Sugar TechPub Date : 2025-02-19DOI: 10.1007/s12355-025-01549-7
Marvellous Zhou
{"title":"Cultivar Genetic Gains from 95 Years of Sugarcane Breeding and Implications on Sugarcane Production in South Africa","authors":"Marvellous Zhou","doi":"10.1007/s12355-025-01549-7","DOIUrl":"10.1007/s12355-025-01549-7","url":null,"abstract":"<div><p>Cultivar genetic gains determine the efficiency of plant breeding and measure genetic improvements and effectiveness of recurrent breeding and selection cycles. South Africa Sugarcane Research Institute was established in 1925 to develop cultivars adapted to local growing environments after imported cultivars failed to adapt. The objectives of this study were to determine the genetic gains of South African cultivars developed over 95 years of sugarcane breeding and evaluate implications on progress and future breeding strategies. Data for cane yield, sucrose content, sugar yield, fibre content and purity were analysed using mixed models to compute means and linear regression to determine trends in trait values. Cultivar F-values were four to 16 times larger than cultivar by environment interaction F-values indicating high genetic differences. Cane yield genetic gains were 0.03 to 0.35 t/ha/year for irrigated, 0.19 to 0.48 (coastal) and 0.39 to 0.43 (midlands), while those for sugar yield ranged from 0.01 to 0.08 (irrigated), 0.03 to 0.07 (coastal) and 0.06 to 0.07 (midlands). The fibre % genetic gains were negative for irrigated and 0.02 to 0.06 for coastal and midlands. Sucrose % and purity % produced non-significant genetic gains indicating need to review breeding strategy. The new cultivars produced 12 to 17% (irrigated), 8 to 20% (coastal) and 16% (midlands) higher cane yield than old cultivars and 3 to 16% (irrigated), 8 to 22% (coastal) and 14 to 17% (midlands) higher sugar yields. The genetic gains for sugar yield were similar to those for cane yield. Planting new cultivars will increase sugar production by up to 22% in South Africa.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"965 - 978"},"PeriodicalIF":1.8,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sugar TechPub Date : 2025-02-18DOI: 10.1007/s12355-025-01553-x
Koç Mehmet Tuğrul
{"title":"Early Detection of Sugar Beet Cercospora Leaf Spot Disease Using Machine Learning-Assisted Thermal Image Processing Method","authors":"Koç Mehmet Tuğrul","doi":"10.1007/s12355-025-01553-x","DOIUrl":"10.1007/s12355-025-01553-x","url":null,"abstract":"<div><p>Early diagnosis of diseases in agriculture is an important factor in reducing the negative environmental impacts by effectively and economically managing the losses caused by these diseases and reducing the use of chemicals. There are different options within the scope of remote sensing for the early detection of diseases. Among these, choosing a method that can detect diseases accurately without harming the plant and the environment is important. Today, positive developments have been made toward non-invasive and effective detection of diseases with thermal camera-based image processing techniques. In this context, there is potential for disease detection with data collection, image processing, and the determination of the characteristics of disease agents through thermal imaging. The research was based on Cercospora leaf spot (<i>Cercospora beticola Sacc.</i>) diseases which have significant economic loss potential in sugar beet. The effectiveness of the proposed method was evaluated in experiments involving <i>Cercospora beticola</i>, utilizing a climate station early warning system and UAV-based thermal images across three subjects and six replicate field trial plots. Analyses were made for the early detection of diseases by comparing thermal images taken from the field with multispectral images taken simultaneously. It was investigated whether it was possible to diagnose the disease early before physical symptoms were seen using image processing and machine learning methods. The variability of leaves was analyzed using field images, thermal images, and machine learning algorithms. Thermal imaging enables the rapid detection of potential disease development by measuring increases in leaf temperature in infrared wavelengths. However, a significant limitation of this method in practice is its sensitivity to climate factors such as air temperature and humidity, which can cause rapid fluctuations in the index. This study compared five machine learning algorithms based on four key metrics. MS imaging achieved about 25% higher accuracy in predicting early disease than TE imaging. This study indicates that thermal imaging provides valuable information but is not as effective as multispectral imaging in detecting early-stage stress factors related to diseases.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"954 - 964"},"PeriodicalIF":1.8,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12355-025-01553-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sugar TechPub Date : 2025-02-14DOI: 10.1007/s12355-025-01551-z
Gurwinder Kaur, Harpreet Kaur Oberoi, Maninder Kaur, A. V. Umakanth
{"title":"Redox Metabolism Stimulation in Bioethanol Sorghum Under Water Deficit Stress","authors":"Gurwinder Kaur, Harpreet Kaur Oberoi, Maninder Kaur, A. V. Umakanth","doi":"10.1007/s12355-025-01551-z","DOIUrl":"10.1007/s12355-025-01551-z","url":null,"abstract":"<div><p>Rainfed conditions affect sorghum’s different growth stages and result in reduced biomass yield. In the present investigation, influence of water deficit stress on redox metabolism was studied in two BMR (CSV 43 and SPV 2017) and two non-BMR (CSV 15 and SPV 462) sorghum genotypes at 45, 55, 65, and 75 days after sowing (DAS). The membrane stability index i.e., malondialdehyde (MDA), antioxidative enzymes, total antioxidant potential, phenylalanine ammonia lyase (PAL), tyrosine ammonia lyase (TAL), polyphenol oxidase(PPO), and phenolic compounds were studied under rainfed conditions that created water deficit stress. Higher SOD, POX, CAT, and total antioxidant potential (FRAP, DPPH, TRP, and HFRS) were observed under rainfed conditions with lower H<sub>2</sub>O<sub>2</sub> and MDA content in BMR genotypes over the non-BMR genotypes. Rainfed conditions increased the PAL, TAL activity, and phenolic compounds in BMR genotypes compared to non-BMR genotypes. The redox homeostasis was well established during the stress in BMR genotypes (CSV 43 and SPV 2017) compared to non-BMR sorghum genotypes (CSV 15 and SPV 462) by maintaining higher antioxidants counteracting the negative impact of rainfed conditions, and therefore, scrutiny of present data indicates that BMR sorghum, that is now-a-days used mostly for bioethanol production, may perform better under water deficit conditions.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"925 - 938"},"PeriodicalIF":1.8,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development and Optimization of an Integrated Disk-Blade Silage Device for Efficient Cane Top Collection and Processing","authors":"Peng Huo, Shaochun Ma, Baocheng Zhou, Wenzhi Li, Changyu Wang, Wei Liu, Sha Yang, Junhua Liu","doi":"10.1007/s12355-025-01546-w","DOIUrl":"10.1007/s12355-025-01546-w","url":null,"abstract":"<div><p>To address the cane tops waste and collection machinery shortage, a disk-blade silage device was developed and integrated into a sugarcane harvester. This device enables simultaneous cutting, crushing, and ejection of cane tops. Guided by a theoretical model, key components were designed, and discrete element method simulation determined the optimal crushing speed as 1400 r/min and 12 blades as the best blade count. Compared with previous studies, this device features innovative structural design and working principle, which significantly improves the efficiency of cane tops processing. Field tests and simulations verified its effectiveness, achieving over 90% collection rate, 97% crushing efficiency, and an average throwing distance of 5.5 m, fulfilling the experimental parameters and design goals for silage processing.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"910 - 924"},"PeriodicalIF":1.8,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sugar TechPub Date : 2025-02-14DOI: 10.1007/s12355-025-01544-y
P. Subramanian, R. Mahendiran, B. Prabha, Gitanjali Jothiprakash, Ramesh Desikan, Bhargav Vinod Kumar, K. C. Pandey, Bhim Sen Pathak
{"title":"Appraisal on Energy Coefficients in Energetic Analysis of Agricultural Production System and Energetic Assessment on Sugarcane production","authors":"P. Subramanian, R. Mahendiran, B. Prabha, Gitanjali Jothiprakash, Ramesh Desikan, Bhargav Vinod Kumar, K. C. Pandey, Bhim Sen Pathak","doi":"10.1007/s12355-025-01544-y","DOIUrl":"10.1007/s12355-025-01544-y","url":null,"abstract":"<div><p>Assessment on energy consumption pattern and energy analysis is carried out to identify and implement energy conservation measures in agriculture to reduce the cost of cultivation. Embodied energy of agricultural inputs and outputs is studied using energy coefficients. Considering the modernization in all the processes and systems, the necessity on revaluation of energy coefficients is understood for on-target and precise energy analysis in agriculture. Hence, the energy coefficients followed for the past few decades were appraised through appropriate calculations considering the amelioration of production and related processes. The rederived energy coefficients were evaluated through energy analysis in sugarcane cultivation. A preliminary and detailed energy audit on energy consumption in sugarcane cultivation was carried out in Orathur village, Villupuram district, Tamil Nadu, India. Various operational energy consumptions (land development, land preparation, planting, fertilizer application, irrigation, weeding, earthing-up, detrashing, harvesting, and transportation) and source-wise energy consumption (human power, fertilizer, mechanical energy, electrical energy, and fuel) were calculated by existing and rederived energy coefficients. From the energy audit, it is observed that irrigation was the most energy-consuming agricultural operation with 55 to 67% of total operational energy input. The other major energy sources in sugarcane cultivation were found to be seed (80—81%) and fertilizer (16%). These results show the effectiveness and relevance of rederived energy coefficients for assessing and optimizing energy inputs and output in sugarcane cultivation. Energy analysis in agricultural system helps to move agriculture closer toward sustainability by optimizing the energy usage and increased energy efficiency.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"939 - 953"},"PeriodicalIF":1.8,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sugar TechPub Date : 2025-02-12DOI: 10.1007/s12355-025-01547-9
Bingchen Zou, Tai Li, Yonglong Liu, Zeyuan Cui, Lihua Yu, Gui Geng, Jiahui Liu, Yao Xu, Yuguang Wang
{"title":"Isolation and Identification of Plant Growth-Promoting Endophytes Bacteria Highly Effective in Suppressing Damping-off in Sugar Beet","authors":"Bingchen Zou, Tai Li, Yonglong Liu, Zeyuan Cui, Lihua Yu, Gui Geng, Jiahui Liu, Yao Xu, Yuguang Wang","doi":"10.1007/s12355-025-01547-9","DOIUrl":"10.1007/s12355-025-01547-9","url":null,"abstract":"<div><p>Sugar beet is an important sugar producing cash crop in the world with high economic value, but the crop faces a great economic loss every year due to damping-off. The concept of interactions produced between plant endophytic bacteria and host plants as an important biological control are gaining importance. In the present study, a strain of sugar beet standoff antagonist was obtained through plate standoff isolation and purification. Morphological observation, comparison of physiological and biochemical characteristics, and 16S rRNA gene sequences analysis were conducted for the classification and identification of the bacterial strain. The strain <i>sb-13</i> was identified as <i>Bacillus altitudinis</i>. Through potting experiments, the growth of sugar beet inoculated with and without <i>sb-13</i> was compared to analyze the effect of the endophytic bacteria on the growth of sugar beet, and it was found that the bacterium has the properties of promoting plant growth such as solubilizing phosphorus and dissolving potassium and enhancing the ability of soil enzyme activity. The experimental results showed that the growth of sugar beet inoculated with <i>sb-13</i> was significantly better than that of the control group, and its physiological and biochemical indicators were significantly improved. In the anti-blight experiment, it was found that the bacterium antagonist had the ability to possess cellulose degradation and pectinase, and the incidence rate of sugar beet damping-off inoculated with <i>sb-13</i> was significantly lower than that of the control group. This study provides a new idea for the biological control of sugar beet damping-off.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"898 - 909"},"PeriodicalIF":1.8,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sugar TechPub Date : 2025-02-10DOI: 10.1007/s12355-025-01541-1
Kun Fang, Pei Li, Xiangrui Huang, Shengmei Gan, Yihan Li, Hanbing Wang
{"title":"Recent Advances in the Adsorption and Mechanisms of Colored Substances in Sugarcane Juice: A Review","authors":"Kun Fang, Pei Li, Xiangrui Huang, Shengmei Gan, Yihan Li, Hanbing Wang","doi":"10.1007/s12355-025-01541-1","DOIUrl":"10.1007/s12355-025-01541-1","url":null,"abstract":"<div><p>Historically, the production of white sugar from sugarcane has been marred by challenges like unsanitary conditions, excessive chemical use, suboptimal quality and yield, and high energy demands. These issues starkly contrast with modern sustainability principles, economy, and environmental consciousness. Green sugar clarification and decolorization techniques, especially adsorption-based method, have demonstrated superior efficiency in removing impurities and pigments while reducing chemical and energy requirements and simplifying operational procedures, making it a remarkably effective method. This review compares the advantages of adsorption process over conventional sugar production techniques with respect to color-forming impurities in sugarcane juice, and highlights recent applications of adsorption in the decolorization of sugarcane juice. In addition, this review explores the theoretical basis on adsorption and mass transfer with the objective of providing a comprehensive theoretical framework and detailed parameters for future color removal in sugarcane juice processing.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"654 - 666"},"PeriodicalIF":1.8,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sugar TechPub Date : 2025-02-04DOI: 10.1007/s12355-025-01533-1
S. Alarmelu, S. Sheelamary, V. Anusheela, R. Arun Kumar, S. Vasantha, Huskur Kumaraswamy Mahadeva Swamy, A. Anna Durai
{"title":"Identification of Drought Tolerance Indicators in Interspecific Hybrid Derivatives of Saccharum spp Using Membership Function Value of Drought Tolerance (MFVD)","authors":"S. Alarmelu, S. Sheelamary, V. Anusheela, R. Arun Kumar, S. Vasantha, Huskur Kumaraswamy Mahadeva Swamy, A. Anna Durai","doi":"10.1007/s12355-025-01533-1","DOIUrl":"10.1007/s12355-025-01533-1","url":null,"abstract":"<div><p>Drought is the foremost factor that severely affects growth, yield, and its yield components, and has a great impact on sugarcane productivity globally. Identification of drought-tolerant sugarcane cultivars is very important to mitigate climate-related risks to sustain productivity. Hence, it is critical to assess the pre-bred material with wide genetic diversity for drought tolerance for exploitation in breeding. Seventy-five hybrids with improved germplasm base of <i>Saccharum officinarum, Saccharum spontaneum </i>and<i> Saccharum robustum</i> were evaluated at ICAR-SBI, Coimbatore, under drought and normal conditions for yield and physiological traits, for their response under drought. The membership function value of drought tolerance (MFVD) of 19 traits was used as a comprehensive index for evaluation and selection of sugarcane drought-tolerant types. Mean value of all the traits except infrared and canopy temperature depression decreased under drought condition. Cane yield, single cane weight, cane height, soil plant analysis development, total chlorophyll, crop canopy, leaf area, total dry matter, and cane volume depicted > 25% decrease under drought. Leaf width had the highest broad sense heritability (0.69), followed by cane diameter (0.61). MFVD is strongly positively correlated with cane yield and its traits, infrared, leaf length, leaf width, total dry matter, and cane volume. Three genotypes, namely 07-776, 06-021, 20-1132, were highly drought tolerant, and 14-27, 01-807, 07-520, 13-455, 14-54, 04-409, 06-013, 13-644, 07-132 were drought tolerant using MFVD. Regression analysis on nine sensitive traits accounted for 93.1% of the total variation and may serve as indicators for screening sugarcane genotypes for drought tolerance. This new pre-breeding gene pool with high genetic diversity can be utilized in breeding climate resilient types of sugarcane.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"860 - 872"},"PeriodicalIF":1.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sugar TechPub Date : 2025-02-04DOI: 10.1007/s12355-025-01538-w
Bruno José Zanchim, Elcio Ferreira Santos, Nikolas Souza Mateus, Nícolas Braga Casarin, André Rodrigues Reis, Francisco Scaglia Linhares, José Lavres
{"title":"Genotype-Specific Physiological Responses of Sugarcane to Potassium Deficiency: Integrating K Nutritional Efficiency, Photosynthesis-Related Parameters and Sugar Partitioning","authors":"Bruno José Zanchim, Elcio Ferreira Santos, Nikolas Souza Mateus, Nícolas Braga Casarin, André Rodrigues Reis, Francisco Scaglia Linhares, José Lavres","doi":"10.1007/s12355-025-01538-w","DOIUrl":"10.1007/s12355-025-01538-w","url":null,"abstract":"<div><p>Potassium (K) nutritional requirements for sugarcane (<i>Saccharum</i> spp.) is relatively high. However, genotypes differ in their K uptake efficiency (KUpE) and use efficiency (KUtE), which shapes differences in plant growth. The study aimed to gain insight into the physiological responses of two sugarcane genotypes (SP90-3414 and SP83-2847) growth under two K concentrations in the nutrient solution (low K = 1.0 mmol L<sup>−1</sup> and adequate <i>K</i> = 6.0 mmol L<sup>−1</sup>). Total leaf area, root growth and photosynthesis-related parameters were not changed in SP83-2847, regardless K supply, while for SP90-3414 under low K supply, these parameters were dramatically decreased. Under either low or adequate K supply, SP83-2847 genotype has higher KUpE and KUtE (K use efficient genotype) relative to SP90-3414, showing similar shoot dry matter yield and shoot K accumulation. Moreover, SP83-2847 plants grown under low K supply showed the highest accumulation of total soluble sugar and sucrose in leaves. The enhanced K accumulation in the shoot (leaves and stem) and sugar content (soluble sugar and sucrose) in the leaves of SP83-2847 cultivar is a physiological strategy to ease K-induced deficiency stress.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"888 - 897"},"PeriodicalIF":1.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Genetic Diversity Analysis of 89 Monogerm Maintainer Lines of Sugar Beet","authors":"Jing-Jing Zhao, Lin-Lin Sun, Zhi Pi, Sheng-Nan Li, Ze-Dong Wu","doi":"10.1007/s12355-025-01545-x","DOIUrl":"10.1007/s12355-025-01545-x","url":null,"abstract":"<div><p>Sugar beet is a kind of sugar crop, and sugar, as one of the strategic reserve materials, is of great significance to national development. China is not the origin of sugar beet, sugar beet monogerm germplasm resources are even less. In this study, we evaluated the genetic diversity of 89 genotypes of sugar beet monogerm maintainer line plants using 21 pairs of SSR primers and 34 pairs of InDel primers; a total of 251 pairs of alleles were obtained, with an average of 5.095 alleles per SSR locus and 4.1176 alleles per InDel locus. Based on 21 pairs of SSR markers determination, the gene flow (Nm) among individuals ranged from 0.0711 to 0.5419, with a mean value of 0.1858; based on 34 pairs of InDel markers determination, the gene flow (Nm) among individuals ranged from 0.0059 to 0.6953, with a mean value of 0.1406. Population structure analysis, cluster analysis, and principal coordinate analysis (PCoA) showed that the 89 sugar beet monogerm germplasm could be classified as two taxa PopI and PopII, which in turn could be divided into two subgroups (A and B). The genetic distances of the 89 sugar beet germplasm ranged from 0.1023 to 0.3930, with the genetic distance between germplasm No. 65 in subgroup A and No. 77 in subgroup B the furthest. Distance was the furthest, and these two germplasm were most suitable for breeding as parents. Analysis of molecular variance (AMOVA, <i>P</i> < 0.001) indicated that the major genetic variation occurred within individuals (98%), while the degree of genetic differentiation between populations (2%) was relatively low. This study provides a theoretical basis for selecting and breeding new varieties with high-quality of monogerm in sugar beet and increasing the number of monogerm maintainer lines in sugar beet.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 3","pages":"873 - 887"},"PeriodicalIF":1.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}