Pea germplasm resource phenotypic character rapid positioning method based on cloud platform

Abstract

The invention discloses a pea germplasm resource phenotypic character rapid positioning method based on a cloud platform, and relates to the technical field of electronic digital data processing. According to the method, firstly, the biological information of each pea plant is collected, the phenotypic character data and growth information of the pea plants can be analyzed more accurately, then the phenotypic character data of each pea plant is analyzed, and the pea plants meeting the breeding target can be identified more accurately; according to the method, the growth information of the pea plants conforming to the phenotypic characters is analyzed under various environmental conditions, the pea plants excellent in performance under different environments can be identified, the stability and the high efficiency in the breeding process are improved, finally, the pea plants conforming to the growth performance are obtained through screening, the phenotypic characters of germplasm resources are positioned, and the breeding efficiency is improved. The utilization efficiency and the positioning accuracy of pea germplasm resources can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to a method for quickly locating phenotypic traits of pea germplasm resources based on a cloud platform. Background Art

[0002] In the field of phenotypic trait positioning technology of germplasm resources, data analysis technology can be used to analyze the growth status data of peas. Since the phenotypic trait positioning of pea germplasm resources is easily affected by environmental factors, it will lead to inaccurate data analysis, affect the accuracy of phenotypic trait analysis of germplasm resources, lead to inaccurate positioning of germplasm resources, affect subsequent breeding efficiency and selection effects, affect the scientific nature of agricultural production decisions, and may lead to a decline in crop yield and quality.

[0003] Prior art, such as the invention patent announcement with announcement number: CN105488234B, discloses a method for screening similar varieties in rice-specific tests based on phenotypic traits. The method first establishes a rice variety phenotypic trait database, then imports the application variety number, name, and trait expression state observation value provided by the applicant or the trait data collected by the testing agency into the database; corresponding to the expression state of each trait of each application variety, the corresponding expression state range is entered into the database according to the pre-set safe value range of the expression state of the known variety trait; the database screens out similar varieties that meet the conditions.

[0004] Combined with the above scheme, it is found that currently in the field of phenotypic trait positioning technology of germplasm resources, usually only the data in the phenotypic trait database of plants are analyzed. The analysis process is relatively complicated and cannot reduce the impact of environmental factors and other factors on phenotypic trait analysis. It will affect the accuracy of germplasm resource positioning, resulting in inaccurate positioning results, affecting the selection and optimization of germplasm resources, and further affecting the yield and quality improvement of crops. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method for quickly locating phenotypic traits of pea germplasm resources based on a cloud platform, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical scheme: a method for quickly locating phenotypic traits of pea germplasm resources based on a cloud platform, comprising the cloud platform obtaining the biological information of each pea plant, wherein the biological information of each pea plant includes the phenotypic trait data of each pea plant and the growth information of each pea plant.

[0007] The phenotypic trait data of each pea plant are analyzed to obtain the phenotypic trait compliance assessment value of each pea plant, and the phenotypic trait compliance assessment result of each pea plant is obtained according to the phenotypic trait compliance assessment value of each pea plant, and then the pea plants that meet the phenotypic traits are screened out.

[0008] The growth information of each phenotypic trait that conforms to the pea plant under each environmental condition is analyzed to obtain a comprehensive evaluation value of the growth performance of each phenotypic trait that conforms to the pea plant under each environmental condition.

[0009] According to the comprehensive evaluation value of the growth performance of pea plants that meet the phenotypic traits under various environmental conditions, the analysis results of the growth performance of pea plants that meet the phenotypic traits under various environmental conditions are obtained, and the pea plants that meet the growth performance are screened.

[0010] The phenotypic traits of the germplasm resources of pea plants that meet the growth performance requirements are located and displayed on a visual screen.

[0011] Furthermore, the phenotypic trait data of each pea plant are analyzed, and the specific process is: the phenotypic trait data of each pea plant includes structural trait data of each pea plant and physiological trait data of each pea plant.

[0012] The structural trait data of each pea plant include the height, total number of leaves, average leaf area, and total number of pods of each pea plant.

[0013] A comprehensive analysis was performed on the height, total number of leaves, average leaf area, and total number of pods of each pea plant, and the structural traits of each pea plant were found to be consistent with the evaluation values.

[0014] The physiological trait data of each pea plant include the photosynthetic rate, stomatal conductance and transpiration rate of each pea plant.

[0015] Several supervision cycles were set up, and the photosynthetic rate, stomatal conductance and transpiration rate of each pea plant in each supervision cycle were comprehensively analyzed to obtain the physiological characteristics of each pea plant in accordance with the evaluation value.

[0016] Furthermore, the phenotypic trait conformity assessment value of each pea plant is obtained by performing a comprehensive analysis on the structural trait conformity assessment value of each pea plant and the physiological trait conformity assessment value of each pea plant to obtain the phenotypic trait conformity assessment value of each pea plant.

[0017] Furthermore, the phenotypic trait compliance assessment result of each pea plant is obtained according to the phenotypic trait compliance assessment value of each pea plant, and the specific process is: the phenotypic trait compliance assessment result of each pea plant includes compliance and non-compliance.

[0018] The phenotypic trait compliance assessment value of each pea plant is compared with the set phenotypic trait compliance assessment threshold. If the phenotypic trait compliance assessment value of a pea plant is lower than the set phenotypic trait compliance assessment threshold, the phenotypic trait compliance assessment result of the pea plant is marked as non-compliant. If the phenotypic trait compliance assessment value of a pea plant is higher than or equal to the set phenotypic trait compliance assessment threshold, the phenotypic trait compliance assessment result of the pea plant is marked as compliant, thereby obtaining the phenotypic trait compliance assessment results of each pea plant.

[0019] Furthermore, the screening out of pea plants that meet the various phenotypic traits specifically involves the following process: extracting the phenotypic trait compliance assessment results of each pea plant; if the phenotypic trait of a pea plant meets the assessment result, obtaining the trait type data of the pea plant and comparing them with the set thresholds corresponding to the trait type data; if the trait type data of the pea plant are all lower than the set thresholds corresponding to the trait type data, the pea plant is recorded as a pea plant that does not meet the phenotypic trait; if the trait type data of the pea plant are higher than or equal to the set thresholds corresponding to the trait type data, the pea plant is recorded as a pea plant that meets the phenotypic trait; and the screening is performed to obtain pea plants that meet the various phenotypic traits.

[0020] Furthermore, the comprehensive evaluation value of the growth performance of each phenotypic trait in accordance with the environmental conditions is obtained, and the specific process is as follows: the growth information of each phenotypic trait in accordance with the pea plant includes the photosynthetic rate, relative water content, stomatal conductance, growth rate, and chlorophyll content of each phenotypic trait in accordance with the pea plant.

[0021] A comprehensive analysis was conducted on the photosynthetic rate, relative water content, stomatal conductance, growth rate, and chlorophyll content of each phenotypic trait that was consistent with the pea plant under each environmental condition in each regulatory cycle, and a comprehensive evaluation value of the growth performance of each phenotypic trait that was consistent with the pea plant under each environmental condition was obtained.

[0022] Furthermore, the analysis results of the growth performance of pea plants conforming to each phenotypic trait under each environmental condition are obtained in the following specific process: the analysis results of the growth performance of pea plants conforming to each phenotypic trait under each environmental condition include plants whose growth performance conforms to the conditions and plants whose growth performance does not conform to the conditions.

[0023] The comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under each environmental condition is compared with the set comprehensive evaluation threshold of growth performance. If the comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under a certain environmental condition is lower than the set comprehensive evaluation threshold of growth performance, the pea plants that meet the phenotypic traits under the environmental condition are marked as plants that do not meet the growth performance. If the comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under a certain environmental condition is higher than or equal to the set comprehensive evaluation threshold of growth performance, the pea plants that meet the phenotypic traits under the environmental condition are marked as plants that meet the growth performance. Thus, the growth performance analysis results of the pea plants that meet the phenotypic traits under each environmental condition are obtained.

[0024] Furthermore, the screening obtains pea plants that meet the requirements of various growth performances. The specific process is: extracting the growth performance analysis results of pea plants that meet various phenotypic traits under various environmental conditions; if the growth performance analysis results of pea plants that meet certain phenotypic traits under various environmental conditions are all plants that meet the growth performance, then the pea plants that meet the phenotypic traits are recorded as pea plants that meet the growth performance, and the pea plants that meet the growth performances are obtained through traversal screening.

[0025] Furthermore, the phenotypic traits of germplasm resources of pea plants that meet the requirements of growth performance are located and displayed on a visual screen. The specific process is: the phenotypic traits of germplasm resources of pea plants that meet the requirements of growth performance are located, and the trait-associated candidate genes of the pea plants that meet the requirements of growth performance are obtained, and the trait-associated candidate genes are displayed on a visual screen.

[0026] Furthermore, the phenotypic traits of each pea plant meet the evaluation values, and the specific analysis conditions are:

[0027] In the formula, α i Indicates that the phenotypic traits of the i-th pea plant meet the evaluation value, β i Indicates that the structural traits of the i-th pea plant meet the evaluation value, μ1 represents the weight factor corresponding to the set structural traits meeting the evaluation value, γ i represents the physiological trait compliance evaluation value of the i-th pea plant, μ2 represents the weight factor corresponding to the set physiological trait compliance evaluation value, i represents the number of each pea plant, i=1,2,3,…n, n represents the total number of pea plants, and e represents a natural constant.

[0028] The present invention has the following beneficial effects:

[0029] (1) The present invention provides a method for quickly locating the phenotypic traits of pea germplasm resources based on a cloud platform. First, the biological information of pea plants is collected to improve the accuracy of data analysis. Then, the phenotypic trait data of the plants is analyzed to help improve the accuracy of germplasm resource screening. Finally, the growth information of pea plants that conform to the phenotypic traits under various environmental conditions is analyzed, and then the phenotypic traits of the germplasm resources are located. This can evaluate the performance of pea plants in different environments and improve the accuracy of positioning.

[0030] (2) The present invention obtains the evaluation value of the phenotypic traits of each pea plant by analyzing, and can quickly identify and locate plants that meet excellent phenotypic characteristics, and then screen out pea plants that meet specific phenotypic characteristics, thereby improving the utilization rate of pea resources and the accuracy of rapid positioning of phenotypic traits of pea germplasm resources.

[0031] (3) The present invention obtains the comprehensive evaluation value of the growth performance of pea plants under various environmental conditions by analyzing various phenotypic traits, and can more quickly identify excellent pea plants that adapt to different environmental conditions, thereby improving the breeding efficiency of pea plants, reducing the waste of time and resources, accelerating the development of excellent varieties, and helping to improve the yield and quality of pea germplasm resources, and enhancing the stability and stress resistance of pea germplasm resources.

[0032] (4) The present invention obtains pea plants with satisfactory growth performance through screening and locates the phenotypic traits of germplasm resources, thereby accurately identifying pea plants with excellent performance under different environmental conditions, improving breeding efficiency, and more quickly selecting high-yield, high-quality varieties, effectively promoting the sustainable production and environmental adaptability of peas, and improving the accuracy of rapid location of phenotypic traits of pea germplasm resources.

[0033] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0035] Figure 2 An example of how the phenotypic traits of pea plants meet the assessment values. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 As shown, an embodiment of the present invention provides a technical solution: a method for quickly locating phenotypic traits of pea germplasm resources based on a cloud platform, comprising a cloud platform acquiring biological information of each pea plant, wherein the biological information of each pea plant includes phenotypic trait data of each pea plant and growth information of each pea plant.

[0038] It needs to be explained that phenotypic trait mapping of pea germplasm resources refers to the process of identifying and locating candidate genes associated with various phenotypic traits in pea plants.

[0039] It should be added that cloud platform refers to an online infrastructure that provides computing resources, storage, data processing and application services through the Internet.

[0040] The phenotypic trait data of each pea plant are analyzed to obtain the phenotypic trait compliance assessment value of each pea plant, and the phenotypic trait compliance assessment result of each pea plant is obtained according to the phenotypic trait compliance assessment value of each pea plant, and then the pea plants that meet the phenotypic traits are screened out.

[0041] The growth information of each phenotypic trait that conforms to the pea plant under each environmental condition is analyzed to obtain a comprehensive evaluation value of the growth performance of each phenotypic trait that conforms to the pea plant under each environmental condition.

[0042] According to the comprehensive evaluation value of the growth performance of pea plants that meet the phenotypic traits under various environmental conditions, the analysis results of the growth performance of pea plants that meet the phenotypic traits under various environmental conditions are obtained, and the pea plants that meet the growth performance are screened.

[0043] The phenotypic traits of the germplasm resources of pea plants that meet the growth performance requirements are located and displayed on a visual screen.

[0044] Specifically, the phenotypic trait data of each pea plant are analyzed, and the specific process is: the phenotypic trait data of each pea plant includes the structural trait data of each pea plant and the physiological trait data of each pea plant.

[0045] The structural trait data of each pea plant include the height, total number of leaves, average leaf area, and total number of pods of each pea plant.

[0046] It should be supplemented that the height of each pea plant refers to the vertical distance from the base to the highest point of the pea plant, which can be directly measured with a ruler or a measuring tape. The total number of leaves of each pea plant refers to the number of all leaves on each pea plant, which can be identified by image recognition technology. The average leaf area of ​​each pea plant refers to the average area of ​​each leaf, which can be obtained by analyzing the leaf photos taken by image processing software and dividing the total leaf area of ​​each pea plant by the total number of leaves. The total number of pods of each pea plant refers to the number of all pods formed on each pea plant, which can be identified by image recognition technology.

[0047] A comprehensive analysis was performed on the height, total number of leaves, average leaf area, and total number of pods of each pea plant, and the structural traits of each pea plant were found to be consistent with the evaluation values.

[0048] It should be added that in the process of analyzing whether the structural traits of each pea plant meet the evaluation values, the height, total number of leaves, average leaf area, and total number of pods of each pea plant were de-unitized.

[0049] In this embodiment, the structural trait compliance evaluation value of each pea plant represents a numerical quantification result of the structural trait compliance evaluation value obtained by analyzing the structural trait data of each pea plant, and is used to comprehensively quantify the influence of the structural trait data of each pea plant on the analysis accuracy of the structural trait compliance evaluation value, which can be obtained by the following analysis method, and the specific analysis conditions are as follows:

[0050]

[0051]

[0052] In the formula, β i Indicates that the structural characteristics of the i-th pea plant meet the evaluation value, A i→1 represents the height of the i-th pea plant, ΔA i→1 represents the reference height of the i-th pea plant, θ1 represents the weight factor corresponding to the set height, A i→2 represents the total number of leaves of the i-th pea plant, θ2 represents the weight factor corresponding to the set total number of leaves, and A i→3 represents the average leaf area of ​​the i-th pea plant, θ3 represents the weight factor corresponding to the set leaf area, and A i→4 represents the total number of pods of the i-th pea plant, θ4 represents the weight factor corresponding to the set total number of pods, i represents the number of each pea plant, i=1,2,3,…n, and n represents the total number of pea plants.

[0053] It should be noted that the more total leaves a pea plant has, the larger the photosynthetic area and the greater the structural trait compliance assessment value; the more total pods a pea plant has, the greater the yield of the pea plant and the greater the structural trait compliance assessment value of the pea plant. Generally, taller plants can better utilize sunlight. However, in some cases, plants that are too tall may affect the stability of the plant. Therefore, the smaller the difference between the height of the pea plant and the reference height, the greater the structural trait compliance assessment value of the pea plant. A larger leaf area generally indicates that the pea plant has a higher photosynthetic capacity.

[0054] It should be added that, in this embodiment, the weight factor corresponding to the preset height, the weight factor corresponding to the total number of leaves, the weight factor corresponding to the leaf area and the weight factor corresponding to the total number of pods are obtained from the phenotypic trait positioning database.

[0055] It should be explained that the weight factor corresponding to the height represents the numerical value of the influence of the height of the pea plant on the conformity assessment value of the structural traits, the weight factor corresponding to the total number of leaves represents the numerical value of the influence of the total number of leaves of the pea plant on the conformity assessment value of the structural traits, the weight factor corresponding to the leaf area represents the numerical value of the influence of the average leaf area of ​​the pea plant on the conformity assessment value of the structural traits, and the weight factor corresponding to the total number of pods represents the numerical value of the influence of the total number of pods of the pea plant on the conformity assessment value of the structural traits. These corresponding relationships are pre-set mapping relationships. For example, the height of each pea plant and the weight factor corresponding to the preset height obtained from the phenotypic trait positioning database form a mapping set, and the real-time height of each pea plant is input into the mapping set to obtain the weight factor corresponding to the height of each pea plant. The weight factor, the total number of leaves of each pea plant and the weight factor corresponding to the preset total number of leaves obtained from the phenotypic trait positioning database form a mapping set, the real-time total number of leaves of each pea plant is input into the mapping set, and the weight factor corresponding to the total number of leaves of each pea plant is obtained. The average leaf area of ​​each pea plant and the weight factor corresponding to the preset leaf area obtained from the phenotypic trait positioning database form a mapping set, the real-time average leaf area of ​​each pea plant is input into the mapping set, and the weight factor corresponding to the average leaf area of ​​each pea plant is obtained. The total number of pods of each pea plant and the weight factor corresponding to the preset total number of pods obtained from the phenotypic trait positioning database form a mapping set, the real-time total number of pods of each pea plant is input into the mapping set, and the weight factor corresponding to the total number of pods of each pea plant is obtained.

[0056] It should be added that there is a correlation between the height, total number of leaves, average leaf area, and total number of pods of each pea plant, and they do not exist independently. For example, the height of the plant is usually positively correlated with the total number of leaves. Taller pea plants can support more leaves. The total number of leaves directly affects the photosynthetic capacity. The total number of leaves is also significantly positively correlated with the total number of pods. A high total number of leaves usually indicates a higher photosynthetic yield, which promotes more energy for pod development and a greater number of total pods.

[0057] It should be noted that by analyzing the height of each pea plant, the growth potential and physiological state of the pea plant can be more accurately evaluated. By analyzing the total number of leaves of each pea plant, vigorously growing germplasm can be quickly identified, which helps to locate excellent varieties with high photosynthetic efficiency and production potential. By analyzing the average leaf area of ​​each pea plant, it is helpful to identify individuals with good growth performance. By analyzing the total number of pods of each pea plant, germplasm resources with high-yield traits can be effectively identified.

[0058] In this embodiment, a comprehensive analysis is performed on the height, total number of leaves, average leaf area, and total number of pods of each pea plant to obtain structural traits of each pea plant that meet the evaluation values, so that high-yield and high-quality pea varieties can be selected.

[0059] The physiological trait data of each pea plant include the photosynthetic rate, stomatal conductance and transpiration rate of each pea plant.

[0060] It should be added that the photosynthetic rate of each pea plant refers to the rate at which the plant converts carbon dioxide into organic matter through photosynthesis under light. The gas exchange rate can be measured by a photosynthetic meter (such as LI-6400) to obtain the photosynthetic rate. The stomatal conductance of each pea plant refers to the permeability of the stomata of the pea plant to gases. A stomatal conductance meter (such as SC-1) can be used to measure the changes in gas concentration near the leaf surface to obtain the degree of opening and closing of the stomata, and then the conductance value can be obtained. The transpiration rate refers to the transpiration rate per unit time. A transpiration meter can be used to measure the humidity changes or water loss around the leaf surface to obtain the transpiration rate.

[0061] Several supervision cycles were set up, and the photosynthetic rate, stomatal conductance and transpiration rate of each pea plant in each supervision cycle were comprehensively analyzed to obtain the physiological characteristics of each pea plant in accordance with the evaluation value.

[0062] It should be added that in the process of analyzing whether the physiological traits of each pea plant meet the evaluation values, the photosynthetic rate, stomatal conductance and transpiration rate of each pea plant in each regulatory period were denormalized.

[0063] In this embodiment, the physiological trait compliance evaluation value of each pea plant represents a numerical quantification result of the physiological trait compliance evaluation value obtained by analyzing the physiological trait data of each pea plant, and is used to comprehensively quantify the influence of the physiological trait data of each pea plant on the analysis accuracy of the physiological trait compliance evaluation value, which can be obtained by the following analysis method, and the specific analysis conditions are as follows:

[0064]

[0065] In the formula, γ i Indicates that the physiological characteristics of the i-th pea plant meet the evaluation value, B ik→1 represents the photosynthetic rate of the i-th pea plant in the k-th regulatory cycle, Indicates the weight factor corresponding to the set photosynthetic rate, B ik→2 represents the stomatal conductance of the ith pea plant in the kth regulatory period, Indicates the weight factor corresponding to the set stomatal conductance, B ik→3 represents the transpiration rate of the i-th pea plant in the k-th supervision cycle, represents the weight factor corresponding to the set transpiration rate, i represents the number of each pea plant, i=1,2,3,…n, n represents the total number of pea plants, k represents the number of each supervision cycle, k=1,2,3,…L, L represents the total number of supervision cycles, and e represents a natural constant.

[0066] It should be added that, in this embodiment, the preset weight factor corresponding to the photosynthetic rate, the weight factor corresponding to the stomatal conductance, and the weight factor corresponding to the transpiration rate are obtained from the phenotypic trait positioning database.

[0067] It should be explained that the weight factor corresponding to the photosynthetic rate represents the numerical value of the influence of the photosynthetic rate of the pea plant on the physiological trait compliance evaluation value, the weight factor corresponding to the stomatal conductance represents the numerical value of the influence of the stomatal conductance of the pea plant on the physiological trait compliance evaluation value, and the weight factor corresponding to the transpiration rate represents the numerical value of the influence of the transpiration rate of the pea plant on the physiological trait compliance evaluation value. These corresponding relationships are pre-set mapping relationships. For example, the photosynthetic rate of each pea plant and the preset weight factor corresponding to the photosynthetic rate obtained from the phenotypic trait positioning database form a mapping set, which converts the real-time photosynthetic rate of each pea plant into a weighted value corresponding to the photosynthetic rate of the pea plant. The photosynthetic rate of each pea plant is input into a mapping set to obtain a weight factor corresponding to the photosynthetic rate of each pea plant, the stomatal conductance of each pea plant and the weight factor corresponding to the preset stomatal conductance obtained from the phenotypic trait positioning database form a mapping set, the real-time stomatal conductance of each pea plant is input into the mapping set to obtain the weight factor corresponding to the stomatal conductance of each pea plant, the transpiration rate of each pea plant and the weight factor corresponding to the preset transpiration rate obtained from the phenotypic trait positioning database form a mapping set, the real-time transpiration rate of each pea plant is input into the mapping set to obtain the weight factor corresponding to the transpiration rate of each pea plant.

[0068] It should be added that there is a correlation between the photosynthetic rate, stomatal conductance, and transpiration rate of each pea plant, and they do not exist independently. For example, when the photosynthetic rate is high, the stomatal conductance will increase, thereby increasing the absorption of carbon dioxide. Stomatal conductance affects gas exchange and water evaporation, and directly affects the photosynthetic rate. When the stomatal conductance is high, it usually indicates that the transpiration rate is also high, which helps maintain the temperature and moisture of the leaves. A high transpiration rate usually indicates that the pea plant uses water effectively during the photosynthesis process, thereby increasing the photosynthetic rate of the pea plant.

[0069] It should be noted that by analyzing the photosynthetic rate of each pea plant, we can identify excellent genotypes with high photosynthetic efficiency. Analyzing the stomatal conductance of each pea plant is helpful to evaluate the water use efficiency of the pea plant. Analyzing the transpiration rate of each pea plant can analyze the performance of the pea plant in water regulation, and then identify drought-resistant varieties of pea germplasm resources.

[0070] In this embodiment, the photosynthetic rate, stomatal conductance, and transpiration rate of each pea plant are comprehensively analyzed to obtain the physiological characteristics of each pea plant in accordance with the evaluation value, which can accurately analyze the growth potential of the pea plant.

[0071] Specifically, the phenotypic trait conformity assessment value of each pea plant is obtained, and the specific process is: a comprehensive analysis is performed on the structural trait conformity assessment value of each pea plant and the physiological trait conformity assessment value of each pea plant to obtain the phenotypic trait conformity assessment value of each pea plant.

[0072] In this embodiment, the phenotypic traits of each pea plant conform to the evaluation value, which means the numerical quantification result of the phenotypic traits conforming to the evaluation value obtained by analyzing the phenotypic trait data of each pea plant, and is used to comprehensively quantify the influence of the phenotypic trait data of each pea plant on the analysis accuracy of the phenotypic traits conforming to the evaluation value.

[0073] Specifically, the phenotypic traits of each pea plant met the evaluation values, and the specific analysis conditions were:

[0074]

[0075] In the formula, α i Indicates that the phenotypic traits of the i-th pea plant meet the evaluation value, β i Indicates that the structural traits of the i-th pea plant meet the evaluation value, μ1 represents the weight factor corresponding to the set structural traits meeting the evaluation value, γ i represents the physiological trait compliance evaluation value of the i-th pea plant, μ2 represents the weight factor corresponding to the set physiological trait compliance evaluation value, i represents the number of each pea plant, i=1,2,3,…n, n represents the total number of pea plants, and e represents a natural constant.

[0076] In a specific embodiment, Table 1 shows the structural trait compliance evaluation values ​​and physiological trait compliance evaluation values ​​of different pea plants and the corresponding phenotypic trait compliance evaluation values. In this embodiment, the weight factor corresponding to the structural trait compliance evaluation value is 0.6, and the weight factor corresponding to the physiological trait compliance evaluation value is 0.4.

[0077] Table 1 The conformity assessment values ​​of structural traits and physiological traits of different pea plants and the corresponding conformity assessment values ​​of phenotypic traits

[0078]

[0079]

[0080] It should be explained that in Table 1, as the structural trait compliance assessment value and physiological trait compliance assessment value of each pea plant increase, the phenotypic trait compliance assessment value increases accordingly. Table 1 lists the structural trait compliance assessment values ​​and physiological trait compliance assessment values ​​of 4 different pea plants and the corresponding phenotypic trait compliance assessment values, and provides the degree of influence of the structural trait compliance assessment values ​​and physiological trait compliance assessment values ​​of different pea plants on the phenotypic trait compliance assessment value. The phenotypic trait compliance assessment value comprehensively considers the structural trait compliance assessment value and physiological trait compliance assessment value of the pea plant, and provides data support for the evaluation of the phenotypic trait compliance assessment value.

[0081] It needs to be explained that Figure 2 This is an example of a pea plant with phenotypic traits that meet the evaluation values, such as Figure 2 As shown, the horizontal axis represents the structural traits of the pea plant conforming to the evaluation value, and the vertical axis represents the phenotypic traits of the pea plant conforming to the evaluation value. In this embodiment, the weight factor corresponding to the structural trait conforming to the evaluation value is 0.6, and the weight factor corresponding to the physiological trait conforming to the evaluation value is 0.4. Three different groups of example parameters are defined in the figure, corresponding to different situations of the three curves, respectively represented by solid lines, dashed lines and dotted lines, and the corresponding curve labels are a, b, and c, respectively.

[0082] It should be noted that when the physiological trait compliance assessment value of the pea plant is 1.5, the functional relationship between the structural trait compliance assessment value and the phenotypic trait compliance assessment value of the pea plant is shown as curve a. When the physiological trait compliance assessment value of the pea plant is 1.7, the functional relationship between the structural trait compliance assessment value and the phenotypic trait compliance assessment value of the pea plant is shown as curve b. When the physiological trait compliance assessment value of the pea plant is 1.9, the functional relationship between the structural trait compliance assessment value and the phenotypic trait compliance assessment value of the pea plant is shown as curve b. The functional relationship graph is shown as curve c. The phenotypic trait compliance evaluation value of the pea plant increases with the increase of the structural trait compliance evaluation value of the pea plant. When the physiological trait compliance evaluation value of the pea plant increases, the phenotypic trait compliance evaluation value of the pea plant increases accordingly. The phenotypic trait compliance evaluation value of the pea plant can be quickly and accurately obtained through the curve, which solves the problem in the prior art that the phenotypic trait compliance evaluation value of the pea plant cannot be accurately analyzed due to the insufficiently detailed analysis process, thereby realizing the accurate screening of pea plants.

[0083] It should be added that, in this embodiment, the preset weight factors corresponding to the structural trait compliance evaluation values ​​and the preset weight factors corresponding to the physiological trait compliance evaluation values ​​are obtained from the phenotypic trait positioning database.

[0084] It should be explained that the weight factor corresponding to the structural trait compliance assessment value represents the numerical value of the influence of the structural trait compliance assessment value of the pea plant on the phenotypic trait compliance assessment value, and the weight factor corresponding to the physiological trait compliance assessment value represents the numerical value of the influence of the physiological trait compliance assessment value of the pea plant on the phenotypic trait compliance assessment value. These corresponding relationships are pre-set mapping relationships. For example, the structural trait compliance assessment value of each pea plant and the weight factor corresponding to the preset structural trait compliance assessment value obtained from the phenotypic trait positioning database form a mapping set, and the real-time structural trait compliance assessment value of each pea plant is input into the mapping set to obtain the weight factor corresponding to the structural trait compliance assessment value of each pea plant, and the physiological trait compliance assessment value of each pea plant and the weight factor corresponding to the preset physiological trait compliance assessment value obtained from the phenotypic trait positioning database form a mapping set, and the real-time physiological trait compliance assessment value of each pea plant is input into the mapping set to obtain the weight factor corresponding to the physiological trait compliance assessment value of each pea plant.

[0085] In this implementation, a comprehensive analysis is performed on the structural traits conforming to the assessment values ​​and the physiological traits conforming to the assessment values ​​of each pea plant to obtain the phenotypic traits conforming to the assessment values ​​of each pea plant, which can clearly identify pea plants with excellent performance and then quickly screen out high-quality germplasm resources with excellent growth potential and excellent traits.

[0086] Specifically, the phenotypic trait compliance assessment result of each pea plant is obtained according to the phenotypic trait compliance assessment value of each pea plant, and the specific process is: the phenotypic trait compliance assessment result of each pea plant includes compliance and non-compliance.

[0087] The phenotypic trait compliance assessment value of each pea plant is compared with the set phenotypic trait compliance assessment threshold. If the phenotypic trait compliance assessment value of a pea plant is lower than the set phenotypic trait compliance assessment threshold, the phenotypic trait compliance assessment result of the pea plant is marked as non-compliant. If the phenotypic trait compliance assessment value of a pea plant is higher than or equal to the set phenotypic trait compliance assessment threshold, the phenotypic trait compliance assessment result of the pea plant is marked as compliant, thereby obtaining the phenotypic trait compliance assessment results of each pea plant.

[0088] Specifically, pea plants that meet the requirements of various phenotypic traits are screened out. The specific process is: extract the phenotypic traits of various pea plants and the results of the assessment are met. If the phenotypic traits of a pea plant meet the assessment results, then obtain the data of various traits of the pea plant and compare them with the threshold values ​​corresponding to the set trait type data. If the data of various traits of the pea plant are all lower than the threshold values ​​corresponding to the set trait type data, then the pea plant is recorded as a pea plant that does not meet the requirements of the phenotypic traits. If the data of various traits of the pea plant are higher than or equal to the threshold values ​​corresponding to the set trait type data, then the pea plant is recorded as a pea plant that meets the requirements of the phenotypic traits. The screening is repeated to obtain pea plants that meet the requirements of various phenotypic traits.

[0089] It should be noted that, by analyzing the phenotypic traits of each pea plant and determining whether it meets the evaluation results, pea plants with excellent comprehensive performance can be screened out. Further analysis of the pea plants with excellent comprehensive performance can screen out excellent plants that meet each trait type, and the pea plant is recorded as a pea plant that meets the phenotypic traits. For example, if the phenotypic traits of a pea plant are marked as meeting the evaluation results, and the plant height of the pea plant is higher than or equal to the set threshold corresponding to the plant height, the pea plant is recorded as a pea plant that meets the plant height trait.

[0090] It should be supplemented that the data of various trait types of pea plants include plant height, photosynthetic rate, transpiration rate, drought resistance, and number of pods, and the thresholds corresponding to each trait type data include the threshold corresponding to plant height, the threshold corresponding to photosynthetic rate, the threshold corresponding to transpiration rate, the threshold corresponding to drought resistance, and the threshold corresponding to the number of pods.

[0091] Specifically, a comprehensive evaluation value of the growth performance of each phenotypic trait that meets the pea plant under each environmental condition is obtained, and the specific process is: the growth information of each phenotypic trait that meets the pea plant includes the photosynthetic rate, relative water content, stomatal conductance, growth rate, and chlorophyll content of each phenotypic trait that meets the pea plant.

[0092] In a specific embodiment, the specific setting process of each environmental condition is to classify each environmental factor. For example, light intensity is divided into full light and partial shading, soil moisture is divided into drought, moderate, and over-humidity, and environmental humidity is divided into high humidity, moderate, and low humidity. Changes in each environmental factor will have an impact on the phenotypic traits of the plant. Different environmental conditions can be created based on the different levels of each environmental factor. For example, the environmental condition is a full light, drought, soil moisture, and high humidity environment, and the environmental condition is a partial shading, moderate soil moisture, and low humidity environment.

[0093] It should be added that the pea plants with different phenotypic traits are evenly distributed under different environmental conditions according to their different phenotypic traits.

[0094] A comprehensive analysis was conducted on the photosynthetic rate, relative water content, stomatal conductance, growth rate, and chlorophyll content of each phenotypic trait that was consistent with the pea plant under each environmental condition in each regulatory cycle, and a comprehensive evaluation value of the growth performance of each phenotypic trait that was consistent with the pea plant under each environmental condition was obtained.

[0095] It should be added that the relative water content of pea plants that each phenotypic trait is consistent with refers to the ratio of the water content of plant tissue to the maximum water content of plant tissue. Take a certain number of leaves of pea plants, weigh the fresh weight of the leaves, dry the leaves to constant weight, weigh the dry weight, soak the leaves in water to saturation, weigh the saturated weight, and take the ratio of the difference between the fresh weight and the dry weight to the difference between the saturated weight and the dry weight as the relative water content of the pea plant. The growth rate of pea plants that each phenotypic trait is consistent with refers to the growth of the plant per unit time, usually expressed in terms of height growth. The change in plant height within the supervision period can be measured, and the ratio of the change in plant height to the duration of the supervision period is taken as the growth rate of the plant. The chlorophyll content of pea plants that each phenotypic trait is consistent with refers to the concentration of chlorophyll in leaves per unit area, reflecting the photosynthesis capacity of plants. A chlorophyll meter (such as SPAD-502) can be used to directly measure the chlorophyll content of leaves.

[0096] It should be added that in the process of analyzing the comprehensive evaluation values ​​of the growth performance of pea plants under various environmental conditions, the photosynthetic rate, relative water content, stomatal conductance, growth rate, and chlorophyll content of the pea plants under various environmental conditions within each regulatory period were de-unitized.

[0097] It should be noted that the comprehensive evaluation value of the growth performance of each pea plant represents the numerical quantification result of the comprehensive evaluation value of the growth performance obtained by analyzing the growth information of each phenotypic trait that conforms to the pea plant, and is used to comprehensively quantify the influence of the growth information of each phenotypic trait that conforms to the pea plant on the analysis accuracy of the comprehensive evaluation value of the growth performance, which can be obtained by the following analysis method, and the specific analysis conditions are as follows:

[0098]

[0099] In the formula, δ sj represents the comprehensive evaluation value of the growth performance of pea plants under the jth phenotypic trait under the sth environmental condition, C ksj→1 represents the photosynthetic rate of pea plants under the jth phenotypic trait and the sth environmental condition in the kth regulatory cycle, ω1 represents the compensation factor corresponding to the set photosynthetic rate, C ksj→ represents the relative water content of pea plants that the jth phenotypic trait meets under the sth environmental condition in the kth regulatory cycle, ω2 represents the compensation factor corresponding to the set relative water content, C ksj→3 represents the stomatal conductance of pea plants under the jth phenotypic trait and the sth environmental condition in the kth regulatory cycle, ω3 represents the compensation factor corresponding to the set stomatal conductance, C ksj→4 represents the growth rate of pea plants under the jth phenotypic trait and the sth environmental condition in the kth regulatory cycle, ω4 represents the compensation factor corresponding to the set growth rate, C ksj→5 represents the chlorophyll content of the pea plant that meets the jth phenotypic trait under the sth environmental condition in the kth regulatory cycle, ω5 represents the compensation factor corresponding to the set chlorophyll content, j represents the number of the pea plant that meets the phenotypic trait, j=1,2,3,…m, m represents the total number of pea plants that meet the phenotypic trait, k represents the number of each regulatory cycle, k=1,2,3,…L, L represents the total number of regulatory cycles, s represents the number of each environmental condition, s=1,2,3,…h, h represents the total number of environmental conditions, and e represents a natural constant.

[0100] It should be added that, in this embodiment, the preset compensation factors corresponding to the photosynthetic rate, the compensation factors corresponding to the relative water content, the compensation factors corresponding to the stomatal conductance, the compensation factors corresponding to the growth rate and the compensation factors corresponding to the chlorophyll content are obtained from the phenotypic trait positioning database.

[0101] It should be noted that the compensation factor corresponding to the photosynthetic rate indicates the numerical value of the influence of the photosynthetic rate of the phenotypic traits on the comprehensive evaluation value of the growth performance of the pea plant, the compensation factor corresponding to the relative water content indicates the numerical value of the influence of the relative water content of the pea plant on the comprehensive evaluation value of the growth performance of the pea plant, the compensation factor corresponding to the stomatal conductance indicates the numerical value of the influence of the stomatal conductance of the pea plant on the comprehensive evaluation value of the growth performance of the pea plant, and the compensation factor corresponding to the growth rate indicates the numerical value of the influence of the growth rate of the pea plant on the comprehensive evaluation value of the growth performance of the pea plant. The compensation factor corresponding to the chlorophyll content indicates the numerical value of the influence of the phenotypic trait on the comprehensive evaluation value of the growth performance of the pea plant. These corresponding relationships are pre-set mapping relationships. For example, the photosynthetic rate of each phenotypic trait that conforms to the pea plant and the compensation factor corresponding to the preset photosynthetic rate obtained from the phenotypic trait positioning database form a mapping set. The real-time photosynthetic rate of each phenotypic trait that conforms to the pea plant is input into the mapping set to obtain the compensation factor corresponding to the photosynthetic rate of each phenotypic trait that conforms to the pea plant, and the relative water content of each phenotypic trait that conforms to the pea plant is obtained from the phenotypic trait positioning number. A mapping set is formed by the compensation factors corresponding to the preset relative water content obtained from the database, and the real-time relative water content of each phenotypic trait that conforms to the pea plant is input into the mapping set to obtain the compensation factors corresponding to the relative water content of each phenotypic trait that conforms to the pea plant, and the stomatal conductance of each phenotypic trait that conforms to the pea plant is mapped with the compensation factors corresponding to the preset stomatal conductance obtained from the phenotypic trait positioning database, and the real-time stomatal conductance of each phenotypic trait that conforms to the pea plant is input into the mapping set to obtain the compensation factors corresponding to the stomatal conductance of each phenotypic trait that conforms to the pea plant, and the stomatal conductance of each phenotypic trait that conforms to the pea plant is mapped. A mapping set is formed between the growth rate and the compensation factor corresponding to the preset growth rate obtained from the phenotypic trait positioning database. The real-time growth rate of each phenotypic trait that conforms to the pea plant is input into the mapping set to obtain the compensation factor corresponding to the growth rate of each phenotypic trait that conforms to the pea plant. A mapping set is formed between the chlorophyll content of each phenotypic trait that conforms to the pea plant and the compensation factor corresponding to the preset chlorophyll content obtained from the phenotypic trait positioning database. The real-time phenotypic traits that conform to the chlorophyll content of the pea plant are input into the mapping set to obtain the compensation factor corresponding to the chlorophyll content of each phenotypic trait that conforms to the pea plant.

[0102] It should be added that the phenotypic traits of pea plants, such as photosynthetic rate, relative water content, stomatal conductance, growth rate, and chlorophyll content, are correlated and do not exist independently. For example, chlorophyll is a key pigment for photosynthesis and directly affects the photosynthetic rate. The higher the chlorophyll content, the more effectively the pea plants can absorb light energy, thereby increasing the photosynthetic rate of the pea plants. When the stomatal conductance is high, the pea plants can better absorb carbon dioxide, thereby increasing the photosynthetic rate. The relative water content directly affects the growth rate of the plant. When the relative water content is high, the pea plants grow rapidly and the growth rate is higher. When the relative water content is low, the growth will be inhibited, resulting in a decrease in the growth rate of the pea plants.

[0103] It should be noted that by analyzing the photosynthetic rate of pea plants according to various phenotypic traits, it is possible to quickly identify excellent varieties suitable for different environmental conditions. Analysis of the relative water content of pea plants according to various phenotypic traits can help identify varieties that perform well in drought or excess water environments. Analysis of the stomatal conductance of pea plants according to various phenotypic traits can help analyze the physiological state of plants in different environments, and can quickly screen out pea varieties with good climate adaptability. Analysis of the growth rate of pea plants according to various phenotypic traits can help identify germplasm resources with excellent growth performance. Analysis of the chlorophyll content of pea plants according to various phenotypic traits can help evaluate the health status and growth potential of pea plants, and then screen out germplasm resources with high photosynthetic efficiency.

[0104] In this implementation plan, a comprehensive analysis is performed on the photosynthetic rate, relative water content, stomatal conductance, growth rate, and chlorophyll content of each phenotypic trait that is consistent with the pea plant under each environmental condition in each regulatory cycle, and a comprehensive evaluation value of the growth performance of each phenotypic trait that is consistent with the pea plant under each environmental condition is obtained, which can analyze the growth potential and photosynthetic performance of pea plants under different environmental conditions.

[0105] Specifically, the growth performance analysis results of pea plants that meet the phenotypic traits under various environmental conditions are obtained, and the specific process is: the growth performance analysis results of pea plants that meet the phenotypic traits under various environmental conditions include plants whose growth performance meets the requirements and plants whose growth performance does not meet the requirements.

[0106] The comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under each environmental condition is compared with the set comprehensive evaluation threshold of growth performance. If the comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under a certain environmental condition is lower than the set comprehensive evaluation threshold of growth performance, the pea plants that meet the phenotypic traits under the environmental condition are marked as plants that do not meet the growth performance. If the comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under a certain environmental condition is higher than or equal to the set comprehensive evaluation threshold of growth performance, the pea plants that meet the phenotypic traits under the environmental condition are marked as plants that meet the growth performance. Thus, the growth performance analysis results of the pea plants that meet the phenotypic traits under each environmental condition are obtained.

[0107] Specifically, pea plants that meet the requirements of various growth performances are screened, and the specific process is: extract the growth performance analysis results of pea plants that meet the requirements of various phenotypic traits under various environmental conditions; if the growth performance analysis results of pea plants that meet a certain phenotypic trait under various environmental conditions are all plants that meet the requirements of growth performance, then the pea plants that meet the phenotypic trait are recorded as pea plants that meet the requirements of growth performance, and the pea plants that meet the requirements of various growth performances are screened through.

[0108] Specifically, the phenotypic traits of the germplasm resources of each pea plant that meets the growth performance requirements are located, and the results are displayed on a visual screen. The specific process is: the phenotypic traits of the germplasm resources of each pea plant that meets the growth performance requirements are located, and the trait-associated candidate genes of the pea plants that meet the growth performance requirements are obtained, and the results are displayed on a visual screen.

[0109] It should be supplemented that the phenotypic traits of the germplasm resources of the pea plants that meet the growth performance requirements are located, and the phenotypic trait data of the pea plants that meet the growth performance requirements are collected. Combined with the genome information of the pea plants, statistical analysis and genetic map construction are used to identify the regions related to the target traits. The genome-wide association study (GWAS) method is used to analyze the relationship between the phenotypic trait data and the genotypic data, thereby determining the genotypic data related to the expression of the phenotypic traits. Through functional annotation and literature review, trait-associated candidate genes that have a significant impact on trait expression are screened out.

[0110] It should be noted that the cloud platform-based method for rapid positioning of phenotypic traits of pea germplasm resources also includes a phenotypic trait positioning database, which is used to store the reference height of each pea plant obtained by analyzing historical data, the weight factor corresponding to the height, the weight factor corresponding to the total number of leaves, the weight factor corresponding to the leaf area, the weight factor corresponding to the total number of pods, the weight factor corresponding to the photosynthetic rate, the weight factor corresponding to the stomatal conductance, the weight factor corresponding to the transpiration rate, the weight factor corresponding to the structural trait compliance assessment value, the weight factor corresponding to the physiological trait compliance assessment value, the phenotypic trait compliance assessment threshold, the threshold corresponding to each trait type data, the compensation factor corresponding to the photosynthetic rate, the compensation factor corresponding to the relative water content, the compensation factor corresponding to the stomatal conductance, the compensation factor corresponding to the growth rate, the compensation factor corresponding to the chlorophyll content and the comprehensive evaluation threshold for growth performance.

[0111] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0112] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.

Claims

1. A method for rapidly locating phenotypic traits of pea germplasm resources based on a cloud platform, characterized in that: include: The cloud platform obtains biological information of each pea plant, wherein the biological information of each pea plant includes phenotypic trait data of each pea plant and growth information of each pea plant; Analyze the phenotypic trait data of each pea plant to obtain the phenotypic trait compliance assessment value of each pea plant, obtain the phenotypic trait compliance assessment result of each pea plant according to the phenotypic trait compliance assessment value of each pea plant, and then screen out the pea plants that meet the phenotypic trait; Analyze the growth information of pea plants that meet each phenotypic trait under each environmental condition, and obtain a comprehensive evaluation value of the growth performance of pea plants that meet each phenotypic trait under each environmental condition; According to the comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under the various environmental conditions, the analysis results of the growth performance of the pea plants that meet the phenotypic traits under the various environmental conditions are obtained, and the pea plants that meet the growth performance are screened; The phenotypic traits of the germplasm resources of pea plants that meet the growth performance requirements are located and displayed on a visual screen.

2. The method for rapidly locating phenotypic traits of pea germplasm resources based on a cloud platform according to claim 1, characterized in that: The specific process of analyzing the phenotypic trait data of each pea plant is as follows: The phenotypic trait data of each pea plant includes structural trait data of each pea plant and physiological trait data of each pea plant; The structural trait data of each pea plant include the height, total number of leaves, average leaf area, and total number of pods of each pea plant; A comprehensive analysis was conducted on the height, total number of leaves, average leaf area, and total number of pods of each pea plant to obtain the structural traits of each pea plant in line with the evaluation value; The physiological trait data of each pea plant include photosynthetic rate, stomatal conductance, and transpiration rate of each pea plant; Several supervision cycles were set up, and the photosynthetic rate, stomatal conductance and transpiration rate of each pea plant in each supervision cycle were comprehensively analyzed to obtain the physiological characteristics of each pea plant in accordance with the evaluation value.

3. The method for rapid positioning of phenotypic traits of pea germplasm resources based on a cloud platform according to claim 2, characterized in that: The specific process of obtaining the phenotypic characteristics of each pea plant in accordance with the evaluation value is as follows: A comprehensive analysis was performed on the conformity assessment values ​​of the structural traits of each pea plant and the conformity assessment values ​​of the physiological traits of each pea plant to obtain the conformity assessment values ​​of the phenotypic traits of each pea plant.

4. The method for rapidly locating phenotypic traits of pea germplasm resources based on a cloud platform according to claim 3, characterized in that: The specific process of obtaining the phenotypic trait compliance assessment result of each pea plant according to the phenotypic trait compliance assessment value of each pea plant is as follows: The phenotypic traits of each pea plant meet the evaluation results, including compliance and non-compliance; The phenotypic trait compliance assessment value of each pea plant is compared with the set phenotypic trait compliance assessment threshold. If the phenotypic trait compliance assessment value of a pea plant is lower than the set phenotypic trait compliance assessment threshold, the phenotypic trait compliance assessment result of the pea plant is marked as non-compliant. If the phenotypic trait compliance assessment value of a pea plant is higher than or equal to the set phenotypic trait compliance assessment threshold, the phenotypic trait compliance assessment result of the pea plant is marked as compliant, thereby obtaining the phenotypic trait compliance assessment results of each pea plant.

5. The method for rapidly locating phenotypic traits of pea germplasm resources based on a cloud platform according to claim 4, characterized in that: The specific process of screening out pea plants that meet the phenotypic characteristics is as follows: The phenotypic traits of each pea plant are extracted according to the evaluation result. If the phenotypic traits of a pea plant meet the evaluation result, the phenotypic traits of the pea plant are obtained and compared with the threshold values ​​corresponding to the set phenotypic traits. If the phenotypic traits of the pea plant are all lower than the threshold values ​​corresponding to the trait type data, the pea plant is recorded as a pea plant that does not meet the phenotypic traits. If the phenotypic traits of the pea plant are higher than or equal to the threshold values ​​corresponding to the trait type data, the pea plant is recorded as a pea plant that meets the phenotypic traits. The pea plants that meet the phenotypic traits are traversed and screened.

6. The method for rapid positioning of phenotypic traits of pea germplasm resources based on a cloud platform according to claim 1, characterized in that: The specific process of obtaining the comprehensive evaluation value of the growth performance of pea plants under various environmental conditions for various phenotypic traits is as follows: The phenotypic traits that conform to the growth information of the pea plant include the photosynthetic rate, relative water content, stomatal conductance, growth rate, and chlorophyll content that conform to the pea plant; A comprehensive analysis was conducted on the photosynthetic rate, relative water content, stomatal conductance, growth rate, and chlorophyll content of each phenotypic trait that was consistent with the pea plant under each environmental condition in each regulatory cycle, and a comprehensive evaluation value of the growth performance of each phenotypic trait that was consistent with the pea plant under each environmental condition was obtained.

7. The method for rapid positioning of phenotypic traits of pea germplasm resources based on a cloud platform according to claim 6, characterized in that: The specific process of obtaining the growth performance analysis results of pea plants under various environmental conditions and various phenotypic traits is as follows: The analysis results of the growth performance of pea plants under the various environmental conditions for each phenotypic trait include plants with the growth performance being in compliance and plants with the growth performance being not in compliance; The comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under each environmental condition is compared with the set comprehensive evaluation threshold of growth performance. If the comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under a certain environmental condition is lower than the set comprehensive evaluation threshold of growth performance, the pea plants that meet the phenotypic traits under the environmental condition are marked as plants that do not meet the growth performance. If the comprehensive evaluation value of the growth performance of the pea plants that meet the phenotypic traits under a certain environmental condition is higher than or equal to the set comprehensive evaluation threshold of growth performance, the pea plants that meet the phenotypic traits under the environmental condition are marked as plants that meet the growth performance. Thus, the growth performance analysis results of the pea plants that meet the phenotypic traits under each environmental condition are obtained.

8. The method for rapid positioning of phenotypic traits of pea germplasm resources based on a cloud platform according to claim 7, characterized in that: The screening process to obtain pea plants with the same growth performance is as follows: The growth performance analysis results of pea plants that meet each phenotypic trait under each environmental condition are extracted. If the growth performance analysis results of pea plants that meet a certain phenotypic trait under each environmental condition are all plants that meet the growth performance, the pea plants that meet the phenotypic trait are recorded as pea plants that meet the growth performance, and the pea plants that meet the growth performance are traversed and screened to obtain the pea plants that meet the growth performance.

9. The method for rapidly locating phenotypic traits of pea germplasm resources based on a cloud platform according to claim 1, characterized in that: The phenotypic characteristics of the germplasm resources of the pea plants with the growth performance conforming to the requirements are located and displayed on a visual screen. The specific process is as follows: The phenotypic traits of germplasm resources are located for each pea plant with consistent growth performance, and the trait-associated candidate genes of each pea plant with consistent growth performance are obtained and displayed on a visual screen.

10. The method for rapid positioning of phenotypic traits of pea germplasm resources based on a cloud platform according to claim 3, characterized in that: The phenotypic traits of the pea plants meet the evaluation values, and the specific analysis conditions are: In the formula, α i Indicates that the phenotypic traits of the i-th pea plant meet the evaluation value, β i Indicates that the structural traits of the i-th pea plant meet the evaluation value, μ1 represents the weight factor corresponding to the set structural traits meeting the evaluation value, γ i represents the physiological trait compliance evaluation value of the i-th pea plant, μ2 represents the weight factor corresponding to the set physiological trait compliance evaluation value, i represents the number of each pea plant, i=1,2,3,…n, n represents the total number of pea plants, and e represents a natural constant.

Images