欢迎访问作物学报,今天是

作物学报

• 综述 •    

甘蔗杂交育种的发展现状与展望

王裴林1,2,**,吴期滨1,2,**,甘仪梅1,曹峥英1,赵培方3,刘家勇3,王东姣1,苏亚春2,孙婷婷1,王恒波2,赵婉莹1,张媛媛1,杨本鹏1,*,张跃彬3,*,李杨瑞4,*,阙友雄1,2,*   

  1. 1 热带作物生物育种全国重点实验室 / 中国热带农业科学院热带生物技术研究所, 海南三亚 572024; 2 农业农村部甘蔗生物学与遗传育种重点实验室 / 国家甘蔗工程技术研究中心 / 福建农林大学农学院, 福建福州 350002; 3 热带作物生物育种全国重点实验室 / 云南省农业科学院甘蔗研究所, 云南开远 661699; 4 农业农村部广西甘蔗生物技术与遗传改良重点实验室 / 广西农业科学院甘蔗研究所, 广西南宁 530007
  • 收稿日期:2026-06-11 修回日期:2026-07-20 接受日期:2026-07-20 网络出版日期:2026-07-21
  • 通讯作者: 杨本鹏, E-mail: yangbenpeng@catasitbb.cn; 张跃彬, E-mail: ynzyb@sohu.com; 李杨瑞, E-mail: liyr@gxaas.net; 阙友雄, E-mail: queyouxiong@126.com
  • 基金资助:
    本研究由中国热带农业科学院国家热带农业科学中心科技创新团队项目(CATASCXTD202402), 广西科技计划项目(农业农村领域) (GUIKENONG AB24153001), 热带作物生物育种全国重点实验室项目(NKLTCBCXTD24, NKLTCBCXTD38), 财政部和农业农村部国家现代农业产业技术体系建设专项(CARS-17)资助。

Current status and prospects of sugarcane hybrid breeding

Wang Pei-Lin1,2,**,Wu Qi-Bin1,2,**,Gan Yi-Mei1,Cao Zheng-Ying1,Zhao Pei-Fang3,Liu Jia-Yong3,Wang Dong-Jiao1, Su Ya-Chun2,Sun Ting-Ting1,Wang Heng-Bo2,Zhao Wan-Ying1,Zhang Yuan-Yuan1,Yang Ben-Peng1,*,Zhang Yue-Bin3,*, Li Yang-Rui4,*,Que You-Xiong1,2,*

#br#
  

  1. 1 State Key Laboratory of Tropical Crop Breeding / Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya 572024, Hainan, China; 2 Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs / National Engineering Research Center for Sugarcane / College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China; 3 State Key Laboratory of Tropical Crop Breeding / Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Kaiyuan 661699, Yunnan, China; 4 Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs / Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, Guangxi, China
  • Received:2026-06-11 Revised:2026-07-20 Accepted:2026-07-20 Published online:2026-07-21
  • Supported by:
    This study was supported by the Chinese Academy of Tropical Agricultural Sciences for Science and Technology Innovation Team of National Tropical Agricultural Science Center (CATASCXTD202402), the Guangxi Science and Technology Project (Agricultural and Rural Field) (GUIKENONG AB24153001), the Project of State Key Laboratory of Tropical Crop Breeding (NKLTCBCXTD24, NKLTCBCXTD38), and the China Agriculture Research System of MOF and MARA (CARS-17).

摘要: 甘蔗是我国最重要的糖料作物,贡献了全国90%左右的食糖产量,其中品种改良的科技贡献率高达60%。杂交育种是甘蔗遗传改良的核心途径,百余年来,通过不断重组亲本性状、选择优良后代无性系,推动了高产、高糖、抗病和适应性广等综合性状优良的甘蔗新品种培育。近年来,甘蔗杂交育种已由经验性表型选择,逐步发展为融合种质资源评价、亲本组合设计、开花诱导与花期调控、高通量表型鉴定、分子标记辅助选择和多环境评价的现代育种体系,显著提高了杂交效率、选择精度和多性状聚合能力。未来,基因组学和多组学数据、高通量基因分型、转基因、基因编辑、全基因组选择和人工智能等技术,将作为赋能工具,服务于甘蔗杂交育种中的亲本创制、组合优化、早代筛选、育种值预测和性状定向聚合,推动甘蔗杂交育种在保持“亲本选配-杂交重组-后代选择”核心框架的基础上,向数据驱动、模型预测和反馈优化的精准育种体系发展。本文系统总结了甘蔗杂交育种的历史和现状,提出未来发展策略,旨在为培育兼具高产高糖、抗逆广适、适宜机械化、资源高效利用并具多元利用潜力的甘蔗新品种提供参考。

关键词: 甘蔗, 杂交育种, 分子设计育种, 基因组选择, 智能育种

Abstract: Sugarcane is the most important sugar crop in China, contributing approximately 90% of the national sugar production, and variety improvement accounts for up to 60% of the scientific and technological contribution rate. Hybrid breeding is the core approach for sugarcane genetic improvement. Over the past century, continuous recombination of parental traits and selection of superior progeny clones have promoted the development of new sugarcane varieties with high yield, high sugar content, disease resistance, and broad adaptability. In recent years, sugarcane hybrid breeding has gradually shifted from experience-based phenotypic selection to a modern breeding system integrating germplasm resource evaluation, parental combination design, flowering induction and flowering-time regulation, high-throughput phenotyping, marker-assisted selection, and multi-environment evaluation, thereby significantly improving the hybridization efficiency, selection accuracy, and multi-trait pyramiding capacity. In the future, genomics and multi-omics data, high-throughput genotyping, transgenic technology, genome editing, genomic selection, and artificial intelligence will function as empowering technologies to support the parent development, combination optimization, early-stage selection, breeding value prediction, and targeted trait pyramiding in sugarcane hybrid breeding. These advances will drive sugarcane hybrid breeding toward a precision breeding system characterized by data-driven decision-making, model-based prediction, and feedback optimization, while retaining the core framework of “parental selection-hybrid recombination-progeny selection”. This review systematically summarizes the history and current status of sugarcane hybrid breeding and proposes future development strategies, aiming to provide a reference for developing new sugarcane varieties with high yield and high sugar content, stress resistance and broad adaptability, mechanized production feasibility, efficient resource use, and diversified utilization potential.

Key words: sugarcane, hybrid breeding, molecular design breeding, genomic selection, intelligent breeding

[1] 赵婷婷, 孙婷婷, 王俊刚, 等. 甘蔗育种研究进展. 中国科学(生命科学), 2024, 54: 1814–1832.

Zhao T T, Sun T T, Wang J G, et al. The research progress on sugarcane breeding. Sci Sin Vitae, 2024, 54: 1814–1832 (in Chinese with English abstract).

[2] Waclawovsky A J, Sato P M, Lembke C G, et al. Sugarcane for bioenergy production: an assessment of yield and regulation of sucrose content. Plant Biotechnol J, 2010, 8: 263–276.

[3] 李杨瑞, 梁强, 黄东亮, 等. 桂糖甘蔗品种选育的突破性进展. 农业研究与应用, 2026, 39(3): 323–342.

Li Y R, Liang Q, Huang D L, et al. Breakthroughs in the breeding of Guitang (GT)sugarcane varieties. J Agric Res Appl, 2026, 39(3): 323–342 (in Chinese with English abstract).

[4] FAO. FAOSTAT, FAO statistical databases. 2021. Available online at: http://www.fao.org/faostat/zh/#data/.

[5] Li Y R, Zhang B Q, Song X P, et al. Development of sugar industry in China: R&D priorities for sustainable sugarcane production. Sugar Tech, 2024, 26: 972–981.

[6] Zuin V G, Ramin L Z. Green and sustainable separation of natural products from agro-industrial waste: challenges, potentialities, and perspectives on emerging approaches. Top Curr Chem, 2018, 376: 3.

[7] Matsuoka S. Energy cane: a revolutionary clean energy crop for the transition to a sustainable energy system. Acad Environ Sci Sustain, 2025, 2: 1–17.

[8] Zou W H, Sun T T, Chen Y, et al. Sugarcane ScOPR1 gene enhances plant disease resistance through the modulation of hormonal signaling pathways. Plant Cell Rep, 2024, 43: 158.

[9] Shang X K, Wei J, Liu W, et al. Integrated pest management of sugarcane insect pests in China: current status and future prospects. Sugar Tech, 2025, 27: 299–317.

[10] Li A M, Wu Q B, Yang S L, et al. Dissection of genetic architecture for desirable traits in sugarcane by integrated transcriptomics and metabolomics. Int J Biol Macromol, 2024, 280: 136009.

[11] Stevenson G C. Genetics and Breeding of Sugar Cane. London: Longmans, Green and Co. Ltd., 1965.

[12] Zhang J W, Che J, Ouyang Y D. Engineering rice genomes towards green super rice. Curr Opin Plant Biol, 2024, 82: 102664.

[13] Zheng X M, Wei F J, Cheng C, et al. A historical review of hybrid rice breeding. J Integr Plant Biol, 2024, 66: 532–545.

[14] Parthasarathy N. Origin of noble sugar-canes (Saccharum officinarum L.). Nature, 1948, 161: 608.

[15] D’Hont A, Paulet F, Glaszmann J C. Oligoclonal interspecific origin of ‘North Indian’ and ‘Chinese’ sugarcanes. Chromosome Res, 2002, 10: 253–262.

[16] Sandhu A S, Singh P, Kaur N. Cane productivity and attributes, and yield gaps of different sugarcane (Saccharum officinarum) varieties in south-western Punjab, India. Indian J Agric Sci, 2025, 95: 167–172.

[17] Long W H, Hensley S D, Stafford T J, et al. New method for rating sugarcane varieties for susceptibility to the sugarcane borer in Louisiana. Sugar Bull, 1961, 39: 175–178.

[18] Murianingrum M, Machfud M, Djumali D, et al. Improving growth and productivity of POJ 2878 through biparental crossing. Russ J Agric Socio-Econ Sci, 2024, 155: 118–127.

[19] Zhang J S, Qi Y Y, Hua X T, et al. The highly allo-autopolyploid modern sugarcane genome and very recent allopolyploidization in Saccharum. Nat Genet, 2025, 57: 242–253.

[20] Wang P L, Wu Q B, Wang W Z, et al. Three-chain empowered sugarcane bio-breeding in China. TIL, 2026, 4: 100207.

[21] Wang P L, Wu Q B, Yang B P, et al. From variety improvement to a field management system: dual-path breeding of Zhongtang and Zhongfu for modern sugarcane production. Trop Plants, 2026, 5: e013.

[22] Huang Y M, Zhang Y X, Zhang Q, et al. Multiscale pangenome graphs empower the genomic dissection of mixed-ploidy sugarcane species. Science, 2026, 391: eadx1616.

[23] Lu G L, Liu P R, Wu Q B, et al. Sugarcane breeding: a fantastic past and promising future driven by technology and methods. Front Plant Sci, 2024, 15: 1375934.

[24] Srithawong S, Fang W K, Jing Y, et al. Sugarcane breeding in the genomic era: integrative strategies and emerging technologies. Plants, 2026, 15: 286.

[25] Barrientos-Alfaro F C, Echeverría-Beirute F, Hernández-Soto A, et al. Mutation breeding strategies and advances for sugarcane (Saccharum spp.) improvement. Plant Cell Tissue Organ Cult, 2025, 162: 66.

[26] Yadav S, Jackson P, Wei X M, et al. Accelerating genetic gain in sugarcane breeding using genomic selection. Agronomy, 2020, 10: 585.

[27] Schnable P S, Springer N M. Progress toward understanding heterosis in crop plants. Annu Rev Plant Biol, 2013, 64: 71–88.

[28] Labroo M R, Studer A J, Rutkoski J E. Heterosis and hybrid crop breeding: a multidisciplinary review. Front Genet, 2021, 12: 643761.

[29] Yu D L, Gu X F, Zhang S P, et al. Molecular basis of heterosis and related breeding strategies reveal its importance in vegetable breeding. Hortic Res, 2021, 8: 120.

[30] Paril J, Reif J, Fournier-Level A, et al. Heterosis in crop improvement. Plant J, 2024, 117: 23–32.

[31] Feng M F, Zhao J H, Li S C, et al. Molecular genetic mechanisms of heterosis in sugarcane cultivars using a comparative transcriptome analysis of hybrids and ancestral parents. Agronomy, 2023, 13: 348.

[32] Chen K L, Wang Y P, Zhang R, et al. CRISPR/Cas genome editing and precision plant breeding in agriculture. Annu Rev Plant Biol, 2019, 70: 667–697.

[33] Dou S W, Zhang T, Tu J X, et al. Generation of novel self-incompatible Brassica napus by CRISPR/Cas9. Plant Biotechnol J, 2021, 19: 875–877.

[34] Jiang G L. Molecular marker-assisted breeding: a plant breeder’s review. In: Al-Khayri J M, Jain S M, Johnson D V, eds. Advances in Plant Breeding Strategies: Breeding, Biotechnology and Molecular Tools, Vol. 1. Cham: Springer, 2016. pp 431–472.

[35] Hasan N, Choudhary S, Naaz N, et al. Recent advancements in molecular marker-assisted selection and applications in plant breeding programmes. J Genet Eng Biotechnol, 2021, 19: 128.

[36] Wang P L, Wang W Z, Wang D J, et al. Plant genetic engineering: technological pathways, application scenarios, and future directions. Adv Sci, 2026, 13: e21040.

[37] Wang P L, Wu Q B, Wang W Z, et al. Revisiting the molecular roadmap for sugar crops: genome reading, trait writing and variety redesigning. Plant Biotechnol J, 2026. https://doi.org/10.1111/pbi.70683.

[38] Tanksley S D, Nelson J C. Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines. Theor Appl Genet, 1996, 92: 191–203.

[39] Ribaut J M, Hoisington D. Marker-assisted selection: new tools and strategies. Trends Plant Sci, 1998, 3: 236–239.

[40] Frisch M, Bohn M, Melchinger A E. Comparison of selection strategies for marker-assisted backcrossing of a gene. Crop Sci, 1999, 39: 1295–1301.

[41] Hospital F. Size of donor chromosome segments around introgressed loci and reduction of linkage drag in marker-assisted backcross programs. Genetics, 2001, 158: 1363–1379.

[42] Collard B C, MacKill D J. Marker-assisted selection: an approach for precision plant breeding in the twenty-first century. Philos Trans R Soc Lond B Biol Sci, 2008, 363: 557–572.

[43] Varshney R K, Bohra A, Yu J M, et al. Designing future crops: genomics-assisted breeding comes of age. Trends Plant Sci, 2021, 26: 631–649.

[44] Alemu A, Åstrand J, Montesinos-López O A, et al. Genomic selection in plant breeding: key factors shaping two decades of progress. Mol Plant, 2024, 17: 552–578.

[45] Zhu H Y, Lin C Z, Liu G Q, et al. Intelligent agriculture: deep learning in UAV-based remote sensing imagery for crop diseases and pests detection. Front Plant Sci, 2024, 15: 1435016.

[46] Knight R L. Genetics and breeding of sugar cane by G. C. Stevenson london: longmans, green (1965), 70s. Exp Agric, 1966, 2: 264.

[47] Jeswiet J. The development of selection and breeding of the sugar cane in Java. Proc Int Soc Sugar Cane Technol, 1930, 3: 44–57.

[48] Bremer G. The origin of the North Indian sugarcanes. Genetica, 1966, 37: 345–363.

[49] Venkatraman T S. Sugarcane-improved varieties for Punjab. Agric J India, 1927, 22: 293–297.

[50] 李杨瑞. 现代甘蔗学. 北京: 中国农业出版社, 2010.

Li Y R. Modern Sugarcane Science. Beijing: China Agriculture Press, 2010 (in Chinese).

[51] Garsmeur O, Rio S, Pompidor N, et al. The genomic footprints of wild Saccharum species trace domestication, diversification, and modern breeding of sugarcane. Cell, 2025, 188: 7252–7266.

[52] 陈如凯, 林彦铨, 张木清, 等. 现代甘蔗遗传育种. 北京: 中国农业出版社, 2011.

Chen R K, Lin Y Q, Zhang M Q, et al. Modern Sugarcane Genetic Breeding. Beijing: China Agriculture Press, 2011 (in Chinese).

[53] 许莉萍, 阙友雄. 甘蔗杂交后代主要经济性状的变异分析. 中国生态农业学报, 2004, 12(4): 64–67.

Xu L P, Que Y X. Analysis on variation of main economic characters in crossing offspring of sugarcane. Chin J Eco-Agric, 2004, 12(4): 64–67 (in Chinese with English abstract).

[54] 严威凯. 品种选育与评价的原理和方法评述. 作物学报, 2022, 48: 2137–2154.

Yan W K. A critical review on the principles and procedures for cultivar development and evaluation. Acta Agron Sin, 2022, 48: 2137–2154 (in Chinese with English abstract).

[55] 罗俊, 张华, 邓祖湖, 等. 应用GGE双标图分析甘蔗品种(系)的产量和品质性状. 作物学报, 2013, 39: 142–152.

Luo J, Zhang H, Deng Z H, et al. Analysis of yield and quality traits in sugarcane varieties (lines) with GGE-biplot. Acta Agron Sin, 2013, 39: 142–152 (in Chinese with English abstract).

[56] 罗俊, 许莉萍, 邱军, 等. 基于HA-GGE双标图的甘蔗试验环境评价及品种生态区划分. 作物学报, 2015, 41: 214–227.

Luo J, Xu L P, Qiu J, et al. Evaluation of sugarcane test environments and ecological zone division in China based on HA-GGE biplot. Acta Agron Sin, 2015, 41: 214–227 (in Chinese with English abstract).

[57] 罗俊, 张华, 阙友雄. 甘蔗品种主要性状的基因型与环境及其互作效应分析. 热带亚热带植物学报, 2012, 20: 445–454.

Luo J, Zhang H, Que Y X. Genotype, environment and their interactive effects on main traits of sugarcane varieties. J Trop Subtrop Bot, 2012, 20: 445–454 (in Chinese with English abstract).

[58] D’Hont A, Grivet L, Feldmann P, et al. Characterisation of the double genome structure of modern sugarcane cultivars (Saccharum spp.) by molecular cytogenetics. Mol Gen Genet, 1996, 250: 405–413.

[59] 昝逢刚, 吴才文, 陈学宽, 等. 118份甘蔗种质资源遗传多样性的AFLP分析. 作物学报, 2014, 40: 1877–1883.

Zan F G, Wu C W, Chen X K, et al. Genetic diversity of 118 sugarcane germplasm using AFLP markers. Acta Agron Sin, 2014, 40: 1877–1883 (in Chinese with English abstract).

[60] 刘新龙, 毛钧, 陆鑫, 等. 甘蔗SSR和AFLP分子遗传连锁图谱构建. 作物学报, 2010, 36: 177–183.

Liu X L, Mao J, Lu X, et al. Construction of molecular genetic linkage map of sugarcane based on SSR and AFLP markers. Acta Agron Sin, 2010, 36: 177–183 (in Chinese with English abstract).

[61] 薛丽, 李心怡, 黄勇泰, 等. 甘蔗与斑茅杂交染色体组构成特征研究. 作物学报, 2024, 50: 633–644.

Xue L, Li X Y, Huang Y T, et al. Component characterization of chromosome sets in the hybrids between sugarcane and Tripidium arundinaceum. Acta Agron Sin, 2024, 50: 633–644 (in Chinese with English abstract).

[62] 阙友雄, 陈天生, 许莉萍. 甘蔗重要种质的TRAP标记遗传多样性分析. 农业生物技术学报, 2009, 17: 496–503.

Que Y X, Chen T S, Xu L P. Genetic diversity among key sugarcane clones revealed by TRAP markers. J Agric Biotechnol, 2009, 17: 496–503 (in Chinese with English abstract).

[63] 李文凤, 王晓燕, 黄应昆, 等. 101份中国甘蔗主要育种亲本褐锈病抗性鉴定及Bru1基因的分子检测. 作物学报, 2016, 42: 1411–1416.

Li W F, Wang X Y, Huang Y K, et al. Identification of resistance to brown rust and molecular detection of Bru1 gene in 101 main sugarcane breeding parents in China. Acta Agron Sin, 2016, 42: 1411–1416 (in Chinese with English abstract).

[64] 李竹, 许莉萍, 苏亚春, 等. 基于田间表型和Bru1基因检测分析甘蔗褐锈病抗性遗传. 作物学报, 2018, 44: 306–312.

Li Z, Xu L P, Su Y C, et al. Analysis of brown rust resistance inheritance based on field phenotypes and detection of Bru1 gene in sugarcane. Acta Agron Sin, 2018, 44: 306–312 (in Chinese with English abstract).

[65] 张荣跃, 王晓燕, 杨昆, 等. 甘蔗新品种及主栽品种对褐锈病抗性与Bru1基因分子检测. 作物学报, 2021, 47: 376–382.

Zhang R Y, Wang X Y, Yang K, et al. Identification of brown rust resistance and molecular detection of Bru1 gene in new and main cultivated sugarcane varieties. Acta Agron Sin, 2021, 47: 376–382 (in Chinese with English abstract).

[66] Wu Q , Li Z X, Lu W X, et al. LC05-136 originates from ROC22, green arising from blue and surpassing blue. Trop Plants, 2024, 3: e024.

[67] Wu Q B, Li A M, Zhao P F, et al. Theory to practice: a success in breeding sugarcane variety YZ08-1609 known as the King of Sugar. Front Plant Sci, 2024, 15: 1413108.

[68] Wu Q B, Li A M, Liu J Y, et al. Sugarcane variety YZ05-51 with high yield and strong resistance: breeding and cultivation perspectives. Trop Plants, 2024, 3: e019.

[69] 张跃彬, 赵培方, 胡朝晖, 等. 近年我国甘蔗品种的育种成就与发展趋势. 中国糖料, 2024, 46(1): 87–92.

Zhang Y B, Zhao P F, Hu Z H, et al. The recent achievements and development trends of sugarcane improvement in China. Sugar Crops China, 2024, 46(1): 87–92 (in Chinese with English abstract).

[70] Cursi D E, Hoffmann H P, Barbosa G V S, et al. History and current status of sugarcane breeding, germplasm development and molecular genetics in Brazil. Sugar Tech, 2022, 24: 112–133.

[71] Ram B, Hemaprabha G, Singh B D, et al. History and current status of sugarcane breeding, germplasm development and molecular biology in India. Sugar Tech, 2022, 24: 4–29.

[72] Khumla N, Sakuanrungsirikul S, Punpee P, et al. Sugarcane breeding, germplasm development and supporting genetics research in Thailand. Sugar Tech, 2022, 24: 193–209.

[73] Moore P H, Nuss K J. Flowering and flower synchronization. In: Heinz D J, eds. Sugarcane Improvement through Breeding. Amsterdam: Elsevier, 1987. pp 273–311.

[74] Vengavasi K, Srinivasavedantham V, Raja A K, et al. Photoperiodic induction and synchronization of flowering in sugarcane hybrids for breeding programs. Sugar Tech, 2023, 25: 160–167.

[75] Hale A L, White P M, Webber C L, et al. Effect of growing media and fertilization on sugarcane flowering under artificial photoperiod. PLoS One, 2017, 12: e0181639.

[76] Todd J, Pan Y B, Boykin D. Fidelity of sugarcane crosses assessed with SSR markers. Agronomy, 2020, 10: 386.

[77] Ahmad A, Wang J D, Pan Y B, et al. Development and use of simple sequence repeats (SSRs) markers for sugarcane breeding and genetic studies. Agronomy, 2018, 8: 260.

[78] 杨俊朋, 凌琪龙, 覃祖锋, 等. 甘蔗不同亲本杂交组合的表型评价与比较分析. 热带作物学报, 2026, 47: 43–55.

Yang J P, Ling Q L, Qin Z F, et al. Phenotypic evaluation and comparative analysis of hybrid combi-nations from different sugarcane parents. Chin J Trop Crops, 2026, 47: 43–55 (in Chinese with English abstract).

[79] 唐思琪, 刘家勇, 赵培方, 等. 甘蔗71个杂交组合的配合力分析与优质亲本筛选. 热带作物学报, 2026, 47: 67–75.

Tang S Q, Liu J Y, Zhao P F, et al. Combining ability analysis of 71 sugarcane hybrid combinations and the screening of key parental lines. Chin J Trop Crops, 2026, 47: 67–75 (in Chinese with English abstract).

[80] 穆金虎, 陈玉泽, 冯慧, 等. 作物育种学领域新的革命: 高通量的表型组学时代. 植物科学学报, 2016, 34: 962–971.

Mu J H, Chen Y Z, Feng H, et al. A new revolution in crop breeding: the era of high-throughput phenomics. Plant Sci J, 2016, 34: 962–971 (in Chinese with English abstract).

[81] Natarajan S, Basnayake J, Wei X M, et al. High-throughput phenotyping of indirect traits for early-stage selection in sugarcane breeding. Remote Sens, 2019, 11: 2952.

[82] Barbosa Júnior M R, de Almeida Moreira B R, de Brito Filho A L, et al. UAVs to monitor and manage sugarcane: integrative review. Agronomy, 2022, 12: 661.

[83] Ye Y L, Wang P L, Zhang M, et al. UAV-based time-series phenotyping reveals the genetic basis of plant height in upland cotton. Plant J, 2023, 115: 937–951.

[84] Lu F, Lang C L, Wei Q, et al. Research on sugarcane pest and disease monitoring system based on unmanned aerial vehicle remote sensing. 2024 4th International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM). December 20-22, 2024, Chengdu, China. IEEE, 2024. pp 532–535.

[85] Wang X D, Wu Q B, Zeng H T, et al. Digital evolution and twin miracle of sugarcane breeding. Field Crops Res, 2024, 318: 109588.

[86] 张跃彬, 等. 现代甘蔗育种理论与品种选育: 异质复合抗逆高产高糖育种与实践. 北京: 科学出版社, 2021.

Zhang Y B, et al. Modern Sugarcane Breeding Theory and Variety Selection: Heterogeneous Complex Resistance, High-Yield and High-Sugar Breeding and Practice. Beijing: Science Press, 2021 (in Chinese).

[87] 周珊, 黄玉新, 张革民, 等. 斑茅割手密复合体杂交后代抗旱生理特性及抗旱种质筛选. 热带作物学报, 2026, 47: 76–85.

Zhou S, Huang Y X, Zhang G M, et al. Screening of drought-tolerant germplasm of intergeneric hybrid Erianthus arundinaceus ×Saccharum spontaneum L. offspring based on dynamic responses of physiological indicators. Chin J Trop Crops, 2026, 47: 76–85 (in Chinese with English abstract).

[88] 罗含敏, 熊发前, 丘立杭, 等. 性状相关的分子标记在甘蔗分子育种中的应用研究. 作物杂志, 2022(2): 35–43.

Luo H M, Xiong F Q, Qiu L H, et al. Application study of molecular markers associated with traits in sugarcane molecular breeding. Crops, 2022(2): 35–43 (in Chinese with English abstract).

[89] Asnaghi C, Roques D, Ruffel S, et al. Targeted mapping of a sugarcane rust resistance gene (Bru1) using bulked segregant analysis and AFLP markers. Theor Appl Genet, 2004, 108: 759–764.

[90] 刘新龙, 刘洪博, 马丽, 等. 利用分子标记数据逐步聚类取样构建甘蔗杂交品种核心种质库. 作物学报, 2014, 40: 1885–1894.

Liu X L, Liu H B, Ma L, et al. Construction of sugarcane hybrids core collection by using stepwise clustering sampling approach with molecular marker data. Acta Agron Sin, 2014, 40: 1885–1894 (in Chinese with English abstract).

[91] Wu J T, Wang Q N, Xie J, et al. SSR marker-assisted management of parental germplasm in sugarcane (Saccharum spp. hybrids) breeding programs. Agronomy, 2019, 9: 449.

[92] Park S, Zhang D P, Ali G S. Assessing the genetic integrity of sugarcane germplasm in the USDA-ARS National Plant Germplasm System collection using single-dose SNP markers. Front Plant Sci, 2023, 14: 1337736.

[93] You Q, Xu L P, Zheng Y F, et al. Genetic diversity analysis of sugarcane parents in Chinese breeding programmes using gSSR markers. Sci World J, 2013, 2013: 613062.

[94] Xiong H Z, Chen Y L, Gao S J, et al. Population structure and genetic diversity analysis in sugarcane (Saccharum spp. hybrids) and six related Saccharum species. Agronomy, 2022, 12: 412.

[95] Aitken K S, Jackson P A, McIntyre C L. Quantitative trait loci identified for sugar related traits in a sugarcane (Saccharum spp.) cultivar × Saccharum officinarum population. Theor Appl Genet, 2006, 112: 1306–1317.

[96] Li X H, Chen X L, Fang J T, et al. Whole-genome sequencing of a worldwide collection of sugarcane cultivars (Saccharum spp.) reveals the genetic basis of cultivar improvement. Plant J, 2024, 119: 2151–2167.

[97] You Q, Yang X P, Peng Z, et al. Development and applications of a high throughput genotyping tool for polyploid crops: single nucleotide polymorphism (SNP) array. Front Plant Sci, 2018, 9: 104.

[98] Costet L, Le Cunff L, Royaert S, et al. Haplotype structure around Bru1 reveals a narrow genetic basis for brown rust resistance in modern sugarcane cultivars. Theor Appl Genet, 2012, 125: 825–836.

[99] Gouy M, Rousselle Y, Bastianelli D, et al. Experimental assessment of the accuracy of genomic selection in sugarcane. Theor Appl Genet, 2013, 126: 2575–2586.

[100] Hayes B J, Wei X M, Joyce P, et al. Accuracy of genomic prediction of complex traits in sugarcane. Theor Appl Genet, 2021, 134: 1455–1462.

[101] Yadav S, Wei X M, Joyce P, et al. Improved genomic prediction of clonal performance in sugarcane by exploiting non-additive genetic effects. Theor Appl Genet, 2021, 134: 2235–2252.

[102] Xiong H Z, Chen Y L, Pan Y B, et al. A genome-wide association study and genomic prediction for fiber and sucrose contents in a mapping population of LCP 85-384 sugarcane. Plants, 2023, 12: 1041.

[103] Gravois K A, Bischoff K P, Pontif M J, et al. Registration of ‘L 01-299’ sugarcane. J Plant Regist, 2011, 5: 191–195.

[104] Mason P J, Hoang N V, Botha F C, et al. Comparison of the root, leaf and internode transcriptomes in sugarcane (Saccharum spp. hybrids). Curr Res Biotechnol, 2022, 4: 167–178.

[105] 俞华先, 刀静梅, 安汝东, 等. 甘蔗种质材料的抗倒伏能力研究及其综合评价. 热带作物学报, 2026, 47: 96–107.

Yu H X, Dao J M, An R D, et al. Lodging resistance and comprehensive evaluation of sugarcane germplasm materials. Chin J Trop Crops, 2026, 47: 96–107 (in Chinese with English abstract).

[106] Wang P L, Si H, Li C H, et al. Plant genetic transformation: achievements, current status and future prospects. Plant Biotechnol J, 2025, 23: 2034–2058.

[107] Wang W Z, Wang D J, Zhao W Y, et al. Highly efficient and genotype-independent genetic transformation system in sugarcane. Plant Biotechnol J, 2026, 24: 2241–2243.

[108] 许孚, 汪洲涛, 路贵龙, 等. 甘蔗遗传改良中的基因工程: 适用、成就、局限和展望. 农业生物技术学报, 2022, 30: 580–593.

Xu F, Wang Z T, Lu G L, et al. Genetic engineering in sugarcane improvement: adaptability, achievements, limitations and prospects. J Agric Biotechnol, 2022, 30: 580–593 (in Chinese with English abstract).

[109] Guo T T, Yu X Q, Li X R, et al. Optimal designs for genomic selection in hybrid crops. Mol Plant, 2019, 12: 390–401.

[110] Miller M J, Song Q J, Fallen B, et al. Genomic prediction of optimal cross combinations to accelerate genetic improvement of soybean (Glycine max). Front Plant Sci, 2023, 14: 1171135.

[111] Yadav S, Dillon S, McNeil M, et al. Optimising parent selection in plant breeding: comparing metaheuristic algorithms for genotype building. Theor Appl Genet, 2025, 138: 242.

[112] Peixoto M A, Amadeu R R, Bhering L L, et al. SimpleMating: R-package for prediction and optimization of breeding crosses using genomic selection. Plant Genome, 2025, 18: e20533.

[113] Nyaga C, Labroo M R, Paterne A, et al. Genomic Predicted cross performance: a tool for optimizing parental combinations in breeding programs. Database, 2025, 2025: baaf074.

[114] 李晓军, 罗正清, 卢昌强, 等. 20份甘蔗品种(系)抗旱性评价. 热带作物学报, 2020, 41: 2482–2491.

Li X J, Luo Z Q, Lu C Q, et al. Evaluation of drought resistance on twenty sugarcane varieties (strains). Chin J Trop Crops, 2020, 41: 2482–2491 (in Chinese with English abstract).

[115] Tippayawat A, Jogloy S, Vorasoot N, et al. Differential physiological responses to different drought durations among a diverse set of sugarcane genotypes. Agronomy, 2023, 13: 2594.

[116] 饶席兵, 杨丽华, 刀静梅, 等. 甘蔗热带种不同基因型对低磷胁迫的响应特征. 热带作物学报, 2026, 47: 86–95.

Rao X B, Yang L H, Dao J M, et al. Response characteristics of different Saccharum officinarum L. genotypes to low-phosphorus stress. Chin J Trop Crops, 2026, 47: 86–95 (in Chinese with English abstract).

[117] 杨柳, 廖芬, Muhammad ANAS, 等. 苗期甘蔗氮高效基因型评价指标的筛选. 热带作物学报, 2020, 41: 2205–2218.

Yang L, Liao F, Anas M, et al. Screening of sugarcane with high nitrogen efficiency at seedling stage. Chin J Trop Crops, 2020, 41: 2205–2218 (in Chinese with English abstract).

[118] Wang D J, Gou Y X, Yi C, et al. ScWRKY2: a key regulator for smut resistance in sugarcane. Plant Biotechnol J, 2025, 23: 3667–3681.

[119] Sheikh M, Iqra F, Ambreen H, et al. Integrating artificial intelligence and high-throughput phenotyping for crop improvement. J Integr Agric, 2024, 23: 1787–1802.

[120] Ranjan R, Birdh T, Mandal N, et al. Evaluating sugarcane yield variability with UAV-derived cane height under different water and Nitrogen conditions[C]//Pattern Recognition. ICPR 2024 International Workshops and Challenges. Cham: Springer Nature Switzerland, 2025. pp 395–407.

[121] Wang X D, Wu Q B, Zeng H T, et al. Blockchain-empowered H-CPS architecture for smart agriculture. Adv Sci, 2025, 12: 2503102.

[122] Wu Q B, Li Z X, Li A M, et al. Sugarcane varieties GT 42 and GT 44, not a flash in the pan, but the flag in the ship. Sugar Tech, 2025, 27: 627–634.

[123] Que Y X, Wu Q B, Zhang H, et al. Developing new sugarcane varieties suitable for mechanized production in China: principles, strategies and prospects. Front Plant Sci, 2023, 14: 1337144.

[124] Wang H B, Pan Y B, Wu M X, et al. Sugarcane genetics: Underlying theory and practical application. Crop J, 2025, 13: 328–338.

[125] Zhang X T, Wang J G, Noor-ul-Áin, et al. International research initiative on genomics-guided sugarcane breeding. Mol Plant, 2025, 18: 171–174.

[126] 阙友雄, 张跃彬, 李杨瑞. 专题导读: 聚焦甘蔗产业关键技术创新, 筑牢糖业高质量发展理论基础. 热带作物学报, 2026, 47: 1–4.

Que Y X, Zhang Y B, Li Y R. Editorial: focusing on key innovations in sugarcane to consolidate the theoretical basis for high-quality sugar industry development. Chin J Trop Crops, 2026, 47: 1–4 (in Chinese with English abstract).

[127] Wei X M, Eglinton J, Piperidis G, et al. Sugarcane breeding in Australia. Sugar Tech, 2022, 24: 151–165.

[128] Hale A L, Todd J R, Gravois K A, et al. Sugarcane breeding programs in the USA. Sugar Tech, 2022, 24: 97–111.

[129] Zhou M. History and current status of sugarcane breeding, germplasm development and supporting molecular research in South Africa. Sugar Tech, 2022, 24: 86–96.

[130] 王伦旺, 邓宇驰, 王泽平, 等. 高产高糖抗倒伏甘蔗新品种桂糖42号的选育及高产栽培技术. 南方农业学报, 2015, 46: 1361–1366.

Wang L W, Deng Y C, Wang Z P, et al. Breeding and high-yield cultivation techniques of a new sugarcane variety GT42 with high yield, high sugar and lodging resistance. J Southern Agric, 2015, 46: 1361–1366 (in Chinese with English abstract).

[131] 经艳, 王伦旺, 唐仕云, 等. 甘蔗新品种桂糖44号的选育及高产栽培技术. 亚热带农业研究, 2015, 11(4): 230–235.

Jing Y, Wang L W, Tang S Y, et al. Breeding of new sugarcane variety Guitang 44 and its high-yielding cultural techniques. Subtrop Agric Res, 2015, 11(4): 230–235 (in Chinese with English abstract).

[1] 崔致远, 秦晨展, 刘星雨, 张海, 曾康, 黄国强, 徐景升. 甘蔗类四跨膜蛋白ScTSPAN18与6K2互作应答SCMV侵染研究[J]. 作物学报, 2026, 52(6): 1618-1630.
[2] 唐宽强, 李公允, 宋美毅, 赵雪, 常春玲. 大豆株高性状全基因组关联分析及预测模型构建[J]. 作物学报, 2026, 52(6): 1743-1756.
[3] 杨欣雨, 崔文涛, 迪力尼格尔·阿力木, 汪凯翔, 吴鹏昊, 任姣姣. 玉米穗上叶片数全基因组关联分析和全基因组选择[J]. 作物学报, 2026, 52(5): 1573-1590.
[4] 田春艳, 陆鑫, 吴才文, 徐超华, 刘家勇, 边芯, 桃联安. 基于荧光SSR的甘蔗创新种质遗传多样性分析及育种潜力评估[J]. 作物学报, 2026, 52(4): 1057-1072.
[5] 杨宗桃, 杨婷, 王禹童, 艾静, 李燕烨, 刘家勇, 邓军, 赵勇, 张跃彬. 甘蔗CLC基因家族鉴定与表达分析[J]. 作物学报, 2026, 52(3): 722-734.
[6] 万慧兰, 吴华英, 曾丹, 钱禛锋, 赵昌祖, 廖然超, 何丽莲, 李富生. 蔗茅耐寒相关基因EfWRKY51克隆分析及功能验证[J]. 作物学报, 2025, 51(8): 2048-2059.
[7] 谢留杰, 段敏, 杨勇, 潘晓飚, 马伯军, 黄善军, 陈析丰. 抗白叶枯病广亲和恢复系的创制及杂交育种应用研究[J]. 作物学报, 2025, 51(12): 3133-3143.
[8] 匡博文, 韦妳, 刘金典, 陈美燕, 毛兴洁, 段维兴, 杨细平. 基于甘蔗及其近缘属参考基因组开发SSR标记及数据库[J]. 作物学报, 2025, 51(1): 103-116.
[9] 李旭娟, 李纯佳, 田春艳, 孔春艳, 徐超华, 刘新龙. 甘蔗硝酸盐转运蛋白1/肽转运蛋白家族6.4基因(ScNPF6.4)克隆及其调控分蘖功能分析[J]. 作物学报, 2024, 50(8): 2131-2142.
[10] 玉泉馨, 杨宗桃, 张海, 程光远, 焦文迪, 曾康, 罗廷绪, 黄国强, 王璐, 徐景升. 甘蔗类钙调素ScCML13与SCMV运动蛋白P3N-PIPO的互作研究[J]. 作物学报, 2024, 50(7): 1855-1866.
[11] 鲁清, 刘浩, 李海芬, 王润风, 黄璐, 梁炫强, 陈小平, 洪彦彬, 刘海燕, 李少雄. 花生含油量全基因组选择及近红外光谱筛选的育种技术探究[J]. 作物学报, 2024, 50(4): 969-980.
[12] 薛丽, 李心怡, 黄勇泰, 欧财篮, 吴小青, 余泽怀, 崔泽田, 张木清, 邓祖湖, 余凡. 甘蔗与斑茅杂交染色体组构成特征研究[J]. 作物学报, 2024, 50(3): 633-644.
[13] 田春艳, 边芯, 郎荣斌, 俞华先, 桃联安, 安汝东, 董立华, 张钰, 经艳芬. 甘蔗3个育种性状与SSR标记的关联分析及优异等位变异发掘[J]. 作物学报, 2024, 50(2): 310-324.
[14] 王恒波, 冯春燕, 张以星, 谢婉婕, 杜翠翠, 吴明星, 张积森. 甘蔗割手密种转录因子NAP亚家族的鉴定及SsNAP2a参与叶片衰老的功能分析[J]. 作物学报, 2024, 50(1): 110-125.
[15] 杜翠翠, 吴明星, 张雅婷, 谢婉婕, 张积森, 王恒波. 甘蔗割手密种糖转运蛋白基因SsSWEET11的克隆与功能分析[J]. 作物学报, 2023, 49(9): 2385-2397.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!