News, notices, press releases and commercial materials about key events in the agro-industrial complex and agriculture, trends and innovations.

The rating scientometric indicators of the journal “Agrarian Science” were studied: the average Hirsch index of the publication authors is 11.98; the average age of the publication authors is 50 years; the number of unique authors is 638; the number of new authors is 383.

The best scientometric indicators of the journal “Agrarian Science” are recorded according to the indicator “Average Hirsch index of authors” and complies with the recommendations of the Russian Research Center for Scientific Information, the Higher Attestation Commission, the Russian Center for Scientific Information, WOS, Scopus, and is among the top 25% of journals for each reference group presented on the website. https://www.elibrary.ru/

Statistical information on the “Top 10 authors” of the journal “Agrarian Science” is presented, which was ranked by: the number of articles in 5 years; the number of citations in the RSCI articles in 5 years; the number of citations in the core of the RSCI articles in 5 years; the Hirsch index in the RSCI; the Hirsch index for the core of the RSCI; the total number of articles in RSCI; the total number of articles in the core of the RSCI; the total number of citations of articles in the RSCI; the total number of citations of articles in the core of the RSCI.

In this manuscript, a pro-oxidant-antioxidant control of the effectiveness of treatment with various schemes of highly productive cows in the comorbid course of postpartum acute purulent-catarrhal endometritis and purulent-necrotic disease in the finger area was carried out.

As a result of the conducted studies, it was found that the most effective complex treatment for highly productive cows with comorbid course of postpartum endometritis and orthopedic pathology turned out to be scheme I of the experimental group, as evidenced by the general condition of the experimental animals, as well as the positive dynamics of the increase in the number of antioxidant enzymes against the background of a decrease in the amount of lipoperoxidation products in the blood serum. It was found that the complex treatment of highly productive cows according to scheme I contributes to a faster overall clinical improvement already on day 9.42±0.25 (***), the onset of sexual hunting on day 52.00±0.88 (***), and the absence of complications when compared with the basic treatment of animals of the IV experimental group. It should be noted that in blood serum samples of animals of the First experimental group, the level of POL products (DC, MDA, MSM) decreases significantly faster against the background of an increase in the AOS system (SOD, CT, GLP, OAOA) compared with other experimental groups, reaching reference values.

The article presents the results of a comprehensive study of systemic pathological disorders in young rainbow trout (Oncorhynchus mykiss) under spontaneous infestation with Ichthyophthirius multifiliis. The study included clinical examination, parasitological, microbiological, haematological, biochemical and histological analyses. The intensity of invasion (II) of ichthyophthiriosis was 7.0 ± 3.4 examples per microscopic field (body surface) and 24 ± 8.9 examples per microscopic field (gills). [Or define your abbreviation]. A complex of Gram-negative bacteria was isolated from the liver of infected fish: Enterobacter sp. (20%), Citrobacter freundii (60%), Acinetobacter calcoaceticus (20%), indicating the development of secondary bacterial infection. Haematological analysis revealed a decrease in erythrocyte count to 1.05 ± 0.06 x 106 cells/µL and an increase in leucocyte count to 3.87 ± ± 0.51 x 104 cells/µL, with a relative neutrophilia (38.45 ± 0.97%). Serum biochemical analysis showed a significant increase in AST activity (750.9 ± 147.7 U/L), ALT (39.4 ± 6.7 U/L), alkaline phosphatase (467.8 ± 72.6 U/L), LDH (2557.3 ± 245.1 U/L), total protein (43.83 ± 5.31 g/L), albumin (24.12 ± 2.2 g/L) and glucose (3.11 ± 0.13 µmol/L), and urea (3.23 ± 0.62 µmol/L) concentrations. Histological analysis revealed damage to the gill epithelium, degradation of renal tubules, vacuolisation and necrosis of hepatocytes, and hypotrophy of reticuloendothelial cells of the spleen. The obtained data indicate that ichthyophthyriasis is a systemic disease leading to multi-organ disorders in rainbow trout and manifests as an associative protozoalbacterial disease.

Lipase is an enzyme that is responsible for the breakdown of fats into glycerol and free fatty acids. These products are then absorbed into the gastrointestinal tract of the animal and are involved in the formation of specific fat compositions for each species, which are then used by the body as an energy source or deposited in the underlying tissues and internal organs. The aim of the study was to study the effect of lipase exoenzyme in dosages of 25 g/t and 50 g/t on rumen metabolism and nutrient absorption in ruminants. The objects of research are cicatricial fluid (RJ) obtained from Kazakh white-headed bull calves with an average weight of 310–320 kg at the age of 14–15 months (4 heads in each group). Exoenzyme preparation: experimental group I — lipase 25 g/t; experimental group II — lipase 50 g/t.

With an increase in the concentration of lipase in feed, the level of total nitrogen in the rumen content increases significantly, in the II experimental group this indicator was 99.42 mmol/l, which is 24.55% higher than in the I experimental group and 50.60% (p < 0.05) higher than in the control. The digestibility of dry matter in the first experimental group was higher by 6.09% (p < 0.05), crude protein — by 5.22%, crude fiber — by 6.10% (p < 0.05), as well as the level of assimilation of essential and macronutrients relative to the control group. Thus, lipase is a powerful digestive stimulant for animals. This can affect the growth and development of calves and reduce the cost of feed, as the efficiency of using fat, which is contained in the main raw materials of the diet, increases significantly.

Relevance. When breeding dairy cattle of the Holstein breed, animal husbandry practices, along with the positive qualities of animals, face problems with reducing the reproductive function of cows and shortening the duration of the productive period. The purpose of the work is to analyze the reasons for culling dairy cows after the first lactation, depending on genetic factors (kappa casein genotype, lineage and breeding bull).

Methods. The research was conducted in the conditions of a typical agricultural enterprise for the production of milk — a breeding reproducer for the breeding of Holstein cattle. The material and data for comparison were the SELEX Dairy Cattle IAC database, the results of its own research, veterinary documentation, and culling certificates.

Results. As a result of the conducted research, it was found that the largest number of cows were eliminated due to diseases of the digestive system, and most often this is a metabolic disorder and in one case, scarring. Udder diseases, mastitis, came in second place. Limb diseases and limb injuries with sprains and ruptured ligaments were found in 24% of the culled animals, accounting for 12.7% and 11.3% of the cull, respectively. According to breeding criteria, 15.5% were culled. These are unproductive first-time heifers with a milk yield of less than 8,500 kg per lactation. Culling is mostly observed in the group of cows with a heterogeneous kappacasein AB genotype. 34.5% of the total livestock turned out to be such first heifers, and among them the cull was 27.6%. At the same time, the most stable genotype was the homozygous BB genotype. In the group of cows of the Reflection Sovering 198998 line, the main causes of culling were udder, digestive diseases and low productivity, and in the group of cows of the Ideal 1013415 line, digestive and udder diseases, which account for 50% of all causes.

Maximum genetic progress in economically important traits in pig populations depends on the efficiency of their evaluation of breeding qualities, selection strategy in breeding groups and organization of selection of parental pairs to produce offspring of high breeding value. The most effective method is the selection of individuals based on a multiple-traits production, taking into account their relationship and economic importance.

This paper presents farrowing records (number of piglets born alive (NBA), average piglet weight in the litter (ABW) and fattening and meat quality data (average daily weight gain until reaching 100 kg (ADWG) and backfat thickness over 10–11 ribs (BF) in Yorkshire pigs. The economic values of reproduction traits, meat and fattening qualities of pigs were determined, and the heritability coefficients of these traits were calculated in this study. For the traits NBA, ABW, ADWG and BF in the Yorkshire pigs the heritability was 0.14, 0.20, 0.40 respectively. The results of optimization of the selection index equation for evaluation breeding value of pigs by traits depending on the use of animals in different breeding systems (purebred, crossbreeding) are presented. Based on the developed selection indexes, the formation of breeding groups was analyzed. Using the rank correlation coefficient, the level of relation between the same animals, which were estimated by single trait and different variants of selection index, was determined (the range of variation ranged from -0.21 to +0.65 on total index and from +0.11 to +0.84 on optimized selection index).

Relevance. The aim of this work is to validate three sperm transcripts of candidate genes COL4A2, IRG1, MMP12 obtained using RNA-Seq and correlation analysis of their expression levels with high and low sperm quality indicators of Holstein bulls.

Methods. Eighteen samples of cryopreserved sperm ejaculate were studied. The relative expression of candidate genes COL4A2, IRG1, MMP12 was analyzed, and rank correlation was analyzed using Spearman’s test.

Results. The results of the study showed that the relative expression of the studied genes COL4A2, IRG1, MMP12 was predominantly lower in spermatozoa with low productivity, which confirms the results of a complete transcriptome analysis, where reduced differential expression was also observed in the group of bulls with poor productivity. Statistically significant differences in the levels of expression of total sperm RNA of the studied genes were obtained for all genes in both groups of bulls. Correlation analysis revealed a high dependence between the expression level of the studied genes COL4A2, IRG1, MMP12 and significant indicators of sperm quality. Transcripts of the genes COL4A2, IRG1 showed a high significant negative correlation with sperm motility, the content of live and normal cells and the average Ca₂⁺ content. A significant positive correlation was observed for undesirable traits, such as the content of dead and defective cells. The gene MMP12 transcript had the opposite effect in comparison with the genes IRG1 and COL4A2. The expression level of the MMP12 gene showed a significantly high correlation with motility.

Relevance. Single nucleotide polymorphisms (SNPs) are important markers of genetic variation in chickens that occur in the genome with high frequency. The identification and characterization of such markers allow characterization of breeds in terms of their genetic traits. The aim of this work was to evaluate polymorphism in the LCORL gene in ornamental chicken breeds based on single nucleotide polymorphisms.

Methods. Groups of ornamental chicken breeds: Novopavlovskaya golden (n = 48), silk (n = 30), dwarf cochinchin (n = 30) were formed for the research. The LCORL gene region was analyzed by three single nucleotide polymorphisms (rs14491003, 236 G/T and 503A/G) using the PCR-PDRF method.

Results.The rs14491003 polymorphism was detected only in the population of Novopavlovskaya golden hens, where 83.3% of individuals had the CC genotype. For SNP 236G/T only in the sample of silk breed hens three possible variants of genotypes were detected, and the frequency of G and T allele was 46.7% and 53.3% respectively. Three genotypes of the LCORL gene were identified by SNP 503A/G in all poultry samples. For silk breed chickens, high frequency was found for allele A (71.7%), and for Novopavlovsk golden and dwarf cochinchin breeds — allele G (69.8% and 60.0%, respectively). When analyzing allele frequencies for all polymorphic SNPs, no shift in genetic equilibrium was detected (χ2 ˂ 3.84). The obtained results indicate that chickens of ornamental breeds have breed peculiarities caused by polymorphic variants of the LCORL gene, which confirms the functional role of this gene in the processes of formation and growth of skeletal bones in chickens of different breeding directions.

Longevity of cows is the most economically important characteristic in dairy cattle breeding, so studies aimed at an earlier assessment of the productive life expectancy of dairy cattle are relevant. The total population of Simmental cows was 23 587 animals, the study period covered 1999–2017. Survival analysis was carried out using the Survival Kit v6.1 program, using the Cox regression model. It has been established that the greatest impact on the survival of Simmental cows is exerted by the level of milk productivity, and its increase above the median values, that is, more than 6362 kg of milk in the period 2011–2017, increases the risk of Simmental cows leaving. In the general population has seen an increase in productivity — from 3865 kg of milk in the period before 2004 to 6362 kg in the period 2011–2017. Analyzing the survival graphs of Simmental cows in different time periods, it was found that in each subsequent generation, the survival of cows increases by an average of 19.1–21.0% or from 713 to 1029 days. This is due to an increase in the level of feeding, housing conditions and better work of the veterinary service. The studies conducted to analyze survival to assess the productive longevity of Simmental cows are being conducted in Russia for the first time and are of an exploratory nature. The use of the Cox regression method simplifies calculations and facilitates genetic and non-genetic studies of longevity in dairy cows, which will subsequently allow this indicator to be included in the general selection index.

Relevance. The introduction of robotic technology for differentiated application of fertilizers makes it necessary to study the intra-field heterogeneity of the availability of arable land with nutrients. It is necessary to evaluate the structure of spatial heterogeneity and the direction of changes in the long term. The use of different methods for determining available forms of nutrients in different years makes it difficult to compare long-term data.

Methods. Long-term (1965, 1987, 2021) data on the content of mobile phosphorus (P₂O₅) and exchangeable potassium (K₂O) in the soils of the crop testing site of the Republic of Tatarstan were used. The P₂O₅ content was determined according to Truog (1965) and Kirsanov (1987, 2021), and the K₂O content according to Maslova (1965, 1987) and Kirsanov (2021). Agreement in the assessment of availability was calculated using Cohen’s kappa coefficient.

Results. The availability of P₂O₅ by the Kappa coefficient shows a moderate coincidence between 1965 and 1987 (κ = 0.45), and a significant coincidence between 1987 and 2021 (κ = 0.62). The availability of K₂O between 1965 and 1987 has a very weak coincidence (κ = 0.10), between 1987 and 2021 — a satisfactory coincidence (κ = 0.25). In contrast to P₂O₅, the structure of spatial heterogeneity of K₂O availability remains weak during prolonged use. The availability of P₂O₅ and K₂O fields increased significantly from 1965 to 1987, and decreased from 1987 to 2021. The intra-field variability of the indicators increased from medium to high (to close to very high (P₂O₅) from 1965 to 2021.

The research was conducted in a field experiment in Nizhny Novgorod region on light gray forest soil. The study examined the effects of a biological preparation “Vostok EM-1”, a microfertilizer “Nanosilicon”, and macro mineral fertilizers on yield and yield components of various winter wheat cultvars. The experiment followed a three-factor design.

In 2024, winter wheat yields in the experiment ranged from 3.73 t/ha (cv. Nemchinovskaya 85) to 5.01 t/ha (cv. Mokovskaya 82). Application of mineral fertilizers at N₁₂₀P₆₀K₆₀ increased wheat yield by 0.16 t/ha compared to the unfertilized control, reaching 4.39 t/ha. Foliar application of “Nanosilicon” microfertilizer and “Vostok EM-1” biopreparation during the tillering phase increased yields by 0.13 t/ha (3.1%) and 0.31 t/ha (7.5%), respectively, compared to untreated plots.

Biological yield potential calculations showed high productivity in studied cultivars — up to 7.99 t/ha (Moskovskaya 82). Mineral fertilizer application at N₆₀P₃₀K₃₀ and N₁₂₀P₆₀K₆₀ rates increased this parameter by 0.25–0.31 t/ha. Using “Vostok EM-1” biopreparation and “Nanosilicon” foliar application in winter wheat cultivation technology increased biological yield by 0.22–0.69 t/ha (3.3–10.4%) compared to the control.

The trait ‘1000-grain weight’ is an important criterion of the adaptability of varieties, since this trait demonstrates the final correlation result between the variety and the environment during productivity formation. The purpose of the current study was to estimate the variability of such values as adaptability, stability, stress resistance and homeostasis according to the trait ‘1000-grain weight’ in 20 winter barley varieties and lines developed by the FSBSI “ARC “Donskoy”. The study on the estimation of adaptability parameters was carried out in the department of barley breeding and seed production on the experimental plots of the FSBSI “ARC “Donskoy” (Zernograd, Rostov Region) from 2021 to 2023. In order to calculate the adaptability parameters, there have been used such coefficients and indicators as an indicator of homeostasis (Hom), breeding value (Sc), stress resistance (Y_min–Y_max) and genetic flexibility ((Y_max +Y_min)/2), the coefficient of response to favorable growing conditions and an indicator of the variety stability level according to the relevant methods. There have been identified the varieties with high adaptability and stability parameters. The varieties ‘Marusya’ and ‘Step’ were identified as those adapted to the conditions of the region, capable to have large productivity and adapt to changing environmental conditions and reduce the value of ‘1000-grain weight’ to a lesser extent. The samples ‘Parallelum 2086’, ‘Pallidum 2100’ and ‘Parallelum 2136’ proved to be stable, capable to minimize unfavorable environmental conditions, show a weak response of a variety to changing cultivation conditions, capable to change dynamically the indicator of ‘1000-grain weight’ under the effect of a changing environment. The line ‘Pallidum 2100’ has proven to be stress-resistant ((Y_min – Y_max) = - 4.1, (Y_min +Y_max)/2=44.5). The above-mentioned varieties and lines possessed a complex of studied traits and were the most adapted to the formation of large, heavy grain.

Relevance. The article presents the results of the A.V. Zhuravsky Institute of Agrobiotechnology of the Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences (Syktyvkar, Komi Republic) from 2021 to 2023 on breeding work in nurseries of preliminary and basic tests (third, fourth, fifth tuberous generation).

The purpose of the research is to create new varieties by selecting promising breeding lines and hybrids that are adaptive to the changing soil and climatic conditions of the northern regions of the country, with excellent tolerance to various diseases, high yields and high-quality tuber indicators.

Methods. The objects of the study were twelve hybrids (varietal samples) of potatoes of four breeding lines: Briz x Krepysh, Red Scarlett x Krepysh, Oksania x Gala, Bellarosa x Gala. Controlled crossing (hybridization) was carried out at the Federal Research Center of Potatoes named after A.G. Lorkh (Korenevo, Moscow Region).

Results. As a result of the studies on the obtained commodity and consumer parameters of potatoes, productivity of one bush, fractionalization of tubers and their quality for the subsequent stages of breeding work, three promising hybrids of two breeding lines belonging to the mid-early and mid-season group, with a yield of 28.1–34.5 t/ha were selected: 2971-3 (Oksania x Gala) and 2984-50, 2984-60 (Bellarosa x Gala). The hybrids obtained in the course of the work can be used as valuable source material for further breeding process of obtaining potato varieties for the northern regions of the Russian Federation.

In a two-factor field experiment on leached medium-loamy chernozem in the conditions of the south of the Non-Chernozem zone of Russia, an assessment was made of the effectiveness of the complex use of herbicides and chelated boron fertilizer in the cultivation of amaranth (Amaranthus L. sp.) for grain and green mass. The amaranth variety Voronezhsky 36 was used as the object of the study. It was found that in amaranth crops with a complex type of weed infestation, including annual monocotyledonous and dicotyledonous weeds, as well as perennial root-suckering weeds, the greatest biological and agronomic effect with the least suppression of cultivated plants was established for the herbicide Traser (clomazone 480 l/ha) at a dose of 0,3 l/ha, from the use of which the number and weight of weeds decreased by 91 and 93%, respectively, and the grain harvest increased compared to the control by 0,35 t/ha, green mass — by 5,4 t/ha. The use of a tank mixture of herbicides Demetra + Quickstep reduced the weed infestation of the crop, but had a herbotoxic effect on amaranth plants and reduced their productivity. Treatment of amaranth crops with chelated boron fertilizer (150 g/l) suppressed the inhibitory effect of the herbicide Tracer, contributed to better plant development and the formation of additional grain and green mass. The highest yield of amaranth grain (1,80 t/ha) was provided by the combination of Traser 0,3 l/ha + chelated boron fertilizer 2 l/ha, green mass (30,2 t/ha) — the combination of Traser 0,3 l/ha + chelated boron fertilizer 3 l/ha.

Relevance. Winter wheat occupies significant agricultural areas in the Rostov region. Breeding work on developing new winter wheat varieties should be aimed at developing plants that will be of high productivity and at the same time will be resistant to unfavorable environmental conditions. It necessitates to increase the adaptability of plants.

Methods. The current work was carried out in the southern part of the Rostov region on the fields of the breeding crop rotation of the FSBSI «ARC “Donskoy”» in 2022–2024 according to the methods of the SVT and a field trial.

Results. The current paper has presented the results of developing the winter common wheat variety Vasilich. During the competitive variety testing, conducted on five forecrops (green manure fallow, peas, maize for grain, sunflower, winter wheat), the mean productivity of the new variety over three years was 8.97 t/ha, which was 1.43 t/ha higher than that of the standard variety Ermak. The variety Vasilich is characterized by its low height, resistance to lodging and to grain shedding in the ear, as well as high frost resistance, drought resistance and resistance to pathogens. The variety forms large grain with high nature weight, with density of 820 g/l. Protein percentage in grain is 14.2%, and 28.6% of gluten. The specific work of dough deformation, or flour strength reaches 278 u. a. The volume yield of bread from 100 grams of flour is 690 cubic centimeters. The variety has been included in the State List of Breeding Achievements for 2025 and approved for use in the Russian Federation in five regions, such as Central (3), Central Blackearth (5), North Caucasus (6), Middle Volga (7) and Lower Volga (8).

Relevance. Prevention of the spread of infections at the stages of seed production and breeding of new varieties plays an important role in potato breeding and seed production. Currently, in breeding and seed production, a manual or mechanized method of carrying out variety harvesting is used, which has a low level of automation and implies the presence of an operator culling and removing potato plants. The objectives of the study are the theoretical substantiation of a digital identification system for infectious diseases of potato plants and the development of an algorithm for identifying the coordinates of diseased plants for their subsequent removal.

Methods. In the process of developing a system for recognizing infected potato plants and determining the coordinates of their tuber nest, machine vision technologies and deep learning algorithms, as well as a database of images of infected plants, were used. Photogrammetric methods were used to determine the actual size of the object in the frame, as well as to minimize lens distortion and take into account camera angles relative to objects.

Results. The necessity of creating a digital identification system for infectious diseases of potato plants for their subsequent effective detection and removal is theoretically substantiated. Factors affecting the accuracy of determining coordinates, such as lens distortion and camera orientation angles, are taken into account. An algorithm for the joint operation of a system for recognizing infected potato plants, a system for determining the coordinates of diseased plants, and an actuating mechanism for extracting plants from the soil is proposed. 

One of the priority areas of scientific research in the field of quality control of food products is to develop reliable criteria to identify their raw materials composition.

The  purpose  of  the  work is to test the previously proposed integrated approach for the identification of tea raw materials in soft drinks, as well as the identification of other types of plant raw materials (willow tea and lemon).

First screening the test samples for caffeine content and then for L-theanine content allows us to identify possible counterfeits containing, for example, fireweed extract instead of green tea extract, and to select samples for further molecular genetic studies including sampling and extraction of DNA from the objects of the study, amplification, endonucleic splitting of amplikons, electrophoresnic detection of PCR products and RFLP-fragments in agarose gel. At the same time, PCR products amplified from DNA samples from tea extract, fireweed and lemon pulp were split by TAQI, BTRI and HinfI restrictions into characteristic fragments. It is shown that the TAQI, BTRI and HinfI restricted PCR-RFLP used by the PCR-RFLP allows you to identify not only tea raw materials as part of non-alcoholic beverages, but also fireweed and additional components, for example, lemon, with its joint presence with tea. In general, the proposed integrated approach, including chromatographic (determination of caffeine and L-theanine) and molecular genetic methods (determining marker fragments of tea DNA), can increase the efficiency of detecting falsified non-alcoholic drinks in which tea raw materials are replaced by other plant raw materials.

The article discusses the current challenges of applying large language models (LLMs) in the agricultural business sector and proposes modern approaches to address these issues. Despite the high effectiveness of LLMs in natural language processing, their adaptation to the tasks of the agricultural industry involves a number of difficulties. Key problems include the formation of specialized training corpora, balancing the quality of responses with computational costs, objective evaluation of model quality, and their integration into existing agricultural information systems. Practical approaches to solving these problems are discussed, including fine-tuning models on specialized data, computational optimization methods, and the use of hybrid architectures (in particular, RAG). The main areas of LLM application are also analyzed: text generation, search engine improvement, analysis of user reviews, and customer support automation. The research aims to improve the accuracy, relevance, and personalization of model responses in tasks related to forecasting, analysis, and automation of processes in agriculture. The proposed solutions contribute to the effective integration of LLMs into the infrastructure of the agricultural sector, enhancing decision-making quality, forecasting, and business process automation.

This article explores the potential of blockchain and big data analytics for enhancing traceability and sustainability in agri-food supply chains. It addresses the challenges of insufficient transparency and reliability in tracking the origin, quality, and safety of agricultural products. The study proposes a conceptual model integrating blockchain platforms with intelligent data analysis methods to create a decentralized system for recording and verifying food product information “from farm to fork.” Based on empirical data from expert surveys and business process modeling, the research substantiates the organizational and economic mechanisms for implementing this approach. The findings suggest that blockchain and big data technologies can significantly increase consumer trust, reduce transaction costs, minimize fraud risks, promote responsible practices, and contribute to sustainable development goals in the agrifood sector.

The article is devoted to the study of the role of innovative approaches to big data analysis in ensuring the sustainable development of the agricultural sector. It examines the potential of intelligent data processing methods to enhance the efficiency of management decisions and optimize production processes in agriculture. Through statistical analysis and modeling, the study identifies key factors determining the effectiveness of Big Data technologies in the agro-industrial sector. The conclusion highlights the need for the integrated use of predictive analytics, machine learning, and cloud computing to build highly productive agroecosystems resilient to market and climate risks. The importance of further developing the methodological and instrumental foundations of big data analytics is emphasized to ensure the competitiveness and environmental sustainability of the domestic agro-industrial complex.