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Study on the grading standard of Panax notoginseng seedlings

  • Chen, Lijuan (Faculty of Life Science and Technology, Kunming University of Science and Technology) ;
  • Yang, Ye (Faculty of Life Science and Technology, Kunming University of Science and Technology) ;
  • Ge, Jin (Faculty of Life Science and Technology, Kunming University of Science and Technology) ;
  • Cui, Xiuming (Faculty of Life Science and Technology, Kunming University of Science and Technology) ;
  • Xiong, Yin (Faculty of Life Science and Technology, Kunming University of Science and Technology)
  • 투고 : 2016.06.03
  • 심사 : 2017.03.21
  • 발행 : 2018.04.15

초록

Background: The quality differences in seedlings of medicinal herbs often affect the quality of medicinal parts. The establishment of the grading standard of Panax notoginseng seedlings is significant for the stable quality of medicinal parts of P. notoginseng. Methods: To establish the grading standard of P. notoginseng seedlings, a total of 36,000 P. notoginseng seedlings were collected from 30 producing areas, of which the fresh weight, root length, root diameter, bud length, bud diameter, and rootlet number were measured. The K-means clustering method was applied to grade seedlings and establish the grading standard. Results: The fresh weight and rootlet number of P. notoginseng seedlings were determined as the final indices of grading. P. notoginseng seedlings from different regions of Yunnan could be preliminarily classified into four grades: the special grade, the premium grade, the standard grade, and culled seedlings. Conclusion: The grading standard was proven to be reasonable according to the agronomic characters, emergence rate, and photosynthetic efficiency of seedlings after transplantation, and the yields and contents of active constituents of the medicinal parts from different grades of seedlings.

키워드

참고문헌

  1. Ng TB. Pharmacological activity of sanchi ginseng (Panax notoginseng). J Pharm Pharmacol 2006;58:1007-19. https://doi.org/10.1211/jpp.58.8.0001
  2. Pharmacopoeia of the People's Republic of China (2010 Edition). The first national.
  3. Briskin DP. Medicinal plants and phytomedicines. Linking plant biochemistry and physiology to human health. Plant Physiol 2000;124:507-14.
  4. Hong DY, Lau AJ, Yeo CL, Liu XK, Yang CR, Koh HL, Hong Y. Genetic diversity and variation of saponin contents in Panax notoginseng roots from a single farm. J Agric Food Chem 2005;53:8460-7. https://doi.org/10.1021/jf051248g
  5. Son HY, Han HS, Jung HW, Park YK. Panax notoginseng attenuates the infarct volume in rat ischemic brain and the inflammatory response of microglia. J Pharmacol Sci 2009;109:368-79. https://doi.org/10.1254/jphs.08197FP
  6. Zhang JP, Si YC, Zhu PC. Effect of total saponins on the proliferation and differentiation of neural stem cells in hippocampus of rats in vitro. Acta Anat Sin 2010;41:362-6.
  7. Han CY, Zhang RR, Sun WB. Study on seed quality grading standard of Panax notoginseng (Burk.) F.H. Chen. Seed 2014;33:116-21.
  8. Wei JH, Chen SL, Cheng HZ, Li MJ, Yang CM. Seeds and seedlings of Chinese herbal medicines standardization project. MTCM Meter Med 2005;7:104-7.
  9. Cui XM, Wang CL, He CF, Li W, Zhang Y, Wang YF. Study on the biological characteristics of Panax notoginseng seedlings. Chin J Chin Mater Med 1995;20:659-60.
  10. Cui XM, Wang CL, Chen ZJ. Influence of seedling assortment on Panax notoginseng growth and yield. Chin Med Mater 1998;21:60-1.
  11. Joseph SPF. Information systems reengineering, integration and normalization. 3rd ed. New York: Springer; 2015. p. 343-76.
  12. Mecit ED, Alp I. A new proposed model of restricted data envelopment analysis by correlation coefficients. Appl Math Model 2016;40:10820-7.
  13. Costache GN, Corcoran P, Puslecki P. Combining PCA-based datasets without retraining of the basis vector set. Pattern Recogn Lett 2009;30:1441-7. https://doi.org/10.1016/j.patrec.2009.08.011
  14. Velmurugan T. Performance based analysis between k-Means and Fuzzy CMeans clustering algorithms for connection oriented telecommunication data. Appl Soft Comput 2014;19:134-46. https://doi.org/10.1016/j.asoc.2014.02.011
  15. Brouwer R. Nutritive influences on the distribution of dry matter in the plant. Neth J Agric Sci 1962;10:361-76.
  16. Magnusson M, Mata L, De Nys R, Paul NA. Biomass, lipid and fatty acid production in large-scale cultures of the marine macroalga Derbesia tenuissima (Chlorophyta)[J]. Mar Biotechnol 2014;16:456-64. https://doi.org/10.1007/s10126-014-9564-1
  17. Qu XY, Li LY, Zhong GY, Yin FJ, Wang Y, Chen DX. Establishment of seedling classification criteria of Coptis chinensis by dynamic clustering method. Chin J Chin Mater Med 2012;37:777-80.
  18. Yu FL, Zhong K,WangWQ, Hou JL, Li WD, Gao SR, WangWJ. Establishment of seedling classification of Anemarrhena asphodeloides Bge. Seed 2014;33:110-2.
  19. Tang L, Zhang LX, Wang YQ, Yang CY, Tang DY. Research of seedling quality of Dendrobium nobile. Chin Med Mater 2012;35:12-5.
  20. Zhang FF, Zhang YQ, Gu ZW, Li J. Study on quality classification standard of Salvia miltiorrhiza Bunge seedlings in Shandong province. J Shandong Univ TCM 2012;36:236-9.
  21. Chen PS. A comparative study on clustering algorithms: K-means and ISODATA. J Jiangxi Univ Sci Technol 2012;33:78-82.
  22. MacQueen JB. Some methods for classification and analysis of multivariate observations. In: Proceedings of the 5th Berkeley symposium on mathematical statistics and probability, Vol. 1. Berkeley: Univ. of California Press; 1967. p. 431-41.
  23. Katerji N, Mastrorilli M, Lahmer FZ, Oweis T. Emergence rate as a potential indicator of crop salt-tolerance. Eur J Agron 2012;38:1-9. https://doi.org/10.1016/j.eja.2011.11.006
  24. Ashraf M, Harris PJC. Potential biochemical indicators of salinity tolerance in plants. Plant Sci 2004;166:3-16. https://doi.org/10.1016/j.plantsci.2003.10.024
  25. Standardization Administration of China. Product of geographical indicationdWenshan Sanqi. GB/T 19086-2008.
  26. Breuer G, Martens DE, Draaisma RB, Wijffels RH, Lamers PP. Photosynthetic efficiency And carbon partitioning in nitrogen-starved Scenedesmus obliquus. Algal Res 2015;9:254-62. https://doi.org/10.1016/j.algal.2015.03.012
  27. Verjrazka C, Janssen M, Benvenuti G, Streefland M, Wijffels RH. Photosynthetic efficiency and oxygen evolution of Chlamydomonas reinhardtii under continuous and flashing light. Appl Microb Biotechnol 2013;97:1523-32. https://doi.org/10.1007/s00253-012-4390-8
  28. Wang T, Wan DQ, Shao L, Dai JZ, Jiang CY. Notoginsenoside R1 stimulated osteogenic function in primary osteoblasts via estrogen receptor signaling. Biochem Biophys Res Commun 2015;466:232-9. https://doi.org/10.1016/j.bbrc.2015.09.014
  29. Liu Z, Qi Y, Cheng Z, Zhu X, Fan C, Yu SY. Notoginsenoside R1 stimulated osteogenic function in primary osteoblasts via estrogen receptor signaling. Neuroscience 2016;322:358-69.
  30. Chen WJ, Wang JL, Luo Y, Wang T, Li XC, Li AY, Li J, Liu K, Liu BL. Ginsenoside Rb1 and compound K improve insulin signaling and inhibit ER stressassociated NLRP3 inflammasome activation in adipose tissue. J Ginseng Res 2016;40:351-8. https://doi.org/10.1016/j.jgr.2015.11.002

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