A review of the origin, development, current state and scientific achievements of agrarian science in Siberia is given. Historical information about the development of agriculture during the period of resettlement of millions of peasants from the European part of the Russian Empire is given. The beginning of the first systematic scientific research in Siberia is described. The history of the creation of the Siberian Branch of the V.I. Lenin All-Union Academy of Agricultural Sciences (VASKhNIL), to coordinate and strengthen scientific research on agricultural topics in the vast eastern part of the country is presented. The research institutes that were part of the Siberian Branch are given. The stages of reforming the SB VASKhNIL are described: Siberian Branch of Rosselkhozakademy (the Russian Academy of Agricultural Sciences), Federal Agency of Scientific Organizations (FASO), Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences (SFSCA RAS). Information is given about the scientific achievements of Siberian scientists: more than one and a half thousand new varieties have been created and widely developed, hundreds of highly effective agro-technologies of cultivation of grain, fodder, fruit, vegetable and ornamental crops have been developed, dozens of productive breeds, types and lines of animals have been obtained, new agricultural machines and tools, preparations, test-systems and vaccines have been developed. Agricultural scientists who have made outstanding achievements in the development of agriculture are named.

The establishment of the Siberian Research Institute of Animal Husbandry was in the 1930s, a time when the whole country, having survived collectivization and famine, was beginning to form a cultural animal husbandry with livestock productivity capable of providing the population of the region with milk and meat. The vast extent of the territories and the diversity of climatic conditions required animals capable of adapting to the cold long winters and hot short summers to which the cultivated European breeds were not adapted. In this regard, Siberian scientists faced the task of creating new types of dairy and meat specialized cattle, pigs, sheep, horses, combining high productivity and survivability in extreme conditions. If high genetically determined productivity was achieved by combining local improved cattle with European pedigree cattle, it was impossible to surpass the best imported breeds or at least maintain their level due to the inconsistency of natural and climatic conditions and incomparable feeding and housing conditions. It is necessary to create new breakthrough technologies in fodder production and animal housing with more energy-consuming elements, which will make the livestock products produced in Siberia competitive in comparison with the southern regions of Russia, not to mention Germany, France, USA, Australia. For this purpose, it is advisable to combine the efforts of fundamental and applied sciences in the development of breakthrough technologies for obtaining elite delicacy products demanded abroad. There is a need for economic mechanisms to facilitate this process, which in return will bring development and repopulation of remote and underdeveloped territories.

Creation and maintenance of a green zone around the capital of the Republic of Kazakhstan, Astana, is complicated not only by sharply continental climate, but also by soil salinity. In this regard, plants characterized by resistance to drought, frost and soil salinity are chosen for landscaping of these areas. Avoiding or minimizing the impact of negative consequences of afforestation of saline areas can be achieved by understanding the mechanisms by which forest trees and shrubs are able to survive in such conditions. The purpose of the study was to investigate the salt content in the soil under forest crops in the green zone of the Astana city and their influence on the condition of woody plants. The objects of the study were artificial plantations of the dwarf elm and maple ash planted in 2015. The main research method used was the establishment of sample plots in healthy, weakened and dead plantations. Maple ash was found to be more tolerant to higher salt content in soil than the dwarf elm. It was found that high content of toxic ions and low concentration of cations in the soil are related to the condition of crops, with more toxic type of salinization prevailing in the areas with weakened and dead plantations. According to the research results, it can be seen that the soil of healthy plots is characterized by a higher content of Ca²⁺, Mg²⁺ and Na⁺ cations than the soil of the weakened plantations. HCO₃^–, Сl^– and SO₄ ^2– anions are present in significant amounts in the soil under weakened crops, and the content of НСО₃^– ions is much higher in the areas with dead trees, which may be one of the reasons for severe soil salinization and vegetation death. It was also determined that sulfate-chloride-hydrocarbonate salinization and magnesium-calcium chemistry with toxicity greater than 0.17 mg-eq НСО₃^– negatively affected plant health. Sulfate-chloride type of salinization prevails on the healthy plots, in the weakened and dead plantations – the more toxic sulfate-chloride-hydrocarbonate type is found.

The results of research on the development and assessment of the accuracy of predictive models of spring wheat yield based on the use of remote sensing data and machine learning methods are presented. Yield data of spring wheat variety Novosibirskaya 31 obtained in a field experiment in the central forest-steppe of the Novosibirsk region in 2019–2022 were used in this work. Both qualitative predictors (the level of agrotechnologies intensification) and quantitative predictors (atmospheric precipitation in critical phases of wheat plant development and indicators of vegetation indices characterizing the condition of crops) were taken into account when creating the models. The use of various methods of intellectual data analysis, as well as the combination of parametric and non-parametric approaches in the study provided a sufficiently high accuracy of spring wheat yield forecasting. The methods used to predict spring wheat yield included linear regression, nonlinear Regression Splines based model, decision tree (CART), Random Forest, Adaptive Boosting (AdaBoost) and Gradient boosting. It was found that the models based on random forest, gradient and adaptive boosting algorithms were characterized by the highest predictive capabilities of crop yield depending on the emerging conditions of vegetation and controlling influence (R2 = 0.74–0.80). The development of predictive yield models using remote sensing and machine learning represent a certain scientific novelty and practical significance for effective management of crop productivity in changing soil-climatic and economic conditions. Predictive modeling is faced with multilevel environmental uncertainty and high variability of the resulting indicators on a particular land plot. In this regard, the multilevel approach may represent a promising solution for effective forecasting of spring wheat yield.

Seed production of spring grain crops is the foundation of food security of a modern state. Together with breeding, seed production provides high quality products in the required volume. In the Kirov region, the main producers of original seeds are the Federal Agrarian Scientific Center of the NorthEast named after N.V. Rudnitsky (FASC of the North-East) and Vyatka State Agrotechnological University. FASC of the North-East was reorganized in 2017 to include the North-East Regional Agrarian Research Center, Falyonskaya Breeding Station, Nizhny Novgorod, Mari, Mordovian and Chuvash Agricultural Research Institutes. The FASC of the North-East in Kirov has been producing original seeds of spring grain crops since 1974 by the method of individual-family selection. Original seeds are sold annually to the farms of the Kirov region and other regions of the Russian Federation for use in the nurseries of propagation and super elite. The article analyzes the work of the seed production department for 2019–2021, displays the methodology of obtaining original seeds of spring cereals (oats, wheat, barley), describes the varieties most in demand in the Kirov region. The area of sowing original seeds of spring cereals in the experimental fields of the FASC of the North-East increased by 23.4% during the period under review, reaching 49 ha in 2021. Due to dry weather in 2021, the gross harvest of conditioned spring cereal seed remained at the same level as in 2019 at 60.9 tons. The revenue of the seed division of the FASC of the North-East from the sale of original seeds increased by 47.53% in 2021 compared to 2019 to reach 2.5 million rubles. Original seeds are usually sold to the enterprises that have their own seed production units: AO Agrofirma "Doronichi", APC "Plemzavod "Krasny Oktyabr", APC "Agricultural Artel "Krasnaya Talitsa", OOO "Zurinsky Agrocomplex", OOO "Preduralye". Thus, the Seed Production Department of the FASC of the North-East is an important link in ensuring food security in the region.

One of the main tasks of modern breeding is to create the varieties that are resistant to negative environmental factors giving consistently high yields in a changing climate. Since 2021, the variety of soft winter wheat Krasnobskaya оzimaya, created by recombination breeding, has been included in the State Register of Breeding Achievements. Its pedigree includes, along with wheat varieties, triticum-agropyrum hybrid and triticale. This variety was evaluated for its economically valuable traits and properties. The studies were carried out in 2015–2022 in the Novosibirsk region. Novosibirskaya 40 was the standard, Novosibirskaya 3 was the control. Krasnobskaya оzimaya variety is recommended for cultivation in the forest-steppe zone of the West Siberian region. It is medium maturing, has rather high winter hardiness (60.0%) and resistance to lodging (4.1 to 4.7 points) with plant height up to 101 cm. The weight of 1000 grains averages 37.9 g. The variety has a high coefficient of productive tillering (5.3 pcs.). Over the years of the study, the average yield of the variety was 5.03 t/ha. On average, according to the results of the tests in the state variety test plots of the Novosibirsk region the yield amounted to 4.34 t/ha, the maximum yield was observed at the Maslyaninsky variety test plot – 4.9 t/ha, which is 1.14 t/ha higher than the standard. According to the results of the ecological test, the yield exceeded the varieties Novosibirskaya 40 and Novosibirskaya 3 by 0.74 and 0.41 t/ha, respectively, winter hardiness was at the level of the standards. High and stable yield of this variety is formed due to a number of economically valuable features: productive bushiness, weight of 1000 grains, resistance to lodging, winter hardiness. According to the results of the study, it was determined that the optimal sowing date of the Krasnobskaya оzimaya variety is September 1 with a shift of 1–3 days in both directions.

The article presents the results of the study of eight buckwheat varieties (Dikul (standard), Dasha, Diana, Design, Zhdanka, Zemlyachka, Natasha, Yashlek) for adaptability in the conditions of the Krasnoyarsk forest-steppe. For this purpose, the following indices were determined for each variety: plasticity coefficient, stability measure, intensity, stability index, variety stability level index, homeostaticity, breeding value of the variety, and adaptability coefficient. The hydrothermal coefficient showed that in 2021 the period from the second ten-day period of May to the first ten-day period of September was dry, in 2020 and 2022 – excessively humidified. The index of environmental conditions was with the sign "–" only in 2022 (–2.942). It was with a "+" sign in 2020 and 2021 (+2.821 and +0.121, respectively). This made it possible to determine the ability of the studied buckwheat varieties to adapt under contrasting conditions. Based on the plasticity coefficient in combination with the measure of stability, the conclusion was made about the ability of the varieties Zemlyachka, Diana, Design, Dikul, Yashlek to give high yield in favorable conditions. But Diana, unlike the other three varieties, in unfavorable conditions can noticeably reduce the yield. The varieties Design, Dikul and Yashlek showed slight yield reduction in the same situation. Dasha and Natasha varieties can produce higher yields under the worst conditions. At the same time variety Dasha is able to give both high and low yields in any conditions, which indicates its high meteorological dependence, especially since the value of the yield of this variety varies little from year to year. At the same time, the Zhdanka variety can sharply reduce yields in some years. The adaptability coefficient showed that Yashlek, Design and Diana have a very high degree of adaptability. Dikul can also be attributed to the varieties with a high ability to adapt to stressful conditions. According to the results of the study, Yashlek is the most adaptive variety (sum of the ranks amounted to 22). Diana, Design, Dasha and Dikul were slightly behind (sum of the ranks was 24–33).

The reserve for increasing the production of high-protein fodder is the cultivation of leguminous crops, including narrow-leafed lupine (L. angustifolius L.). Protein content in the narrow-leafed lupine seeds is 33–35%, in the dry matter of green mass – 17–19%. It is one of the best forecrops for field crops, as it is able to accumulate 150-300 kg/ha of symbiotic nitrogen in its biomass. The research was conducted in the southwestern zone of the Central Region (Bryansk region). The soil of the fields is sod-podzolic loamy with an average fertility level, pH 5.1–5.6. The weather conditions did not quite meet the biological requirements of the crop. The results of the study of the varieties and cultivars of narrow-leafed lupin in the competitive variety trial 2020–2022 on grain and green mass yield, adaptability, alkaloid con tent and duration of the growing season are presented. The Vityaz variety included in the State Variety Register of the Russian Federation in six regions is taken as a standard. The varieties Bryansky kormovoy and Belorozovy 144 are released in all the regions of the country. Grain yield of different varieties and cultivars varied in the range of 1.59–3.74 t/ha during the years of study. The maximum value was obtained for Hybrid 1246 in 2020. SN 39-20 and Hybrid 1246 (2.86 and 2.76 t/ha) stood out in terms of average grain yield over the 3 years of the trial. The adaptability coefficient was 121 and 117%. The alkaloid content in the seeds of these varieties ranged from 0.010 to 0.046%, with an annual average of 0.028%. Less than 0.04% of alkaloids in the seeds were observed in the varieties SBS 56-15-1, Narrow-leafed 53-02 and Hybrid 1314. The duration of the growing season varied in the range of 78–95 days by year of the trial, the calendar maturity date was the end of July – the 2nd ten-day period of August. All of them are in the "very early" group (71–100 days). The minimum maturity date was observed in 2021 and the maximum in 2020. The varieties Belorozovy 144 and Hybrid 1314 have a longer (6–9 days) vegetation period compared to the standard variety Vityaz. They are characterized by high stature and intense lateral branching. The term of technological readiness for harvesting on green mass came in the first ten days of July. All lupine varieties and cultivars studied in the experiment exceeded the standard in green mass yield by 3.1-8.8 t/ha.

Zinc (Zn) is one of the essential elements for all life forms on Earth. Investigation of zinc levels in milk is a topical issue for dairy farming and processing industry. The dynamics of zinc content in milk of cows during 6 months is presented. Milk was obtained from Black-and-White cows at the age of 3–4 years (2–3rd lactation). The strength and direction of correlations with the amino acid composition of milk were established. 132 milk samples from a breeding farm (Krasnodar Territory) were studied in this work. A random sample of 22 lactating cows was drawn from the dairy herd from January through July 2022 (excluding April). Atomic-adsorption analysis with electrothermal atomization, deuterium and Zeeman correction were used in order to accurately determine the level of zinc in milk. Correlations between amino acids and zinc in cow milk samples (in winter-spring-summer period) were obtained, as well as correlation coefficients (r) and coefficients of determination (r²) at certain levels of significance. The zinc content of milk varies greatly from month to month. Insignificant differences relative to January were established in May (higher by 1.54%), June (higher by 9.72%) and July (lower by 7.66%). Significant reliable differences were found in February – higher by 58.15% (p ˂ 0.001) – and in March – higher by 97.34% (p ˂ 0.001) relative to January. All obtained correlations of zinc with amino acids in milk are positive, e.g. for threonine in January r = 0.50 (r² = 0.25, p = 0.02), in February r = 0.82 (r² = 0.67, p ˂ 0.01), in March r = 0.25 (r² = 0.06, p = 0.04), in May r = 0.35 (r² = 0.12, p ˂ 0.01).

The effect of trace elements on intestinal microflora of the intestinum cecum of broiler chickens was studied. One of the causes of reduced intestinal digestive function in birds is the overgrowth of microbial flora in the intestinal lumen, resulting in decreased chyme advancement and premature deconjugation of primary bile acids. Excess microbial flora can cause damage to the small intestinal epithelium because the metabolites of some microorganisms are cytotoxic. Determination of the number of microorganisms in the intestinum cecum of broilers is an important step in monitoring the viability of the organism. The intestinal microbiota is the largest and most complex microecosystem of animals. Microflora is not only involved in various metabolic pathways to regulate metabolism, but also plays an important role as an intermediary between food and host. Gut microbiota diversity and avian body health influence and shape each other, and the gut microbiota maintains a relatively balanced state with the host under sustained environmental regulation. The gut microbiota plays an important regulatory role in nutrient metabolism and immune defense. The paper presents a study of the effect of different forms of chromium (Cr): chloride (CrCl₃), ultrafine particles (UFP Cr) and picolinate (CrPic) on the intestinal microflora of the intestinum cecum of broiler chickens. In the group receiving CrPic with the diet, the genus Bacteroides occupied more than 50%, which is more than half of the total abundance of this taxon, the number of Clostridium XlVb was much less abundant at 0.6%. Collectively, the present study characterized the dynamic changes in the microbial community of the intestinum cecum of broiler chickens under exposure to different forms of Cr. The addition of CrPic to the diet of broiler chickens significantly affected the microbial diversity of the intestinum cecum and caused changes in the microbial community characterized by an increase in the phylum Bacteroidetes, where Bacteroides species was the main one.

The possibilities of increasing the genetic potential of the breeding stock of dairy cattle by using the seed of stud bulls belonging to Russian organizations for artificial insemination of farm animals and the imported ones have been studied. The use of the Holstein breed bulls' seed of the Russian and imported selection on the breeding stock of the Red Steppe and Black-and-White breeds in the conditions of the Omsk region farms has been analyzed. The obtained results of researches have revealed the improving ability of stud bulls of the Russian selection, used on the breeding stock of the Red Steppe breed, on the main productive indices of the first and the highest lactation. The milk yield of the first heifers by 150 kg, or 2.4%, exceeded the productivity level of the imported root counterparts, the excess in fat and protein amounted to 0.1 and 0.08%, respectively. The coefficient of stability of lactation activity in this group of animals was maximum among the whole livestock – 92%. The superiority of imported rootstock animals on the main productive indicators has been identified on the breeding stock of the Black-and-White breed: milk yield (+769 kg), fat and protein content (+0.04 and +0.13%, respectively), milk fat and protein yield (+13 and +17%). Also, in the process of research the improving influence of the genetic potential of stud bulls of the imported selection on the whole breeding stock of the Red Steppe breed and on the breeding stock of the Black-and-White breed with the level of productivity of 8000 kg has been determined. The improving effect on the milk yield of the bulls of the Russian selection when they are selected to the breeding stock with the level of productivity up to 7000 kg has been found.

A method for optimizing design and geometric parameters using a "simplified" simulation of the water-cooling process is presented. This method allows solving the issues of operational manufacturability in the aspect of creating energy- and resource-saving constructions of water storage tanks. In the study to determine the size of underground and above-ground parts of the water storage tank the criterion of heat loss minimization is accepted and the mathematical model of water heat exchange with the ground under the condition of its homogeneity and stationarity of the thermal regime is compiled. The relationship between the height and the radius of the underground part at the minimum value of the heat transfer coefficient from water to the ground through the metal wall is established. Using the heat balance equation, an analytical expression is found that determines the aboveground fluid temperature for any instant of time. On the basis of the theory of differential calculus the condition of minimality of the cooling rate of water, which gives up heat through the side walls to the environment and air space under the roof of the vessel, was revealed, which made possible to optimize the size of its above-ground part. The relationship of the radius and the total volume of the water holding capacity was determined for the average values of ambient temperature and wind speed recorded in the region of the research. The developed algorithm of the method of "simplified" modeling and its representation in the form of a block diagram can be implemented at digitalization of calculation-analytical procedures for selection of structural and geometrical parameters of the vessel according to the criterion of minimum heat losses. The functions of the radius and the height of the underground and above-ground parts of the vessel from the argument of its total volume are graphically illustrated.