping the most similar and close varieties. Varieties Daria (2021 and 2022), Odeta (2022) and the breeding line L-57 (2021) form separate clusters. There is a convergence between the varieties Granova, Facets, Cornetto. Cluster analysis of soft spring wheat varieties has shown that the directions of breeding for high ear productivity and grain quality are promising. In 2022, the D22 breeding line was identified with a grain weight per ear of 1.86 g, which forms a separate cluster. Breeding clusters No. 7 in 2021 and Nos. 6, 7 in 2022 were formed with a protein content in grain of 15.5 ... 16.7%. With the help of cluster analysis of soft spring wheat varieties, new clusters were identified that surpass domestic and foreign varieties in terms of a set of economically valuable traits, which will allow more targeted selection of breeding material
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