| 于崧,梁海芸,郭潇潇,张翼飞,史京京,付鸾鸿.不同基因型绿豆苗期耐盐碱性分析及其鉴定指标的筛选[J].干旱地区农业研究,2018,36(4):223~232 |
| 不同基因型绿豆苗期耐盐碱性分析及其鉴定指标的筛选 |
| Analysis of saline-alkaline tolerance and determination of saline-alkaline tolerance evaluation indicators in seedling stage of different mung bean genotypes |
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| DOI：10.7606/j.issn.1000-7601.2018.04.32 |
| 中文关键词: 绿豆 耐盐碱指数 主成分分析 聚类分析 鉴定指标 |
| 英文关键词:mung bean saline–alkaline tolerance coefficient principal components analysis cluster analysis indentification indicators |
| 基金项目:国家公益性行业（农业）专项（201303007）；国家科技支撑计划项目（2014BAD07B00）；黑龙江省指导性项目（2014BAD07B05-H03）；“三横三纵”科研支撑体系青年创新人才项目；高校学成引进人才科研启动计划项目（XYB2014-02） |
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| 中文摘要: |
| 为明确不同基因型绿豆幼苗耐盐碱特性，筛选耐盐碱绿豆鉴定指标，建立可靠的绿豆耐盐碱性数学评价模型，以30个绿豆品种为试验材料，按NaHCO3与草炭、蛭石复合基质重量比设置0（CK）、0.6%胁迫两个处理水平，对不同基因型绿豆幼苗的20个形态与生理生化指标进行测定，以各单项指标的耐盐碱系数（SATC）作为衡量耐盐碱性的依据，利用多元分析方法对不同绿豆品种耐盐碱能力进行了综合评价。通过主成分分析将20个单项指标转化为8个相互独立的综合指标，通过隶属函数法计算获得的各品种综合耐盐碱能力D值，利用聚类分析将30个绿豆品种划分为4类，其中中绿9号、绿丰2号、吉绿9号和洮绿3号为高度耐盐碱品种；采用逐步回归建立绿豆幼苗耐盐碱性评价数学模型，并筛选出净光合速率、相对电导率、最大光化学效率、可溶性糖含量、初始荧光、地上干重、地下鲜重7个鉴定指标，可进行不同基因型绿豆耐盐碱性强弱的快速评价与预测。 |
| 英文摘要: |
| In order to clarify the saline–alkaline tolerance characteristics screen suitable evaluation indicators, and establish reliable mathematical evaluation model for saline–alkaline tolerance of mung bean,, 30 varieties were used as experimental materials in this study. the weight ratio of NaHCO3 to growth medium which was composed of 50% grass charcoal and 50% vermiculite was set to 0(CK) and 0.6% saline–alkaline stress at two treatment levels. the 20 morphological and physiological and biochemical indicators of different genotypes of mung bean seedlings under control and saline–alkaline stress treatments were determined. based on the saline–alkaline tolerance coefficient (SATC) of each individual indicator, different genotypes mung bean were evaluated by principal components analysis, hierarchical cluster analysis and regression analysis. Though theprincipal component analysis, 20 individual indicators were converted into 8 independent comprehensive components. Based on the comprehensive saline–alkaline tolerance value (D) of each variety obtained by the subordinate function method, 30 mung bean varieties were classified into 4 types by cluster analysis. Among them,Zhonglv 9, Lvfeng 2, Jilv 9 and Taolv 3 were strongly saline–alkaline tolerant varieties. a mathematical evaluation model of saline–alkaline tolerance for mung bean was established by stepwise regression analysis. According to the model, 7 indicators closely related to the saline–alkaline tolerance, including net photosynthetic (Pn), relative electrical conductivity (REC), maximum photochemical efficiency of PSII (Fv/Fm), soluble sugar content (SS), initial fluorescence (Fo), aboveground dry matter weight (DWG), underground fresh weight (FWUG), can be used to quickly evaluate and predict the saline–alkaline tolerance of different genotypes of mung bean. |
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