| 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 |
| Key Words: mung bean saline–alkaline tolerance coefficient principal components analysis cluster analysis indentification indicators |
| Author Name | Affiliation | | YU Song | College of Agronomy, Heilongjiang Bayi Agricultural University/ Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | LIANG Hai-yun | College of Agronomy, Heilongjiang Bayi Agricultural University/ Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | GUO Xiao-xiao | College of Agronomy, Heilongjiang Bayi Agricultural University/ Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | ZHANG Yi-fei | College of Agronomy, Heilongjiang Bayi Agricultural University/ Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | SHI Jing-jing | College of Agronomy, Heilongjiang Bayi Agricultural University/ Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | FU Luan-hong | College of Agronomy, Heilongjiang Bayi Agricultural University/ Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China |
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| Abstract: |
| 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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