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野生苋菜在水分胁迫下的适应性表现及其应用探讨
引用本文:庞雯,阚丽艳,谢长坤,肖煜,车生泉. 野生苋菜在水分胁迫下的适应性表现及其应用探讨[J]. 上海交通大学学报(农业科学版), 2018, 0(3): 33-38
作者姓名:庞雯  阚丽艳  谢长坤  肖煜  车生泉
作者单位:上海交通大学农业与生物学院
基金项目:“十二五”国家科技支撑计划课题(2015BAL02B01)
摘    要:通过室内水分控制试验,研究了水分胁迫对4种常见野生苋菜的生长量、叶片相对电导率和叶绿素含量的影响。结果表明,水分胁迫下,4种苋菜生长均受到显著抑制,株高和基径平均降低了29.71%和26.11%,主根长和主根直径平均降低了16.81%和21.84%;叶片相对电导率在水分胁迫下均增大,平均相对增量为313.87%;水分胁迫使叶绿素含量增加了75.13%。研究表明,野生苋菜可能通过形态和生理上2种自我调节方式来适应水分胁迫,满足不同绿地需求,在园林绿化建设中值得推广应用。

关 键 词:野生苋菜   水分胁迫   适应性   绿化应用
收稿时间:2017-08-10

Adaptability of Amaranthus tricolor under water stress and its application in landscape
PANG Wen,KAN Li-yan,XIE Chang-kun,XIAO Yu and CHE Sheng-quan. Adaptability of Amaranthus tricolor under water stress and its application in landscape[J]. Journal of Shanghai Jiaotong University (Agricultural Science), 2018, 0(3): 33-38
Authors:PANG Wen  KAN Li-yan  XIE Chang-kun  XIAO Yu  CHE Sheng-quan
Affiliation:School of Agriculture and Biology,Shanghai Jiaotong University,Shanghai 200240,China,School of Agriculture and Biology,Shanghai Jiaotong University,Shanghai 200240,China,School of Agriculture and Biology,Shanghai Jiaotong University,Shanghai 200240,China,School of Agriculture and Biology,Shanghai Jiaotong University,Shanghai 200240,China and School of Agriculture and Biology,Shanghai Jiaotong University,Shanghai 200240,China
Abstract:In this research,the changes of growth,leaf relative leakage and chlorophyll content in 4 amaranth species were analyzed under water stress.The results showed that the aboveground growth in 4 species was inhibited.The average height,base diameter,root length and taproot diameter decreased by 29.71%,26.11%,16.81% and 21.84%,respectively.The relative leaf leakage has increased by 313.87% under water stress.Water stress increased chlorophyll content by 75.13%.We concluded that these 4 amaranth species may adapt to water stress through morphological and physiological self-regulation and thus can meet different green space needs in landscaping construction.
Keywords:Amaranthus tricolor   water stress   environmental adaptability   landscape application
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