A method and system for managing information of crop germplasm resources

Abstract

The application discloses a kind of crop germplasm resource information management method and system, comprising: obtaining crop germplasm resource information, crop germplasm resource information is screened, and the germplasm resource that meets preset standard is stored in crop germplasm resource information database;With crop germplasm resource library creation association, the data management and data visualization of crop germplasm resource library are carried out;By accessing the crop germplasm resource information database, construct germplasm resource management platform, carry out the monitoring and early warning of germplasm resource, and carry out the multi-condition screening search of germplasm resource basic information and character data based on user authority;According to the retrieval result, obtain warehouse location positioning, and update inventory state to the approval and updating of germplasm resource warehouse-out.The application carries out standardization arrangement to crop germplasm resource information, effectively manages the germplasm resource of crop, promotes crop germplasm resource information integration, and improves germplasm resource protection and shared utilization efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of germplasm resource management, and more particularly to a crop germplasm resource information management method and system. BACKGROUND

[0002] Crop germplasm resources are the material basis for original innovation in agricultural science and technology and development of modern seed industry, and are strategic resources for guaranteeing national food security and ecological security. With the rapid development of information technology, information technology has been gradually applied to crop germplasm resources work, and a series of data standard specifications have been formulated, and related data management systems have been developed, basically realizing the standardization and informatization of work, and effectively supporting the protection and utilization of crop germplasm resources. At present, with the steady improvement of agricultural comprehensive production capacity, the quality demand of agricultural supply system is also highlighted, and quality and safety have become one of the demands of consumers and an important demand for the development of green agriculture. Therefore, the cultivation, collection, protection and sharing of high-quality germplasm resources are particularly important.

[0003] However, there are still problems such as low informatization degree of important work links, lack of unified data management system, and further improvement of germplasm information sharing efficiency. In order to strengthen the collection and protection of germplasm resources and promote the sharing and utilization of germplasm resources, an agricultural germplasm resource data service platform is designed and constructed by using internet and big data technology, a multi-level, multi-dimensional and multi-user resource service system is constructed, and the effective sharing of germplasm resources is promoted. SUMMARY

[0004] In order to solve the above technical problems, the present application provides a crop germplasm resource information management method and system.

[0005] The first aspect of the present application provides a crop germplasm resource information management method, comprising:

[0006] Obtaining crop germplasm resource information, screening the crop germplasm resource information, and storing the germplasm resource information meeting the preset standard into a crop germplasm resource information database;

[0007] Associating the crop germplasm resource information database with a crop germplasm resource library, and performing data management and data visualization of the crop germplasm resource library through the association;

[0008] Constructing a germplasm resource management platform by accessing the crop germplasm resource information database, monitoring and warning the germplasm resources by using the germplasm resource management platform, performing multi-condition screening and retrieval of germplasm resource basic information and trait data based on user permissions, and performing warehouse management;

[0009] According to the retrieval result of the crop germplasm resources, the warehouse location is positioned, and the inventory state is updated after the approval of the out-of-warehouse of the germplasm resources.

[0010] In the scheme, the crop germplasm resource information is obtained, and the crop germplasm resource information is screened, specifically:

[0011] The basic information, agronomic traits and characteristics of the physical germplasm resources in the warehouse are collected, the collected data is classified according to the crop types, the data number of various types of germplasm resources is preset, and the data sequence of various types of resources is constructed to obtain the germplasm resource information.

[0012] The data sequence of various types of germplasm resources is set with a source label, and the data directory required to be entered for various types of crops is customized according to the characteristics of the data sequence of various types of germplasm resources.

[0013] According to the standardized standard of the data under different directories, the data is filled, the data in the various types of germplasm resource sequence after data filling is screened, and the filling results of each data index are compared with the corresponding preset threshold.

[0014] The abnormal data with the filling result less than the corresponding preset threshold is removed, and the screened germplasm resource sequence is stored in the crop germplasm resource information database.

[0015] In the scheme, the germplasm resource management platform is constructed by accessing the crop germplasm resource information database, and the monitoring and early warning of the germplasm resources are carried out by using the germplasm resource management platform, specifically:

[0016] The data retrieval index is established in the crop germplasm resource information database, the query condition is limited according to the user interface, the germplasm resource management platform is constructed according to the data retrieval index and the user interface permission;

[0017] According to the basic information of various types of germplasm resources, the inventory monitoring is carried out based on the germplasm resource management platform, and the vitality monitoring is established according to the screening result of the germplasm resources.

[0018] The vitality threshold of various types of germplasm resources is preset, whether the vitality monitoring data of various types of germplasm resources is lower than the vitality threshold is judged, if lower, the related early warning information is generated, the corresponding type of germplasm resources is added to the reproduction list, and the reproduction task is established.

[0019] The reproduction task materials are sorted according to specific information, the reproduction number is generated and the reproduction work sorting is exported, the reproduction is carried out according to the reproduction work sorting, and the germplasm resource library is imported when all the reproduction tasks are completed.

[0020] In the scheme, the basic information and trait data of germplasm resources are screened and retrieved based on user permissions, and the out-of-stock management is carried out, specifically:

[0021] The interface permissions of the access user are extracted, the corresponding page information is obtained according to the interface permissions, and the corresponding screening condition options are matched based on the interface permissions. Different permission levels are set for ordinary users, editing users and administrator users respectively;

[0022] When the access user is an administrator user, the state data of various types of germplasm resources in the germplasm resource library is obtained, the state data is analyzed to determine the out-of-stock demand of the germplasm resource library, the germplasm resources to be out-of-stock are marked as to-be-out-of-stock, and the germplasm resources marked as to-be-out-of-stock are set with an out-of-stock reason label;

[0023] According to the out-of-stock reason label, the to-be-out-of-stock germplasm resources are classified, the corresponding germplasm resource information is extracted, and the pre-out-of-stock documents are screened according to the corresponding germplasm resource information. The out-of-stock reasons are classified as exchange out-of-stock, propagation out-of-stock, vitality monitoring out-of-stock and elimination out-of-stock;

[0024] The pre-out-of-stock documents are obtained to locate the storage position, and the inventory status is updated after the out-of-stock of the germplasm resources is approved.

[0025] In the scheme, the multi-dimensional analysis of the germplasm resource information is carried out, and the heterogeneous graph network of the germplasm resource information is obtained, specifically:

[0026] Various types of germplasm resource information are subjected to multi-dimensional statistical analysis, corresponding chart information is obtained according to the multi-dimensional statistical analysis, and the business demand of various types of germplasm resources in a predetermined range within a predetermined time is obtained through big data;

[0027] Various types of germplasm resources and business demands are taken as nodes in the heterogeneous graph, and the corresponding chart information obtained by multi-dimensional statistical analysis is taken as supplementary nodes of the nodes. The relationship between various types of germplasm resources and business demands is generated as an edge in the heterogeneous graph;

[0028] The graph neural network is learned based on the heterogeneous graph, the business demand relationship of various types of germplasm resources is represented through neighbor clustering of the graph neural network, and the business demand of the associated germplasm resources is predicted according to the business demand of a certain type of germplasm resource;

[0029] The inventory monitoring threshold set in the crop germplasm resource information database is adjusted according to the predicted business demand.

[0030] In the scheme, a germplasm resource sharing module is created through a germplasm resource management platform, and specific germplasm resource information is selected for display and sharing in a predetermined sharing form, specifically:

[0031] Select target germplasm resource information for external sharing through the germplasm resource management platform, send it to the germplasm resource sharing module, and use the germplasm resource sharing module to filter and export it.

[0032] Relevant data of the selected target germplasm resources are obtained through big data methods. The retrieved data is compared with the target germplasm resources in the current germplasm resource bank to obtain the similarity deviation between the quality traits in the target germplasm resource information and the relevant data.

[0033] The specificity of the target germplasm resource is determined based on the similarity deviation. When the similarity deviation of the quality trait is greater than the preset deviation threshold and the quality trait is better than the relevant data, a specific label is set for the target germplasm resource information.

[0034] Germplasm resource information with specific tags is matched with a specific sharing format to generate shared content, and the shared content is displayed using the preset display format of the germplasm resource sharing module.

[0035] A second aspect of the present invention also provides a crop germplasm resource information management system, the system comprising: a memory and a processor, wherein the memory includes a crop germplasm resource information management method program, and the crop germplasm resource information management method program, when executed by the processor, performs the following steps:

[0036] Obtain crop germplasm resource information, screen the crop germplasm resource information, and store the germplasm resource information that meets the preset standards into the crop germplasm resource information database.

[0037] Create an association between the crop germplasm resource information database and the crop germplasm resource bank, and use the association to manage and visualize the data of the crop germplasm resource bank.

[0038] A germplasm resource management platform is constructed by accessing the crop germplasm resource information database. The germplasm resource management platform is used for monitoring and early warning of germplasm resources, and multi-condition screening and retrieval of basic information and trait data of germplasm resources based on user permissions, and outbound management is performed.

[0039] The storage location is obtained based on the search results of crop germplasm resources, and the inventory status is updated after the germplasm resources are approved for release.

[0040] This invention discloses a method and system for managing crop germplasm resource information, comprising: acquiring crop germplasm resource information; screening the crop germplasm resource information; storing germplasm resources that meet preset standards into a crop germplasm resource information database; establishing an association with a crop germplasm resource bank for data management and visualization of the crop germplasm resource bank; constructing a germplasm resource management platform by accessing the crop germplasm resource information database for monitoring and early warning of germplasm resources, and performing multi-condition screening and retrieval of basic information and trait data of germplasm resources based on user permissions; obtaining the location of the storage facility based on the retrieval results, and approving and updating the inventory status of germplasm resource releases. This invention standardizes and organizes crop germplasm resource information, effectively manages crop germplasm resources, promotes the integration of crop germplasm resource information, and improves the efficiency of germplasm resource protection and sharing. Attached Figure Description

[0041] Figure 1 A flowchart of a method for managing crop germplasm resource information according to the present invention is shown;

[0042] Figure 2 The flowchart of the method for germplasm resource monitoring and early warning through a germplasm resource management platform according to the present invention is shown.

[0043] Figure 3 The flowchart of the method for germplasm resource outbound management based on user permissions according to the present invention is shown;

[0044] Figure 4 A block diagram of a crop germplasm resource information management system according to the present invention is shown. Detailed Implementation

[0045] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0046] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0047] Figure 1 A flowchart of a method for managing crop germplasm resource information according to the present invention is shown.

[0048] S102, Obtain crop germplasm resource information, screen the crop germplasm resource information, and store the germplasm resource information that meets the preset standards into the crop germplasm resource information database.

[0049] S104, Create an association between the crop germplasm resource information database and the crop germplasm resource bank, and perform data management and data visualization of the crop germplasm resource bank through the association;

[0050] S106, A germplasm resource management platform is constructed by accessing the crop germplasm resource information database. The germplasm resource management platform is used to monitor and warn of germplasm resources, and to perform multi-condition screening and retrieval of basic information and trait data of germplasm resources based on user permissions, and to manage the outbound data.

[0051] S108: Obtain the storage location based on the retrieval results of crop germplasm resources, and update the inventory status after approving the release of germplasm resources.

[0052] It should be noted that the basic information, agronomic traits, and characteristics of the physical germplasm resources already in the database are collected. The collected data is classified according to crop type, and the number of data entries for each type of germplasm resource is preset. Data sequences for each type of resource are constructed to obtain germplasm resource information. For example, crop germplasm resources are divided into several major categories such as food crops, vegetables, oil crops, and forage and green manure. Several sub-crops can be added to each major category. Then, the data catalog to be entered for each type of crop is customized according to the characteristics of different crops. The entry requirements can be preset with the values ​​of the indicators, selected or filled in, or a batch can be imported. At the same time, the file can be exported after filtering the indicators for further editing. The basic information indicators of each resource defined in this standard are consistent with the location management. Source tags are set for data sequences of various types of germplasm resources. Germplasm resources from different sources (stock propagation, newly collected, and temporary propagation) are entered in batches. The data catalogs for each type of crop are customized according to the characteristics of the data sequences of various types of germplasm resources. Data is filled according to the standardization standards of data in different catalogs. The data in the germplasm resource sequences after data filling are filtered by comparing the filling results of each data indicator with the corresponding preset thresholds. Abnormal data with filling results less than the corresponding preset thresholds are removed. The filtered germplasm resource sequences are stored in the crop germplasm resource information database.

[0053] Figure 2 The flowchart of the method for monitoring and early warning of germplasm resources through a germplasm resource management platform according to the present invention is shown.

[0054] According to an embodiment of the present invention, a germplasm resource management platform is constructed by accessing the crop germplasm resource information database, and the germplasm resource management platform is used for monitoring and early warning of germplasm resources, specifically as follows:

[0055] S202, by establishing a data retrieval index in the crop germplasm resource information database and restricting query conditions according to the user interface, a germplasm resource management platform is constructed based on the data retrieval index and user interface permissions;

[0056] S204, based on the germplasm resource management platform, inventory monitoring is carried out on the basic information of various types of germplasm resources, and viability monitoring is established based on the screening results of germplasm resources;

[0057] S206, preset the vitality threshold of various types of germplasm resources, determine whether the vitality monitoring data of various types of germplasm resources is lower than the vitality threshold, if it is lower, generate relevant early warning information, add the corresponding type of germplasm resources to the list to be propagated, and establish a propagation task;

[0058] S208, sort the propagation task materials according to specific information, generate propagation numbers and export the propagation work sorting, propagate according to the propagation work sorting, and import the materials into the germplasm resource bank after all propagation tasks are completed.

[0059] It should be noted that all germplasm resources already in storage can be displayed and queried on the germplasm resource management platform. The main information displayed includes: germplasm name, germplasm number, germplasm storage location number, storage date, propagation date, inventory weight, germination rate, and origin. Users can also filter based on basic information, and selected materials can be exported in batches or added to propagation lists, monitoring lists, or discarded items. Inventory monitoring and related early warning generation based on the basic information of various types of germplasm resources include: exceeding the storage period; quality (low germination rate, severe contamination, low purity) and weight not meeting standards upon storage; and individual germplasm resources reaching weight below the warning value after being removed from storage. After generating relevant early warnings for the above situations, propagation tasks can be created, and new propagation tasks can be created in batches as needed.

[0060] Figure 3 The flowchart of the method for germplasm resource outbound management based on user permissions according to the present invention is shown.

[0061] According to an embodiment of the present invention, multi-condition screening and retrieval of basic information and trait data of germplasm resources based on user permissions, and subsequent outbound management, are performed as follows:

[0062] S302, extract the interface permissions of the access user, obtain the corresponding page information according to the interface permissions, and match the corresponding filter conditions based on the interface permissions to set different permission levels for ordinary users, editing users, and administrator users respectively;

[0063] S304, when the access user is an administrator user, obtain the status data of various types of germplasm resources in the germplasm resource bank, analyze the status data to determine the germplasm resource bank's outbound demand, mark the germplasm resources to be outbound as to be outbound, and set outbound reason tags for the marked germplasm resources.

[0064] S308, classify the germplasm resources to be shipped according to the shipping reason label, extract the corresponding germplasm resource information, and filter out the pre-shipment documents according to the corresponding germplasm resource information as required. The shipping reasons are divided into: exchange shipping, propagation shipping, viability monitoring shipping and culling shipping.

[0065] S310: Obtain the storage location from the pre-outbound document, and update the inventory status after approving the outbound of germplasm resources.

[0066] It should be noted that user permission settings are mainly divided into three roles: administrator users have all permissions; editor users and administrator users can be granted permissions to edit which type of materials according to actual operational needs, and can only edit and view the type of materials granted permission; ordinary users only have the permission to view and filter entered data, and can export basic data. When germplasm resources are pre-shipped, after being approved by the administrator, this type of resource is shipped out, showing as out of stock, and this stock position can be reallocated in the warehousing process.

[0067] It should be noted that the multidimensional analysis of germplasm resource information to obtain a heterogeneous graph network of germplasm resource information specifically involves: performing multidimensional statistical analysis on various types of germplasm resource information; obtaining corresponding chart information based on the multidimensional statistical analysis; acquiring business requirements for various types of germplasm resources within a predetermined time frame using big data; using various types of germplasm resources and business requirements as nodes in the heterogeneous graph; using the corresponding chart information obtained from the multidimensional statistical analysis as supplementary nodes; generating the relationship between various types of germplasm resources and business requirements as edges in the heterogeneous graph; constructing a dataset based on the planting resource information; and representing the nodes in the dataset as d. i =(Y i D i ), Y i This represents the business demand correlation information between the germplasm resource node and the planting resource node in the heterogeneous graph at the current date i, and serves as the input to the graph neural network, D. iThe predicted business demand of germplasm resource nodes on date i is represented as the prediction output of the graph convolutional neural network. The graph convolutional neural network is trained using a dataset to learn the heterogeneous graph. The business demand relationship of various types of germplasm resources is represented by the neighbor clustering of the graph neural network. The business demand of related germplasm resources is predicted based on the business demand of a certain type of germplasm resource. The inventory monitoring threshold set in the crop germplasm resource information database is adjusted in a targeted manner based on the predicted business demand.

[0068] It should be noted that the target germplasm resource information for external sharing is selected through the germplasm resource management platform and sent to the germplasm resource sharing module. The germplasm resource sharing module then filters and exports the information. For example, a website-style page for external display is established, divided into sections such as news reports, featured resources, and germplasm resources, showcasing its characteristics and achievements to the public online. Relevant data of the selected target germplasm resource information is obtained using big data methods. This retrieved data is compared with the target germplasm resources in the current germplasm resource bank to obtain the similarity deviation between the quality traits in the target germplasm resource information and the relevant data. The specificity of the target germplasm resource is determined based on the similarity deviation. When the similarity deviation of the quality trait is greater than a preset deviation threshold and the quality trait is superior to the relevant data, a specific label is set for the target germplasm resource information. The germplasm resource information with the specific label is matched with a specific sharing format to generate shared content, which is then displayed using the preset display format of the germplasm resource sharing module.

[0069] Figure 4 A block diagram of a crop germplasm resource information management system according to the present invention is shown.

[0070] A second aspect of the present invention also provides a crop germplasm resource information management system 4, the system comprising: a memory 41 and a processor 42, wherein the memory includes a crop germplasm resource information management method program, and the crop germplasm resource information management method program, when executed by the processor, performs the following steps:

[0071] Obtain crop germplasm resource information, screen the crop germplasm resource information, and store the germplasm resource information that meets the preset standards into the crop germplasm resource information database.

[0072] Create an association between the crop germplasm resource information database and the crop germplasm resource bank, and use the association to manage and visualize the data of the crop germplasm resource bank.

[0073] A germplasm resource management platform is constructed by accessing the crop germplasm resource information database. The germplasm resource management platform is used for monitoring and early warning of germplasm resources, and multi-condition screening and retrieval of basic information and trait data of germplasm resources based on user permissions, and outbound management is performed.

[0074] The storage location is obtained based on the search results of crop germplasm resources, and the inventory status is updated after the germplasm resources are approved for release.

[0075] It should be noted that the basic information, agronomic traits, and characteristics of the physical germplasm resources already in the database are collected. The collected data is classified according to crop type, and the number of data entries for each type of germplasm resource is preset. Data sequences for each type of resource are constructed to obtain germplasm resource information. For example, crop germplasm resources are divided into several major categories such as food crops, vegetables, oil crops, and forage and green manure. Several sub-crops can be added to each major category. Then, the data catalog to be entered for each type of crop is customized according to the characteristics of different crops. The entry requirements can be preset with the values ​​of the indicators, selected or filled in, or a batch can be imported. At the same time, the file can be exported after filtering the indicators for further editing. The basic information indicators of each resource defined in this standard are consistent with the location management. Source tags are set for data sequences of various types of germplasm resources. Germplasm resources from different sources (stock propagation, newly collected, and temporary propagation) are entered in batches. The data catalogs for each type of crop are customized according to the characteristics of the data sequences of various types of germplasm resources. Data is filled according to the standardization standards of data in different catalogs. The data in the germplasm resource sequences after data filling are filtered by comparing the filling results of each data indicator with the corresponding preset thresholds. Abnormal data with filling results less than the corresponding preset thresholds are removed. The filtered germplasm resource sequences are stored in the crop germplasm resource information database.

[0076] According to an embodiment of the present invention, a germplasm resource management platform is constructed by accessing the crop germplasm resource information database, and the germplasm resource management platform is used for monitoring and early warning of germplasm resources, specifically as follows:

[0077] A germplasm resource management platform is constructed by establishing a data retrieval index in the crop germplasm resource information database and restricting query conditions according to the user interface, based on the data retrieval index and user interface permissions.

[0078] Inventory monitoring is conducted based on the basic information of various types of germplasm resources through the germplasm resource management platform, and viability monitoring is established based on the screening results of germplasm resources.

[0079] Preset the vigor thresholds for various types of germplasm resources, determine whether the vigor monitoring data of various types of germplasm resources are lower than the vigor thresholds, if they are lower, generate relevant early warning information, add the corresponding types of germplasm resources to the list to be propagated, and establish propagation tasks;

[0080] The materials for the propagation task are sorted according to specific information, a propagation number is generated, and the propagation task sorting is exported. Propagation is carried out according to the propagation task sorting. When all propagation tasks are completed, the materials are imported into the germplasm resource bank.

[0081] It should be noted that all germplasm resources already in storage can be displayed and queried on the germplasm resource management platform. The main information displayed includes: germplasm name, germplasm number, germplasm storage location number, storage date, propagation date, inventory weight, germination rate, and origin. Users can also filter based on basic information, and selected materials can be exported in batches or added to propagation lists, monitoring lists, or discarded items. Inventory monitoring and related early warning generation based on the basic information of various types of germplasm resources include: exceeding the storage period; quality (low germination rate, severe contamination, low purity) and weight not meeting standards upon storage; and individual germplasm resources reaching weight below the warning value after being removed from storage. After generating relevant early warnings for the above situations, propagation tasks can be created, and new propagation tasks can be created in batches as needed.

[0082] According to an embodiment of the present invention, multi-condition screening and retrieval of basic information and trait data of germplasm resources based on user permissions, and subsequent outbound management, are performed as follows:

[0083] Extract the interface permissions of the accessing user, obtain the corresponding page information based on the interface permissions, and match the corresponding filter conditions based on the interface permissions to set different permission levels for ordinary users, editing users, and administrator users respectively.

[0084] When the accessing user is an administrator user, the status data of various types of germplasm resources in the germplasm resource bank is obtained. The status data is analyzed to determine the germplasm resource bank's outbound needs. Germplasm resources to be outbound are marked as to be outbound, and outbound reason tags are set for germplasm resources marked as to be outbound.

[0085] The germplasm resources to be shipped are classified according to the shipping reason label, the corresponding germplasm resource information is extracted, and the pre-shipment documents are screened according to the corresponding germplasm resource information as required. The shipping reasons are divided into: exchange shipping, propagation shipping, viability monitoring shipping and culling shipping.

[0086] The warehouse location is obtained from the pre-outbound document, and the inventory status is updated after the germplasm resource outbound is approved.

[0087] It should be noted that user permission settings are mainly divided into three roles: administrator users have all permissions; editor users and administrator users can be granted permissions to edit whichever type of material according to actual operational needs, and can only edit and view that type of material; ordinary users only have the permission to view and filter entered data, and can export basic data.

[0088] It should be noted that the multi-dimensional analysis of germplasm resource information to obtain a heterogeneous graph network of germplasm resource information specifically involves: performing multi-dimensional statistical analysis on various types of germplasm resource information; obtaining corresponding chart information based on the multi-dimensional statistical analysis; acquiring business demands for various types of germplasm resources within a predetermined time frame using big data; using various types of germplasm resources and business demands as nodes in the heterogeneous graph, and using the corresponding chart information obtained from the multi-dimensional statistical analysis as supplementary nodes; generating the relationship between various types of germplasm resources and business demands as edges in the heterogeneous graph; learning the heterogeneous graph based on a graph neural network; representing the business demand relationship of various types of germplasm resources through neighbor clustering of the graph neural network; predicting the business demand of related germplasm resources based on the business demand of a certain type of germplasm resource; and making targeted adjustments to the inventory monitoring threshold set in the crop germplasm resource information database based on the predicted business demand.

[0089] It should be noted that the target germplasm resource information for external sharing is selected through the germplasm resource management platform and sent to the germplasm resource sharing module. The germplasm resource sharing module then filters and exports the information. For example, a website-style page for external display is established, divided into sections such as news reports, featured resources, and germplasm resources, showcasing its characteristics and achievements to the public online. Relevant data of the selected target germplasm resource information is obtained using big data methods. This retrieved data is compared with the target germplasm resources in the current germplasm resource bank to obtain the similarity deviation between the quality traits in the target germplasm resource information and the relevant data. The specificity of the target germplasm resource is determined based on the similarity deviation. When the similarity deviation of the quality trait is greater than a preset deviation threshold and the quality trait is superior to the relevant data, a specific label is set for the target germplasm resource information. The germplasm resource information with the specific label is matched with a specific sharing format to generate shared content, which is then displayed using the preset display format of the germplasm resource sharing module.

[0090] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0091] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0092] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0093] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0094] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0095] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for managing information on a crop germplasm resource, characterized by, The method comprises the following steps: Obtaining crop germplasm resource information, screening the crop germplasm resource information, and storing the germplasm resource information meeting the preset standards in a crop germplasm resource information database; Associating the crop germplasm resource information database with a crop germplasm resource library, and performing data management and data visualization of the crop germplasm resource library through the association; Building a germplasm resource management platform by accessing the crop germplasm resource information database, monitoring and warning the germplasm resources by using the germplasm resource management platform, performing multi-condition screening and retrieval of germplasm resource basic information and trait data based on user permissions, and performing out-of-stock management; According to the retrieval result of the crop germplasm resource, the position is located, and the stock state is updated after the approval of the out-of-stock of the germplasm resource; Building a germplasm resource management platform by accessing the crop germplasm resource information database, monitoring and warning the germplasm resources by using the germplasm resource management platform, specifically: Building a germplasm resource management platform by accessing the crop germplasm resource information database, monitoring and warning the germplasm resources by using the germplasm resource management platform, specifically: According to the basic information of various types of germplasm resources, the stock is monitored based on the germplasm resource management platform, and the vitality monitoring is established according to the screening result of the germplasm resource; Preset the vitality threshold of various types of germplasm resources, judge whether the vitality monitoring data of various types of germplasm resources is lower than the vitality threshold, if lower, generate relevant warning information, and add the corresponding type of germplasm resource to the reproduction list, and establish the reproduction task; Sort the reproduction task materials, generate reproduction number and export reproduction work sorting, reproduce according to the reproduction work sorting, and import the germplasm resource library when all the reproduction tasks are completed; Multi-dimensional analysis is performed on the germplasm resource information to obtain a heterogeneous graph network of the germplasm resource information, specifically: Various types of germplasm resource information are subjected to multi-dimensional statistical analysis, corresponding chart information is obtained according to the multi-dimensional statistical analysis, and the business demand of various types of germplasm resources in a predetermined range within a predetermined time is obtained through big data; Various types of germplasm resources and business demands are used as nodes in the heterogeneous graph, and the corresponding chart information obtained by multi-dimensional statistical analysis is used as a supplementary node of the node, and the relationship between various types of germplasm resources and business demands is generated as an edge in the heterogeneous graph; Based on the graph neural network, the heterogeneous graph is learned, the business demand relationship of various types of germplasm resources is represented through neighbor clustering of the graph neural network, and the business demand of the associated germplasm resource is predicted according to the business demand of a certain type of germplasm resource; According to the predicted business demand, the stock monitoring threshold set in the crop germplasm resource information database is adjusted.

2. The crop germplasm information management method according to claim 1, characterized by, The method for obtaining crop germplasm resource information and screening the crop germplasm resource information comprises the following steps: Collecting the basic information, agronomic traits and characteristics of the physical germplasm resources that have been stored in the warehouse, classifying the collected data according to the types of crops, presetting the data quantity of various types of germplasm resources, constructing data sequences of various types of resources to obtain germplasm resource information; The data sequence of various types of germplasm resources is set with a source label, and the data directory required to be entered by various types of crops is customized according to the characteristics of the data sequence of various types of germplasm resources; According to the standardized standard of the data under different directories, the data of the various types of germplasm resource sequence after data filling is screened, and the filling results of each data index are compared with the corresponding preset threshold value; The abnormal data with the filling result less than the corresponding preset threshold value is removed, and the screened germplasm resource sequence is stored in the crop germplasm resource information database.

3. The crop germplasm information management method according to claim 1, characterized by, Based on user permissions, the basic information and trait data of germplasm resources are screened and searched with multiple conditions, and the warehouse management is carried out, specifically: Extract the interface permissions of the access user, obtain the corresponding page information according to the interface permissions, and match the corresponding screening condition options based on the interface permissions, set different permission levels for ordinary users, editing users and administrator users respectively; When the access user is an administrator user, the state data of various types of germplasm resources in the germplasm resource library is obtained, the state data is analyzed to determine the warehouse demand of the germplasm resource library, the germplasm resources to be taken out are marked as to be taken out, and the germplasm resources marked as to be taken out are set with a warehouse reason label; According to the warehouse reason label, the germplasm resources to be taken out are classified, the corresponding germplasm resource information is extracted, and the pre-outbound documents are screened according to the corresponding germplasm resource information, the warehouse reason is divided into: exchange out, propagation out, vitality monitoring out and elimination out; The pre-outbound documents obtain the location positioning, and update the inventory state after approving the germplasm resource out of the warehouse.

4. The crop germplasm information management method according to claim 1, characterized by, Further including, creating a germplasm resource sharing module through a germplasm resource management platform, selecting germplasm resource information for display and sharing in a preset sharing form, specifically: Select the target germplasm resource information for external sharing through the germplasm resource management platform, send it to the germplasm resource sharing module, and use the germplasm resource sharing module for screening and exporting; Obtain the related data of the selected target germplasm resource information through big data method, compare the related data obtained by searching with the target germplasm resource in the current germplasm resource library, and obtain the similarity deviation of the quality traits in the target germplasm resource information and the related data; According to the similarity deviation, the specificity of the target germplasm resource is judged, when the quality trait similarity deviation is greater than the preset deviation threshold and the quality trait is better than the related data, the target germplasm resource information is set with a specificity label; The germplasm resource information with the specificity label is matched with the preset sharing form to generate sharing content, and the sharing content is displayed in the preset display form of the germplasm resource sharing module.

5. A crop germplasm information management system characterized by comprising: The system includes a memory and a processor, the memory includes a crop germplasm resource information management method program, and the crop germplasm resource information management method program is executed by the processor to realize the following steps: Obtain the crop germplasm resource information, screen the crop germplasm resource information, and store the germplasm resource information meeting the preset standard in the crop germplasm resource information database; The crop germplasm resource information database is associated with the crop germplasm resource library, and data management and data visualization of the crop germplasm resource library are performed through the association; A germplasm resource management platform is constructed by accessing the crop germplasm resource information database, and the germplasm resource management platform is used for monitoring and early warning of the germplasm resources, multi-condition screening and retrieval of basic information and trait data of the germplasm resources are performed based on user permissions, and out-of-stock management is performed; According to the retrieval result of the crop germplasm resource, the location of the storage position is obtained, and the inventory state is updated after the approval of the out-of-stock of the germplasm resource; A germplasm resource management platform is constructed by accessing the crop germplasm resource information database, and the germplasm resource management platform is used for monitoring and early warning of the germplasm resources, specifically: A data retrieval index is established in the crop germplasm resource information database, and query conditions are limited according to a user interface, and the germplasm resource management platform is constructed according to the data retrieval index and user interface permissions; According to the basic information of various types of germplasm resources, the inventory monitoring is performed based on the germplasm resource management platform, and the vitality monitoring is established according to the screening result of the germplasm resources; The vitality threshold of various types of germplasm resources is preset, and it is judged whether the vitality monitoring data of various types of germplasm resources is lower than the vitality threshold, if lower, the related early warning information is generated, and the corresponding type of germplasm resource is added to the list of to-be-propagated, and a propagation task is established; The propagation task materials are sorted, a propagation number is generated and a propagation work sorting is exported, and the propagation is performed according to the propagation work sorting, and when all the propagation tasks are completed, the germplasm resource library is imported; The germplasm resource information is subjected to multi-dimensional analysis to obtain a heterogeneous graph network of the germplasm resource information, specifically: Various types of germplasm resource information are subjected to multi-dimensional statistical analysis, corresponding chart information is obtained according to the multi-dimensional statistical analysis, and the business demand of various types of germplasm resources in a predetermined range within a predetermined time is obtained through big data; Various types of germplasm resources and business demands are taken as nodes in the heterogeneous graph, and the corresponding chart information obtained by multi-dimensional statistical analysis is taken as a supplementary node of the node, and the relationship between various types of germplasm resources and business demands is taken as an edge in the heterogeneous graph; The heterogeneous graph is learned based on a graph neural network, the business demand relationship of various types of germplasm resources is represented through neighbor clustering of the graph neural network, and the business demand of an associated germplasm resource is predicted according to the business demand of a certain type of germplasm resource; The inventory monitoring threshold set in the crop germplasm resource information database is adjusted according to the predicted business demand.

6. The crop germplasm information management system according to claim 5, wherein Multi-condition screening and retrieval of basic information and trait data of the germplasm resources are performed based on user permissions, and out-of-stock management is performed, specifically: The interface permissions of the accessed user are extracted, the corresponding page information is obtained according to the interface permissions, and the corresponding screening condition options are matched based on the interface permissions, different permission levels are set for ordinary users, editing users and administrator users respectively; When the access user is an administrator user, state data of various types of germplasm resources in the germplasm resource library are acquired, the state data are analyzed to determine the out-of-library demand of the germplasm resource library, the germplasm resources to be taken out of the library are marked, and the marked germplasm resources are set with an out-of-library reason label; The germplasm resources to be taken out of the library are classified according to the out-of-library reason label, corresponding germplasm resource information is extracted, and pre-out-of-library documents are screened according to the corresponding germplasm resource information according to requirements, the out-of-library reasons including exchange out-of-library, propagation out-of-library, vitality monitoring out-of-library, and elimination out-of-library; The pre-out-of-library documents are acquired to determine the location, and the inventory state is updated after the out-of-library of the germplasm resources is approved.

7. The crop germplasm information management system according to claim 5, wherein Further comprising creating a germplasm resource sharing module through a germplasm resource management platform, selecting germplasm resource information to be shared according to a preset sharing form, and specifically comprising: Selecting target germplasm resource information to be shared externally through the germplasm resource management platform, sending the information to the germplasm resource sharing module, and screening and exporting the information using the germplasm resource sharing module; Obtaining relevant data of the selected target germplasm resource information through a big data method, comparing the relevant data obtained by searching with the target germplasm resource in the current germplasm resource library, and obtaining the similarity deviation of the quality traits in the target germplasm resource information and the relevant data; Determining the specificity of the target germplasm resource according to the similarity deviation, and setting a specificity label for the target germplasm resource information when the quality trait similarity deviation is greater than a preset deviation threshold and the quality trait is better than the relevant data; Matching the germplasm resource information with the specificity label to a preset sharing form to generate sharing content, and displaying the sharing content using a preset display form of the germplasm resource sharing module.

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