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不同诱变处理对苦荬菜M1代农艺性状和品质影响的初报
引用本文:唐凤兰,刘丽,陈积山,张月学,韩微波,刘杰淋,刘风岐.不同诱变处理对苦荬菜M1代农艺性状和品质影响的初报[J].草业学报,2010,19(2):248-252.
作者姓名:唐凤兰  刘丽  陈积山  张月学  韩微波  刘杰淋  刘风岐
作者单位:黑龙江省农业科学院草业研究所,黑龙江,哈尔滨,150086;哈尔滨师范大学,黑龙江,哈尔滨,150086
基金项目:国家牧草产业技术体系,国家科技支撑计划,国家科技支撑计划 
摘    要: 利用空间飞行(aerospaceflight,AF)和60Co γ射线分别处理苦荬菜干种子,比较分析其M1代与对照(CK)的7个主要农艺性状和品质构成因子。结果表明,发芽率、发芽势、株高、产量、粗纤维、粗蛋白存在显著差异(P<0.05),粗脂肪差异不显著。相关性分析发芽率、发芽势、产量三者之间存在极显著相关(P<0.01);株高、粗脂肪、粗蛋白存在显著相关(P<0.05);产量与粗脂肪呈极显著相关性(P<0.01)。主成分分析表明,苦荬菜M1代突变群体的变异主要通过产量因子、品质因子2主成分体现出来(累积贡献率达86.4461%),选用空间飞行和60Co-γ射线20Gy处理的后代作为育种材料最好。

关 键 词:苦荬菜  空间飞行  (60)Co-γ射线  相关分析  主成分分析
收稿时间:1900-01-01;

A preliminary study on effect of feeding characters and quality traits in M1 of Lactuca indica by different mutation treatments
TANG Feng-lan,LIU Li,CHEN Ji-shan,ZHANG Yue-xue,
HAN Wei-bo,LIU Jie-lin,LIU Feng-qi.A preliminary study on effect of feeding characters and quality traits in M1 of Lactuca indica by different mutation treatments[J].Acta Prataculturae Sinica,2010,19(2):248-252.
Authors:TANG Feng-lan  LIU Li  CHEN Ji-shan  ZHANG Yue-xue  
HAN Wei-bo
  LIU Jie-lin  LIU Feng-qi
Abstract:Dry seeds of Lactuca indica in aerospace flight (AF) were irradiated with different doses of ~(60)Co-γ rays and were used to compare and analyze seven main feeding characters and quality traits in the M1 of L. indica. There were significant differences in the rate of germination, germination potential, height, yield, crude fiber, and crude protein (P<0.05) without crude fat. The rate of germination was significantly correlated with germination potential and yield (P<0.05). The height was significantly correlated with crude fat and crude protein (P<0.05). The yield was significantly correlated with crude fat (P<0.05). The results of principal component analysis showed that the cumulative ratio of contribution of 86.446 1% comes from plant yield factors and plant quality factors. The results showed that use of AF and 20 Gy of ~(60)Co-γ rays treatment is important because it is a better way to cultivate new varieties.
Keywords:Lactuca indica  aerospace flight  correlation analysis  principal component analysis
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