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光照和不同药剂浸种对龙葵种子发芽率的影响
引用本文:杨传杰,魏树和,周启星,胡亚虎,牛荣成.光照和不同药剂浸种对龙葵种子发芽率的影响[J].应用生态学报,2009,20(5):1248-1252.
作者姓名:杨传杰  魏树和  周启星  胡亚虎  牛荣成
作者单位:1.中国科学院沈阳应用生态研究所陆地生态过程重点实验室, 沈阳 110016;2.中国科学院研究生院, 北京100039;3.南开大学环境科学与工程学院, 天津 300071
基金项目:国家高技术研究发展计划(863计划),辽宁省自然科学基金,教育部留学回国人员科研启动基金 
摘    要:为探索超富集植物龙葵种子的快速发芽方法,以滤纸为发芽基质,采用恒温培养箱及温室培养的方法,对龙葵种子进行不同浸种处理,探讨光照及不同浸种液对龙葵种子发芽的影响.结果表明: 光照条件是龙葵种子发芽的重要条件之一,光照条件下的发芽率约为无光照条件下发芽率的5倍(P<0.05);不同浸种液均能显著提高龙葵种子的发芽率,其中以双氧水的处理效果最好,发芽时间最短(P<0.05);浸种后不经清洗处理的龙葵种子发芽率约为浸种后再经清洗处理发芽率的2~3倍(P<0.05).

关 键 词:气候变化  环境异质性  树种分布预测  景观破碎化  样地数据  
收稿时间:2008-11-3

Effects of illumination and seed-soaking reagent on seed germination of Solanum nigrum.
YANG Chuan-jie,WEI Shu-he,ZHOU Qi-xing,HU Ya-hu,NIU Rong-cheng.Effects of illumination and seed-soaking reagent on seed germination of Solanum nigrum.[J].Chinese Journal of Applied Ecology,2009,20(5):1248-1252.
Authors:YANG Chuan-jie  WEI Shu-he  ZHOU Qi-xing  HU Ya-hu  NIU Rong-cheng
Institution:1.Key Laboratory of Terrestrial Ecological Process, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;2.GraduateUniversity of Chinese Academy of Sciences, Beijing 100039, China;3.College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
Abstract:To explore a rapid seed germination method for hyperaccumulator Solanum nigrum, a germination experiment with different illumination and seed-soaking treatments was conducted in constant temperature box and greenhouse, with filter as burgeon base. Under illumination, the germination rate was about 5 times high of that without illumination (P<005), indicating that illumination was one of the prerequisites for the seed germination of S. nigrum. All test seed-soaking reagents could significantly improve the germination rate of S. nigrum (P<005), with the best effect of H2O2. The seeds treated with H2O2 had the shortest germination time. The germination rate of seeds soaked but without cleaning was 2〖KG-*2〗-〖KG-*7〗3 times as high as that of seeds soaked and cleaned with water.
Keywords:climate change  environmental heterogeneity  tree species distribution prediction  landscape fragmentation  sampling plot data    
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