Skip to main navigation menu Skip to main content Skip to site footer

Review Articles

Vol. 13 No. sp5 (2026): Recent Advances in Agriculture

Trends and advancements in cucumber (Cucumis sativus L.) breeding: A bibliometric review

DOI
https://doi.org/10.14719/pst.14286
Submitted
28 February 2026
Published
30-09-2026

Abstract

Cucumber (Cucumis sativus L.) is one of the most important vegetable crops in the world and faces several challenges in global agriculture, such as climate change, pest outbreaks and sustainable production. The species’ narrow genetic base further constrains breeding efforts, making the development of stable and resilient cultivars particularly difficult. These challenges underscore the importance of evaluating ongoing research progress in cucumber breeding. In the present study, a bibliometric analysis was conducted to evaluate the publication process and trend of the cucumber breeding technologies. A total of 166 papers between 2015 and 2024 were retrieved from the Scopus database and, analysed using Bibliometrix R, Biblioshiny and VOS viewer. The results revealed a steady growth in annual publications, which peaked in 2024. China contributed most, in terms of the number and citations of publications. Frontiers in Plant Science was the most productive journal and study of CRISPR-associated protein 9 (CRISPR/Cas9) had the highest number of citations. Networks of collaboration between authors and countries, helped find focused research clusters. Thematic analysis showed that the major subjects of research are molecular breeding, quantitative trait locus (QTL) mapping, transcriptomic profiling, disease resistance and gene expression. This bibliography analysis provides a quantitative reference for future cucumber breeding research prospects, research hotspots and the pattern of cooperation.

References

  1. 1. Li Y, Liang K, Li M, Zhang Y, Zhou S, Chen X, et al. Nutritional content and function of cucumber and grafting technique. Shanghai Agric Sci Technol. 2015;1:89-131.
  2. 2. Shi X, Li Q, Li X, Xiao C, Wang S. The anti-oxidation effect of Cucumis sativus Linn. flavonoids. Food Res Dev. 2010;31:85-6.
  3. 3. He N, Yang X, Tian L, Zhao Y. In vitro antioxidant activity of cucumber polysaccharides. Food Sci. 2011;32(19):70-4.
  4. 4. Zhang YT, Ouyang DY, He XH. Progress in antitumor effect of cucurbitacin B and its mechanism. Chin J Pharmacol Toxicol. 2012;26(1):112-5.
  5. 5. Yang S, Chang Y, Zheng L, Wei Z, Qu H, Cao S. Protective effects of cucurbitacin B on the acute liver injury induced by CCl4. Food Sci. 2005;26(9):524-6.
  6. 6. FAO. Food and Agriculture Organization of the United States. 2023. www.fao.org/faostat/en/#data/QCL
  7. 7. Feng S, Zhang J, Mu Z, Wang Y, Wen C, Wu T, et al. Recent progress on the molecular breeding of Cucumis sativus L. in China. Theor Appl Genet. 2020;133(5):1777-90. https://doi.org/10.1007/s00122-019-03484-0
  8. 8. Yuan X, Pan J, Cai R, Guan Y, Liu L, Zhang W, et al. Genetic mapping and QTL analysis of fruit and flower related traits in cucumber (Cucumis sativus L.) using recombinant inbred lines. Euphytica. 2008;164(2):473-91. https://doi.org/10.1007/s10681-008-9722-5
  9. 9. Zhu W-Y, Huang L, Chen L, Yang J-T, Wu J-N, Qu M-L, et al. A high-density genetic linkage map for cucumber (Cucumis sativus L.): based on specific length amplified fragment (SLAF) sequencing and QTL analysis of fruit traits in cucumber. Front Plant Sci. 2016;7:437.
  10. 10. Miao H, Zhang S, Wang X, Zhang Z, Li M, Mu S, et al. A linkage map of cultivated cucumber (Cucumis sativus L.) with 248 microsatellite marker loci and seven genes for horticulturally important traits. Euphytica. 2011;182(2):167-76. https://doi.org/10.1007/s10681-011-0410-5
  11. 11. Lee H-Y, Kim J-G, Kang B-C, Song K. Assessment of the genetic diversity of the breeding lines and a genome wide association study of three horticultural traits using worldwide cucumber (Cucumis spp.) germplasm collection. Agronomy. 2020;10(11):1736.
  12. 12. Wang Y, Fang Y, Ning S, Xia L, Zhan J, Yang Z, et al. QTL mapping for ovary-and fruit-related traits in Cucumis sativus-c. hystrix introgression line IL52. Genes. 2023;14(6):1133. https://doi.org/10.3390/genes14061133
  13. 13. Fazio G, Staub J, Stevens M. Genetic mapping and QTL analysis of horticultural traits in cucumber (Cucumis sativus L.) using recombinant inbred lines. Theor Appl Genet. 2003;107(5):864-74. https://doi.org/10.1007/s00122-003-1277-1
  14. 14. Bo K, Ma Z, Chen J, Weng Y. Molecular mapping reveals structural rearrangements and quantitative trait loci underlying traits with local adaptation in semi-wild Xishuangbanna cucumber (Cucumis sativus L. var. xishuangbannanesis Qi et Yuan). Theor Appl Genet. 2015;128(1):25-39. https://doi.org/10.1007/s00122-014-2410-z
  15. 15. Li L, Meng Y, Zhang L, Lou Q, Li J, Qian C, et al. Study on optimization of Agrobacterium-mediated transformation system of cucumber. Acta Agric Boreali-Sin. 2015;30:115-21.
  16. 16. Pawełkowicz M, Zieliński K, Zielińska D, Pląder W, Yagi K, Wojcieszek M, et al. Next generation sequencing and omics in cucumber (Cucumis sativus L.) breeding directed research. Plant Sci. 2016;242:77-88. https://doi.org/10.1016/j.plantsci.2015.07.025
  17. 17. Kraus S, Mahto RV, Walsh ST. The importance of literature reviews in small business and entrepreneurship research. Taylor & Francis; 2023. p. 1095-106. https://doi.org/10.1080/00472778.2021.1955128
  18. 18. Yuan B-Z, Sun J. Bibliometric analysis of potato research publications from Agronomy Category based on Web of Science from 2000 to 2021. Potato Res. 2022;65(2):233-53. https://doi.org/10.1007/s11540-021-09521-0
  19. 19. Chandrasekaran J, Brumin M, Wolf D, Leibman D, Klap C, Pearlsman M, et al. Development of broad virus resistance in non–transgenic cucumber using CRISPR/Cas9 technology. Mol Plant Pathol. 2016;17(7):1140-53. https://doi.org/10.1111/mpp.12375Digital
  20. 20. Zhao JianYu ZJ, Jiang Li JL, Che Gen CG, Pan YuPeng PY, Li YanQiang LY, Hou Yu HY, et al. A functional allele of CsFUL1 regulates fruit length through repressing CsSUP and inhibiting auxin transport in cucumber. 2019.
  21. 21. Zhang Z, Mao L, Chen H, Bu F, Li G, Sun J, et al. Genome-wide mapping of structural variations reveals a copy number variant that determines reproductive morphology in cucumber. The Plant Cell. 2015;27(6):1595-604.
  22. 22. Li H, Wang S, Chai S, Yang Z, Zhang Q, Xin H, et al. Graph-based pan-genome reveals structural and sequence variations related to agronomic traits and domestication in cucumber. Nat Commun. 2022;13(1):682.
  23. 23. Chen H, Sun J, Li S, Cui Q, Zhang H, Xin F, et al. An ACC oxidase gene essential for cucumber carpel development. Mol Plant. 2016;9(9):1315-27.
  24. 24. Zhou Y, Hu L, Wu H, Jiang L, Liu S. Genome-wide identification and transcriptional expression analysis of cucumber superoxide dismutase (SOD) family in response to various abiotic stresses. Int J Genomics. 2017;2017(1):7243973. https://doi.org/10.1155/2017/7243973
  25. 25. Nie J, Wang Y, He H, Guo C, Zhu W, Pan J, et al. Loss-of-function mutations in CsMLO1 confer durable powdery mildew resistance in cucumber (Cucumis sativus L.). Front Plant Sci. 2015;6:1155. https://doi.org/10.3389/fpls.2015.01155
  26. 26. Wang X, Bao K, Reddy UK, Bai Y, Hammar SA, Jiao C, et al. The USDA cucumber (Cucumis sativus L.) collection: genetic diversity, population structure, genome-wide association studies, and core collection development. Hortic Res. 2018;5.
  27. 27. Xu X, Xu R, Zhu B, Yu T, Qu W, Lu L, et al. A high-density genetic map of cucumber derived from Specific Length Amplified Fragment sequencing (SLAF-seq). Front Plant Sci. 2015;5:768. https://doi.org/10.3389/fpls.2014.00768
  28. 28. Xu X, Ji J, Ma X, Xu Q, Qi X, Chen X. Comparative proteomic analysis provides insight into the key proteins involved in cucumber (Cucumis sativus L.) adventitious root emergence under waterlogging stress. Front Plant Sci. 2016;7:1515. https://doi.org/10.3389/fpls.2016.01515
  29. 29. Zhang H, Mittal N, Leamy LJ, Barazani O, Song BH. Back into the wild—Apply untapped genetic diversity of wild relatives for crop improvement. Evol Appl. 2017;10(1):5-24.
  30. 30. Xu Y, Li P, Yang Z, Xu C. Genetic mapping of quantitative trait loci in crops. Crop J. 2017;5(2):175-84.
  31. 31. Varshney RK, Ribaut J-M, Buckler ES, Tuberosa R, Rafalski JA, Langridge P. Can genomics boost productivity of orphan crops? Nat Biotechnol. 2012;30(12):1172-6.
  32. 32. Collard BC, Mackill DJ. Marker-assisted selection: an approach for precision plant breeding in the twenty-first century. Philos Trans R Soc Lond, B, Biol Sci. 2008;363(1491):557-72.
  33. 33. Bortesi L, Fischer R. The CRISPR/Cas9 system for plant genome editing and beyond. Biotechnol Adv. 2015;33(1):41-52.
  34. 34. Chen K, Wang Y, Zhang R, Zhang H, Gao C. CRISPR/Cas genome editing and precision plant breeding in agriculture. Annu Rev Plant Biol. 2019;70(1):667-97.
  35. 35. Elshire RJ, Glaubitz JC, Sun Q, Poland JA, Kawamoto K, Buckler ES, et al. A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PloS one. 2011;6(5):e19379.

Downloads

Download data is not yet available.