Sugar Beet Production Research Articles

Combined application of Life Cycle Assessment and Neural Network Model for Modeling Energy and Environmental Emissions in Sugar Beet Production

Current agricultural energy management methods do not sufficiently account for the environmental impacts related to farm size. This gap limits the ability to accurately predict the ecological effects of sugar beet cultivation, particularly regarding climate change, eutrophication, acidification, human toxicity, and terrestrial and aquatic ecotoxicity. Moreover, optimizing agricultural productivity and integrating artificial intelligence (AI) are necessary to improve energy management and anticipate future consumption patterns, considering current constraints. Our innovative solution combines LCA with AI to better forecast the ecological impacts of sugar beet cultivation across farms of different sizes. By using historical data and advanced neural models, this method anticipates future energy consumption while integrating environmental and energy constraints. The study highlights that medium-sized farms (MF) show the lowest environmental impacts, according to the CML and USEtox methodologies, unlike small (SF) and large farms (LF), which do not significantly differ in their contribution to pollutants. The average energy consumption for beet production was 1,092,000 MJ/ha on small farms, 1,126,100 MJ/ha on medium farms, and 1,107,080 MJ/ha on large farms. The key critical points identified were related to the use of diesel, machinery, seeds, and pesticides. In terms of energy distribution, chemical fertilizers accounted for 41% of the total energy used, followed by fuel (24%), pesticides (18%), and machinery (7%). Neural models revealed correlation coefficients (R2) ranging from 0.634 to 0.945 for testing, 0.861 to 0.967 for validation, and 0.944 to 0.982 for training. These results suggest good predictive accuracy for our AI-based approach. Finally, to improve energy efficiency, the study proposes modernizing agricultural equipment and developing more sustainable technologies, such as hybrid tractors, robotic and automated weeding systems, and cultivation techniques that reduce carbon emissions.

Design and experiment of a deviation information detection mechanism for sugar beet harvesters based on agricultural machinery and agronomy integration

To address large geometric shape differences, poor ridge distribution straightness and the uncertain spatial distribution of beet roots during the harvesting period, as well as damage caused by the inaccurate row correction detection mechanisms of combine harvesters, this study conducts a design analysis and performance tests of deviation information detection mechanisms based on the integration of agricultural machinery and agronomy. The agronomic process of mechanized sugar beet production was analyzed, the geometric dimensions of root tubers under typical planting patterns of typical varieties in main sugar beet production areas were measured, and a three-dimensional geometric model of beet root tubers was established. A device for measuring ridge shape and root tuber distribution was designed, and agronomic parameters during the harvesting period, such as plant spacing, ridge height, unearthed height, and deviation distance of beet root tubers, were measured and analyzed. A spatial model of ridge shape and beet root tuber growth distribution on the ridge during harvesting was established. The overall structure of the deviation information detection mechanism was analyzed and designed, and the structural forms and key parameters of key mechanisms, such as left‒right swing detection and up‒down floating profiling, were designed on the basis of agronomic parameter analysis. Using the missed detection rate as the evaluation index, field performance tests of the deviation information detection mechanism were conducted. The results revealed that when the average forward speed of the harvester was 0.84 m/s, the average missed detection rate of the deviation information detection mechanism was 0.56%. This method has high adaptability and detection accuracy and achieves a high level of integration for agricultural machinery (detection spatial region of the detection mechanism) and agronomy (beet root distribution spatial region). This study provides a technical basis and methodological reference for improving the quality and efficiency of automatic row correction combined with harvesting operations for crops such as sugar beets.

Sulfur dioxide in white sugar: Source of income, reference values

Sulfur dioxide is one of the classic essential technological processing aids used in modern technology for the production of white beet sugar. The technological and safe use of sulfites (sulfur dioxide, sodium sulfite and sodium hydrosulfite) in the formation of the food system of the sugar production process flow has been substantiated, and their functional effect is shown. It has been established that the change in the content of sulfur dioxide in white sugar under the influence of an antifoam, antiscale agent and decolorant in the doses used in massecuite occurred in accordance with the principle of additivity. The presence of the additive property was confirmed by the maximum approximation of the algebraic sum of the effects of each agent, amounting to 5.6%, to the range of variation in the values of the sulfur dioxide content (5.9) at a significance level of p=0.05. The dependence of the sulfur dioxide content in white sugar in a range of 0 to 6.5 mg/kg on the influence of the decolorant and defoamer in a dose range of 100 to 200 and of 4 to 6 g/t of massecuite was established. It has been revealed that increasing the minimum optimal dose of the decolorant to the maximum leads to an increase in the content of sulfur dioxide in white sugar by 1.7 times. Confidence intervals for the general mean were calculated based on the assumption of normal data distribution and a significance level of p=0.05. The reference values for the sulfur dioxide content in white sugar of the four categories were 1.28–2.69 mg/kg, and the upper limit level with consideration for the confidence interval was 1.39–3.01 mg/kg. The established reference values can be used at sugar factories in the production control system, and also provide an evidence base for comparison and assessment of this indicator of the white sugar safety for industrial consumers.

First report of Botryosphaeria dothidea causing root rot of sugar beet in Serbia.

Botryosphaeria dothidea (Moug.:Fr.) Ces. & De Not. is predominantly recognized as a pathogen of various woody plants, inducing symptoms of stem canker, dieback, and fruit rot worldwide. However, sporadic reports suggest its impact on field crops, including B. dothidea associated with stem canker in soybean and tobacco (Bian et al. 2015; Chen et al. 2021), as well as B. quercuum on sugar beet (Alfieri et al. 1984). In September 2023, during a survey of root rot pathogens of sugar beet (Beta vulgaris L.) in Rimski Šančevi, Serbia (N 45°19´57″; E 19°49'58″), 3% of collected samples exhibited root rot symptoms. Externally, the lesions exhibited a dark brown coloration. On cross-section, the tissue displayed a gradient of discoloration ranging from light to dark brown throughout the roots. The roots were completely rotted. From these samples, two fungal isolates (SR28/II and SR4/III) were obtained from rotted internal root fragments, after washing, surface disinfection (70% ethanol), and plating on potato dextrose agar (PDA). Colonies on PDA were fluffy with abundant aerial mycelium, surface light to dark grey-brown, reverse black in the centre and grey-brown towards the irregular margin, after 7 days at 25°C in the dark. To induce sporulation, isolates were cultivated on 2% water agar with pine needles and incubated under continuous near ultraviolet (NUV) light at room temperature for 30 days. Conidia were hyaline, aseptate, fusiform, subtruncate at the base, subobtuse at the apex, and measured (19.56-) 24.12 - 26.31 (-28.99) x (5.13-) 5.94 - 6.54 (-7.44) µm (mean 25.06 x 6.26 µm, n=100), consistent with description of B. dothidea (Phillips et al. 2013). For molecular identification, DNA was extracted from mycelium of 7-day-old cultures, and internal transcribed spacer region (ITS), partial translation elongation factor 1-alpha gene (TEF) and partial β-tubulin gene (TUB) were amplified using the primer pairs ITS1/ITS4 (White et al. 1990), EF1-728F/EF1-986R (Carbone and Kohn 1999), and Bt2a/Bt2b (Glass and Donaldson 1995), respectively. Multiple sequence alignment and BLAST analyses showed that our isolates had 100% sequence similarity with reference isolates of B. dothidea, including ex-type isolate CBS 115476 (= CMW 8000) in ITS (AY236949), TEF (AY236898), and TUB (AY236927). Maximum likelihood phylogeny of concatenated sequences confirmed the identity of the isolates as B. dothidea. Sequences of ITS, TEF and TUB of isolate SR4/III were submitted to GenBank under accession numbers PP908658, PP911334, PP911333, respectively. The pathogenicity of obtained isolates was assessed on 3-month-old sugar beet plants grown in sterile substrate in the greenhouse. For inoculation, the upper parts of the roots were wounded (10x3 mm) 1 cm above the substrate, using a sterilized nail, and 2x2 mm mycelial plugs of 7-day-old culture grown on PDA were inserted and sealed with parafilm. Control plants were inoculated with sterile PDA plugs. Six plants were used per isolate and for control. After 3 weeks of incubation, the inoculated plants were removed from the substrate and brown rot symptoms were observed upon cross-sectional examination, whereas control roots remained asymptomatic. The pathogen was successfully reisolated and morphologically identified as B. dothidea, fulfilling Koch's postulates. The production of sugar beet, an important industrial crop in Serbia valued for its sugar content, is imperiled by various pathogens. To our knowledge, this is the first report of B. dothidea causing root rot of sugar beet in Serbia and the world. Given its widespread distribution on other hosts and potential aggressiveness, the presence of B. dothidea in sugar beet should not be neglected.

One-step TaqMan® RT-qPCR detection of sugar beet-infecting poleroviruses in Myzus persicae from yellow water pan traps opens up new possibilities for early risk assessment of virus yellows disease

Virus yellows disease (VY) is a major threat to sugar beet production in Europe. Beet chlorosis virus (BChV) and beet mild yellowing virus (BMYV) are of particular economic importance and are both persistently transmitted by the aphid vector Myzus persicae. As part of integrated pest management strategies, M. persicae influx into sugar beet fields is recorded weekly using yellow water pan traps. To date, only ELISA and RT-PCR assays have been described for BChV and BMYV detection in individual aphids. In this study, we describe for the first time two one-step TaqMan® RT-qPCR assays designed for the specific detection of BChV and BMYV in M. persicae after 7d incubation in water pan trap medium. Both viruses were reproducibly detected in individual aphids. After 7d incubation in trap medium, both viruses were reproducibly detected in individual aphids, as well as in one viruliferous aphid in a pool of 99 non-viruliferous aphids. Significant correlations can be shown between different mixing ratios of viruliferous to non-viruliferous aphids and Ct values of total RNA templates, allowing the percentage of viruliferous aphids in yellow water pan traps to be estimated using a standard curve. The described methodology provides a high sensitivity combined with a high sample throughput and can be used, after evaluation in the field, for practical monitoring, risk modelling and development of decision support systems for VY.

Effect of zearalenone in sugar beet products on zootechnical and reproductive performance and lesions of sows and piglets.

Following the use of sugar beet pulp that was retrospectively found to be predominantly contaminated with zearalenone (ZEN) in diets of reproducing sows largely exceeding the EU-guidance value for critical ZEN concentration of 0.25mg/kg, farmers did not report any changes in the reproductive performance of sows. Thus, the aim of the study was to verify this guidance value in a dose-response setup by using sugar beet pulp as a ZEN source hitherto not considered a risky feedstuff additionally characterized by comparatively low levels of deoxynivalenol. A total of 90 sows was equally allocated to one of the three feed groups during experimental lactation 1 and up to 40days after insemination: CON with a minimal ZEN concentration, ZEN1 with a target concentration of 250µg ZEN/kg feed, and ZEN2 with a target concentration of 500µg ZEN/kg feed. Thereafter, all sows received the same feed without ZEN for the rest of gestation, and the following lactation for testing of putative carry-over effects resulting from previous ZEN exposure. Exposure of sows to ZEN with blood serum as an indicator was linearly related to dietary ZEN concentrations. Reproductive and zootechnical performances of sows were only affected by ZEN exposure at weaning weight. Clinical-chemical parameters indicated no clear effect of ZEN exposure. An influence of ZEN on the occurrence of tail and ear injuries (not necrosis) in piglets and lesions on the mammary complexes in sows is possible. The influence of a ZEN concentration above the EU guidance value on the study farm can therefore not be neglected.

Evaluation of Rz2 Gene Expression in Sugar Beet Hybrids Infected with Beet Necrotic Yellow Vein Virus.

Sugar beet hybrids are essential in modern agriculture due to their superior yields, disease resistance, and adaptability. This study investigates the role of the Rz2 gene in conferring resistance to beet necrotic yellow vein virus (BNYVV) in 14 sugar beet hybrids cultivated in Kazakhstan, including local and European varieties. The Rz2 gene, encoding a CC-NB-LRR protein, is a known resistance factor against BNYVV. Using RT-qPCR, we assessed Rz2 expression and detected BNYVV in bait plants inoculated with virus-infested soil. Our findings identified two highly resistant varieties: the Kazakh cultivar 'Abulhair' and the French line 22b5006. Additionally, the Kazakh cultivar 'Pamyati Abugalieva' and the French hybrid 'Bunker' exhibited increased resistance, suggesting involvement of other resistance loci. Notably, the Danish hybrid 'Alando', despite resistance to rhizomania, did not effectively resist BNYVV, highlighting possible evasion of its genetic factors by local virus strains. Our results emphasize the importance of Rz2 in resistance breeding programs and advocate for further research on additional resistance genes and the genetic variability of BNYVV in Kazakhstan. This work pioneers the molecular evaluation of BNYVV resistance in sugar beet in Kazakhstan, contributing to sustainable disease management and improved sugar beet production.

Direct Contact Membrane Distillation of Artificial Urine for Sugar Beet Production in a Hydroponic System

Direct Contact Membrane Distillation of Artificial Urine for Sugar Beet Production in a Hydroponic System

Life cycle assessment of biochar and cattle manure application in sugar beet cultivation – Insights into root yields, white sugar quality, environmental aspects in field and factory phases

Sugar beet (Beta vulgaris L.) is a well-known sugar crop essential for supplying the global demand for sugar. Examining how different farming techniques affect the environment may help produce a high-quality crop with the least negative environmental effects. To this, the life cycle assessment (LCA) of biochar (B) and cattle manure (CM) applications at three different rates (5, 10, and 15 tons ha−1) compared with conventional chemical fertilization (CH) in the autumn and spring sugar beet crops has been studied. The system boundaries for LCA analysis were set from the cradle to the sugar factory gate. Based on the results, the highest amounts of root yield were obtained under CM10 and CM15 treatments with 24.5% and 23.2% increase in autumn cultivation and 34.8%, and 33.9% increase in spring cultivation, compared to CH. However, CM15 resulted in significantly lower sugar content (10.9%) than B5 (17%). Also, B utilization significantly reduced molasses content in sugar beet rather than CM in both cultivation periods. Further, biochar treatments (B5, B10, B15) significantly increased the white sugar yield in both cultivation times by 43.7%, 39.2%, and 36.1%, on average. Generally, the highest and the lowest global warming potential (GWP) were obtained from CM15 and B15 with 638.5 and 437.2 CO2-eq ton−1 root/sugar yields, respectively. These findings validate the hypothesis that using biochar in sugar beet production could reduce greenhouse gas emissions while increasing the amount of white sugar produced.

Evaluating the Sustainability of Sugar Beet Production Using Life Cycle Assessment Approach

Evaluating the Sustainability of Sugar Beet Production Using Life Cycle Assessment Approach

Insights into the molecular basis of beet curly top resistance in sugar beet through a transcriptomic approach at the early stage of symptom development

Curly top disease caused by Beet curly top virus (BCTV) is a limiting factor for sugar beet production. The most economical and sustainable control of BCTV in sugar beet would be via the growth of resistant cultivars, although most commercial cultivars possess only low-to-moderate quantitative resistance. A double haploid line (KDH13) showed a high level of resistance to BCTV infection. However, the mechanism of resistance and response of this line to BCTV infection is unknown. Here, we tested the response of this line to both local and systemic BCTV infections. The virus replicated at a high level in locally infected tissue but lower than in susceptible KDH19 plants. Resistant KDH13 plants systemically infected with BCTV showed only mild enation without leaf curling after 30 days. In contrast, severe leaf curling appeared after 12 days in susceptible plants with higher virus accumulation. Transcriptome analysis of the BCTV-infected KDH13 plants at the early stage of symptom development showed only 132 genes that were exclusively deregulated compared to the regulation of a large number of genes (1018 genes) in KDH19 plants. Pathway enrichment analysis showed that differentially expressed genes were predominantly involved in hormone metabolism, DNA methylation, immune response, cell cycle, biotic stress and oxidative stress. The auxin level in both resistant and susceptible plants increased in response to BCTV infection. Remarkably, exogenous application of auxin caused leaf curling phenotype in the absence of the virus. This study demonstrates the response of resistant and susceptible plants to BCTV infection at both local and systemic infections and highlights the defence-related genes and metabolic pathways including auxin for their contribution towards BCTV symptom development and resistance in sugar beet.

Control of rhizomania in sugar beet—A success story made possible by resistance breeding

AbstractThe economic success of sugar beet production depends largely on the control of various pathogens and pests. Beet necrotic yellow vein virus (BNYVV) has historically been a major threat to sugar beet growers because of the high yield losses and the fact that the virus is transmitted by a soilborne protist vector that cannot be controlled. Resistance breeding began after the disease was first described in 1959 and led to the identification of two monogenic resistance genes. Rz1 was the first resistance gene to be introduced into all varieties, enabling sugar beet production under high disease pressure. However, the widespread use of a single resistance gene resulted in high selection pressure on the virus population. As a result, resistance‐breaking of Rz1 was first reported in the early 2000s in the United States and later in many other countries. The mechanism of resistance‐breaking is based on mutations in the viral pathogenicity factor P25 and the presence of an additional RNA5 species. The second resistance gene being used in breeding is Rz2, which is based on a different resistance mechanism and is highly effective at sites where Rz1 has been overcome by the virus. In addition, Rz2 was the first rhizomania resistance gene to be cloned, and the triple gene block I of BNYVV was identified as the corresponding avirulence gene. This article highlights that resistance breeding has been key to the control of rhizomania, but history also shows that re‐emergence of the disease due to resistance‐breaking remains a permanent threat.

Molecular epidemiology of Cercospora leaf spot on resistant and susceptible sugar beet hybrids

AbstractCercospora leaf spot (CLS), caused by Cercospora beticola, is a major foliar disease impacting sugar beet production worldwide. The development of new resistant sugar beet hybrids is a powerful tool to better manage the disease, but it is unclear how these hybrids affect CLS epidemiology. We used a molecular epidemiology approach to study natural epidemics of CLS affecting two susceptible and two resistant sugar beet hybrids at two field sites. Infected plants were geotagged on a weekly basis. Isolations of C. beticola were made from infected leaves and genotyped using six simple‐sequence repeat loci to identify clones. We determined that CLS epidemics had a later onset in plots planted to resistant hybrids, but once the pathogen established an infection, there was little difference between resistant and susceptible hybrids in the probability of localized spread and dispersal. We found that different clones often infected the same leaf and that clusters of infected plants were often colonized by a mixture of clones. There was little overall difference in genetic diversity of C. beticola collected on resistant and susceptible hybrids; however, genotypic diversity was lower on the resistant hybrid at one site, suggestive of a selection bottleneck. At the end of the epidemic infections were not randomly distributed across the fields and we found that a single clone could spread over a distance of 100 m during a growing season.

Использование кремнийсодержащих удобрений как биостимуляторов при возделывании сахарной свеклы

Abstract. The current article is aimed at assessing the resistance of sugar beet plants of various hybrids to the phytotoxic effects of herbicides used both in pure form and in combination with silicon-containing ones. Methods. The research was carried out under the conditions of a field experiment, based on 4 repetitions in 2022–2023. Photosynthetic pigments in leaves were determined by optical density in an extract with 96 % ethanol. The influence of herbicides and biostimulants on the formation of plant mass, as well as the chlorophyll content in the leaves and the sugar beets yield of various hybrids were analyzed. Results. It was identified that the combined use of silicon-containing fertilizers “Mikrovit-6 Kremniy”, “Kelik Kaliy+Kremniy” in combination with herbicides contributed to an increase in the weight of one sugar beet plant after three herbicide treatments by 13–17 % depending on the hybrid compared to the option where only herbicides were treated, and the phytotoxicity of pesticides did not exceed 2.0–2.5 %. The sugar beet productivity depended on the toxicological load on the crop plants. In combination with the herbicides Mikrovit-6 Silicon and Kelik Potassium+Silicon, the total content of green pigment was 49–74 % higher than in plants stressed by herbicides, and chlorophyll a increased by 3.1–4.5 times. The domestic selection hybrids F1 Volna and F1 Skala were the most resistant to inhibition of photosynthesis processes. The scientific novelty of the current research lies in the fact that for the first time in the conditions of the Middle Volga region on leached chernozem, the most efficient silicon-containing fertilizers for reducing herbicidal stress of sugar beet plants have been identified. The identified results also contribute to the improvement of the photosynthesis process by increasing the concentration of chlorophyll, a greater average daily increase in biomass and an increase in the yield of sugar beet plants, as well as hybrids of domestic selection that are more stress-resistant to the negative effects of herbicides.

Economic study on the production of sugar beet in Egypt

Economic study on the production of sugar beet in Egypt

Microorganisms in beet sugar production – perspective on technological opportunities and risks

The sugar industry has long faced challenges from microorganisms during production. Preventing sugar losses and microbial-related issues such as the formation of organic acids, gases like CO2 or H2, or slimy substances continues to be key concerns. Fortunately, process parameters such as high temperatures, low pH values and limited oxygen availability create unfriendly conditions for microorganisms, and antimicrobial agents have been developed to control microbial growth. However, a proactive approach would utilize the advantageous properties of microorganisms to break down undesirable substances and promote desirable ones. For example, acidic by-products from bacterial metabolism lower the pH and thus stabilize sugar beet cossettes during pressing. Additionally, beneficial metabolic processes have been recognized, such as preferentially utilizing monosaccharides instead of sucrose or selectively degrading undesired substances (e.g., converting nitrite into elemental nitrogen). Modern sequencing techniques continue to identify unknown bacteria with the potential to improve the process. Exploring these bacteria could offer valuable insights for a better microorganism management in beet sugar production. This perspective article discusses the microbial diversity in beet sugar factories and strategies for better utilization of microbial benefits, aiming for sustainable improvements in sucrose extraction. However, extensive research is necessary to identify and characterize suitable bacterial species and how best to exploit them.

Economical Sugar Beet Production: Biotechnological Advances to Improve Yield in Conditions of Abiotic and Biotic Stress

Economical Sugar Beet Production: Biotechnological Advances to Improve Yield in Conditions of Abiotic and Biotic Stress

Enhancing Soil Resilience and Sugar Beet (Beta vulgaris L.) Yield: Mid‐Term Effects of Compost and Glauconite Integration

ABSTRACTSugar beet (Beta vulgaris L.) is a globally significant crop, valued for its economic importance in sugar production. Saline‐sodic soil environments negatively impact sugar beet productivity. This study investigates the effects of using compost, glauconite enriched‐K and their combinations in mitigating the saline‐sodic soil environment, sugar beet productivity and extracted sugar quality. A two‐season field experiment in split‐plot design with the main plots is three doses of compost: control (C0), recommended (100%) dose (C1) and 150% recommended dose (C2). Each group divided into four subplots of glauconite treatments arranged according to the recommended dose of potassium (K) as follows: G0 (no glauconite), G1 (50% K), G2 (100% K, 480 Kg glauconite Fed−1) and G3 (150% K). The results showed that compost and glauconite mitigated adverse soil effects caused by salinity and sodicity. The C2G3 treatment reduced electrical conductivity (EC) and exchangeable sodium percentage (ESP), improved organic matter and enhanced soil bulk density, porosity and penetration resistance. This combination also increased soil nutrients (N, K, Fe, Mn, Zn and Cu). Regarding the sugar beet yield, C2G3 improved root yield, top yield, sugar yield and extracted sugar. The application of glauconite increased root diameter by 20% and root length by 23%, enhanced sugar quality with minimal sugar losses to molasses (2.43%), and reduced impurities of K, α‐amino N and Na. Principal component analysis showed positive correlations between root yield and soil potassium, organic matter, cation exchange capacity and soil porosity, with negative correlations to bulk density, EC, pH and ESP. Two‐way analysis of main (ANOM) illustrated significant effects of compost and glauconite on soil–plant interactions. Multivariate analysis indicated that higher glauconite doses significantly enhanced root yield. The Gag run charts confirmed that compost (100%) and G3 levels explored more homogeneity reducing the ESP%, increasing sugar beet root yield, sugar yield and quality.

Beet sugar enterprises in Kazakhstan: balanced management, reserves

The goal is to analyze production indicators of sugar beets and sugar for 1990-2023, to recommend measures to increase volume of sugar industry products. Methods - statistical, on the basis of which primary data on production of beet raw materials and sugar, its consumption per capita, export and import, and foreign trade turnover are collected. Results - the authors note that development of beet-sugar subcomplex is accompanied by stable decrease in quantity of this product, resulting in reduction in acreage and decrease in yield. The deterioration of parameters is due to high cost and low profitability of crop produced, outdated technical base, the use of lowquality seeds, problems with irrigation, and insufficient capacity of sugar factories. The current situation has a direct impact on the demand for sugar, which is met through imports and raw sugar obtained from processing. State measures aimed to increase sugar from domestic raw materials, set out in the Comprehensive Plan for the Development of Sugar Industry in the Republic of Kazakhstan for 2022-2026, were considered, in the framework of which it is provided to ensure the enterprises with unused agricultural land suitable for cultivating sugar beets within a radius of 150 kilometers to ensure their own raw materials taking into account the requests of the processors. Conclusions - the implementation of the set tasks will reduce sugar import dependence and saturate the domestic market with own products. At the same time, logistics issues, reducing cost of transporting finished products, and financing construction of railways need to be worked out.

How Production System Would Affect the Environmental Impacts of Sugar Beet Production?

How Production System Would Affect the Environmental Impacts of Sugar Beet Production?