Method and system for rapidly identifying salt tolerance of eggplants

Abstract

The invention provides a method for rapidly identifying salt tolerance of eggplants. The method comprises the following steps: performing salt stress treatment in a seedling stage of the eggplants; measuring the growth characteristics of the eggplant seedlings after salt stress treatment, wherein the growth characteristics comprise plant height, stem diameter, leaf number, leaf area, root length, root surface area, root volume, root tip number, chlorophyll content, malondialdehyde content, root water content, stem water content and leaf water content; calculating a salt tolerance comprehensive evaluation value according to the growth characteristics; based on the salt tolerance comprehensive evaluation value, salt tolerance classification is conducted on the eggplant seedlings through a correlation analysis method, a principal component analysis method, a membership function analysis method and a clustering analysis method, and classification results are obtained; and based on a classification result, constructing a prediction model through a stepwise linear regression analysis method so as to accurately identify the salt tolerance of the eggplant germplasm resource in the seedling stage. According to the method, through multi-index comprehensive evaluation and mathematical model prediction, the efficiency and accuracy of eggplant salt tolerance identification are improved.

Description

Technical Field

[0001] The invention relates to the technical field of eggplant salt tolerance identification, and in particular to a method and system for rapidly identifying eggplant salt tolerance. Background Art

[0002] Soil salinization is an increasingly serious global phenomenon that seriously affects plant growth and agricultural production. Salt stress affects all stages of crop life, including seed germination, growth and development, flowering and fruiting, posing a major threat to sustainable crop production and food security. On the one hand, crops can adapt to salt stress through morphological, physiological, biochemical and molecular changes. For example, they maintain their own ion homeostasis through osmotic regulation, prevent excessive accumulation of toxic ions in the cytoplasm through ion compartmentalization, and provide antioxidant enzyme activity to protect cells from oxidative damage, thereby improving their adaptability to salt stress environments. On the other hand, people improve the utilization efficiency of saline-alkali land by screening or breeding salt-tolerant crop varieties.

[0003] However, current research on eggplant salt tolerance focuses primarily on genetic improvement and physiological and biochemical mechanisms. There are few eggplant germplasms with strong salt tolerance, and there is a lack of accurate evaluation of eggplant salt tolerance. Therefore, it is very necessary to design a method and system for rapidly identifying eggplant salt tolerance. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for quickly identifying the salt tolerance of eggplant, so as to improve the efficiency and accuracy of the identification of the salt tolerance of eggplant through multi-index comprehensive evaluation and mathematical model prediction.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A method for rapidly identifying salt tolerance of eggplant comprises the following steps:

[0007] Salt stress treatment was applied to eggplant seedlings;

[0008] The growth characteristics of eggplant seedlings after salt stress treatment were measured; the growth characteristics included plant height, stem diameter, number of leaves, leaf area, root length, root surface area, root volume, number of root tips, chlorophyll content, malondialdehyde content, root water content, stem water content, and leaf water content;

[0009] The comprehensive evaluation value of salt tolerance was calculated based on growth characteristics;

[0010] Based on the comprehensive evaluation value of salt tolerance, the salt tolerance of eggplant seedlings was classified by correlation analysis, principal component analysis, membership function analysis and cluster analysis, and the classification results were obtained.

[0011] Based on the classification results, a prediction model was constructed using stepwise linear regression analysis to identify the salt tolerance of eggplant.

[0012] Optionally, salt stress treatment is performed during the eggplant seedling stage, including:

[0013] Sow different varieties of eggplant seeds in different nutrient pots; there are five eggplant seeds;

[0014] When the eggplant seedlings grow to the stage of two leaves and one heart, keep three eggplant seedlings with the same growth status in the nutrient pot;

[0015] When the eggplant seedlings grew to the four-leaf and one-heart stage, they were treated with salt stress for 20 days, and a control group and a treatment group were set up; three biological replicates were set for each of the control group and the treatment group.

[0016] Optionally, when the eggplant seedlings grow to the four-leaf and one-heart stage, the eggplant seedlings are subjected to salt stress treatment for 20 days, specifically: on the 1st and 3rd days, the treatment group is irrigated with 200mmol / L NaCl solution; on the 5th and 7th days, the treatment group is irrigated with 300mmol / L NaCl solution; on the 9th and 11th days, the treatment group is irrigated with 400mmol / L NaCl solution; on the 13th and 15th days, the treatment group is irrigated with 500mmol / L NaCl solution; on the 17th and 20th days, the treatment group is irrigated with 600mmol / L NaCl solution; the volume of the NaCl solution irrigated is 170ml; the control group is irrigated with the same volume of tap water.

[0017] Optionally, the growth characteristics of eggplant seedlings after salt stress treatment are measured, including:

[0018] Plant height was measured using a steel ruler;

[0019] Stem diameter was measured by electronic vernier calipers;

[0020] Leaf area was measured by a leaf area scanner;

[0021] Root length, root surface area, root volume, and root tip number were measured using a plant image analyzer;

[0022] The eggplant seedlings were washed, blanched, dried and weighed in sequence to obtain the root water content, stem water content and leaf water content;

[0023] Chlorophyll content was measured by chlorophyll meter;

[0024] Malondialdehyde content was measured by the thiobarbituric acid method.

[0025] Optionally, the eggplant seedlings are sequentially cleaned, withered, dried and weighed to obtain the root moisture content, stem moisture content and leaf moisture content, specifically: the cleaned eggplant seedlings are divided into three parts: roots, stems and leaves, and the moisture of the roots, stems and leaves is wiped off and then the fresh weight is weighed; the roots, stems and leaves are respectively placed in kraft paper envelopes, the kraft paper envelopes are placed in an oven for withering at 120°C for 20 minutes, and then the temperature of the oven is lowered to 70°C until it is dried to a constant weight, and the dry weight is obtained by weighing; the root moisture content, stem moisture content and leaf moisture content are obtained according to the fresh weight and dry weight.

[0026] Optionally, the malondialdehyde content is measured by the thiobarbituric acid method, specifically: 0.2 g of fresh tissue sample is weighed and added to 1.6 ml of trichloroacetic acid with a weight-to-volume percentage of 10%, and then ground. After centrifugation at 12,000 g for 10 minutes, 1.5 ml of the supernatant is added to 1.5 ml of thiobarbituric acid with a weight-to-volume percentage of 0.67%, and the mixture is placed in a boiling water bath and kept warm for 30 minutes. After cooling, the supernatant is centrifuged at 12,000 g for 2 minutes, and the absorbance is measured at wavelengths of 450 nm, 532 nm and 600 nm to obtain the malondialdehyde content.

[0027] Optionally, a comprehensive evaluation value of salt tolerance is calculated based on growth characteristics, including:

[0028] The salt tolerance index was obtained based on the ratio of growth characteristics between the treatment and control groups;

[0029] The coefficient of variation was calculated based on the growth characteristics;

[0030] The membership function is calculated based on the growth characteristics;

[0031] The comprehensive evaluation value of salt tolerance was obtained based on the coefficient of variation and membership function.

[0032] Optionally, based on the comprehensive evaluation value of salt tolerance, the salt tolerance of eggplant seedlings is classified by correlation analysis, principal component analysis, membership function analysis, and cluster analysis, respectively, to obtain classification results, including:

[0033] Based on the salt tolerance index, the growth characteristics were divided into three categories by correlation analysis, and the correlation classification results were obtained. The salt tolerance of eggplant seedlings was classified according to the correlation classification results.

[0034] Based on the salt tolerance index, principal components of growth characteristics were selected by principal component analysis, and the salt tolerance of eggplant seedlings was classified according to the principal components.

[0035] Based on the comprehensive evaluation value of salt tolerance, the salt tolerance of eggplant seedlings was classified by membership function analysis.

[0036] Based on the comprehensive evaluation value of salt tolerance, the eggplant seedlings were clustered by cluster analysis.

[0037] A system for rapid identification of salt tolerance of eggplant, comprising:

[0038] Cultivation module for salt stress treatment of eggplant seedlings;

[0039] The data acquisition module is used to measure the growth characteristics of eggplant seedlings after salt stress treatment; the growth characteristics include: plant height, stem diameter, number of leaves, leaf area, root length, root surface area, root volume, number of root tips, chlorophyll content, malondialdehyde content, root water content, stem water content and leaf water content;

[0040] Salt tolerance evaluation module, used to calculate the comprehensive evaluation value of salt tolerance based on growth characteristics;

[0041] The data analysis module is used to classify the salt tolerance of eggplant seedlings based on the comprehensive evaluation value of salt tolerance through correlation analysis, principal component analysis, membership function analysis and cluster analysis to obtain classification results;

[0042] The salt tolerance prediction module is used to construct a prediction model based on the classification results through stepwise linear regression analysis to identify the salt tolerance of eggplant.

[0043] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: the method provided by the present invention for rapidly identifying the salt tolerance of eggplant, the method comprising: subjecting the eggplant seedlings to salt stress treatment during the seedling stage; measuring the growth characteristics of the eggplant seedlings after the salt stress treatment; the growth characteristics comprising: plant height, stem diameter, number of leaves, leaf area, root length, root surface area, root volume, number of root tips, chlorophyll content, malondialdehyde content, root water content, stem water content, and leaf water content; calculating a comprehensive salt tolerance evaluation value based on the growth characteristics; based on the comprehensive salt tolerance evaluation value, classifying the eggplant seedlings by salt tolerance using correlation analysis, principal component analysis, membership function analysis, and cluster analysis to obtain classification results; and constructing a prediction model based on the classification results using stepwise linear regression analysis to identify the salt tolerance of the eggplant. This method improves the efficiency and accuracy of eggplant salt tolerance identification through multi-index comprehensive evaluation and mathematical model prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 This is a flow chart of the method for rapidly identifying salt tolerance of eggplant according to the present invention;

[0046] Figure 2 This is a correlation analysis result diagram of an embodiment of the present invention;

[0047] Figure 3 This is a cluster analysis result diagram of an embodiment of the present invention;

[0048] Figure 4 This is a linear fitting diagram of the prediction model of an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0051] like Figure 1 As shown, the present invention provides a method for quickly identifying salt tolerance of eggplant, comprising the following steps:

[0052] Step 100: performing salt stress treatment on eggplant seedlings;

[0053] Specifically, this example selected 165 eggplant germplasm resources for salt tolerance assessment. Five seeds of each variety were selected and sown in different nutrient pots. Control and treatment groups were set up, with three biological replicates in each group. When the seedlings reached the two-leaf, one-core stage, they were thinned out, retaining three seedlings of uniform growth in each nutrient pot. When the seedlings reached the four-leaf, one-core stage, they were subjected to salt stress for 20 days.

[0054] More specifically, salt stress treatment was performed only on the treated group. The plants were irrigated with 200 mmol / L NaCl solution on days 1 and 3; 300 mmol / L NaCl solution on days 5 and 7; 400 mmol / L NaCl solution on days 9 and 11; 500 mmol / L NaCl solution on days 13 and 15; and 600 mmol / L NaCl solution on days 17 and 20. Each irrigated volume of NaCl solution was 170 ml. The control group was also irrigated with the same volume of tap water.

[0055] Step 200: Measuring growth characteristics of eggplant seedlings after salt stress treatment; growth characteristics include: plant height, stem diameter, number of leaves, leaf area, root length, root surface area, root volume, number of root tips, chlorophyll content, malondialdehyde content, root water content, stem water content, and leaf water content. The method for measuring each growth characteristic in this embodiment is as follows:

[0056] Plant height: Measure the height from the substrate surface to the growing point of the seedling using a steel ruler;

[0057] Stem diameter: Measure the diameter of the seedling base (about 3 cm above the substrate) using an electronic vernier caliper.

[0058] Leaf area and leaf number: The number of leaves from the first true leaf to all fully expanded leaves is the leaf number. Leaf area is measured using a LI-3100C leaf area scanner.

[0059] Root length, root surface area, root volume, and number of root tips: Use a plant image analyzer system, in this example, the Hangzhou Wanshen detection system or LA-S to scan the root system of the test material and use the Wanshen root system analysis software to analyze the root length, root surface area, root volume, and number of root tips;

[0060] Water content of roots, stems, and leaves: Carefully wash the roots of each seedling and divide the seedling into three parts: roots, stems, and leaves. Wipe off excess water with toilet paper and weigh the fresh weight. Then, place the roots, stems, and leaves in kraft paper envelopes and place them in a 120°C oven for 20 minutes. Then, reduce the temperature to 70°C and dry them to constant weight. Weigh the dry weights of each tissue and calculate the water content of each tissue using the formula (fresh weight - dry weight) / fresh weight.

[0061] Chlorophyll content: Use the chlorophyll meter SPAD-502PLUS to measure the chlorophyll content of the 3rd to 4th leaves from the top;

[0062] Malondialdehyde content: Measured using the thiobarbituric acid method. Weigh approximately 0.2 g of fresh tissue sample, add 1.6 ml of 10% trichloroacetic acid, and grind. Centrifuge at 12,000 g for 10 minutes. Remove 1.5 ml of the supernatant and add 1.5 ml of 0.67% thiobarbituric acid. Place in a boiling water bath for 30 minutes. Cool and centrifuge at 12,000 g for 2 minutes. Measure the absorbance of the supernatant at 450 nm, 532 nm, and 600 nm to calculate the malondialdehyde content.

[0063] Step 300: Calculating a comprehensive evaluation value of salt tolerance based on growth characteristics;

[0064] Specifically, based on the measured data of growth characteristics, the salt tolerance index STI of each indicator was calculated, STI = measured value of treatment group / measured value of control group. The coefficient of variation CV of each indicator was calculated according to the formula CV = (σ / μ) × 100%, where σ and μ represent the standard deviation and mean of each growth characteristic indicator respectively. Then, based on the fuzzy mathematics theory, the formula i=1,2,3...nCalculate the membership function U, where X i is the i-th growth characteristic, X max and X min are the maximum and minimum values ​​of the ith growth characteristic of each variety. Then, through the formula i=1,2,3...n calculate the weight function W i , where P i Represents the contribution of the i-th growth feature. Finally, the formula i=1,2,3…n The comprehensive evaluation value D of salt tolerance of each eggplant variety is calculated to determine the salt tolerance of different eggplant germplasms. The larger the D value, the stronger the salt tolerance of the variety.

[0065] Step 400: Based on the comprehensive evaluation value of salt tolerance, the eggplant seedlings are classified by salt tolerance using correlation analysis, principal component analysis, membership function analysis, and cluster analysis to obtain classification results.

[0066] Specifically, analysis of salt tolerance indices revealed significant variations in the coefficients of variation for various growth characteristics, as shown in Table 1, ranging from 4.67% to 49.44%. The coefficient of variation for leaf area salt tolerance was the highest, at 49.44%, followed by root volume (45.25%), root tip number (43.80%), and root surface area (42.79%). The lowest coefficient of variation was for root water content (4.67%). These results suggest that various eggplant germplasm indicators exhibit varying degrees of sensitivity to salt stress.

[0067] Table 1 Analysis of coefficient of variation of growth characteristics

[0068]

[0069] like Figure 2As shown, the salt tolerance indices of 13 growth characteristics were classified into three categories based on correlation analysis. Correlations between chlorophyll content, malondialdehyde content, leaf number, and root water content clustered together in one category. Correlations between root-related indicators (root tip number, root length, root volume, and root surface area) also clustered together in one category. Leaf water content, plant height, stem water content, leaf area, and stem diameter also clustered together in one category. The analysis concluded that the highest correlation coefficient between root length and root surface area was 0.907, which was highly significant (p < 0.01). This was followed by correlations between root surface area and root volume (0.901, p < 0.01), and between root length and root volume (0.704, p < 0.01). Correlations between the salt tolerance indices of the remaining indicators were all below 0.500. This suggests that a certain degree of correlation exists among these indicators. A single indicator alone is insufficient for evaluating salt tolerance in eggplant germplasm. Multivariate analysis is needed to comprehensively evaluate these indicators and establish a reliable evaluation system.

[0070] Principal component analysis (PCA) was performed on the salt tolerance index of 13 growth characteristics. As shown in Table 2, the contribution rates of the first seven principal components were 22.998, 13.432, 9.688, 9.000, 8.839, 8.816, and 8.606, respectively, with a cumulative contribution rate of 81.378%. These principal components represent almost all the information of the growth characteristics, and their eigenvalues ​​are all greater than 1. Therefore, the first seven principal components were selected as the main factors for evaluating salt tolerance in eggplant seedlings. Based on the eigenvectors of each growth characteristic, it can be seen that root surface area, root length, root volume, and root tip number have large loadings in PCA1; leaf area, plant height, and stem diameter have large loadings in PCA2; leaf number has a large loading in PCA3; malondialdehyde content has a large loading in PCA4; leaf water content and root water content have large loadings in PCA5; chlorophyll content has a large loading in PCA6; and stem water content has a large loading in PCA7.

[0071] Table 2 Principal component analysis of salt tolerance index

[0072]

[0073]

[0074] In this embodiment, the membership function values ​​of 165 materials in 7 principal components and the weights W of each growth characteristic in the principal component contribution rate are calculated. i Further analysis of the D value of the comprehensive evaluation of salt tolerance of different eggplant varieties showed that the material with the largest D value was 24QX9, which was 0.601, indicating that it had the strongest salt tolerance, while the material with the smallest D value was 21C60, which was 0.601, indicating that it had the weakest salt tolerance.

[0075] The comprehensive evaluation value of salt tolerance, D value, i.e. the true value D(T), is clustered and classified by the inter-group linkage method, as shown in Figure 3As shown, the salt tolerance of 165 eggplant materials was divided into five levels, including 6 high salt tolerance, 35 salt tolerance, 67 medium salt tolerance, 49 salt sensitive and 8 high salt sensitive.

[0076] Step 500: Based on the classification results, a prediction model is constructed by stepwise linear regression analysis to identify the salt tolerance of eggplant.

[0077] Specifically, this embodiment uses the value as the dependent variable and the salt tolerance index of 13 growth characteristics as the independent variable for stepwise linear regression analysis, and establishes the optimal regression equation, which is expressed as follows: D(F)=-0.424+0.206×root surface area+0.27×number of leaves+0.347×leaf water content+0.049×malondialdehyde+0.255×stem water content, where D(F) is the predicted value. The optimal regression equation R 2 =0.9002. Figure 4 As shown, the linear fitting degree of D(F) and D(T) is 90.02%, indicating that the accuracy of the prediction model of this embodiment is 90.02%.

[0078] The present invention also provides a system for rapidly identifying salt tolerance of eggplant, comprising:

[0079] Cultivation module for salt stress treatment of eggplant seedlings;

[0080] Data acquisition module, used to measure the growth characteristics of eggplant seedlings after salt stress treatment; growth characteristics include: plant height, stem diameter, number of leaves, leaf area, root length, root surface area, root volume, number of root tips, chlorophyll content, malondialdehyde content, root water content, stem water content and leaf water content

[0081] Salt tolerance evaluation module, used to calculate the comprehensive evaluation value of salt tolerance based on growth characteristics;

[0082] The data analysis module is used to classify the salt tolerance of eggplant seedlings based on the comprehensive evaluation value of salt tolerance through correlation analysis, principal component analysis, membership function analysis and cluster analysis to obtain classification results;

[0083] The salt tolerance prediction module is used to construct a prediction model based on the classification results through stepwise linear regression analysis to identify the salt tolerance of eggplant.

[0084] The beneficial effects of the present invention are as follows:

[0085] 1) By combining the membership function and the principal component weight algorithm to calculate the comprehensive evaluation value, the salt tolerance level can be accurately quantified, solving the problem of strong subjectivity in traditional identification.

[0086] 2) By identifying five core parameters from 13 growth characteristics, efficient screening of key indicators was performed, reducing measurement workload and identification costs;

[0087] 3) The prediction accuracy and precision were improved by establishing a linear regression equation;

[0088] 4) By conducting salt tolerance identification only within 20 days of the seedling stage, the identification cycle is shortened and the salt tolerance breeding process is accelerated.

[0089] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0090] The present invention uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only intended to help understand the method and core concept of the present invention. At the same time, those skilled in the art will find that the specific implementation methods and application scopes may vary based on the concept of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims

1. A method for rapidly identifying salt tolerance of eggplant, characterized in that: The steps include: Salt stress treatment was applied to eggplant seedlings; Determining the growth characteristics of the eggplant seedlings after salt stress treatment; the growth characteristics include: plant height, stem diameter, number of leaves, leaf area, root length, root surface area, root volume, number of root tips, chlorophyll content, malondialdehyde content, root water content, stem water content and leaf water content; Calculating a comprehensive evaluation value of salt tolerance based on the growth characteristics; Based on the comprehensive evaluation value of salt tolerance, the salt tolerance of the eggplant seedlings is classified by correlation analysis, principal component analysis, membership function analysis and cluster analysis to obtain classification results; Based on the classification results, a prediction model was constructed by stepwise linear regression analysis to identify the salt tolerance of eggplant.

2. The method for rapid identification of salt tolerance of eggplant according to claim 1, wherein Salt stress treatment was carried out during the eggplant seedling stage, including: Sowing five eggplant seeds of different varieties in different nutrient pots; When the eggplant seedlings grow to the stage of two leaves and one heart, retaining three eggplant seedlings in the same growth state in the nutrient pot; When the eggplant seedlings grew to the four-leaf and one-heart stage, the eggplant seedlings were subjected to salt stress treatment for 20 days, and a control group and a treatment group were set; three biological replicates were set for each of the control group and the treatment group.

3. The method for rapid identification of salt tolerance of eggplant according to claim 2, wherein When the eggplant seedlings grew to the four-leaf and one-heart stage, the eggplant seedlings were subjected to salt stress treatment for 20 days, specifically: 200 mmol / L NaCl solution was irrigated to the treatment group on the 1st and 3rd day; 300 mmol / L NaCl solution was irrigated to the treatment group on the 5th and 7th day; 400 mmol / L NaCl solution was irrigated to the treatment group on the 9th and 11th day; 500 mmol / L NaCl solution was irrigated to the treatment group on the 13th and 15th day; 600 mmol / L NaCl solution was irrigated to the treatment group on the 17th and 20th day; the volume of the NaCl solution irrigated was 170 ml; the control group was irrigated with the same volume of tap water.

4. The method for rapid identification of salt tolerance of eggplant according to claim 1, wherein Determining the growth characteristics of the eggplant seedlings after salt stress treatment includes: The plant height was measured by a steel ruler; The stem diameter is measured by an electronic vernier caliper; measuring the leaf area by a leaf area scanner; measuring the root length, the root surface area, the root volume and the number of root tips by a plant image analyzer; The eggplant seedlings are sequentially cleaned, sterilized, dried, and weighed to obtain the root water content, the stem water content, and the leaf water content; Measuring the chlorophyll content by a chlorophyll meter; The malondialdehyde content was measured by the thiobarbituric acid method.

5. The method for rapid identification of salt tolerance of eggplant according to claim 4, characterized in that: The eggplant seedlings are sequentially cleaned, withered, dried and weighed to obtain the root water content, the stem water content and the leaf water content, specifically: the cleaned eggplant seedlings are divided into three parts, namely, roots, stems and leaves, and the moisture of the roots, stems and leaves is wiped off, and then the fresh weight is weighed; the roots, stems and leaves are respectively placed in kraft paper envelopes, and the kraft paper envelopes are placed in an oven for withering at 120° C. for 20 minutes, and then the temperature of the oven is lowered to 70° C. until the seeds are dried to a constant weight, and the dry weight is obtained by weighing; the root water content, the stem water content and the leaf water content are obtained according to the fresh weight and the dry weight.

6. The method for rapid identification of salt tolerance of eggplant according to claim 4, characterized in that: The malondialdehyde content is measured by the thiobarbituric acid method, specifically: 0.2 g of fresh tissue sample is weighed and added to 1.6 ml of trichloroacetic acid with a weight-to-volume percentage of 10%, and then ground. After centrifugation at 12,000 g for 10 minutes, 1.5 ml of the supernatant is added to 1.5 ml of thiobarbituric acid with a weight-to-volume percentage of 0.67%, and the mixture is placed in a boiling water bath for 30 minutes. After cooling, the supernatant is centrifuged at 12,000 g for 2 minutes, and the absorbance is measured at wavelengths of 450 nm, 532 nm, and 600 nm to obtain the malondialdehyde content.

7. The method for rapid identification of salt tolerance of eggplant according to claim 2, characterized in that: The comprehensive evaluation value of salt tolerance is calculated based on the growth characteristics, including: Obtaining a salt tolerance index based on the ratio of the growth characteristics of the treatment group and the control group; Calculating the coefficient of variation based on the growth characteristics; Calculating a membership function according to the growth characteristics; The comprehensive evaluation value of salt tolerance is calculated based on the coefficient of variation and the membership function.

8. The method for rapid identification of salt tolerance of eggplant according to claim 7, characterized in that: Based on the comprehensive evaluation value of salt tolerance, the salt tolerance of the eggplant seedlings was classified by correlation analysis, principal component analysis, membership function analysis and cluster analysis, respectively, to obtain classification results, including: Based on the salt tolerance index, the growth characteristics are divided into three categories by the correlation analysis method to obtain correlation classification results, and the salt tolerance of the eggplant seedlings is classified according to the correlation classification results; Based on the salt tolerance index, selecting the principal components of the growth characteristics by the principal component analysis method, and classifying the salt tolerance of the eggplant seedlings according to the principal components; Based on the comprehensive evaluation value of salt tolerance, the eggplant seedlings are classified according to salt tolerance by using the membership function analysis method; Based on the comprehensive evaluation value of salt tolerance, the eggplant seedlings are clustered by the cluster analysis method.

9. A system for rapidly identifying salt tolerance of eggplant, characterized in that: include: Cultivation module for salt stress treatment of eggplant seedlings; a data acquisition module for measuring growth characteristics of the eggplant seedlings after salt stress treatment; the growth characteristics include: plant height, stem diameter, number of leaves, leaf area, root length, root surface area, root volume, number of root tips, chlorophyll content, malondialdehyde content, root water content, stem water content, and leaf water content; A salt tolerance evaluation module, configured to calculate a comprehensive salt tolerance evaluation value based on the growth characteristics; A data analysis module is used to classify the salt tolerance of the eggplant seedlings based on the comprehensive evaluation value of salt tolerance by using correlation analysis, principal component analysis, membership function analysis and cluster analysis to obtain classification results; The salt tolerance prediction module is used to construct a prediction model based on the classification results through a stepwise linear regression analysis method to identify the salt tolerance of eggplant.

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