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Crop residues colonized saprophytically by necrotrophic plant pathogens are an important primary inoculum source for epidemics of foliar diseases. Residues of crops, weeds, and litter were systematically sampled in a complex crop rotation experiment. Concentrations of DNA of major pathogens of the grown crops, Alternaria solani in potato and Cercospora beticola, Ramularia beticola , and Stemphylium beticola in sugar beet, were quantified in the residues using newly developed qPCR assays. Repeated field trials gave additional insights into the dynamics of A. solani in potato foliage residues for 2 years. The overall results demonstrate that the A. solani and C. beticola colonized crop residues of their host crops initially after harvest at high densities whereas R. beticola and S. beticola were almost absent in the field. Within several months, amounts of available host residues decreased substantially and concentrations of pathogens in the remaining host residues decreased steeply. Alternative substrates, residues of non-host crops including cover crops and weeds, were colonized saprophytically by the necrotrophic pathogens A. solani and C. beticola. It can be concluded that residues of non-hosts can potentially serve as an important bridge for pathogen populations during host-free cropping seasons in crop rotation systems. These findings contribute to the development of rational crop residue management strategies aiming at disease prevention by lowering the inoculum potential in crop rotation systems. [ABSTRACT FROM AUTHOR]

Rhizomania is the most destructive sugar beet disease in the world, and in recent years, it has widespread in most of the sugar beet growing areas in Iran. Since the control of this soil-borne disease is a difficult task, the use of resistant genotypes is known as the best measure against the disease. The ultimate goal of sugar beet breeders is to produce genotypes that can be used in both infected and non-infected fields without any reduction in terms of yield and quality. Twenty-one sugar beet genotypes along with four controls were evaluated in randomized complete block design with four replications in fields with natural infection to rhizomania in five research stations. Important sugar beet traits including root yield, sugar yield, sugar content, and white sugar yield were evaluated for two years (2021 and 2022). For all traits, location was the main source of variation that spanned 33 to 55% of the total sum of the square followed by the location×year×genotype accounted for 3–40% of the variation. Based on the results of analysis of variance, multivariate stability parameters were computed to evaluate the genotypes' stability. The first two principal components (IPCA1 and IPCA2) generated by GGE biplot contributed for 31.3 and 17.5% difference in genotype×environment interaction for root yield, respectively. According to the GGE biplot, genotypes RM-11 and RM-12 were identified as the winning genotypes across environments for both root yield and white sugar yield traits whereas AMMI model identified RM-14 and RM-9 (for root yield) and RM-1 (for white sugar yield) as best genotypes. Based on the ideal genotype ranking, RM-11 and RM-10 were the best performer with a high mean yield as well as stability in the studied environments. The biplot rendered using the weighted average of absolute scores (WAASB) and root yield and white sugar yield identified RM-11 and RM-9 as superior genotypes in terms of yield and stability. The selected genotypes can be used in breeding programs to transfer the disease resistance and cultivar development. [ABSTRACT FROM AUTHOR]

The continuous global escalation of soil salinization areas presents severe challenges to the stability and growth of agricultural development across the world. In-depth research on sugar beet (Beta vulgaris L.), an important economic and sugar crop with salt tolerance characteristics, is crucial for to determine its salt-tolerance mechanisms, which has important practical implications for production. This review summarizes the multifaceted effects of salt stress on sugar beet, ranging from individual plant responses to cellular and molecular adaptations. Sugar beet exhibits robust salt-tolerance mechanisms, including osmotic regulation, ion balance management, and the compartmentalization of toxic ions. Omics technologies, including genomics, transcriptomics, proteomics, post-translational modification omics and metabolomics, have played crucial roles in elucidating these mechanisms. Key genes and pathways involved in salt tolerance in sugar beet have been identified, paving the way for targeted breeding strategies and biotechnological advancements. Understanding these mechanisms not only enhances our knowledge of sugar beet's adaptation strategies but also provides insights for improving salt tolerance in other crops. Future studies should focus on analyzing gene expression changes in sugar beet under salt stress to gain insight into the molecular aspects of its salt-tolerance mechanisms. Meanwhile, the effects of different environmental conditions on sugar beet adaptation strategies should also be investigated to improve their growth potential in salinized soils. [ABSTRACT FROM AUTHOR]

Simple Summary: Many studies have shown that pesticide use has negative environmental effects. Therefore, alternative measures to manage insect pests and protect plant health are needed. Potential tools include chemicals that cause behavioral changes in pests and are already a part of the integrated pest management toolbox. Aphids are a significant pest in sugar beet (Beta vulgaris). They cause visual damage and act as vectors for various phytopathogens that reduce the yield. When attacked by predators, aphids emit an alarm pheromone, which causes other aphids to stop feeding, move away, and sometimes even abandon the host plant. We tested whether the artificially release of this pheromone could be an environmentally friendly alternative to prevent aphid infestation in sugar beet. Application of the pheromone resulted in reduced aphid densities in experimental sugar beet patches at two out of three experimental sites. This indicates the potential of this pheromone as an aphid repellent in sugar beet production. However, more research is required to ensure the reliability of this method. The negative impact of pesticides on the environment and the potential of pest species to develop pesticide resistance make it necessary to explore new methods of pest control. Pheromones and other behavior-modifying semiochemicals are already important in integrated pest management (IPM). (E)-ß-farnesene (EBF) is a semiochemical that acts as an alarm pheromone in aphids. Upon perception of EBF, aphids stop feeding, move away, and sometimes even abandon the host plant. The aphids Myzus persicae and Aphis fabae are significant crop pests and vectors of many harmful phytopathogens affecting sugar beet (Beta vulgaris). Field trials were conducted at different locations in Germany to test whether dispensers containing a mixture of farnesene isomers (FIMs) including EBF were able to reduce the infestation of these species on sugar beet. Our results showed a reduction in aphid abundance in the FIM-treated patches in two out of three sites. Therefore, we hypothesize that FIM dispensers could prevent aphid infestation and could be used in combination with other IPM measures. However, more research is required to increase the effect and ensure the reliability of this method. [ABSTRACT FROM AUTHOR]

Sugar beets account for 30% of global sugar production each year, and their byproducts are an important source of bioethanol and animal feed. Sugar beet is an important cash crop in Inner Mongolia, China. To achieve high yields and sugar content, it is essential to supply nitrogen fertilizer in accordance with the growth characteristics of sugar beet, thereby enhancing the efficiency of nitrogen fertilizer utilization. A two-year experiment was carried out in the experimental field of the Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences. The impact of varying ratios of nitrogen-based fertilizer to topdressing on nitrate nitrogen and ammonium nitrogen levels in the 20–60 cm soil layer, as well as the activities of protease, urease, catalase, and sucrose in the 20–40 cm soil layer were investigated during the rapid leaf growth period and root and sugar growth period. Results indicated that different ratios of nitrogen-based fertilizer to topdressing significantly influenced the levels of nitrate nitrogen and ammonium nitrogen, and the activities of protease and urease in the 0–20 cm soil layer, with these effects diminishing as soil depth increased. The activities of catalase and sucrose were minimally impacted. Nitrogen was applied at 150 kg/ha during the growth period of sugar beet, according to the growth characteristics of sugar beet to maximize nitrogen utilization efficiency. Topdressing was completed with irrigation at the rapid growth stage. The nitrogen-based fertilizer to topdressing ratio of 6:4 resulted in optimal crop yield and sugar yield of sugar beet under shallow drip irrigation. Additionally, the activities of protease and urease in different soil treatments were significantly different, and the activities of protease and urease in the 0–40 cm soil layer were identified as useful soil physiological indicators for nitrogen utilization in sugar beet. [ABSTRACT FROM AUTHOR]

Appropriate nutrient sources and optimized doses of plant nutrients for space and lunar farming have remained key challenges prompting investigations to sort out biologically viable options including human urine. Therefore, a trial was performed to compare the hydroponic growth of sugar beets using a standard nutrient solution and the same nutrient solution with a 10% replacement of an artificial urine solution that had been concentrated using direct contact membrane distillation (DCMD). The response variables included yield-contributing traits and root parameters (plant height, stem diameter, length and fresh weight of leaf and root, whole plant fresh weight), along with beet characteristics (diameter, length, and fresh weight at harvest). The results revealed that 10% synthetic urine treatment produced significantly taller plants (33%, 3%, and 8% at the 4th, 6th, and 10th week after sowing, respectively) and recorded 52% and 40% greater leaf width at the 4th and 6th weeks, respectively, compared to the control. In contrast, 10% replacement with synthetic urine in the nutrient performed statistically below par compared to the control treatment by producing 9% and 17% lower leaf width at the 8th and 10th weeks, respectively. Additionally, at the harvest, 10% synthetic urine treatment gave taller plants with greater stem length and root length (2.3%, 8.6%, and 59%, respectively) than the control. Moreover, the replacement treatment remained superior by showing higher root weight and stem diameter at harvest but performed below par compared to the control in leaf width and whole plant fresh weight. At harvest, both treatments remained statistically non-significant in terms of beet length, however the control surpassed synthetic urine treatment by yielding 37% and 103% higher width and fresh weight of beets, respectively. Based on recorded findings, it may be inferred that synthetic urine holds potential as a valuable plant nutrient source for producing sugar beets in an indoor hydroponic system, though not comparable in some respects with the control (standardized plant nutrient medium) for some plant measurements. [ABSTRACT FROM AUTHOR]

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Abstract Storage rots are a significant cause of postharvest losses for the sugar beet crop, however, intrinsic physiological and genetic factors that determine the susceptibility of roots to pathogen infection and disease development are unknown. Research, therefore, was carried out to evaluate the disease development in sugar beet roots caused by two common storage pathogens as a function of storage duration and storage temperature, and to identify changes in the expression of defense genes that may be influencing the root susceptibility to disease. To evaluate root susceptibility to disease, freshly harvested roots were inoculated with Botrytis cinerea or Penicillium vulpinum on the day of harvest or after 12, 40, or 120 d storage at 5 or 12 °C and the weight of rotted tissue present in the roots after incubation for 35 d after inoculation were determined. Disease susceptibility and progression to B. cinerea and P. vulpinum increased with storage duration with elevations in susceptibility occurring more rapidly to B. cinerea than P. vulpinum. Also, B. cinerea was more aggressive than P. vulpinum and caused greater rotting and tissue damage in postharvest sugar beet roots. Storage temperature had minimal effect on root susceptibility to these rot-causing pathogens. Changes in defense gene expression were determined by sequencing mRNA isolated from uninoculated roots that were similarly stored for 12, 40 or 120 d at 5 or 12 °C. As susceptibility to rot increased during storage, concurrent changes in defense-related gene expression were identified, including the differential expression of 425 pathogen receptor and 275 phytohormone signal transduction pathway-related genes. Furthermore, plant resistance and hormonal signaling genes that were significantly altered in expression coincident with the change in root susceptibility to storage rots were identified. Further investigation into the function of these genes may ultimately elucidate methods by which storage rot resistance in sugar beet roots may be improved in the future.

Abstract Rhizomania is the most destructive sugar beet disease in the world, and in recent years, it has widespread in most of the sugar beet growing areas in Iran. Since the control of this soil-borne disease is a difficult task, the use of resistant genotypes is known as the best measure against the disease. The ultimate goal of sugar beet breeders is to produce genotypes that can be used in both infected and non-infected fields without any reduction in terms of yield and quality. Twenty-one sugar beet genotypes along with four controls were evaluated in randomized complete block design with four replications in fields with natural infection to rhizomania in five research stations. Important sugar beet traits including root yield, sugar yield, sugar content, and white sugar yield were evaluated for two years (2021 and 2022). For all traits, location was the main source of variation that spanned 33 to 55% of the total sum of the square followed by the location×year×genotype accounted for 3–40% of the variation. Based on the results of analysis of variance, multivariate stability parameters were computed to evaluate the genotypes’ stability. The first two principal components (IPCA1 and IPCA2) generated by GGE biplot contributed for 31.3 and 17.5% difference in genotype×environment interaction for root yield, respectively. According to the GGE biplot, genotypes RM-11 and RM-12 were identified as the winning genotypes across environments for both root yield and white sugar yield traits whereas AMMI model identified RM-14 and RM-9 (for root yield) and RM-1 (for white sugar yield) as best genotypes. Based on the ideal genotype ranking, RM-11 and RM-10 were the best performer with a high mean yield as well as stability in the studied environments. The biplot rendered using the weighted average of absolute scores (WAASB) and root yield and white sugar yield identified RM-11 and RM-9 as superior genotypes in terms of yield and stability. The selected genotypes can be used in breeding programs to transfer the disease resistance and cultivar development.

Abstract Natural-based materials represent green choices for biomedical applications. In this study, resin pulp capping restoration enclosing strengthening silica and bioactive portlandite nanofillers were prepared from industrial wastes. Silica nanoparticles were isolated from rice husk by heat treatment, followed by dissolution/precipitation treatment. Portlandite nanoparticles were prepared by calcination of carbonated lime waste followed by ultrasonic treatment. Both were characterized using x-ray diffraction, energy dispersive x-ray, and transmission electron microscopy. For preparing pulp capping restoration, silica (after silanization) and/or portlandite nanoparticles were mixed with 40/60 weight ratio of bisphenol A-glycidyl methacrylate and triethylene glycol dimethacrylate. Groups A, B, and C enclosing 50 wt.% silica, 25 wt.% silica + 25 wt.% portlandite, and 50 wt.% portlandite, respectively, were prepared. All groups underwent microhardness, compressive strength, calcium release, pH, and apatite forming ability inspection in comparison to mineral trioxide aggregate (MTA) positive control. In comparison to MTA, all experimental groups showed significantly higher compressive strength, group B showed comparable microhardness, and group C showed significantly higher calcium release. Groups B and C showed prominent hydroxyapatite formation. Thus, the preparation of economic, silica-fortified, bioactive pulp capping material from under-utilized agricultural residues (rice husk) and zero-value industrial waste (carbonated lime from sugar industry) could be achieved.

This study aimed to investigate the effects of different fertilizer treatments on the growth, yield, and nutrient content of two sugar beet cultivars, Aksu (Kazakhstan) and Yampol (Poland), cultivated in the Almaty region of Kazakhstan. The experiment was conducted using a complete randomized block design with three replicates, comprising six treatments: control (without fertilizer), N120P120K90, and N130P130K130 for both cultivars. The soil's physical and chemical properties were analyzed, revealing a foothill light chestnut soil with favorable nutrient levels. Results indicated that the N130P130K130 treatment significantly increased soil available nitrogen, phosphorus, and potassium contents, leading to enhanced sugar beet growth, nutrient uptake, and yield. Both cultivars responded positively to the increased nutrient levels, with the N130P130K130 treatment showing the highest yield of 785.6 tons/ha for Aksu and 802.5 tons/ha for Yampol. Furthermore, nutrient content in tubers and leaves was significantly higher in the N130P130K130 treatment compared to other treatments. These findings underscore the importance of balanced nutrient management tailored to specific cultivars for optimizing sugar beet productivity and soil fertility in diverse agro-climatic conditions. Adopting balanced mineral nutrient management approaches could offer promising solutions to enhance sugar beet productivity and sustainability. Future research should focus on exploring long-term effects and integrated nutrient management strategies for sustainable sugar beet cultivation.

Rhizomania destroys sugar beet globally, but breeding disease-resistant genotypes is crucial in fighting it. In this study, 13 modern genotypes were examined based on the list provided by the Iraniai Seed Registration and Certification Institute. Genotypes grown in a randomized complete block design, with four replications in Iran's Karaj, Mashhad, Miandoab, Shiraz, and Hamedan stations. Results revealed that F-21375 and F-21092 genotypes achieved the highest white sugar yield in all five investigated stations. The results of additive mean effect multiplicative interaction (AMMI) analysis based on white sugar yield showed that the additive effects of genotype and environment and the multiplicative effect of G×E accounted for 13.11, 51.29, and 10.60% of the total data variance, respectively. The AMMI stability parameters identified the F-21376 genotype as a stable variety that produces a high white sugar yield in five locations. Also, the first two components of the interaction effect (G×E) explained 80.70% of the variance. The biplot analysis showed that F-21376 was the genotype that produced the greatest white sugar yield and stability in infected conditions. Based on the results of the multi-trait stability index (MTSI), F-21375, and F-21372 genotypes were selected as ideal genotypes. Finally, it can be concluded that two genotypes, F-21375 and F-21376, can be introduced as high-yielding and disease-resistant genotypes in the beet cultivation areas due to their white sugar yield and stability in experimental environments.

Inner Mongolia, a major region in China for growing sugar beet, faces challenges caused by unscientific water and fertilizer management. This mismanagement restricts the improvement of sugar beet yield and quality and exacerbates water waste and environmental pollution. This study aims to evaluate the effects of reduced water and fertilizer on the growth and physiological metabolism of sugar beet taproot. Field experiments were conducted in Ulanqab, Inner Mongolia, in 2022 and 2023, using a split-plot design with three levels each of fertilization and irrigation. The study analyzed the effects of reduced water and fertilizer treatments on fresh taproot weight, respiration rate, energy metabolism, respiratory enzyme activity, and gene expression in sugar beet taproot. It was found that a 10% reduction in fertilizer significantly increased the beet taproot fresh weight. Further research revealed that during the rapid leaf growth phase and the taproot and sugar growth period, a 10% reduction in fertilizer upregulated HK and IDH gene expression and downregulated G6PDH gene expression in the beet taproot. This increased HK and IDH activities, decreased G6PDH activity, enhanced the activity of the EMP-TCA pathway, and inhibited the PPP. Taproot weight was positively correlated with the respiration rate, ATP content, EC, and ATPase, HK, and IDH activities, thereby increasing the taproot growth rate and taproot fresh weight, with an average increase of 4.0% over two years. These findings introduce a novel method for optimizing fertilizer use, particularly beneficial in water-scarce regions. Implementing this strategy could help farmers in western Inner Mongolia and similar areas improve crop yield and sustainability. This study offers new insights into resource-efficient agricultural practices, highlighting the importance of customized fertilization strategies tailored to local environmental conditions. [ABSTRACT FROM AUTHOR]

Sugar beet (Beta vulgaris L.) is one of the most important sugar crops, accounting for nearly 30% of the world's annual sugar production. And it is mainly distributed in the northwestern, northern, and northeastern regions of China. However, Cercospora leaf spot (CLS) is the most serious and destructive foliar disease during the cultivation of sugar beet. In plants, the bZIP gene family is one of important family of transcription factors that regulate many biological processes, including cell and tissue differentiation, pathogen defense, light response, and abiotic stress signaling. Although the bZIP gene family has been mentioned in previous studies as playing a crucial role in plant defense against diseases, there has been no comprehensive study or functional analysis of the bZIP gene family in sugar beet with respect to biotic stresses. In this study, we performed a genomewide analysis of bZIP family genes (BvbZIPs) in sugar beet to investigate their phylogenetic relationships, gene structure and chromosomal localization. At the same time, we observed the stomatal and cell ultrastructure of sugar beet leaf surface during the period of infestation by Cercospora beticola Sacc (C. beticola). And identified the genes with significant differential expression in the bZIP gene family of sugar beet by qRT-PCR. Finally we determined the concentrations of SA and JA and verified the associated genes by qRT-PCR. The results showed that 48 genes were identified and gene expression analysis indicated that 6 BvbZIPs were significantly differential expressed in C. beticola infection. It is speculated that these BvbZIPs are candidate genes for regulating the response of sugar beet to CLS infection. Meanwhile, the observation stomata of sugar beet leaves infected with C. beticola revealed that there were also differences in the surface stomata of the leaves at different periods of infection. In addition, we further confirmed that the protein encoded by the SA signaling pathway-related gene BVRB_ 9g222570 in high-resistant varieties was PR1, which is closely related to systemic acquired resistance. One of the protein interaction modes of JA signal transduction pathway is the response of MYC2 transcription factor caused by JAZ protein degradation, and there is a molecular interaction between JA signal transduction pathway and auxin. Despite previous reports on abiotic stresses in sugar beet, this study provides very useful information for further research on the role of the sugar beet bZIP gene family in sugar beet through experiments. The above research findings can promote the development of sugar beet disease resistance breeding. [ABSTRACT FROM AUTHOR]

The study investigates the efficacy of an enzymatic preparation primarily with α-galactosidase activity for improving the quality of white sugar from poor-quality sugar beets. Focused on overcoming raffinose accumulation challenges in sugar beets, especially those harvested prematurely or stored for extended periods, an innovative exploration of enzymatic application in an industrial setting for the first time was conducted. By integrating theoretical calculations and experimental data, the findings reveal that α-galactosidase preparation notably diminishes raffinose content in beet juice, thus enhancing the sucrose yield and overall sugar quality. A reliable method to process lower-quality beets, promising enhanced efficiency in sugar production, was presented. The study also highlights the economic benefits of incorporating enzyme preparation into the production process, demonstrating a notable return on investment and underscoring the potential of enzymatic treatments to address industry challenges. [ABSTRACT FROM AUTHOR]

In recent years, the integration of advances in biotechnology, genomic research, and the application of molecular markers with classical plant breeding methods has formed the basis of a multidisciplinary field called plant molecular breeding or genome-based plant breeding. This approach is widely used in breeding programs for various crops including sugar beet. The complete sequencing of the B. vulgaris genome provided a valuable tool for sugar beet genomics research. Additionally, advances in genome sequencing, the development of markers based on single nucleotide polymorphisms, and robotic methods for high-throughput genotyping have reduced the cost of genotypic evaluations for sugar beet. In Iran, the most damaging diseases affecting sugar beet include rhizomania, beet cyst nematode, root-knot nematode, and Rhizoctonia. Breeding for resistance to these diseases has been a significant focus. Over the past decades, researchers at the Iranian Sugar Beet Seed Institute and the University of Padua, Italy, have identified RAPD, SCAR, STS, and SNP molecular markers linked to resistance genes for these diseases using sugar beet mapping populations and other genotypes. In recent years, these selected markers have been used for molecular screening of thousands of single plants from various genotypes to determine the presence of the aforementioned resistance genes in breeding populations and commercial hybrids. [ABSTRACT FROM AUTHOR]

Natural-based materials represent green choices for biomedical applications. In this study, resin pulp capping restoration enclosing strengthening silica and bioactive portlandite nanofillers were prepared from industrial wastes. Silica nanoparticles were isolated from rice husk by heat treatment, followed by dissolution/precipitation treatment. Portlandite nanoparticles were prepared by calcination of carbonated lime waste followed by ultrasonic treatment. Both were characterized using x-ray diffraction, energy dispersive x-ray, and transmission electron microscopy. For preparing pulp capping restoration, silica (after silanization) and/or portlandite nanoparticles were mixed with 40/60 weight ratio of bisphenol A-glycidyl methacrylate and triethylene glycol dimethacrylate. Groups A, B, and C enclosing 50 wt.% silica, 25 wt.% silica + 25 wt.% portlandite, and 50 wt.% portlandite, respectively, were prepared. All groups underwent microhardness, compressive strength, calcium release, pH, and apatite forming ability inspection in comparison to mineral trioxide aggregate (MTA) positive control. In comparison to MTA, all experimental groups showed significantly higher compressive strength, group B showed comparable microhardness, and group C showed significantly higher calcium release. Groups B and C showed prominent hydroxyapatite formation. Thus, the preparation of economic, silica-fortified, bioactive pulp capping material from under-utilized agricultural residues (rice husk) and zero-value industrial waste (carbonated lime from sugar industry) could be achieved. [ABSTRACT FROM AUTHOR]

This research aims to conduct an economic analysis of the impact of farm size and farming techniques on improving production efficiency and economic returns for sugar beet crops in El-Minya Governorate. The study analyzed the structure of production cost items to estimate the economic efficiency indicators for different agricultural work patterns and to identify the major problems faced by the farmers in the sample from ElMinya Governorate. The research findings indicated that the average value of seeds used for cultivating sugar beet in the field study sample in El-Minya Governorate was approximately 393 EGP per feddan, which accounted for about 8.09% of the total agricultural production input costs of approximately 4857 EGP per feddan, and about 3.79% of the total variable costs of approximately 10377 EGP per feddan. For small-scale farms using family labor, the cost was about 420 EGP per feddan, representing around 4.24% of the total variable costs and approximately 106.78% of the average sample. For medium-scale farms using family and hired labor, the cost was about 390 EGP per feddan, which is about 3.88% of the total variable costs and approximately 99.24% of the average sample. For large-scale farms using hired labor, the cost was around 370 EGP per feddan, representing about 3.31% of the total variable costs and approximately 94.15% of the average sample. The results also showed that the major problems faced by farmers were the high prices of agricultural inputs, affecting all farmers at a rate of 100%, indicating that costs generally impact all categories of farmers. This was followed by high costs of mechanized labor at 85.6% and increased labor wages at 82.2%, reflecting the growing pressures on farmers to obtain labor services, whether human or mechanized. [ABSTRACT FROM AUTHOR]

A field experiment was carried out in the two successive seasons i.e., 2022/23 and 2023/24 in Sinnuris, ElFayoum Governorate (latitude 29° 27' 34"N and longitude 30°50' 00.6"E) to find out the optimal sowing method and potassium fertilizer level to get the highest yield and quality traits of sugar beet. This work included eighteen treatments represent the combinations of two sowing methods (traditionally, in rows of 0.5 m apart and a manual double-row plantar sowing machine, with 0.35 m between rows) in addition to three potassium fertilizer levels (24, 36 and 48 kg K2O/fed) for planting three monogerm sugar beet varieties, namely Joko, Narmar and Wombat Smart. A randomized complete block design in a split-split plot arrangement was used. The results indicated that sowing sugar beet mechanically using hand planter scored higher values of root and sugar yields/fed and improved the values of sucrose and the extracted sugar % compared to traditional manual sowing method. Increasing potassium levels from 24 to 36 and 48 kg K2O/fed significantly increased in root and sugar yields, as well as harvest index without significant difference between the two higher K+ levels in all measured yield traits in both seasons, except for harvest index in the 1st season. There was a general tendency toward increasing the studied growth characters of sugar beet due to the gradual increase in potassium fertilizer levels. Increasing K levels decreased α-amino N in roots. Insignificant variance was detected between the tested sugar beet varieties and/or sowing methods in their effect on root impurities in terms of Na+, K+, α-amino N and alkalinity coefficient. Under conditions of the present work, sowing sugar beet "Wombat Smart" variety using manual double-row planter for sowing and fertilized it with 36 or 48 kg K2O/fed can be recommended to increase root and sugar yields/fed. [ABSTRACT FROM AUTHOR]

The purpose of this research is to investigate the physicochemical properties and mineral substances of sugar. In this plan, the effect of exploitation time in the form of months (October, November, December and January) and days (1, 10, 20 and 30) of exploitation of each month on the characteristics of sugar such as solution color, pH, Brix and ash content It was analyzed with analysis of variance test using spss 26 software. The results showed that the color of the solution, Brix, sugar percentage and ash content were significant (p<0.05). The results of the analysis of the technological quality of beet pulp selected from 8 different regions by Betalyzer showed that the results of the three elements sodium, potassium and nitrogen show that the sugar beets of region H have the lowest amount of the mentioned elements and the sugar beet of region B has the highest amount of elements in They had the amount of millimol/100 grams of sugar beet pulp. On the other hand, the results of the amount of alkalinity, percentage of sugar or sucrose, extraction coefficient and molasses are among the results of the technological quality analysis of the samples of sugar beet pulp by Betalyzer, respectively 8.56 for the samples delivered from region A and 3.03 for the samples delivered from region H. In terms of sugar percentage and degree of extraction, region F has the highest amount compared to other regions, so that the percentage of sugar was 18.72 and the degree of extraction was 89.41, which is in contrast to the beets received from regions E, which have the lowest sugar percentage (13.7). percent) and extraction degree (84.47). [ABSTRACT FROM AUTHOR]

This study aimed to investigate the effects of different fertilizer treatments on the growth, yield, and nutrient content of two sugar beet cultivars, Aksu (Kazakhstan) and Yampol (Poland), cultivated in the Almaty region of Kazakhstan. The experiment was conducted using a complete randomized block design with three replicates, comprising six treatments: control (without fertilizer), N120P120K90, and N130P130K130 for both cultivars. The soil's physical and chemical properties were analyzed, revealing a foothill light chestnut soil with favorable nutrient levels. Results indicated that the N130P130K130 treatment significantly increased soil available nitrogen, phosphorus, and potassium contents, leading to enhanced sugar beet growth, nutrient uptake, and yield. Both cultivars responded positively to the increased nutrient levels, with the N130P130K130 treatment showing the highest yield of 785.6 tons/ha for Aksu and 802.5 tons/ha for Yampol. Furthermore, nutrient content in tubers and leaves was significantly higher in the N130P130K130 treatment compared to other treatments. These findings underscore the importance of balanced nutrient management tailored to specific cultivars for optimizing sugar beet productivity and soil fertility in diverse agro-climatic conditions. Adopting balanced mineral nutrient management approaches could offer promising solutions to enhance sugar beet productivity and sustainability. Future research should focus on exploring long-term effects and integrated nutrient management strategies for sustainable sugar beet cultivation. [ABSTRACT FROM AUTHOR]

Rhizosphere environments play a vital role in the nutrient cycling of crops and soil organic nitrogen mineralization. Sugar beet is a highly nitrogen (N)-demanding crop, and it is necessary to explore the relationship between the sugar beet root exudates, the microbial community, and nitrogen utilization. In this study, a special separation method was employed to create rhizosphere (H3) and non-rhizosphere (H2 and H1) environments for sugar beet. After 50 d of cultivation in nearly inorganic-free soil, the microbial diversity and its correlation with root metabolites and N were examined. The results showed that in H3, the inorganic N content was over 23 times higher than in H1 and H2, with a 13.1% higher relative abundance of ammonia-oxidizing bacteria compared to H2 and a 32% higher abundance than H1. The relative abundance of nitrite-oxidizing bacteria was also 18.8% higher than in H1. Additionally, a significant positive correlation was observed between inorganic nitrogen content and serine (Ser) and isoleucine (Ile). The organic nitrogen content exhibited positive correlations with glycine (Gly), alanine (Ala), and tyrosine (Tyr) but displayed negative correlations with certain amino acids, organic acids, and glucose. The co-linearity network indicated that the microbial composition in H3 also exhibited higher node connectivity. It can be inferred that under the influence of sugar beet root exudates, the changes in the rhizosphere's microbial diversity were more intricate, thereby benefiting soil nitrogen cycling and inorganic N accumulation. These findings provide profound insight into sugar beet soil organic nitrogen mineralization and contribute to the sustainable and environmentally friendly development of modern agriculture. [ABSTRACT FROM AUTHOR]

Simple Summary: Betaine, a natural by-product of the sugar beet industry, can improve growth performance when fed to production animals, particularly under increased environmental temperatures. While the positive effects of betaine in monogastric species like pigs and poultry are well investigated, efficacy in ruminants is less clear. The increasing severity and frequency of heat events will impact livestock production, and dietary betaine offers a management tool to mitigate these events. This meta-analysis examined the effects of betaine supplementation on milk production, growth performance, and carcass traits of ruminants. The results showed a positive effect of dietary betaine supplementation in lactating dairy cattle, beef cattle, and sheep. These promising results show that dietary betaine supplementation can be utilized to improve productivity in ruminants under both ambient and hot conditions. Betaine improves growth performance and health in monogastric animals under both thermoneutral and heat stress conditions, but results in ruminants have been more equivocal. This meta-analysis investigated the effects of betaine supplementation on productive performance, milk production and composition, and carcass traits of ruminants due to betaine supplementation. A comprehensive search for published studies investigating the effect of betaine was performed using Google Scholar, ScienceDirect, PubMed, and Scopus databases. Effect size analysis, random effects models, I2 statistics, and meta-regression analysis were utilized to assess differences in production parameters. Dietary betaine supplementation increased milk yield (+1.0 kg/d (weighted mean differences presented in this abstract), p < 0.001), dry matter intake (+0.15 kg/d, p < 0.001), and milk lactose (+0.05%, p = 0.010) in dairy cows housed under thermoneutral conditions. In the few studies conducted on small ruminants, there was an increase in milk yield in response to dietary betaine (0.45 kg/d, p = 0.040). Under heat stress conditions or grazing pasture during summer, dietary betaine increased milk yield (+1.0 kg/d, p < 0.001) and dry matter intake (+0.21 kg/d, p = 0.020). Dietary betaine increased final liveweight (+2.33 kg, p = 0.050) and back fat thickness (+0.74 cm, p < 0.001) in beef cattle. Dietary betaine increased final liveweight (0.14 kg, p = 0.010), daily gain (+0.019 kg/d, p < 0.001), and carcass weight (+0.80 kg, p < 0.001) but not backfat in small ruminants. These meta-analyses showed that dietary betaine increases liveweight in small ruminants and beef cattle and increases feed intake and milk yield in dairy cattle. [ABSTRACT FROM AUTHOR]

Rhizomania is one of the most destructive and damaging sugar beet diseases that has spread in different regions of Iran. In order to evaluate the genotypic, environmental, and genotype by environmental variability of sugar beet genotypes under rhizomania infection, variance components were estimated from the trial series in 7 years. Required data, such as yield and quality parameters, were collected from value for cultivation and use trials. Results of analysis of variance showed that the environment was the source that explained most of the variability, except for amino‐N and alkalinity. Quality traits were also influenced by the environment × cultivar interaction, so that 4.8% (white sugar content) to 46.1% (alkalinity) variance was observed. In contrast, genetic variation was much lower, between 1.2% (potassium) and 27.4% (amino‐N). A strong and negative correlation was found between root yield, sugar yield, and white sugar content with the disease index, which obviously illustrates the negative impact of the rhizomania on root weight and as a consequence on the dependent traits. The cluster analysis of the cultivars based on the quantitative and qualitative traits and the disease index showed that the range of variation in traits, such as the disease index, varied from 6.25 for the susceptible cultivar to 1.25 for the resistant one. This indicates the existence of sufficient genetic diversity among cultivars in terms of this trait. High impurity accumulation was observed in Shiraz region compared with Mashhad. In conclusion, it is observed that rhizomania has a significant effect on the impurity concentration in the root, especially sodium, potassium, and amino‐N. This is very important in the sugar industry because sugar extraction depends on the concentration of these impurities, in addition to the sugar content of each cultivar. [ABSTRACT FROM AUTHOR]

There has always been a specific focus on nitrogen fertilization in sugar beet production due to its important effect on sugar beet root yield and quality. For stable sugar beet growth and satisfactory root yield and quality, balanced N fertilization is crucial. Thus, this study aimed to investigate spring N fertilization in two seasons as the following treatments: N0—control, N1—only pre-sowing fertilization, and N2—pre-sowing with topdressing. Four different genotypes were included in the study (Serenada, Colonia, Fred, and Danton). The experiment was set up in a plain area, belonging to the temperate climate zone in Eastern Croatia (Županja and Vrbanja), with the long-term mean (LTM) (March–October) air temperature around 16 °C and the total precipitation of 515 mm. Pre-sowing N fertilization had a smaller impact on root yield in the year with higher precipitation (31% higher than LTM). Therefore, the average yields with pre-sowing fertilization (N1) and pre-sowing fertilization with top dressing (N2) were very similar and were only 7% higher than those of the control. In a season with less rainfall (29% less than LTM), pre-sowing fertilization with top dressing (N2) had a more pronounced effect on the increase in sugar beet root yield, which was 17% higher compared to that of the control treatment. The sugar beet sucrose content and quality parameters (brei impurities, loss of sugar in molasses, extractable sugar) differed when N fertilization was applied among locations in both seasons. The white sugar yield was the highest at N2 treatment with pre-sowing and topdressing N fertilization. In general, according to the average of all locations and years of research, the Serenada hybrid achieved the highest average root yield (81.1 t ha−1), while Colonia exhibited the highest root sugar content (14.5%) and white sugar yield (9.7 t ha−1). [ABSTRACT FROM AUTHOR]

In the period of 2016–2018, two series of field studies on organic sugar beet growing (Beta vulgaris L.) were carried out in northern Poland on Luvisol loamy soil (medium–heavy) soil in Bałcyny and Płonne. The aim of this study was to decrease the yield gap between organic and conventional beets. Factors to increase the yield of organic beet were differentiated fertilization (cattle farmyard manure (FYM), compost, and Bioilsa) and choice of varieties (Eliska, Jampol, and Sobieski). The reference point was the conventional cultivation of the same sugar beet varieties, fertilized with manure and NPK mineral fertilizers, the prevailing standard of sugar beet cultivation in Poland. High sugar beet root yields exceeding the average yield in Poland by 25–30% were obtained in both studies, both in conventional and organic cultivation. Higher root and white sugar yields were obtained in the study conducted at Płonne (with similar soil conditions to those at Bałcyny), but they were characterized by higher temperatures during the growing season. The lowest root yields in both experiments were obtained by fertilizing the organic beet with compost (66.1 t per ha in Bałcyny and 78.13 t per ha in Płonne), which were 10.8% and 8.5% lower than the conventional crop, respectively. Higher root yields in organic cultivation were obtained by fertilizing the sugar beet with FYM, which reduced the differences from conventional beet to 7.7% in the study in Bałcyny and 2.1% in the study in Płonne. Thus, the results showed no need to convert cattle FYM to compost. The highest root yields in organic cultivation were obtained by fertilizing the sugar beet with Bioilsa N 12.5 supplemented with mineral fertilization of K, Mg, and S (Patentkali). This fertilization provided a yield of 78.1 t of roots per ha in Bałcyny, which is a reduction in the yield gap to 1.4%, a statistically insignificant value. Moreover, in the study at Płonne, organic sugar beet fertilized with Bioilsa and Patentkali yielded 86.7 t of roots per ha, compared to 85.6 t per ha of conventional beet, so a yield gap was not seen here. The choice of varieties was also of great importance for root and pure sugar yields in both farming systems. The lowest yields were obtained from the Eliska variety, and at Bałcyny, a change of beet cultivar to Jampol increased the organic root yield from 68.8 t per ha to 76.0 t per ha, while reducing the yield gap from 10.1% to 2.2%. At Płonne, replacing the Eliska variety with Jampol reduced the yield gap between organic and conventional roots from 6.6% to 0.3%. [ABSTRACT FROM AUTHOR]

Sugar beets account for 30% of global sugar production each year, and their byproducts are an important source of bioethanol and animal feed. Sugar beet is an important cash crop in Inner Mongolia, China. To achieve high yields and sugar content, it is essential to supply nitrogen fertilizer in accordance with the growth characteristics of sugar beet, thereby enhancing the efficiency of nitrogen fertilizer utilization. A two-year experiment was carried out in the experimental field of the Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences. The impact of varying ratios of nitrogen-based fertilizer to topdressing on nitrate nitrogen and ammonium nitrogen levels in the 20–60 cm soil layer, as well as the activities of protease, urease, catalase, and sucrose in the 20–40 cm soil layer were investigated during the rapid leaf growth period and root and sugar growth period. Results indicated that different ratios of nitrogen-based fertilizer to topdressing significantly influenced the levels of nitrate nitrogen and ammonium nitrogen, and the activities of protease and urease in the 0–20 cm soil layer, with these effects diminishing as soil depth increased. The activities of catalase and sucrose were minimally impacted. Nitrogen was applied at 150 kg/ha during the growth period of sugar beet, according to the growth characteristics of sugar beet to maximize nitrogen utilization efficiency. Topdressing was completed with irrigation at the rapid growth stage. The nitrogen-based fertilizer to topdressing ratio of 6:4 resulted in optimal crop yield and sugar yield of sugar beet under shallow drip irrigation. Additionally, the activities of protease and urease in different soil treatments were significantly different, and the activities of protease and urease in the 0–40 cm soil layer were identified as useful soil physiological indicators for nitrogen utilization in sugar beet.

The saturation of sugar beet rotations under different fertilizer application systems and long-term cultivation induces significant changes in soil properties, leading to decreases in humus content, mineral nitrogen, phosphorus, and potassium. The study was conducted in a stationary multifactorial experiment in grain-beet crop rotations: crop rotation, row-crop, and grain-row crop rotations with the application of 40 t/ha of manure under sugar beets + NPK 100:90:90 and a variant without fertilizers. The paper presents the results of monitoring changes in humus content during each rotation, reduction of humus reserves in the plow layer, and physicochemical and agrochemical soil indicators. In the variants without fertilizers, we observed 0.24–0.41% decline in humus content in all crop rotations during 3 rotations of ten-field crop rotations (30 years). Overall, there occurred 0.89–1.00% decrease over 50 years of anthropogenic influence, equivalent to 31.8–35.7 t/ha, or 23.1–26.1% of initial reserves per hectare. Despite application of 40 t/ha of manure + NPK 100:90:90 under sugar beets, humus loss was 27.5 t/ha in the row-crop rotation and 16.8 t/ha in the grain-row crop rotation. Fertilizer application led to increase in exchangeable and hydrolytic soil acidity. With the application of 6.7 t/ha of manure + NPK 53:42:42 per 1 ha of crop rotation area, there was a tendency towards increase in mineral nitrogen content, mobile phosphorus doubled to 280.1–302.8 mg/kg compared to the variant without fertilizers, and exchangeable potassium decreased regardless of the fertilization system, which was associated with its utilization by plants. Sugar-beet yield increased to 44.76 t/ha in the crop-rotation under the organo-mineral-fertilizer application system, exceeding the spring wheat rotation by 4.63 t/ha and the variants without fertilizers by 2.45–2.72 times. Therefore, the modern fertilizer application system under sugar beets did not ensure stabilization of humus content in the soil and increased its acidity. It is necessary to more broadly use cover crops in crop rotations, incorporate crop residues, and apply biological preparations to improve soil fertility.

There has always been a specific focus on nitrogen fertilization in sugar beet production due to its important effect on sugar beet root yield and quality. For stable sugar beet growth and satisfactory root yield and quality, balanced N fertilization is crucial. Thus, this study aimed to investigate spring N fertilization in two seasons as the following treatments: N0—control, N1—only pre-sowing fertilization, and N2—pre-sowing with topdressing. Four different genotypes were included in the study (Serenada, Colonia, Fred, and Danton). The experiment was set up in a plain area, belonging to the temperate climate zone in Eastern Croatia (Županja and Vrbanja), with the long-term mean (LTM) (March–October) air temperature around 16 °C and the total precipitation of 515 mm. Pre-sowing N fertilization had a smaller impact on root yield in the year with higher precipitation (31% higher than LTM). Therefore, the average yields with pre-sowing fertilization (N1) and pre-sowing fertilization with top dressing (N2) were very similar and were only 7% higher than those of the control. In a season with less rainfall (29% less than LTM), pre-sowing fertilization with top dressing (N2) had a more pronounced effect on the increase in sugar beet root yield, which was 17% higher compared to that of the control treatment. The sugar beet sucrose content and quality parameters (brei impurities, loss of sugar in molasses, extractable sugar) differed when N fertilization was applied among locations in both seasons. The white sugar yield was the highest at N2 treatment with pre-sowing and topdressing N fertilization. In general, according to the average of all locations and years of research, the Serenada hybrid achieved the highest average root yield (81.1 t ha−1), while Colonia exhibited the highest root sugar content (14.5%) and white sugar yield (9.7 t ha−1).

Abstract An organism’s observable traits, or phenotype, result from intricate interactions among genes, proteins, metabolites and the environment. External factors, such as associated microorganisms, along with biotic and abiotic stressors, can significantly impact this complex biological system, influencing processes like growth, development and productivity. A comprehensive analysis of the entire biological system and its interactions is thus crucial to identify key components that support adaptation to stressors and to discover biomarkers applicable in breeding programs or disease diagnostics. Since the genomics era, several other ’omics’ disciplines have emerged, and recent advances in high-throughput technologies have facilitated the generation of additional omics datasets. While traditionally analyzed individually, the last decade has seen an increase in multi-omics data integration and analysis strategies aimed at achieving a holistic understanding of interactions across different biological layers. Despite these advances, the analysis of multi-omics data is still challenging due to their scale, complexity, high dimensionality and multimodality. To address these challenges, a number of analytical tools and strategies have been developed, including clustering and differential equations, which require advanced knowledge in bioinformatics and statistics. Therefore, this study recognizes the need for user-friendly tools by introducing Holomics, an accessible and easy-to-use R shiny application with multi-omics functions tailored for scientists with limited bioinformatics knowledge. Holomics provides a well-defined workflow, starting with the upload and pre-filtering of single-omics data, which are then further refined by single-omics analysis focusing on key features. Subsequently, these reduced datasets are subjected to multi-omics analyses to unveil correlations between 2-n datasets. This paper concludes with a real-world case study where microbiomics, transcriptomics and metabolomics data from previous studies that elucidate factors associated with improved sugar beet storability are integrated using Holomics. The results are discussed in the context of the biological background, underscoring the importance of multi-omics insights. This example not only highlights the versatility of Holomics in handling different types of omics data, but also validates its consistency by reproducing findings from preceding single-omics studies.

For nonseed crops reliant on roots, leaves, and stems, breeding bolting-tolerant varieties is vital, and understanding the genetic mechanism aids effective selection. In sugar beet (Beta vulgaris), which accumulates sugar in roots, sequencing variations of BvBTC1, the master gene controlling annual and biennial life cycles, is associated with bolting tolerance, but the effects have not been demonstrated. We conducted quantitative trait loci (QTL) analysis on two generations (F2:3 and F5:6) from diverse bolting-tolerant crosses. Over 4 years, using phenotypic and mainly amplified fragment length polymorphism-based genotypic data, we identified two consistent QTLs: qB2 and qB6. These loci, detected regardless of the survey year or generation, were found to be crucial for enhancing sugar beet's bolting tolerance. qB2 on chromosome 2 exhibited the highest phenotypic variance (PVE; 41.9–66.6%) and was attributed to BvBTC1 based on mapping and gene function. On chromosome 6, qB6 (PVE 7.8–23.7%) was located near bolting-related genes, such as Bv_22330_orky and BvFL1, but the gene responsible for qB6 remains unclear owing to map information limitations. Overall, the key QTL qB2 and qB6 hold promise for advancing bolting tolerance in sugar beet, offering valuable insights for targeted breeding efforts. [ABSTRACT FROM AUTHOR]

Introduction: Bacteria of genus Pectobacterium, encompassing economically significant pathogens affecting various plants, includes the species P. betavasculorum, initially associated with beetroot infection. However, its host range is much broader. It causes diseases of sunflower, potato, tomato, carrots, sweet potato, radish, squash, cucumber, and chrysanthemum. To explain this phenomenon, a comprehensive pathogenomic and phenomic characterisation of P. betavasculorum species was performed. Methods: Genomes of P. betavasculorum strains isolated from potato, sunflower, and artichoke were sequenced and compared with those from sugar beet isolates. Metabolic profiling and pathogenomic analyses were conducted to assess virulence determinants and adaptation potential. Pathogenicity assays were performed on potato tubers and chicory leaves to confirm in silico predictions of disease symptoms. Phenotypic assays were also conducted to assess the strains ability to synthesise homoserine lactones and siderophores. Results: The genome size ranged from 4.675 to 4.931 kbp, and GC % was between 51.0% and 51.2%. The pangenome of P. betavasculorum is open and comprises, on average, 4,220 gene families. Of these, 83% of genes are the core genome, and 2% of the entire pangenome are unique genes. Strains isolated from sugar beet have a smaller pangenome size and a higher number of unique genes than those from other plants. Interestingly, genomes of strains from artichoke and sunflower share 391 common CDS that are not present in the genomes of other strains from sugar beet or potato. Those strains have only one unique gene. All strains could use numerous sugars as building materials and energy sources and possessed a high repertoire of virulence determinants in the genomes. P. betavasculorum strains were able to cause disease symptoms on potato tubers and chicory leaves. They were also able to synthesise homoserine lactones and siderophores. Discussion: The findings underscore the adaptability of P. betavasculorum to diverse hosts and environments. Strains adapted to plants with high sugar content in tissues have a different composition of fatty acids in membranes and a different mechanism of replenishing nitrogen in case of deficiency of this compound than strains derived from other plant species. Extensive phenomics and genomic analyses performed in this study have shown that P. betavasculorum species is an agronomically relevant pathogen. [ABSTRACT FROM AUTHOR]

Today, cytoplasmic male sterile (CMS) lines are used in sugar beet breeding programs. Superior hybrid cultivars are developed by crossing parents with high overall combining ability. Molecular genetic advances allow to predict potential heterosis between parental lines. The present study was conducted to determine the magnitude of genetic variability and yield and quality traits of O-type sugar beet lines that can be used to develop CMS lines. A total of 27 O-type sugar beet lines were evaluated in genetic diversity using 16 simple sequence repeat (SSR) primers and yield and quality traits were evaluated in randomized complete block design with three replications in 2021 growing season. The result of variance analysis revealed significant variation among sugar beet lines for all examined traits. According to the similarity matrix, the genetic similarity ranged between 0.4 and 0.98. The mean PIC (polymorphic information content) value of the primers was 0.79. Root yield, sugar ratio, Na, K and α-amino N contents were determined. Significant yield and quality differences were detected among the tested O-type lines. The O-type line ERU102 was suggested for higher root yield, ERU200 and ERU104 were suggested for higher sugar content, ERU200 was suggested for lower Na content, ERU198 was suggested for lower K content and ERU201 was suggested for lower α-amino N. Consequently, significant differences were observed between O-type sugar beet genotypes. The polymorphism was detected using SSR marker system. The utilization of the SSR marker system revealed substantial polymorphic characteristics. [ABSTRACT FROM AUTHOR]

This study was conducted with the aim of investigating the effect of salinity stress and different temperatures on germination and determining the cardinal temperatures of germination (basic, optimal and ceiling germination temperatures) of two sugar beet cultivars. Experimental treatments included different levels of salinity stress (0, 40, 80, 120 and 160 mM) and different temperatures (5, 10, 15, 20, 25, 30, 35 and 40 °C). The three-parameter sigmoidal model was used to determine the time to reach 50% germination. The results showed that temperature and salinity stress had an effect on germination percentage and germination rate. In addition, the results showed that with increasing temperature up to optimum temperature, the germination percentage and germination rate increased, and with increasing salinity stress, the germination percentage and also the germination rate decreased. The germination percentage and germination rate in Brigitta variety was higher than that of Shokofa variety. According to the RMSE, CV, R²Adj, SE parameters, the beta model was the most suitable model for both sugar beet cultivars. In the Brigitta variety, the base temperature is between 3.67 and 5 °C, the optimal temperature is between 16.67 and 26.35 °C, and the roof temperature is between 40.10 and 40.89 °C, and in the shokofa variety, the base temperature is between 2.88 and 2.80 °C. 5.65, the optimum temperature varied between 16.11 and 26.47 °C and the ceiling temperature between 39.94 and 42.94 °C. The obtained results showed that the percentage and speed of germination in Brigitta variety under salinity stress conditions and different temperatures was higher than that of Shokofa variety, but there was no significant difference between the two varieties in terms of cardinal temperatures. Therefore, by using the output of these models at different temperatures, it is possible to predict the germination speed at different potentials. [ABSTRACT FROM AUTHOR]

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Cercospora beticola Sacc. is an ascomycete pathogen that causes Cercospora leaf spot in sugar beets (Beta vulgaris L.) and other related crops. It can lead to significant yield losses if not effectively managed. This study aimed to assess rhizosphere bacteria from sugar beet soil as a biological control agent against C. beticola and evaluate their effect on B. vulgaris. Following a dual-culture screening, 18 bacteria exhibiting over 50% inhibition were selected, with 6 of them demonstrating more than 80% control. The bacteria were identified by sequencing the 16S rRNA gene, revealing 12 potential species belonging to 6 genera, including Bacillus, which was represented by 4 species. Additionally, the biochemical and molecular properties of the bacteria were characterized in depth, as well as plant growth promotion. PCR analysis of the genes responsible for producing antifungal metabolites revealed that 83%, 78%, 89%, and 56% of the selected bacteria possessed bacillomycin-, iturin-, fengycin-, and surfactin-encoding genes, respectively. Infrared spectroscopy analysis confirmed the presence of a lipopeptide structure in the bacterial supernatant filtrate. Subsequently, the bacteria were assessed for their effect on sugar beet plants in controlled conditions. The bacteria exhibited notable capabilities, promoting growth in both roots and shoots, resulting in significant increases in root length and weight and shoot length. A field experiment with four bacterial candidates demonstrated good performance against C. beticola compared to the difenoconazole fungicide. These bacteria played a significant role in disease control, achieving a maximum efficacy of 77.42%, slightly below the 88.51% efficacy attained with difenoconazole. Additional field trials are necessary to verify the protective and growth-promoting effects of these candidates, whether applied individually, combined in consortia, or integrated with chemical inputs in sugar beet crop production. [ABSTRACT FROM AUTHOR]

Rhizomania destroys sugar beet globally, but breeding disease-resistant genotypes is crucial in fighting it. In this study, 13 modern genotypes were examined based on the list provided by the Iraniai Seed Registration and Certification Institute. Genotypes grown in a randomized complete block design, with four replications in Iran's Karaj, Mashhad, Miandoab, Shiraz, and Hamedan stations. Results revealed that F-21375 and F-21092 genotypes achieved the highest white sugar yield in all five investigated stations. The results of additive mean effect multiplicative interaction (AMMI) analysis based on white sugar yield showed that the additive effects of genotype and environment and the multiplicative effect of G×E accounted for 13.11, 51.29, and 10.60% of the total data variance, respectively. The AMMI stability parameters identified the F-21376 genotype as a stable variety that produces a high white sugar yield in five locations. Also, the first two components of the interaction effect (G×E) explained 80.70% of the variance. The biplot analysis showed that F-21376 was the genotype that produced the greatest white sugar yield and stability in infected conditions. Based on the results of the multi-trait stability index (MTSI), F-21375, and F-21372 genotypes were selected as ideal genotypes. Finally, it can be concluded that two genotypes, F-21375 and F-21376, can be introduced as high-yielding and disease-resistant genotypes in the beet cultivation areas due to their white sugar yield and stability in experimental environments. [ABSTRACT FROM AUTHOR]

An organism's observable traits, or phenotype, result from intricate interactions among genes, proteins, metabolites and the environment. External factors, such as associated microorganisms, along with biotic and abiotic stressors, can significantly impact this complex biological system, influencing processes like growth, development and productivity. A comprehensive analysis of the entire biological system and its interactions is thus crucial to identify key components that support adaptation to stressors and to discover biomarkers applicable in breeding programs or disease diagnostics. Since the genomics era, several other 'omics' disciplines have emerged, and recent advances in high-throughput technologies have facilitated the generation of additional omics datasets. While traditionally analyzed individually, the last decade has seen an increase in multi-omics data integration and analysis strategies aimed at achieving a holistic understanding of interactions across different biological layers. Despite these advances, the analysis of multi-omics data is still challenging due to their scale, complexity, high dimensionality and multimodality. To address these challenges, a number of analytical tools and strategies have been developed, including clustering and differential equations, which require advanced knowledge in bioinformatics and statistics. Therefore, this study recognizes the need for user-friendly tools by introducing Holomics, an accessible and easy-to-use R shiny application with multi-omics functions tailored for scientists with limited bioinformatics knowledge. Holomics provides a well-defined workflow, starting with the upload and pre-filtering of single-omics data, which are then further refined by single-omics analysis focusing on key features. Subsequently, these reduced datasets are subjected to multi-omics analyses to unveil correlations between 2-n datasets. This paper concludes with a real-world case study where microbiomics, transcriptomics and metabolomics data from previous studies that elucidate factors associated with improved sugar beet storability are integrated using Holomics. The results are discussed in the context of the biological background, underscoring the importance of multi-omics insights. This example not only highlights the versatility of Holomics in handling different types of omics data, but also validates its consistency by reproducing findings from preceding single-omics studies. [ABSTRACT FROM AUTHOR]

One of the most delicate operations in the sugar beet harvesting process is removing the tops from the heads of the root crops without any mechanical damages. The aim of this study is to improve the design of the conveying and unloading system of the sugar beet topper machine. In this paper, a mathematical model of the motion of a cut beet tops particle M, along the conveying and unloading system, has been developed to support the evaluation of kinematic and design parameters, depending on the rotational speed of the thrower blade, the air flow speed, the required ejection speed of particle M, and the position of the trailer that moves alongside the harvester. It has been established that increasing the speed Va of the top particle M, which has left the end of the blade of the thrower, leads to an increase in the arc coordinate S(t) of its movement along the cylindrical section of the casing. Within the range of the speed change from 4 m·s–1 to 8 m·s–1, the value of the arc coordinate S(t) increases by 1.4 times during time t = 0.006 s. Moreover, a rapid decrease in speed V is observed with an increase in the length x of the discharge chute. [ABSTRACT FROM AUTHOR]

The experiment was carried out at the Agricultural Institute, Shumen (Bulgaria) in 2018, with the aim to determine the potential nutritional value of the root dry mass of sugar, fodder and table beets with selection value. Sugar beet root mass was found to have the highest values of gross and metabolizable energy, as well as milk and feed units for growth compared to table and fodder beets. The values of the indicators on the first date of harvesting exceed the total group of beet types (All Grps), respectively, by 0.2% (for GE), 7.1% (for ME), 9.1% (for Feed units for milk) and 12.1% (for Feed units for growth), and on the second collection date (October 23rd), respectively, by 1.4% (for BE), 9.0% (for ME), 10.4% (for FUM) and 13.8% (for FUG). For the period of the experiment, the difference in the values of the signs is unproven. The amount of gross energy (55.89%), metabolizable energy (96.98%), as well as the number of feed units for milk (97.31%) and growth (97.59%) were influenced to the highest degree by the type of beet. Correlation and regression relationships between some indicators characterizing the composition and nutritional value of the root dry mass have been derived, to be used for practical purposes. [ABSTRACT FROM AUTHOR]

Northern China faces water scarcity, restricting water usage in place across Inner Mongolia's western region. The integrated irrigation and fertilization model for sugar beet is undergoing rapid development and application in production. However, there is a concerning trend in production where the frequency of irrigation and fertilization is being increased blindly, resulting in the wastage of valuable water and fertilizer resources. Limiting water and fertilizer usage is an effective approach to improve sugar beet production efficiency. Sugar beets are a significant sugar crop in China. A split-plot design was employed to examine the impact of reducing water and fertilizer use on sucrose metabolism in sugar beet root. Our study was performed at the Ulanqab Institute of Agricultural and Forestry Sciences in Inner Mongolia from 2022 to 2023. Three levels of fertilization and irrigation were utilized. We investigated the interactions between irrigation and fertilization on sucrose accumulation in sugar beet root. We examined key enzyme activities involved in sucrose metabolism alongside their gene expression levels. The findings suggested that reducing irrigation by 15%, fertilization by 10%, or both irrigation by 15% and fertilization by 10%, increased sucrose concentrations of sugar beets compared to the control group administered conventional water and fertilizer. Over the two-year period, the average sucrose concentration increased by 0.45, 0.57, and 0.65 degrees, respectively, under each treatment. Subsequent research verified that appropriately reducing water and fertilizer can regulate the expression of enzyme genes, thus influencing enzyme activity. Moreover, due to the higher efficiency of enzyme synthesis compared to decomposition, it contributed to an increase in net enzyme activity. These findings suggest that an appropriate reduction of water and fertilizer can improve sucrose synthesis rates and increase the sucrose concentration in sugar beets, providing a theoretical basis for environmentally friendly generation and enhanced efficiency in sugar beet growth. [ABSTRACT FROM AUTHOR]

Estimating the energy required to produce a crop is an important indicator in analyzing and evaluating agricultural sustainability. This study aimed to investigate the energy use of strategic sugar beet crop in Qazvin provinces of Iran. In this study, data were collected from growers using a face-to-face questionnaire to calculate the consumption inputs (such as water for irrigation, fuel consumption, seeds, human labor, electricity, machinery, fertilizers and pesticides) for different seedbed preparation, planting and harvesting operations. The results showed that the average input energy of sugar beet was 52055 MJ ha-1 and the average output energy was 532135 MJ ha-1. In sugar beet cultivation, the highest and lowest energy inputs belonged to chemical fertilizer with 27.7% and seed with 0.2% of total input energy, respectively. The energy ratio of sugar beet was 10.5. Also energy productivity of sugar beet was calculated 0.61 kg MJ -1, net energy gain of sugar beet was 480080 MJ ha -1 and the energy rate of sugar beet was 1.64 MJ kg-1. [ABSTRACT FROM AUTHOR]

To investigate the effect of soil additives in reducing the effect of water deficit stress on sugar beet, an experiment was performed as a combined analysis in two regions based on randomized complete block design with four replications. Experimental treatments were location factor at two levels of Miandoab and Malekan, water deficit stress factor at three levels of 50 mm (lack of stress), 110 mm (moderate stress) and 170 mm (severe stress) evaporation from class A evaporation pan and soil additive factor at four levels of control (no soil additives), superabsorbent, mycorrhiza and livestock manure. In the present study, the use of soil additive treatments in both regions were able to improve the yield of pure sugar compared to control. In irrigation treatment after 170 mm of evaporation, the highest leaf area index (3.28), relative leaf water content (65.96%), shoot dry weight (3.45 t ha-1 ), root yield (49.48 t ha-1 ), gross sugar yield (9.73 t ha-1 ) and pure sugar yield (8.32 t ha-1 ) were obtained by mycorrhiza application and sugar content (20.48%) and pure sugar percent (17.11%) were obtained in control and superabsorbent application, respectively. In water deficit stress, application of mycorrhiza and superabsorbent were able to significantly increase the yield of pure sugar compared to the control. Due to the fact that sugar beet is exposed to different periods of water deficit stress in the tested areas, the use of mycorrhiza and superabsorbent can be a suitable method to reduce the effect of water deficit stress in sugar beet. [ABSTRACT FROM AUTHOR]

The importance of the research was to study the current situation of the food gap of wheat and sugar on an ongoing basis and the insufficient supply of local production to meet consumption. The research aimed mainly to identify the current position of Egyptian wheat and sugar to find out the reasons for the fluctuation of its quantity and value from year to year, by identifying the productive position of wheat and sugar in Egypt through its main production crops of sugar cane and sugar beet, in terms of production fluctuations and changes in the cost of local resources used in the production process and the prices of production inputs and the extent of their impact on their comparative advantage in production, and also the impact of this on decision-makers in Develop future policies for the development of these crops in light of local and regional changes, including the water crisis and the global crisis, such as the current Russian-Ukrainian war. The agricultural policy of wheat and sugar beet was studied in terms of targeted support for production inputs and comparative advantage in their local production. The descriptive and econometric economic analysis method has been used through the simple and multiple regression method. The Policy Analysis Matrix matrix, nominal and effective protection coefficients, and profitability measures were used during the study periods (2011-2015) and (2017-2021). The results showed that both wheat and sugar beet crops enjoy direct and indirect support, but wheat enjoys a high level of protection. While sugar beet surpasses wheat in financial and economic profitability in the first period before the exchange rate floated, which means that sugar beet has an absolute advantage over wheat. The study recommends continuing to provide both direct and indirect support to sugar beet farmers by encouraging the expansion of cultivated area by following a fair price policy for both crops. [ABSTRACT FROM AUTHOR]

Precipitated calcium carbonate (PCC) lime is a byproduct of sucrose extraction from sugarbeet processing factories in Idaho. Each year 351,000 Mg PCC is produced and stockpiled at sugarbeet factories in Idaho. There currently are no large-scale disposal strategies for the PCC and these stockpiles continue to grow each year. The simplest solution would be to apply more of the PCC directly to agricultural fields each year, however the effects of PCC on high pH soils and southern Idaho crop rotations are not well understood. A study was conducted at the USDA-ARS laboratory in Kimberly, ID to determine the effects of PCC application to an alkaline silt loam soil on sugarbeet, dry bean and barley production and soil properties. Three PCC treatments (rate and timing) and an untreated control were compared. The PCC had no effects on crop production factors and most soil properties. The only significant effect of PCC treatments was an increase in soil phosphorus (P) concentrations compared to the control. This indicates the PCC can serve as a P fertilizer. For all three crops in this study, PCC was applied at rates that resulted in applied P levels that were 1.6 to 5.3 times greater than even the highest published recommended P rates. Compared to the control, bicarbonate soil P concentrations increased by 25% and 73% for the final PCC application amounts of 26.9 Mg ha-1 (6.7A treatment) and 89.7 Mg ha-1 (6.7A and 89.7T treatments), respectively. The PCC used in this study can safely be applied (at rates up to 87.9 Mg ha-1) to heavier textured alkaline soils in the local growing area. Disposing of PCC in this way represents a viable strategy for reducing PCC stockpiles. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Plant Protection & Pathology is the property of Egyptian National Agricultural Library (ENAL) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The objective of this research is to examine the use of precipitated calcium carbonate (PCC), obtained during the production of sugar from sugar beets, and to stabilize subgrades beneath highway pavements or to stabilize foundations built on loess (windblown silt). The research also aims to permanently capture the carbon from PCC in soil. The experimental process involved the collection of representative loess samples, the addition of variable percentages of PCC, and conducting laboratory experiments on compacted PCC soil mixes to evaluate the effect of PCC on subgrades beneath pavement and foundations beneath buildings. Samples of PCC were obtained from the Amalgamated Sugar Corporation, located 187 km away from Pocatello. In addition, soil was collected from local sources in which saturation collapse and damage have occurred in the past. Unconfined compressive strength tests, which index subgrade bearing failures, were performed on both untreated and PCC-treated soils to evaluate the effect of PCC in stabilizing pavement subgrades and foundations as well as sequestering carbon. The experimental test results revealed a significant average increase of 10% to 28% in the strength of loess samples stabilized with 5% PCC compared to the native soil. The chemical composition and microstructure of PCC were further analyzed through energy-dispersive X-ray spectroscopy (EDX) and scanning electron microscopy (SEM) tests. EDX analysis unveiled a carbon content of 9% by weight in PCC, which could contribute to the carbon footprint when it breaks down. Additionally, SEM images displayed an unsymmetrical and sub-rounded microstructure of PCC particles. Based on these findings, the study suggests that utilizing PCC could improve the resistance of loess to saturation collapse and potentially reduce carbon emissions associated with cement or lime production while offering an opportunity to use PCC in soil application. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agricultural Science & Sustainable Production is the property of University of Tabriz and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)