摘要
利用1、2、4、8mg·L^-1平阳霉素（PYM）对小菊品种意大利红离体培养的叶片和茎段进行诱变处理。结果表明，PYM对叶片和茎段愈伤组织的诱导和分化具有明显的抑制作用，随着PYM质量浓度的增加，愈伤组织的诱导和分化均呈明显的下降趋势。对茎段外植体经不同质量浓度PYM处理后的M1代，进行田间主要观赏性状观察和统计分析，发现诱变后代与对照相比，平均株高、冠幅、节间长度和叶片长／宽均减小，花径增大，管状花数目和舌状花数目增加。诱变后代中还出现了叶色、叶型、花色以及花型变异的植株。随着PYM质量浓度由低到高，花型的变异牢分别为0、2．5％、3．3％和1．2％，花型多为舌状花向下翻卷，或舌状花前端变尖；花色的变异率分别为0、4．9％、8．2％和1.2％，花色均往浅色方向变异。PYM最适的诱变质量浓度为2—4mg·L^-1。
Leaves and stem segments, which were from in vitro cultural plantlets of Dendranthema × grandiflorum ‘ Italy Red’with small inflorescence and as explants, were treated by Pingyangmycin （PYM） with different concentrations of 1, 2, 4, 8 mg · L^-1. The results showed that PYM could dramatically inhibit callus induction and differentiation of explants. With the increasing of PYM concentration, hoth the callus induction rate and differentiation rate decreased. An observation was made on some characters of M1 plants regenerated from stem explants treated by PYM. The result showed that the average height, crown diameter, internode length and ratio of leaf length and width of the M1 generation decreased as compared to untreated ones. Whereas, flower diameter, number of tubular and ray florets all increased after PYM treatment. In addition, variations of flower color, flower type, leaf color and leaf type were also observed in Mt generation. With the increasing of PYM concentration from 1 to 8 mg · L^-1 , the ratio of variation in flower type, e.g. downwards extend or sharp tip of ray florets, was 0, 2.5% , 3. 3% and 1. 2% , respectively. The ratio of variation in flower color, i.e. turning pale, was 0, 4. 9% , 8. 2% and 1.2% , respectively. It can be concluded that the optimal induction concentrations of PYM are 2 to 4 mg · L^-1 for mutagenesis of D. × grandiflorum ‘ Italy Red’.
出处
《南京农业大学学报》
CAS
CSCD
北大核心
2007年第1期39-43,共5页
Journal of Nanjing Agricultural University
基金
江苏省科技厅高技术研究项目(BG2003305
BG2004310)
上海市农委重点攻关项目[农科攻字(2004)第3-1]
江苏省高技术产业化项目(JH02-086)
江苏省农业三项工程项目(SX(2003)065)
关键词
小菊
平阳霉素
诱变
M1代
性状表现
chrysanthemum with small inflorescence
Pingyangmycin （PYM）
induction
M1 generation
performance of traits
