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植物研究 ›› 2015, Vol. 35 ›› Issue (6): 825-831.doi: 10.7525/j.issn.1673-5102.2015.06.006

• 论文 • 上一篇    下一篇

野生红花白芨再生体系的建立和优化

李芳1;肖小君1*;林忠全2;杜明林1;胡章薇1;黄作喜1   

  1. 1.内江师范学院生命科学学院,内江 641100;
    2.四川深达生物科技有限公司,南充 637000
  • 出版日期:2015-11-20 发布日期:2016-01-18
  • 基金资助:
     

Establishment and Optimization of Wild Beltilla striata Regeneration System

LI Fang1;XIAO Xiao-Jun1*;LIN Zhong-Quan2;DU Ming-Lin1;HU Zhang-Wei1;HUANG Zuo-Xi1   

  1. 1.College of Life Sciences,Neijiang Normal University,Neijiang 641100;
    2.Sichuan Shenda Bio-Technique Co.Ltd.,Nanchong 637000
  • Online:2015-11-20 Published:2016-01-18
  • Supported by:
     

摘要: 以野生红花白芨成熟蒴果为外植体,建立了白芨植株的再生体系。结果表明:白芨种子萌发最佳培养基为1/2 MS+6-BA 1.0 mg·L-1+NAA 0.1 mg·L-1+AC 0.5 g·L-1;原球茎增殖最适培养基为MS+KT 1.0 mg·L-1+NAA 0.1 mg·L-1+AC 0.5 g·L-1;原球茎分化培养基为MS+6-BA 0.5 mg·L-1+KT 1.0 mg·L-1+NAA 0.1 mg·L-1+AC 0.5 g·L-1;不定芽增殖最佳培养基为MS+6-BA 0.5 mg·L-1+KT 1.0 mg·L-1+NAA 0.1 mg·L-1+AC 0.5 g·L-1 +土豆汁150 g·L-1,30 d后的芽增殖率达343%;最适生根培养基为1/2MS+IBA 0.5 mg·L-1+AC 0.5 g·L-1+土豆汁100 g·L-1,生根率达100%;试管苗移栽的最佳方式是以水苔+树皮+椰糠+锯木粉(2∶2∶1∶1,V/V/V/V)为混合基质进行多株移栽,成活率可达99%。

关键词: 白芨, 再生体系, 优化

Abstract: We used the ripe capsules from wild Bletilla striata as explants to establish regeneration system. The optimal medium for seed germination was 1/2MS+6-BA 1.0 mg·L-1+NAA 0.1 mg·L-1+AC 0.5 g·L-1. The most suitable medium for PLB multiplication was MS+KT 1.0 mg·L-1+NAA 0.1 mg·L-1+AC 0.5 g·L-1, while MS+6-BA 0.5 mg·L-1+KT 1.0 mg·L-1+NAA 0.1 mg·L-1+AC 0.5 g·L-1 was appropriate for PLB differentiation. The optimal medium for adventitious buds multiplication was MS+6-BA 0.5 mg·L-1+KT 1.0 mg·L-1+NAA 0.1 mg·L-1+AC 0.5 g·L-1+potato juice 150 g·L-1, and the proliferation rate was up to 343% after 30 days. The most suitable rooting medium was 1/2MS+IBA 0.5 mg·L-1+AC 0.5 g·L-1+potato juice 100 g·L-1 with the rooting rate of 100%. The best way of tube seedlings transplanting was under the volume ratio of sphagna: batk: Coconut chaff: wood flour of 2∶2∶1∶1 with 99% of survival rate.

Key words: Bletilla striata, regeneration system, optimization

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