Beet Cultivars Research Articles

Melatonin application enhances salt stress-induced decreases in minerals, betalains, and phenolic acids in beet (Beta vulgaris L.) cultivars.

Melatonin is a potentially active signaling molecule and plays a crucial role in regulating the growth and development of plants under stress conditions, alleviating oxidative damage, enhancing antioxidant defence mechanisms and regulating ion homeostasis. This study examined the effects of exogenous melatonin application on leaf biomass, ion concentrations, betalains, phenolic acid and endogenous melatonin contents comparing red beet (Beta vulgaris L. 'Ruby Queen' and 'Scarlet Supreme') and white beet ('Rodeo' and 'Ansa') cultivars under increasing salinity levels of 50, 150, and 250 mM NaCl. Exogenous melatonin increased salinity-induced reductions in fresh and dry weights and osmotic potential in leaves. Na+ concentrations rose significantly with increasing salinity, but cultivar-specific decreases were observed in K+ and Ca2+ concentrations. Additionally, melatonin application improved betalain, betanin and neobetanin contents induced by salt stress. Furthermore, melatonin application caused salt stress and cultivar-specific changes in phenolic acid contents e.g., ferulic acid, sinapic acid, or m-coumaric acid, in soluble free, ester- and glycoside-conjugated and cell wall-bound forms. In addition, antioxidant enzyme activities and compound contents increased significantly in the beets and were subsequently lowered in a cultivar-specific manner by salt stress + melatonin treatment. The current findings indicate that exogenous melatonin improved plant stress tolerance suppressing reactive oxygen species levels, increasing the antioxidant enzyme activities and compound contents and reducing the levels of Na+, maintaining an ionic homeostasis in the selected red and white sugar beet cultivars. It appears that melatonin application may help improve cultivar-specific salt tolerance by enhancing ion homeostasis and betalain and phenolic acid production levels in beets.

Susceptibility of Table Beet Cultivars to Foliar Diseases in New York

A collection of foliar diseases affects table beet production in New York. The predominant diseases are bacterial leaf spot (BLS) caused by the bacterium Pseudomonas syringae pv. aptata; Cercospora leaf spot (CLS) caused by the fungus Cercospora beticola; and Phoma leaf spot (PLS) caused by the fungus Phoma betae (syn. Neocamarosporium betae). Little is known of the potential to use host resistance in an integrated program for table beet disease management. Field trials evaluated the susceptibility of selected table beet cultivars (Bohan, Bresko, Manolo, Pablo, Red Cloud, Ruby Queen, Subeto, and Bazzu/Irazu) to BLS, CLS, and PLS. Bohan was one of the least susceptible to BLS but was moderately and highly susceptible to CLS and PLS, respectively. Bresko was moderately susceptible to BLS and CLS and was among the least susceptible to PLS. Manolo was one of the least susceptible to BLS and PLS but was highly susceptible to CLS. Pablo and Red Cloud were moderately or highly susceptible to all diseases. Subeto was moderately susceptible to BLS and CLS but was the least susceptible to PLS. Ruby Queen, the processing standard, was the least susceptible to BLS and PLS and was moderately susceptible to CLS. Bazzu and Irazu (2021 and 2022, respectively) were among the least susceptible to all diseases and were the only cultivars tested with reduced CLS susceptibility. These findings emphasize the need to evaluate table beet cultivar susceptibility to the spectrum of foliar diseases. This information may underpin cultivar selection based on the varying importance of diseases in specific production situations.

Aerial low‐altitude remote sensing and deep learning for in‐field disease incidence scoring of virus yellows in sugar beet

AbstractThis study investigates the potential of high‐resolution (<0.5 cm/pixel) aerial imagery and convolutional neural networks (CNNs) for disease incidence scoring in sugar beet, focusing on two important aphid‐transmitted viruses, beet mild yellowing virus (BMYV) and beet chlorosis virus (BChV). The development of tolerant sugar beet cultivars is imperative in the context of increased disease management concerns due to the ban on neonicotinoids in the European Union. However, traditional methods of disease phenotyping, which rely on visual assessment by human experts, are both time‐consuming and subjective. Therefore, this study assessed whether aerial multispectral and RGB images could be harnessed to perform automated disease ratings comparable to those performed by trained experts. To this end, two variety trials were conducted in 2021 and 2022. The 2021 dataset was used to train and validate a CNN model on five cultivars, while the 2022 dataset was used to test the model on two cultivars different from those used in 2021. Additionally, this study tests the use of transformed features instead of raw spectral bands to improve the generalization of CNN models. The results showed that the best CNN model was the one trained for BMYV on RGB images using transformed features instead of conventional raw bands. This model achieved a root mean square error score of 11.45% between the model and expert scores. These results indicate that while high‐resolution aerial imagery and CNNs hold great promise, a complete replacement of human expertise is not yet possible. This research contributes to an innovative approach to disease phenotyping, driving advances in sustainable agriculture and crop breeding.

Genotype by environment interaction and stability analysis for harvest date in sugar beet cultivars

This research assessed the quantitative and qualitative reactions of commercially grown sugar beets to four different harvest dates and their yield stability. The study followed a split-plot design within a randomized complete block design over 3 years. The main plot involved 10 sugar beet cultivars, while the subplot involved four harvest dates: August 13 (HD1), September 7 (HD2), October 3 (HD3), and November 12 (HD4). The study found that environmental conditions, genotypes, and harvest dates significantly affected various traits of sugar beet. Yearly environmental variations and their interactions with genotypes and harvest dates had substantial impacts on all measured traits at the 1% probability level. Additive main effect and multiplicative interaction analysis based on white sugar yield indicated that genotype and environment's additive effects, as well as the genotype–environment interaction, were significant at 1% probability level. Shokoufa and Arya, which exhibit high white sugar yield (WSY) and low first interaction principal component (IPC1) values, are identified as desirable due to their stability across different environments. Among the harvest dates in different years, the fourth and third dates showed a higher yield than the total average. Perfekta and Ekbatan exhibited high specific adaptability. According to the multi-trait stability index, Arta, Arya and Sina were recognized as stable and superior across all measured traits.

IN-STORAGE WEIGHT LOSS BY TABLE BEETROOTS DEPENDING ON THE ROOT PULP STRUCTURE

Purpose - to determine the in-storage weight loss by table beetroots depending on the root pulp structure. Methods. 1. General scientific: hypotheses – drawing up designs of experiments; experiments - conducting laboratory tests; analysis and synthesis – summarizing and concluding. 2. Computantional and analytical. Results. Beetroots naturally lose their weight during storage and this process is uneven. At the beginning, it is quite rapid, then it gradually slows down, accelerating in spring. Of the studied beet cultivars, the greatest losses of weight during storage were registered for cvs. 'Renova' and 'Tsylindra'. The weight loss by beetroots was correlated with a decrease in the dry matter content, which was spent on the respiration of beetroots to support their vital activity. In beet cvs. 'Renova' and 'Opolskyi', the decrease in the dry matter during storage was greater, amounting to 5.6 and 4.5%, respectively. There was a relationship between cell area and in-storage water evaporation. It was revealed that in cells with the largest area of 140.04·103 μm, the evaporation-caused losses amounted to 77.7% (cv. 'Karilon'), while in cells with the smallest area of 62.89·103 μm, this parameter was only 10.5% (cv. 'Opolskyi'). Conclusions. There was a direct strong correlation between water evaporation and cell size (r = 0.791). There was a significant second-order curvilinear dependence of beetroot weight loss on cultivars' features (R2 = 0.6041–0.9910).

Silicon drip fertigation improved sugar beet root and canopy growth and alleviated water deficit stress in arid areas

Crop growth is highly susceptible to drought stress due to water scarcity in arid areas. Silicon (Si) fertilizer could improve the tolerance of crops to drought stress, but the effect of drip fertigation of Si fertilizer on the growth and yield of sugar beets under drought stress is still unclear. In this field experiment conducted in 2022 and 2023 in the arid northwest China, the effects of different Si fertilizer application rates (0 kg ha−1 (Si0), 15 kg ha−1 (Si1), 38 kg ha−1 (Si2), 75 kg ha−1 (Si3)) on the growth, yield, and resource use efficiency of sugar beets (cultivars Beta356 (BT) and Strube13092 (ST)) under deficit irrigation (60 % of crop evapotranspiration (ETc), W2) were explored. The results showed that deficit irrigation (W2Si0) reduced the taproot and fibrous root growth, leaf net photosynthetic rate (Pn), leaf relative water content (LRWC), and leaf area index (LAI) of cultivar BT compared with full irrigation (100 % of ETc, W1). Under deficit irrigation, Si application (W2Si1, W2Si2, and W2Si3) alleviated the drought stress by increasing the number of fibrous roots in 17.5–70.0 cm soil layer and promoted the growth of taproots. Besides, it also increased the leaf moisture and photoassimilate production by increasing plant Si uptake, LRWC, LAI, and Pn. This finally increased the taproot yield (TY), irrigation water use efficiency (IWUE), and partial factor productivity of nitrogen (PFPN) by 11.2 % - 22.9 %, 6.5 % - 19.3 %, and 6.3 % - 19.3 %, respectively in cultivar BT and by 8.8 % - 27.1 %, 13.4 % - 30.8 %, and 13.4 % - 30.8 %, respectively in cultivar ST, compared with W2Si0. Regression analysis showed that the Si fertilizer application rate 64 kg ha−1 could maximize the TY of cultivar BT, but the net revenue (NR) was significantly lower than that of the W1 treatment. The Si fertilizer application rate 71 kg ha−1 could increase the TY of cultivar ST and achieve a NR similar to that of the W1 treatment. Therefore, in arid regions, Si application could alleviate the adverse effects of drought stress on drip-irrigated sugar beet root and shoot growth and improve yield, but the Si application rate varied with sugar beet cultivars.

Optimizing an Organic Method of Sugar Beet Cultivation and Yield Gap Decrease in Northern Poland

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%.

Spontaneous and Chemically Induced Genome Doubling and Polyploidization in Vegetable Crops

Plant ploidy manipulation is often required for breeding purposes. However, there is no comprehensive review covering genome doubling in vegetable crops despite the abundance of data for a large number of vegetable species. Similar to other species, genome doubling is required in vegetable crops to obtain doubled haploids (DHs). It is also utilized for the production of polyploids to overcome interspecific hybrid sterility and improve agricultural traits. Spontaneous haploid genome duplication (SHGD) occurs in many Apiaceae, Brassicaceae, Cucurbitaceae, and Solanaceae crops, allowing for the laborious treatment with antimitotic agents to be bypassed. SHGD mechanisms are not fully understood, but existing data suggest that SHGD can occur via nuclear fusion, endoreduplication, or other mechanisms during microspore or ovule early embryogenic development. Other studies show that SHGD can occur at later developmental stages during extended plant growth in vitro or ex vitro, possibly due to the presence of phytohormones in the medium and/or diploid cell competitive advantage. For unresponsive accessions and species with rare SHGD, such as onion (Allium cepa L.) and beet cultivars (Beta vulgaris subsp. vulgaris L.), antimitotic agent treatment has to be applied. Antimitotic agent application efficiency depends on the treatment conditions, especially the agent concentration and exposure time. Also, plant developmental stage is critical for agent accessibility and plant survival. The existing methods can be used to further improve genome doubling methodology for major vegetable crops and other species.

Evaluation of sugar beet (Beta vulgaris L.) cultivars for some biochemical and agronomic traits under drought stress

This experiment aimed to evaluate quantitative and qualitative characteristics, tolerance to water deficit, and stability of white sugar in sugar beet cultivars. The experimental design was a split plot based on a randomized complete block design with three replications, where the irrigation levels (normal and water shortage) were assigned to the main plots and 18 sugar beet cultivars were assigned to the subplots. The result revealed that Palma achieved the maximum root and white sugar yield under normal and water deficit; furthermore, the highest indices of YP, YS, MP, STI, HM, YI, DI, REI and MRP belonged to the Palma cultivar. The results of the 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 75.52, 17.05 and 6.76 % of the total data variance. Based on AMMI stability value, the Delta, Pars, Paya and Novodoro cultivars were recognized as stable varieties. Also, the first 2 significant components of the interaction effect (G×E) accounted for 99.12 % of interaction effects variation. Based on the biplot results of the first 2 significant components against white sugar yield, Azare and Merak were the appropriate cultivars. Finally, Based on the multi-trait stability index, Azara, Novodoro and Merak cultivars were selected as stable genotypes. In 2 years and 2 conditions, the Palma cultivar was identified as a cultivar with high yield and drought tolerance and low stability and the Merak cultivar was identified as a cultivar with white sugar yield and acceptable stability.

Effect of High Salt Stress on Germination and Growth of Some Varieties of Common Beet

Information is provided on soil salinization as the most common abiotic stress that reduces the productivity and quality of agricultural plants. Salt stress is associated with lipid peroxidation in cell membranes, DNA damage, protein denaturation, carbohydrate oxidation, pigment breakdown and disruption of enzymatic activity, as well as metabolic adaptations, including primarily the accumulation of osmolytes. The growth of higher plants in saline soil depends on the salt tolerance of the plant species. Reduced plant growth due to salinity includes a reduction in plant leaf area. A pot experiment plant materials was carried out based on investigate the effect of salt stress on growth and state stomatal of three sugar beet (Beta vulgaris) cultivars, Cooper, Tarifa and Taltos which import from Denmark. Plants were harvested after 30, 45 and 60 days of salt treatment and were separated into leaf lamina, petioles, stem, and roots.

Effect of fertilizer treatments on sugar beet cultivars: A comprehensive study on crop yield and nutrient contents of soil and plant in chestnut soil of Kazakhstan

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.

Regulation of photosynthetic function and reactive oxygen species metabolism in sugar beet (Beta vulgaris L.) cultivars under waterlogging stress and associated tolerance mechanisms

Sugar beet (Beta vulgaris L.) is an economically important sugar crop worldwide that is susceptible to sudden waterlogging stress during seedling cultivation, which poses a major threat to sugar beet development and production. Our understanding of the physiological basis of waterlogging tolerance in sugar beet is limited. To investigate the photosynthetic adaptation strategies of sugar beet to waterlogging stress conditions, the tolerant cultivar KUHN1260 (KU) and sensitive cultivar SV1433 (SV) were grown under waterlogging stress, and their photosynthetic function and reactive oxygen species (ROS) metabolism were assessed. Our results showed that waterlogging stress significantly reduced the photosynthetic pigment content, rubisco activity, and expression level of the photosynthetic enzyme genes SvRuBP, SvGAPDH, and SvPRK, gas exchange parameters, and chlorophyll fluorescence parameters, induced damage to the ultrastructure of the chloroplast of the two sugar beet cultivars, inhibited the photosynthetic carbon assimilation capacity of sugar beet leaves, damaged the structural stability of photosystem II (PSII), and disturbed the equilibrium between electrons at the acceptor and donor sides of PSII, which was the result of stomatal and non-stomatal limiting factors. Moreover, the level of ROS, H2O2, and O2▪−, antioxidant enzyme activity, and gene expression levels in the leaves of the two sugar beet cultivars increased over time under waterlogging stress; ROS accumulation was lower and antioxidant enzyme activities and gene expression levels were higher in the waterlogging-tolerant cultivar (KU) than the waterlogging-sensitive cultivar (SV). In sum, these responses in the more tolerant cultivars are associated with their resistance to waterlogging stress. Our findings will aid the breeding of waterlogging-tolerant sugar beet cultivars.

Performance Evaluation and Adaptability Study of Fodder Beet (<i>Beta vulgaris L</i>.) Cultivars in Highlands of Bale Zone South East Ethiopia

Shortage animal feed interims of quality and quantity is the major bottle neck in livestock production through the year in Ethiopia particularly in the highlands of Bale Zone. A study was conducted at Sinana Agricultural Research Center (SARC), South East Ethiopia for three consecutive cropping season (2020/21, 2021/22 and 2022/23) in two locations (Sinana on station and Agarfa subsite) to evaluate the adaptability of four Cultivars of Fodder beet (namely Bircks, Kulumsa, Magnum and Robbos). Experimental plots were laid out in a randomized complete block design with three replications. All cultivars were performed well. However, there is significant variation among the Cultivars. The combined result over locations over years indicated that, Kulumsa cultivars gives the highest shoot fresh biomass yield (41.88 t ha<sup>-1</sup>), root fresh biomass yield (86.49 t ha<sup>-1</sup>) and shoot Dry biomass yield (4.52 t ha<sup>-1</sup>). The remaining cultivars have not statistically significant different. Based on the results of this study, it is concluded that the Fodder beet Kulumsa cultivars was found a promising in terms of grain and biomass yield, than others that could be demonstrated and popularized as an alternative feed resources under smallholder conditions in the study areas and with similar climatic and edaphic conditions.

Evaluation of Frost Tolerance in Sugar Beet Cultivars During Early Growth Stages

AbstractLate spring frost is the most hazardous abiotic stress affecting the survival of sugar beet seedlings. Therefore, it is very important to identify frost-tolerant cultivars during the early seedling development stage. In the study, the physiological and morphological responses of ten sugar beet cultivars (Ernestina, Isabella, Orthega, Serenada, Kuno, Taurus, Tuna, Mohican, Rodeo, and Smılodon) to frost stress at different growth stages (V1.1, V2.1, and V3.1) were evaluated. Seedlings were exposed to − 3 °C for 2 h at all stages. Percent damage (%), leaf chlorophyll content (SPAD), leaf surface temperature (°C), electrolyte leakage (%), leaf relative water content (%), and turgidity loss (%) were examined. The results showed that higher damage percentages were observed in earlier growth stages of sugar beet, with recorded values of 29.7% in V1.1, 15.4% in V2.1, and 3.6% in V3.1. A great genotypic variation was observed among the cultivars; electrolyte leakage increased from 15.6% in control to 52.6% in frost stress, and higher electrolyte leakage was obtained from frost-stressed plants. The relative water content of leaves increased only at stage V2.1, although frost decreased turgor loss. Sugar beet showed sensitivity to frost in earlier seedling growth stages, but their tolerance levels increased in later growth stages. The study revealed that electrolyte leakage is a reliable indicator for identifying sugar beet cultivars that exhibit tolerance to frost stress during early development.

Inoculum density-dependent, additive effectiveness of fungicides or biofungicides with cultivar resistance for integrated management of Cercospora leaf spot on beet greens

Cercospora leaf spot, caused primarily by Cercospora beticola, is common on red beet wherever this vegetable crop is grown. The effectiveness of a conventional (propiconazole rotated with azoxystrobin) and an organic biofungicide (Bacillus amyloliquefaciens mixed with copper octanoate) program were tested on four cultivars of beet that differed in susceptibility. Three inoculum densities were established by inoculating a 1-m portion of one row, allowing conidia to splash to the adjacent row, and not inoculating the remainer of the plot. Foliar severity was reduced by both fungicide programs compared to the water-treated control, but the conventional fungicides were more effective in the high inoculum area than the organic fungicides. The conventional fungicides also increased the fresh weight of healthy leaves compared to the water control, but the organic fungicides did not differ from the other two treatments. All cultivars except the most resistant one, Bull's Blood, had greater healthy weights in 2022 when the inoculum density was lower than in 2021. Cultivars sorted in the same order of susceptibility regardless of fungicide program. In all treatments, mean weight of diseased individual leaves was greater than healthy leaves. Partial cultivar resistance and fungicides or biofungicides had additive effects for integrated management of Cercospora leaf spot on red beet.

Genome-wide identification, phylogenetic classification of histone acetyltransferase genes, and their expression analysis in sugar beet (Beta vulgaris L.) under salt stress

Main conclusionThis study identified seven histone acetyltransferase-encoding genes (HATs) from Beta vulgaris L. (sugar beet) genome through bioinformatics tools and analyzed their expression profiles under salt stress. Sugar beet HATs are phylogenetically divided into four families: GNAT, MYST, CBP, and TAFII250. The BvHAT genes were differentially transcribed in leaves, stems, and roots of B. vulgaris salt-resistant (Casino) and -sensitive (Bravo) cultivars under salt stress.Histone acetylation is regulated by histone acetyltransferases (HATs), which catalyze ɛ-amino bond formation between lysine residues and acetyl groups with a cofactor, acetyl-CoA. Even though the HATs are known to participate in stress response and development in model plants, little is known about the functions of HATs in crops. In sugar beet (Beta vulgaris L.), they have not yet been identified and characterized. Here, an in silico analysis of the HAT gene family in sugar beet was performed, and their expression patterns in leaves, stems, and roots of B. vulgaris were analyzed under salt stress. Salt-resistant (Casino) and -sensitive (Bravo) beet cultivars were used for gene expression assays. Seven HATs were identified from sugar beet genome, and named BvHAG1, BvHAG2, BvHAG3, BvHAG4, BvHAC1, BvHAC2, and BvHAF1. The HAT proteins were divided into 4 groups including MYST, GNAT (GCN5, HAT1, ELP3), CBP and TAFII250. Analysis of cis-acting elements indicated that the BvHAT genes might be involved in hormonal regulation, light response, plant development, and abiotic stress response. The BvHAT genes were differentially expressed in leaves, stems, and roots under control and 300 mM NaCl. In roots of B. vulgaris cv. Bravo, the BvHAG1, BvHAG2, BvHAG4, BvHAF1, and BvHAC1 genes were dramatically expressed after 7 and 14 days of salt stress. Interestingly, the BvHAC2 gene was not expressed under both control and stress conditions. However, the expression of BvHAG2, BvHAG3, BvHAG4, BvHAC1, BvHAC2 genes showed a significant increase in response to salt stress in the roots of cv. Casino. This study provides new insights into the potential roles of histone acetyltransferases in sugar beet.

Metabolite profiling of triterpene saponins from different red beetroot cultivars using ultra-high performance liquid chromatography high-resolution mass spectrometry

In recent years, there has been increasing interest in the use of red beets as a valuable source of bioactive compounds. Although saponins may be responsible for the pharmacological and nutraceutical activities of red beets, information on the saponin composition of various red beet cultivars is very limited, and the saponin profiles remain to be fully elucidated. Here, we profiled triterpene saponins from the flesh and skin of different red beetroot cultivars, whose names of Polish cv. are Bonel, Chrobry and Nochowski. In addition, the total triterpene saponin contents in cultivars Bonel, Chrobry, Nochowski and in their various root parts were determined. Triterpene saponins isolated from the skin and flesh of different red beetroot cultivars were qualitatively profiled using two high-performance liquid chromatography systems (HPLC-ESI-IT MS and UPLC-HESI-Q-Orbitrap MS). The total triterpene saponin contents in different cultivars were analyzed using high-performance liquid chromatography-tandem mass spectrometry. In total, 40 triterpene saponins were tentatively identified, and among them, 5 compounds were potentially new saponins, not previously reported in red beets. These saponins are new to red beets and were reported in B. vulgaris for the first time. The analyzed cultivars were different in terms of their total saponin content. The results of our study indicated that the variation in the composition of saponins depended on the red beet cultivars and part of the roots. Higher concentrations of these compounds were found in the skins than in the flesh of roots. We developed an analytical strategy to discover and identify triterpene saponins from B. vulgaris L. using a combination of techniques to detect the comprehensive fragmentation pathways of the saponins present at low concentrations in plant material.

Evaluating the stability of modern sugar beet cultivars (Beta vulgaris L.) for introduction in rhizomania-contaminated areas

Evaluating the stability of modern sugar beet cultivars (Beta vulgaris L.) for introduction in rhizomania-contaminated areas

Potential Biological Control Agents against Soft Rot Diseases Caused by Pectobacteria on Some Sugar Beet Cultivars

Sugar beet is one of the most economically important agricultural crops cultivated in many provinces of Turkey. Especially in recent years, there has been an increase in bacterial tuber rot due to factors related to climate change. In preliminary trials, soft rot disease by Pectobacterium caratovorum subsp. caratovorum (Pcc) and Pectobacterium betavasculorum (Pb) were detected predominantly in sugar beets in Central Anatolia. Today, some cultural measures and copper compounds are used against soft rot agents in sugar beet, but successful results cannot be obtained in preventing the disease. In this study, a total of 270 soil samples were taken from the rhizosphere of 10 different fields in 3 different periods in 3 different ecologically diverse districts (Çumra, Altınekin and Seydişehir) of Konya, one of the provinces with the highest amount of sugar beet production in Turkey. As a result of the isolations, a total of 3064 bacterial isolates were purified and 262 of them showed antibacterial activity against Pcc and Pb in vitro conditions. In addition, 15 antagonist bacteria with the highest inhibitory effect on the development of both pathogens were tested in greenhouse conditions, and according to the results obtained from here, 3 antagonists with the highest effect were tested in field conditions in the cultivation areas of 3 different districts named above. Biochemical, morphological and molecular diagnoses of antagonist bacteria with high efficacy were made. According to the results obtained, it has been concluded that rhizospheric bacteria with antagonistic effect have a success rate of 33-90% against Pcc and Pb pathogens, and that the biological products to be prepared in future studies can be used in ecological, climate friendly and within sustainable agricultural practices in sugar beet production areas.

Genomic characterization of a nematode tolerance locus in sugar beet

BackgroundInfection by beet cyst nematodes (BCN, Heterodera schachtii) causes a serious disease of sugar beet, and climatic change is expected to improve the conditions for BCN infection. Yield and yield stability under adverse conditions are among the main breeding objectives. Breeding of BCN tolerant sugar beet cultivars offering high yield in the presence of the pathogen is therefore of high relevance.ResultsTo identify causal genes providing tolerance against BCN infection, we combined several experimental and bioinformatic approaches. Relevant genomic regions were detected through mapping-by-sequencing using a segregating F2 population. DNA sequencing of contrasting F2 pools and analyses of allele frequencies for variant positions identified a single genomic region which confers nematode tolerance. The genomic interval was confirmed and narrowed down by genotyping with newly developed molecular markers. To pinpoint the causal genes within the potential nematode tolerance locus, we generated long read-based genome sequence assemblies of the tolerant parental breeding line Strube U2Bv and the susceptible reference line 2320Bv. We analyzed continuous sequences of the potential locus with regard to functional gene annotation and differential gene expression upon BCN infection. A cluster of genes with similarity to the Arabidopsis thaliana gene encoding nodule inception protein-like protein 7 (NLP7) was identified. Gene expression analyses confirmed transcriptional activity and revealed clear differences between susceptible and tolerant genotypes.ConclusionsOur findings provide new insights into the genomic basis of plant-nematode interactions that can be used to design and accelerate novel management strategies against BCN.