不同基因型绿豆萌发期耐盐碱性分析及其鉴定指标的筛选

发布时间：2018-05-05 07:26

本文选题：绿豆 + 萌发期　；参考：《植物生理学报》2017年09期

【摘要】：为明确不同基因型绿豆(Vigna radiata)萌发期耐盐碱特性,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,从而为绿豆抗逆栽培和耐盐碱新品种选育、推广及大规模鉴定评价提供科学依据,本研究以30个绿豆品种为试验材料,采用人工气候箱内培养皿培养,以混合盐碱(NaHCO_3与Na_2CO_3的摩尔比为9:1)模拟松嫩平原盐碱环境,在萌发期选用50 mmol·L~(-1)混合盐碱溶液胁迫处理30个绿豆品种,以蒸馏水处理为对照,测定了不同基因型绿豆在对照与胁迫处理下种子发芽率(GR)、胚芽长(GL)、胚根长(RL)、胚芽鲜重(FWG)、胚根鲜重(FWR)、胚芽干重(DWG)、胚根干重(DWR)、根冠比(RSR)、相对电导率(RC)、发芽势(GP)、发芽指数(GI)和活力指数(VI)12个生长指标,以各单项指标的耐盐碱系数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12个单项指标转化为5个相互独立的综合指标,涵盖了全部数据91.74%的信息量;利用隶属函数法和聚类分析将30个绿豆品种划分为3类;采用逐步回归建立绿豆幼苗耐盐碱性评价数学模型,D=-0.161+0.604VI+0.379GR+0.167RSR+0.156RL+0.113GL(R2=0.999),并筛选出VI、GR、RSR、RL、GL五个鉴定指标,可进行不同基因型绿豆萌发期耐盐碱性强弱的快速评价与预测。
[Abstract]:In order to identify the salt-alkali tolerance characteristics of different genotypes of Vigna radiata during germination, the identification indexes of salt-alkali tolerant mung bean were screened, and a reliable mathematical evaluation model of salt-alkali tolerance of mung bean was established. In this study, 30 mung bean varieties were used as experimental materials and cultured in a culture dish in an artificial climate. The saline-alkali environment in Songnen Plain was simulated with the molar ratio of NaHCO3 to Na_2CO_3 at 9: 1. 30 varieties of mung bean were treated with mixed salt and alkali solution at germination stage, and were treated with distilled water as control. The seed germination rate (GRG), germ length (GLN), radicle length (RLN), embryo fresh weight (FWGN), radicle fresh weight (FWRN), embryo dry weight (DWGN), radicle dry weight (DWRN), root / shoot ratio (RSRS), relative conductivity (REC), germination potential (GPP), germinating index (FWR) of different genotypes of mung bean under control and stress were determined. There were 12 growth indexes, I. e., Gi) and Vitality Index (Vi). The saline-alkali tolerance of different mung bean varieties was evaluated by using the coefficient of salt-alkali tolerance of each single index as the basis for evaluating the salt-alkali tolerance of different mung bean varieties. Through principal component analysis, 12 single indexes were transformed into 5 independent comprehensive indexes, covering 91.74% of the total data, and 30 mung bean varieties were classified into 3 categories by membership function method and cluster analysis. A mathematical model for evaluating salt and alkali tolerance of mung bean seedlings was established by stepwise regression analysis. The mathematical model of salt and alkali tolerance of mung bean seedlings was established, and five identification indexes were screened out. These five indexes could be used to evaluate and predict the salt and alkali tolerance of different genotypes of mung bean at germination stage.
【作者单位】：黑龙江八一农垦大学农学院黑龙江省现代农业栽培技术与作物种质改良重点实验室;
【基金】：国家公益性行业(农业)专项(201303007) 国家科技支撑计划项目(2014BAD07B05) 黑龙江省农垦总局科技攻关项目(HNK125A-01-02) 大庆市科技计划项目(zd-2016-098) 高校学成引进人才科研启动计划项目(XYB2014-02)~~
【分类号】：S522

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