AGRONOMY
Cotoneaster is an ornamental shrub that has been used in Khakassia since the end of the 20th century not only for the improvement of populated areas but also for the forestation. In the Ключевые слова: кизильник, интродукция, ритм роста и развития, озеленение, засушливые условия, Хакасия arboretum of the Institute, more than 40 varieties of cotoneaster of different origin were tested. The paper identifies promising new cotoneaster varieties for immigration into the landscapes of the region. Currently, an inventory has established 12 varieties of cotoneaster. According to the duration of spring development, the studied varieties can be divided into two groups: dissolving vegetative buds in the second and third decades of April - 75% (C. foveolatus, C. intergerrimus, C. lucidus, C. melanocarpus var. Laxiflora, C. nitens, C. oliganthus, C. racemiflorus, C. soongoricus, C. zeravschanicus). In the second group there are varieties in which the vegetative buds bloom in the first and second decades of May - 25% (C. melanocarpus, C. divaricatus, C. pannosus). The cotoneaster bloom period averages 16 ± 2 days. Most of the characterized varieties (54.5%) bloom in the third decade of May, flowering 36.3% falls on the first decade of June. The average vegetation period for woody plants in Khakassia reaches 165 days. Cotoneaster, having an East Asian locality, is close to this value. The vast majority of the considered varieties (75%) has winter hardness at the level of I point. 16.6% of the varieties freeze over in some years (winter hardness II point). The largest weight is 1000 pcs. seed belongs to Cotoneaster oliganthus, C. racemiflorus, and C. melanocarpus. Soil germination of seeds in different vatieties of Cotoneaster varies from 4.4 to 24.4%. The highest rate was fixed in the shaggy cotoneaster (C. pannosus) from South-Western China. For a more complete assessment, each of the studied varieties was assigned an introduction score. The highest fifth point of introduction is characterized by seven species, or 58.3%. Four types have a fourth score - 33.3%. Based on a comprehensive assessment of the prospects of the studied cotoneaster varieties it was found that 67% of the varieties are quite promising. The promising varieties such as C. pannosus, C. melanocarpus var. laxiflora, as well as C. zeravschanicus (during vegetative propagation) for landscaping in Khakassia.
Lentils (Lens culinaris Medic.) belongs to the group of valuable high-protein food crops. A significant role in increasing its productivity is given to breeding. Among the methods of statistical data processing, the analysis of correlation interconnection between characteristics has become widespread in selection. Therefore, the aim of the research was to determine the correlation between the main economically valuable traits of lentil collection samples in the conditions of the Omsk region. Research project was carried out in 2016–2018 on the sidelines of the training and experimental farm of the Omsk State Agrarian University, located in the Southern forest-steppe of Western Siberia. The object of the study was the collection samples of lentils of different ecological and geographical origin (Russia, Germany, Turkey, Canada, Bulgaria, Moldova, Ukraine, Belarus, Kazakhstan). The standard was the Aida variety. Over the years of research, according to the results of the correlation analysis, a stable interconnection between the yield and the number of beans (r = 0.80 ± 0.04) and the mass of seeds (r = 0.80 ± 0.04) per plant was fixed. An average positive interconnection between yield was found during the periods from germination to flowering (r = 0.60 ± 0.09) and from flowering to ripening (r = 0.60 ± 0.09), the number of seeds in a bean (r = 0.60 ± 0.09), weighing 1000 seeds (r = 0.50 ± 0.09), the distance from the tip of the lower bean to the soil (r = 0.40 ± 0.08) and the height of the plant (r = 0.40 ± 0 , 08). A weak positive dependence of the yield was fixed on the length of the bean (r = 0.30 ± 0.07) and the height of attachment of the lower bean (r = 0.30 ± 0.07). The analysis showed the degree of influence of various elements of productivity on the formation of productivity, which affords more targeted selection in the selection process.