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黄瓜砧用白籽南瓜对不同盐胁迫的耐性评价
引用本文:汤旭光,刘殿伟,王宗明,贾明明,董张玉,刘婧怡,徐文明.黄瓜砧用白籽南瓜对不同盐胁迫的耐性评价[J].生态学杂志,2012,31(5):1311-1318.
作者姓名:汤旭光  刘殿伟  王宗明  贾明明  董张玉  刘婧怡  徐文明
作者单位:(;1.南京农业大学园艺学院/农业部南方蔬菜遗传改良重点开放实验室, 南京 210095; ;2.河北工程大学农学院, 河北邯郸 056021)
基金项目:中国科学院战略性先导科技专项,国家重点基础研究发展计划项目,国家水体污染控制与治理科技重大专项
摘    要:采用营养液栽培,研究Ca(NO3)2和NaCl胁迫对黄瓜嫁接用砧木南瓜幼苗生长和抗氧化酶活性的影响,并用隶属函数法综合评价其耐盐性.结果表明: 低浓度盐30 mmol·L-1Ca(NO3)2和等渗的45 mmol·L-1 NaCl处理促进砧木幼苗生长;高浓度盐60、120 mmol·L-1Ca(NO3)2和等渗的90、180 mmol·L-1NaCl胁迫下,各砧木幼苗的生长和抗氧化酶系统均受到不同程度的抑制,其中,‘青砧1号’的盐害指数最小,生物量及超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)活性的下降幅度以及相对电导率的上升幅度均小于其他砧木.高盐Ca(NO3)2胁迫下,各砧木SOD、POD和CAT酶活性均高于等渗的NaCl,而盐害指数和相对电导率低于NaCl,表明Ca(NO3)2对砧木南瓜幼苗生长的危害小于NaCl.4个砧木品种的耐盐性顺序为‘青砧1号’>‘佐木南瓜’>‘丰源铁甲’>‘超霸南瓜’.

关 键 词:盐胁迫  白籽南瓜  抗氧化酶  隶属函数

Estimation of forest aboveground biomass based on remote sensing data : A review
TANG Xu-guang , LIU Dian-wei , WANG Zong-ming , JIA Ming-ming , DONG Zhang-yu , LIU Jing-yi , XU Wen-ming.Estimation of forest aboveground biomass based on remote sensing data : A review[J].Chinese Journal of Ecology,2012,31(5):1311-1318.
Authors:TANG Xu-guang  LIU Dian-wei  WANG Zong-ming  JIA Ming-ming  DONG Zhang-yu  LIU Jing-yi  XU Wen-ming
Institution:(;1.College of Horticulture, Nanjing Agricultural University/Ministry of Agriculture Key Laboratory of Southern Vegetable Crop Genetic Improvement, Nanjing 210095, China; ;2.College of Agronomy, Hebei Engineering University, Handan 056021, Hebei, China)
Abstract:According to the differences in the remote sensing data source adopted, this paper analyzed the present methods for estimating forest aboveground biomass (AGB) based on remote sensing techniques and the related research advances, and discussed the advantages and disadvantages of the inversion methods based on optical remote sensing image, microwave remote sensing data, and LiDAR data. A method integrating multi-sensor data to estimate the forest AGB was put forward, and, in view of the deficiencies in the present related researches, the focuses in the future research on the estimation of forest AGB were prospected, including developing mechanism model, considering scale issue, and integrating multi-sensor data.
Keywords:forest aboveground biomass  optical remote sensing  microwave remote sensing  LiDAR
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