Agro-industrial and fishery complex of the Russian Far East: Data on investment projects and transport connectivity.

In the article, the authors identified the most attractive areas for investment in the Far Eastern Federal District based on statistical data on the agriculture and processing industry. The authors presented a set of secondary data from the Federal State Statistics Service and the Investment Projects Digital Platform, which reflect the cost of implementing projects in the Far Eastern Federal District. These data were presented to characterize the region as deeply diversified, with a predominance of the livestock and fishing sectors.

Assessment of the variability of reproductive abilities of a black and white cattle using genealogical data and paratypical factors.

The purpose of this study was to assess the role of paratypical and genetic factors in the variation of the complex of traits associated with the reproductive quality of livestock in the conditions of the CJSC breed livestock factory farm "Irmen" in a retrospective aspect. Black-and-White Irmenskiy interbreeds type breed was officially registered in 2000 by the Ministry of Agriculture of the Russian Federation as a breeding achievement and is a unique cattle subpopulation, bred only at the Irmen breed livestock factory farm, in Western Siberia, (Russia). This type is the best in all of Western Siberia in terms of milk yield and appearance among annual competitions and official state assessments.

Crop production in Russia 2030: Alternative data of the development scenarios.

This article reveals the main indicators of scientific and technological development (gross yield, yield, acreage and average annual prices for crop products) of the crop industry in the long term. Using these indicators, two development scenarios "Technological adaptation" and "Technological breakthrough" of the crop production sector until 2030 were identified. Scenarios for the development of the crop production industry in Russia until 2030 were constructed by means of a correlation and regression analysis.