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约旦野生二棱大麦群体籽粒休眠特性的网络分析
引用本文:文玲玲,;薛文韬,;严俊,;赵钢,;程剑平.约旦野生二棱大麦群体籽粒休眠特性的网络分析[J].植物生理学通讯,2014(8):1227-1237.
作者姓名:文玲玲  ;薛文韬  ;严俊  ;赵钢  ;程剑平
作者单位:[1]贵州大学麦作研究中心,贵阳550025; [2]成都大学生物产业学院,成都610106
基金项目:贵州省国际科技合作计划项目[黔科合外G字(2012)7011]、四川省国际科技合作与交流研究计划项目(12GH0093)和国家科技部国际科技合作专项(S2013ZR0452).
摘    要:本研究以来自约旦的16个野生二棱大麦群体206个基因型为材料,对籽粒不同部分的氮素营养相关性状以及40℃下不同贮藏时间后的萌发率进行了测定,并利用网络相关性技术分析其与起源地生态地理因素之间的相关性。结果表明,来自于不同地区的大麦群体在种子含氮量、壳含氮量、种子可溶性蛋白质含量、单粒重及单壳重上存在明显差异,并且籽粒不同部位含氮量发生分配平衡,种子含氮量较高的群体壳含氮量较低。同时,网络相关性分析证实壳含氮量与籽粒萌发特性呈显著负相关,而壳中潜在抑制萌发的含氮物可能在42d的高温储藏下分解或失活。

关 键 词:野生二棱大麦  籽粒休眠  氮素营养  生态地理因素

The Network Analysis on Characters of Caryopsis Dormancy in Wild Barley (Hordeum spontaneum) Populations from Jordan
Institution:WEN Ling-Ling, XUE Wen-Tao, YAN Jun, ZHAO Gang, CHENG Jian-Ping( 1.Institute of Triticeae Crops, Guizhou University, Guiyang 550025, China; 2.Faculty of Biotechnology Industry, Chengdu University, Chengdu 610106, China)
Abstract:In this study, 206 genotypes of wild barley (Hordeum spontaneum) with 16 populations derived from different habitats of Jordan were studied for caryopsis nitrogen-related traits and germination characters under different storage time at 40 ℃. Also the correlations between those traits and eco-geographic factors were analyzed by correlation-based network analysis (CNA). The results showed that there are significant differences among the populations on the traits of seed nitrogen concentration, shell nitrogen concentration, seed soluble-protein concentration, single seed weight and single shell weight. The nitrogen trade-off occurred between the organs of seed and shell which makes the populations with high seed nitrogen concentration associated with low shell nitrogen concentration. Meanwhile, the results of CNA suggest the shell nitrogen concentration sig- nificantly negative-correlated with the germination characters of caryopsis, and the putative inhibitors in shell could be degraded or inactivated after the 42 days of storage at 40 ℃.
Keywords:Hordeum spontaneum  caryopsis dormancy  nitrogen nutrition  eco-geographic factor
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