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A high-efficiency identification method for salt tolerance of cotton germplasm

An identification method and technology of salt tolerance, applied in the agricultural field, can solve the problems of time-consuming and laborious identification of salt ponds, unfavorable identification of germplasm resources, and failure to consider the difference in the weight of different types of indicators.

Active Publication Date: 2015-08-05
INST OF COTTON RES CHINESE ACAD OF AGRI SCI
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AI Technical Summary

Problems solved by technology

Moreover, the identification of salt ponds is time-consuming and laborious, which is extremely unfavorable for large-scale identification of germplasm resources. Therefore, it is urgent to find a fast and accurate method for identifying the salt tolerance of cotton germplasm resources.
[0005] In the early days, it was difficult to fully and accurately reflect the true salt tolerance of cotton germplasm through a single index or a small number of indexes, and then proposed to use the comprehensive evaluation of the membership function (Li Changyan. Study on salt tolerance of coastal saline-alkali land plants [D]. Hohhot: Inner Mongolia University, 2011), principal component analysis (Liu Shaoqing, He Shoupu et al. Identification of heat tolerance of different cotton germplasm resources [J]. Journal of Plant Genetic Resources, 2013,14(2):219-220) and gray correlation analysis (Yu Meiling. Comprehensive evaluation of salt-tolerant physiological and agronomic traits of 20 safflower varieties [D]. Xinxiang: Henan Normal University, 2010) and other methods to evaluate plant stress resistance, although the one-sidedness of using individual indicators alone can be improved, there are still limitations
For example, the principal component analysis method simplifies multiple indicators by using dimensionality reduction, but ignores the close internal relationship between some indicators, and their changing trends are basically the same. These indicators actually belong to the same type, while the principal component analysis generally Reduce the dimensionality of all indicators without considering the weight differences between different types of indicators

Method used

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  • A high-efficiency identification method for salt tolerance of cotton germplasm
  • A high-efficiency identification method for salt tolerance of cotton germplasm
  • A high-efficiency identification method for salt tolerance of cotton germplasm

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Experimental program
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Effect test

Embodiment 1

[0020] Embodiment 1: build the material of standard equation

[0021] We selected two salt-tolerant germplasm resources and two salt-sensitive germplasm resources identified by us over the years, see Table 1 for details. The seedling raising method is to cultivate cotton seedlings to the three-leaf and one-heart stage by using the pot soil seedling cultivation method, and select materials with normal and consistent growth for salt stress treatment. The mass concentration of NaCl solution used for the treatment is 0.04g / mL, and the treatment time is 72h. The whole plant was used to calculate the salt damage index, and then the second true leaf was selected to measure the other 12 indexes related to the salt tolerance of the plant except the salt damage index. Another same amount of control material was planted and treated with 150mL of water.

[0022] Table 1 Materials used to construct the standard equation

[0023] Germplasm name

Embodiment 2

[0024] Embodiment 2: construct the index that standard equation needs to measure

[0025] The 13 indicators related to plant salt tolerance were identified as the raw data for constructing the standard equation of salt tolerance index, see Table 2 for details. These include the salt damage index, 3 biomass indicators, 4 chlorophyll fluorescence parameters, and 5 physiological and biochemical indicators.

[0026]Table 2 The indicators used to construct the standard equation

[0027]

[0028] Note: Since the control was not subjected to salt damage, the salt damage index only counts the plants treated with salt; F V is the variable fluorescence value, F V =F m -F 0

Embodiment 3

[0029] Embodiment 3: membership function conversion

[0030] The relative values ​​of all the above indicators were obtained through the relative value formula of the indicators. In order to realize the non-dimensionalization of all data, the membership function values ​​were calculated. The results are shown in Table 3.

[0031] Wherein, the index relative value formula is: relative value=the average value of the salt treatment value / the average value of the control;

[0032] If a certain index is negatively correlated with salt tolerance, the membership function value X is calculated using the method of fuzzy mathematics membership function value (ij) , the formula is: X (ij) =(X ij -X jmin ) / (X jmax -X jmin ),

[0033] where X (ij) Indicates the membership value of i germplasm j index; X ij Indicates the measured value of j index of germplasm i; X jmax 、X jmin are the maximum and minimum values ​​of j index of germplasm i, respectively.

[0034] If an index is po...

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Abstract

The invention provides a high-efficiency identification method for salt resistance of cotton germplasms. By utilizing a flower pot soil seedling cultivation method, cotton seedings are cultivated to a three-leaf-and-one-leaflet stage. The materials with normal and consistent growth vigour are selected and subjected to salt stress treatment and clear water treatment with the same volume respectively. The second true leaves are selected, the PSII maximum photochemical efficiencies of the true leaves with different treatments are measured respectively, the relative values are calculated, and brought into the standard equation of salt resistant indexes: D=1.943X-0.882 to calculate the salt resistant indexes and determine the salt resistance, wherein X is for a relative value of a PSII maximum photochemical efficiency and D is for a salt resistant index. The larger the salt resistant index, the stronger the salt resistance. When the method is compared to the prior art, the results of the obtained standard equation of the method are accurate and credible. The measurement method of PSII maximum photochemical efficiencies is simple and fast, can be performed in vivo, does not harm plants, and can ensure normal running of downstream experiments. The measurement time is the cotton seedling stage, so the identification time can be shortened effectively, the efficiency is raised, and the method is suitable for large scale germplasm resource identification.

Description

technical field [0001] The invention belongs to the technical field of agriculture, and in particular relates to a high-efficiency identification method for the salt tolerance of cotton germplasm. Background technique [0002] Cotton is the most important economic crop and occupies an important position in the world and our country's national economy. With the growth of the world's population, the demand for food, fiber, and oil is increasing. Land becomes a restrictive factor, about 100 million hm in my country 2 The saline-alkali land in cultivated land occupies 6.66 million hm 2 , and about 200 million hm 2 Saline-alkaline wasteland resources have not been developed and utilized, and these saline-alkali lands are mostly distributed in North China, Northwest China, Northeast China and the eastern coastal areas (Yu Shuxun, Ji Daofan, etc. China Cotton Genetics and Breeding [M]. Shandong Science and Technology Press, 2003). With the reduction of arable land, cotton planti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/64
Inventor 何守朴彭振杜雄明孙君灵贾银华潘兆娥王立如庞保印
Owner INST OF COTTON RES CHINESE ACAD OF AGRI SCI
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