Quality Of Beet Research Articles

Effect of integrated nutrient management on growth, yield and quality of spinach beet (Beeta vulgaris var. bengalensis)

Effect of integrated nutrient management on growth, yield and quality of spinach beet (Beeta vulgaris var. bengalensis)

The role of zeolite and mineral fertilizers in enhancing Table Beet (Beta vulgaris L.) productivity in dark chestnut soils of Southeast Kazakhstan

This study evaluated the effectiveness of zeolite, both alone and in combination with mineral fertilizers, in improving the yield and quality of table beets (Beta vulgaris L.) grown in dark chestnut soils of southeast Kazakhstan. The research was conducted at the Kazakh Research Institute of Horticulture during the 2022-2023 growing seasons using a randomized complete block design with six treatments: control (no fertilizers), zeolite 2 t/ha, N45P45K45 (single dose of mineral fertilizers), N90P90K90 (double dose of mineral fertilizers), zeolite 2 t/ha + N45P45K45, and zeolite 2 t/ha + N90P90K90, replicated three times. The application of zeolite significantly improved soil physical properties, such as water permeability and soil density, enhancing root development and water retention. Nutrient availability, particularly nitrate nitrogen and mobile phosphorus, increased significantly in zeolite-treated plots. The combination of zeolite and mineral fertilizers resulted in the highest improvements, with nitrate nitrogen content reaching 40.5 mg/kg and mobile phosphorus 89.2 mg/kg. Moreover, zeolite reduced heavy metal concentrations, particularly cadmium, by 50% compared to the control. Table beet yield significantly increased with zeolite application, with the highest yield of 62.7 t/ha achieved with 2 t/ha zeolite combined with double dose N90P90K90 fertilizers, compared to 42.8 t/ha in the control. Marketable yield also improved, indicating better crop quality. Nutrient composition of the beets improved, with increased dry matter content (21.9%) and reduced nitrate content (240 mg/kg) in zeolite-treated variants. In conclusion, zeolite, especially when combined with mineral fertilizers, effectively enhances soil health, nutrient availability, and table beet yield and quality.

Pre-harvest application of sodium nitroprusside enhances storage root quality in red beet cultivated under normal and drought conditions.

The role of nitric oxide (NO) in plant stress tolerance, as well as in increasing post-harvest quality, has been extensively demonstrated in several fruits and vegetable crops; however, the effects of its pre-harvest application on post-harvest quality are still poorly documented. Therefore, the pre-harvest application of NO in red beet (Beta vulgaris subsp. vulgaris) plants cultivated under well-watered and drought conditions was evaluated to assess whether it improves the post-harvest quality of their storage roots. Red beet plants cultivated under well-watered (80% of water holding capacity) or drought condition (15% of water holding capacity) were sprayed weekly with water (control) or 100 μmol L-1 sodium nitroprusside (SNP), an NO donor. Sixty-six days after sowing, red beet roots were harvested, and root yield, total sugar yield, reducing sugars, non-reducing sugars, proteins, lipids, root ashes, root moisture, soluble solids, titratable acidity, pH, vitamin C, total phenolics, total betalains, betacyanins, betaxanthins and antioxidant capacity were determined. While drought led to a reduction in root yield, sugars, lipids and titratable acidity, it increased phenolic compounds, betalains and the antioxidant capacity of beets. SNP reversed the negative effects of drought on sugar, lipid and organic acid contents and increased antioxidant capacity independent of stress. Pre-harvest SNP treatment reversed drought-induced yield reductions in beets, while boosting bioactive compounds and antioxidant capacity. It also enhanced vitamin C content independently, indicating its dual role in stress mitigation and beet quality improvement. Future research should explore other crops and stress conditions. © 2024 Society of Chemical Industry.

Genome-Wide Identification of GRAS Transcription Factors and Their Functional Analysis in Salt Stress Response in Sugar Beet.

GAI-RGA-and-SCR (GRAS) transcription factors can regulate many biological processes such as plant growth and development and stress defense, but there are few related studies in sugar beet. Salt stress can seriously affect the yield and quality of sugar beet (Beta vulgaris). Therefore, this study used bioinformatics methods to identify GRAS transcription factors in sugar beet and analyzed their structural characteristics, evolutionary relationships, regulatory networks and salt stress response patterns. A total of 28 BvGRAS genes were identified in the whole genome of sugar beet, and the sequence composition was relatively conservative. According to the topology of the phylogenetic tree, BvGRAS can be divided into nine subfamilies: LISCL, SHR, PAT1, SCR, SCL3, LAS, SCL4/7, HAM and DELLA. Synteny analysis showed that there were two pairs of fragment replication genes in the BvGRAS gene, indicating that gene replication was not the main source of BvGRAS family members. Regulatory network analysis showed that BvGRAS could participate in the regulation of protein interaction, material transport, redox balance, ion homeostasis, osmotic substance accumulation and plant morphological structure to affect the tolerance of sugar beet to salt stress. Under salt stress, BvGRAS and its target genes showed an up-regulated expression trend. Among them, BvGRAS-15, BvGRAS-19, BvGRAS-20, BvGRAS-21, LOC104892636 and LOC104893770 may be the key genes for sugar beet's salt stress response. In this study, the structural characteristics and biological functions of BvGRAS transcription factors were analyzed, which provided data for the further study of the molecular mechanisms of salt stress and molecular breeding of sugar beet.

Integrating compost and foliar boron nutrition with mineral nitrogen fertilization improves productivity, quality, and nutrient acquisition of sugar beet

Integrating compost and foliar boron nutrition with mineral nitrogen fertilization improves productivity, quality, and nutrient acquisition of sugar beet

Effects of Spraying Allantoin at Different Stages on Inorganic Nitrogen Assimilation, Endogenous Hormones, Yield, and Quality of Sugar Beet in Saline-Alkali Land

Effects of Spraying Allantoin at Different Stages on Inorganic Nitrogen Assimilation, Endogenous Hormones, Yield, and Quality of Sugar Beet in Saline-Alkali Land

Evaluation of rhizomania infection on sugar beet quality in multi-year field assessment.

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.

Effects of Continuous Cropping and Application of Bio-organic Fertilizers on Growth, Yield and Quality of Sugar Beet under Reduced Chemical Fertilizer Application

Effects of Continuous Cropping and Application of Bio-organic Fertilizers on Growth, Yield and Quality of Sugar Beet under Reduced Chemical Fertilizer Application

AMMI and GGE biplot analysis for genotype × environment interactions affecting the yield and quality characteristics of sugar beet.

Sugar beet, an important sugar crop, contributes significantly to the world's sugar production. However, genotype-environment interactions (GEI) often affect the quality characteristics of sugar beet. Hence, understanding the effects of GEI on sugar beet quality can aid in identifying high-quality genotypes that can adapt to different environments. Traditional variance analysis can only be used to examine the yield of a variety and not its specific adaptability to specific conditions. Therefore, more comprehensive analytical methods are required to evaluate the characteristics of the variety under specific environments. Additive main effects and multiplicative interaction (AMMI) and genotype main effect and genotype × environment interaction (GGE) biplot models can be employed to comprehensively evaluate different varieties and address the drawbacks associated with a single evaluation method. Moreover, these models also allow us to explore new varieties more objectively and comprehensively. In this study, the adaptability and stability of 16 sugar beet varieties, in terms of yield and sugar content, were evaluated using AMMI and GGE biplot analysis in seven pilot projects undertaken in 2022. In the assessment of a small but significant proportion of the total GEI variance for the two qualitative traits (yield and sugar content), 80.58% of the variance was explained by the cumulative contribution of IPC1, IPC2, and IPC3. AMMI and GGE biplots clearly highlighted that KWS4207 (G3) exhibited high and stable quality. They also demonstrated that the experiments in Jalaid Banner (Inner Mongolia) (E7) were the most representative. Together, the results suggested that the comprehensive application of AMMI and GGE biplot analysis allowed for a more comprehensive, scientific, and effective evaluation of sugar beet varieties across different regions. The findings offer a theoretical basis for sugar beet breeding and could guide the rational design of experiments for testing new varieties of sugar beet.

Effect of sowing dates and geometrical distribution-based planting densities on the yield and quality of sugar beet

Effect of sowing dates and geometrical distribution-based planting densities on the yield and quality of sugar beet

Estimating Chlorophyll Content, Production, and Quality of Sugar Beet under Various Nitrogen Levels Using Machine Learning Models and Novel Spectral Indices

Accurately estimating crop performance under various fertilizer levels in a rapid and non-destructive manner has become a vital aspect of precision agriculture technology for both economic and environmental benefits. This study aimed to estimate different sugar beet parameters, such as total chlorophyll (Chlt), chlorophyll a (Chla), chlorophyll b (Chlb), root yield (RY), sugar yield (SY), and sugar content (SC) under five nitrogen (N) levels (0, 30, 60, 90, and 120 kg N ha−1). This was achieved by using a combination of the gradient boosting regression (GBR) model with published and newly developed two- and three-band spectral indices (2D- and 3D-SRIs). The results showed that the N levels had the highest proportion of variations (80.4–92.9%) for all parameters, except for SC, which had more variation (59.9%) according to year than the N levels (37.2%). All parameters, except SC, showed a significant increase with gradually increasing N levels. Additionally, the N levels displayed linear and strong positive relationships with the chlorophyll parameters, and linear and strong negative relationships with SC, while these relationships were quadratic and strong with RY and SY. Several published and novel 3D-SRIs exhibited moderate to strong relationships (R2 = 0.65–0.89) with all parameters. The newly developed 3D-SRIs, which involve wavelengths from the visible, near-infrared, and red-edge regions, such as NDI536, 538, 534, NDI738, 750, 542, and NDI448, 734, 398, were effective in accurately estimating all parameters. Combining 2D-SRIs, 3D-SRIs, and the aggregate of all spectral indices (ASRIs) with GBR models could be a robust strategy for estimating the six observed parameters with reasonable precision. The GBR-ASF-6 SRIs and the GBR-ASF-7 SRIs models performed better in predicting Chl content and SC with R2 values of 0.99 and 0.99 (RMSE = 0.073 and 1.568) for the training dataset and R2 values of 0.65 and 0.78 (RMSE = 0.354 and 6.294) for the testing datasets, respectively. The obtained results concluded that published and newly developed 3D-SRIs, GBR based on 2D-SRIs or 3D-SRIs, and the aggregate of all ASRIs can be used in practice to accurately estimate the Chl content, production, and quality of sugar beet across a wide range of N levels under semiarid conditions.

Green waste-derived compost (GWC) alleviates drought stress and promotes sugar beet productivity and biofortification

ABSTRACT Green waste-derived compost (GWC) is a valuable soil amendment for improving soil organic matter and decreasing waste products and potential pollutants. The study was carried out to evaluate the effect of GWC application on the yield and quality of sugar beet under deficit irrigation conditions using different irrigation systems. A field experiment was conducted using the commercial sugar beet variety Gazelle in sandy soil. Two doses (0 and 14 t ha−1) of GWC were applied to the soil. Three water deficiency levels (60, 80 and 100% of the soil field capacity) under either drip and sprinkler irrigation systems were applied. The application of 14 ton ha−1 of GWC resulted in the highest root and recoverable sugar yields, especially under the well-irrigated conditions under drip irrigation. Sugar beet root biofortification and juice quality were also significantly improved under drip irrigation in response to the application of 14 ton ha−1 of GWC by increasing sucrose content, quality index (Qz)% and recoverable sugar (RS)%. The application of GWC under drip irrigation enhanced water use efficiency for root (WUERY) and recoverable sugar yields (WUERSY), in particular under drip irrigation and water deficit conditions (60% of the soil field capacity). The soil physicochemical properties were significantly improved in response to the application of GWC. GWC application promoted the yield and biofortification of sugar beet by improving the soil physiochemical properties, and nutrient mobilization and uptake. The application of GWC is essential for sustainable sugar beet production and efficient irrigation water use in sandy soils.

Leaf production and quality of sea beet (Beta vulgaris subsp. maritima) grown with saline drainage water from recirculating hydroponic or aquaculture systems

The application of greenhouse soilless culture (or hydroponics) and recirculating aquaculture system (RAS) is rapidly growing worldwide as these technologies provide controlled growing conditions for crop plants and aquatic organisms, thus enhancing productivity. The wastewater from RAS and hydroponics is generally rich in many essential plant nutrients and could be reused for crop irrigation, thus reducing the costs for both wastewater treatment and fertilizers. Many wild edible plant species are salt-tolerant glycophytes or halophytes and hence are suitable for cultivation with saline wastewater in cascade cropping systems or decoupled aquaponic systems.The goal of this work was to investigate the effects of drainage water from semi-closed substrate plant culture or saltwater RAS on leaf production and quality of sea beet plants (Beta vulgaris subsp. maritima) grown hydroponically in a greenhouse. Two experiments were conducted in autumn with plants cultivated in a floating raft system to compare five different nutrient solutions: standard nutrient solution (CNS, control; EC 2.80 dS m−1, Na 0.7 mM); the effluent from a semi-closed substrate culture of tomato used as such (tomato effluent 100%, TE100; EC 6.49 dS m−1, Na 34.9 mM) or diluted (50:50) with CNS (tomato effluent 50%, TE50; EC 4.50 dS m−1, Na 17.8 mM); the effluent from a saltwater RAS with gilthead sea bream, used as such (aquaculture effluent 100%, AE100; EC 42.00 dS m−1, Na 408.6 mM) or diluted (50:50) with CNS (aquaculture effluent 50%, AE50; EC 25.40 dS m−1, Na 204.6 mM).In both experiments, leaf production was significantly reduced in plants grown with AE50 (−46.8%, on average) and AE100 (−70.4%, on average) compared to CNS; on the contrary, no or minor differences were found between CNS, TE50 and TE100 plants. The reduction of crop yield was due to the higher salinity and not to abnormal concentration of some mineral nutrients in AE. In the first experiment, the use of TE and AE also resulted in higher leaf antioxidant capacity and concentration (both expressed on a fresh weight basis) of total chlorophylls, carotenoids, flavonoids, and phenols. In both experiments, leaf concentration of Na and oxalate (both total and soluble) significantly increased with the salinity of the nutrient solution. Due to the less favourable light conditions, leaf nitrate concentration was much higher in the second experiment than in the first one, regardless of the nutrient solution.In conclusion, sea beet could be grown using hydroponic wastewater with moderate salinity with no or minor effect on leaf production and quality. In contrast, the use of highly saline aquaculture effluents markedly reduced crop yield and negatively affected leaf quality due to increased concentration of sodium, oxalate, and nitrate. In general, sea beet leaves were high in oxalate and their consumption should be limited.

Performance efficiency of some biocontrol agents on controlling Cercospora leaf spot disease of sugar beet plants under organic agriculture system

This investigation was carried out on commercial organic field in the Fayoum Governorate of Egypt under conditions of natural infection, 2020/2021 and 2021/2022 to evaluate the effectiveness of four commercial biocides—Blight Stop (Trichoderma harzianum), Bio Zeid (T. album), Root Guard (Bacillus subtilis), and Bio ARC (B. megaterium)—as well as, four biocontrol agents (T. harzianum, T. album, B. subtilis, and B. megaterium) in controling Cercospora beticola Sacc, the main causal of Cercospra leaf spot (CLS) disease on sugar beet in an organic farming systems. All biocontrol agents and commercial biocides sprayed at the recommended dose in a two spray regime with 15 days between sprays, were significantly reduced Cercospora beticola, total amino acid and juice impurities (K, Na and α-a N %) in comparison to control treatment. All bioagents and biocides put to the test resulted in a significant rise in phenolic compound values, total chlorophyll, sucrose (%), purity (%), root, top and sugar yield quality of sugar beet during both seasons. Spraying Blight Stop was the most effective treatment followed by T. harzianum. B. megaterium was the least effective biocide treatment compared with the control treatment during the two growing seasons.

Influence of compost type, nitrogen fertilizer level and micronutrients on growth, productivity and quality of sugar beet cultivated in sandy soil

Influence of compost type, nitrogen fertilizer level and micronutrients on growth, productivity and quality of sugar beet cultivated in sandy soil

Zinc amendment increases the yield and industrial quality of Beta vulgaris L. cultivated in Northeast China

The sugar beet (Beta vulgaris L.) is a major industrial crop in Northeast China, but long-term or recurrent cultivation practices with low zinc (Zn) inputs have resulted in a decline in its cumulative yield and industrial quality. Hence, Zn fertilization is gaining interest in the commercial production of sugar beets; however, the efficacy and mechanism of Zn in enhancing the yield and industrial quality of sugar beets remain underexplored. A field experiment was conducted for two consecutive years (2019 and 2020) in black and albic soils of Northeast China with three levels of Zn fertilizer (0 kg ha−1, 30 kg ha−1, and 60 kg ha−1) using sugar beet cv. KWS1176. The application of Zn improved the photosynthetic performance and biomass of sugar beets and promoted the accumulation of dry matter in the roots. Zinc fertilization remarkably increased the sugar beet root yield in black and albic soils by 14.50% and 5.75%, respectively. Furthermore, the K and Na contents decreased in sugar beet roots cultivated in both soil types by augmenting Zn, whereas the sugar content increased significantly. The application of Zn considerably increased the biological sugar and white sugar yield by 15.25%, and 16.71% on average in black soil and 6.75% and 5.90% in albic soil, respectively. Correlation analysis showed that the root and white sugar yields were closely related to Zn accumulation in sugar beet roots. The amendment of cultivable lands with Zn fertilizer, preferably at a rate of 30 kg ha−1, is an effective strategy to simultaneously improve the root yield and quality of sugar beets, with better efficacy in black soils than in albic soils. Our findings provide a scientific basis for nutrient management in sugar beet planting and a step forward toward the sustainable development of the sugar industry.

Effect of irrigation with magnetized water and spraying boron-sugar alcohol complex on yield and quality of sugar beet under west-west El-Minya conditions

Effect of irrigation with magnetized water and spraying boron-sugar alcohol complex on yield and quality of sugar beet under west-west El-Minya conditions

Productivity and Quality Variations in Sugar Beet Induced by Soil Application of K-Humate and Foliar Application of Biostimulants Under Salinity Condition

Abiotic stresses are the most major limitation to crop production, causing yield losses up to 50%, and consider the major challenges for production of crops. Thus, an experiment was conducted to determine how sugar beet would respond to soil application of K-humate rates and foliar application of biostimulants under salt stress. Split-plot design in three replicates was used in both seasons, where K-humate rates fertigation (control, 12, and 24 kg ha−1) allocated in the main plots, and different foliar application of BS arranged within the subplot (i.e., (1) water spray, (2) salicylic acid (SA) at the rate of 100 mg L−1, (3) fulvic acid (FA) at the rate of 1.2 kg ha−1, (4) hydroxyproline (HP) 1000 mg L−1, (5) SA at 100 mg L−1 + FA at 1.2 kg ha−1, (6) SA at 100 mg/L + HP at 1000 mg L−1, (7) FA at 1.2 kg ha−1 + HP at 1000 mg L−1, (8) SA 100 mg L−1 + FA 1.2 kg ha−1 + HP 1000 mg L−1) in the two seasons. The finding results revealed that soil application of K-humate, foliar application of BS, and their interaction significantly affected yield, growth, and quality characteristics of sugar beet under soil salinity, furthermore with soil application of K-humate at the rate of 24 kg ha−1 with foliar spray of FA + HP recorded the highest of growth traits, top, root, sucrose %, sugar yields/ha−1 and the lowest values of Na content in the juice and quality of sugar beet under the study conditions, Alexandria, Egypt.

Effect of nitrogen and boron fertilization on the productivity and quality of sugar beet

Effect of nitrogen and boron fertilization on the productivity and quality of sugar beet

The effect of planting scheme and fertilizer rates on the quality of sugar beet

Sugar beet is a crop of huge national economic importance. The beetroot plant shows great sensitivity to the abiotic factors especially to fertility of the soil. The lack of nutrients in the soil where this plant is grown weakens its normal development and significantly reduces its yield. Therefore, the present research work was planned to assess the impact of planting schemes and mineral fertilizer norms on the quality production of sugar beet. Research works were carried out in 2021-2022 with Caucasian variety of sugar beet on irrigated gray-brown soils. The field experiments were laid out under different plnating schemes and fertilizer application rates. In case of 50x20 cm planting scheme without fertilizer (control); dry matter 21.4%, sugar 15.6%, protein 5.38%, fat 0.61%, cellulose 5.69%, ash 4, 46% and nitrate nitrogen 147.5 mg/kg in wet mass, respectively were recorded in background (P120K90) variant; 15.9%; 5.85%; 0.65%; 5.77%; 4.53% and 163.8 mg/kg.The quality indicators of sugar beet, as well as root and fruit crops, increased significantly compared to the control and background (P120K90) variants in the increased rates of nitrogen fertilizer along with the background. The highest quality indicators were observed in the background+N90 variant, respectively 24.9%; 17.9%; 6.21%; 0.76%; 6.05%; 4.71% and 183.0 mg/kg. In the 50x20 cm planting scheme, which has more food space, the quality indicators were higher in each of the studied options than in the 50x10 cm and 50x15 cm planting schemes, depending on the mineral fertilizer norms. 0.8-3.5% dry matter, 0.3-2.3% sugar, 0.47-0.83% protein, 0.04-0.15% fat, cellulose 0.08-0.36%, ash by 0.07-0.25% and nitrate nitrogen increased by 16.3-45.7 mg/kg in wet weight. The amount of nitrates in the root fruits of sugar beet was much less than the permissible limit (250 mg/kg in wet weight). It is concluded that the highest indicators were obtained in the background+N90 and 50x20 cm planting scheme