Species abundance zones of sunflower disease pathogens on the territory of russia and neighboring contries

Abstract

The relevance of the study is determined by the need to improve the monitoring effectiveness of sun-flower diseases distribution. The purpose of the research is to spatially divide the territory of industrial sunflower cultivation in zones of different abundance in Russia, Ukraine, Kazakhstan and the Republic of Moldova. The purpose of the research is to spatially divide them into zones of various abundances on the territory of industrial sunflower cultivation in Russia, Ukraine, Kazakhstan and the Republic of Moldova. As a starting material for computer analysis, vector maps from AgroAtlas were used [Afonin et al., 2006], characterizing the distribution of 14 species of sunflower pathogens. As a result, an original vector map was created on the basis of the geoinformation system developed using modern geoinformation technologies (Idrisi 32.11, MapInfo Professional v. 9.0 and later), characterizing the zones of various abundances of sunflower pathogens. There are 4 zones where diseases caused by 11,12, 13 and 14 species of pathogens appear. In the sunflower area, from the Volga region to the Primorsky Territory and in Kazakhstan, there are 11 species of pathogens spread. The greatest saturation with pathogen species (14) is confined to the territory of the Republic of Moldova, southern Ukraine and the western North Caucasus within the Russian Federation. A geographic information system (GIS) “Distribution” is composed, which is a set of vector files of all 14 analyzed sunflower pathogens, vector layers of these species distribution zonality, as well as basic vector layers of the “shell”. Spatial allocation of zones with uniform saturation with species of pathogens will be used in determining the necessary means of sun-flower protection in a multi-year plan, the development of plant protection systems specialized for each zone. This is an electronic resource, additional to the previously developed GIS and the map of sunflower growing risk zones, published earlier [Yakutkin, Saulich, 2016].