Phellinus igniarius germplasm resource protection, development and utilization method

Abstract

The invention relates to the technical field of bioinformatics, in particular to a phellinus igniarius germplasm resource protection, development and utilization method, which comprises the following steps: acquiring a preset number of germplasm resources associated with the picking period and picking frequency of phellinus igniarius in each region, and feature information of the phellinus igniarius in each region; any phellinus igniarius is set as effective phellinus igniarius, the matching degree value of the effective phellinus igniarius and the phellinus igniarius in other areas is obtained according to the difference of the same strain feature information between the effective phellinus igniarius and the phellinus igniarius in other areas, candidate phellinus igniarius of the effective phellinus igniarius is screened out, and the adjustment application value score confidence coefficient of the effective phellinus igniarius associated with each germplasm resource is obtained; and according to the adjustment application value score confidence of the phellinus igniarius in each region associated with each germplasm resource, associated with a cost function of the latent semantic model for adjustment, obtaining a predicted application value matrix, and associated with protection strategy information of each germplasm resource for adjustment. The protection strategy information of the germplasm resources can be accurately adjusted, and the maturing utilization rate of the germplasm resources is improved.

Description

Technical Field

[0001] The present invention relates to the field of genetic-related data processing information technology in bioinformatics, and in particular to a method for protecting, developing and utilizing Phellinus igniarius germplasm resources. Background Art

[0002] With the development of big data, big data can be used to provide adaptive protection strategy information adjustment services for biological genetic data resources such as germplasm resources. Among them, adaptive adjustment can adjust the content that is more in line with the characteristics of germplasm resources based on the characteristics of germplasm resources, thereby improving the demand satisfaction of germplasm resources.

[0003] The existing method adaptively adjusts the protection strategy information of germplasm resources, but only obtains the final predicted application value score matrix based on the picking situation of Coriolus versicolor by the germplasm resources, and determines the protection strategy information adjusted to the germplasm resources. It ignores the information of Coriolus versicolor itself and the information of the germplasm resources themselves, resulting in an inability to fully understand the reasons behind the behavior of germplasm resources. For example, the different cycles of germplasm resources using protection strategies lead to great differences in the picking situation of Coriolus versicolor, resulting in inaccurate application value scores of some germplasm resources for certain Coriolus versicolor, etc., which makes the final predicted application value score matrix inaccurate, resulting in inaccurate adjustment of the protection strategy information of germplasm resources, and reducing the mature utilization rate of germplasm resources. Summary of the Invention

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] According to the first aspect of the present invention, the present invention claims a method for protecting and developing and utilizing Phellinus igniarius germplasm resources, the method comprising the following steps:

[0006] Obtaining a preset number of germplasm resources associated with the picking cycle and picking frequency of Phellinus igniarius in each region, as well as regional characteristic information of Phellinus igniarius in each region; setting the first time point of each picking of Phellinus igniarius in each region associated with each germplasm resource as the picking time point;

[0007] According to the picking cycle, the application value score of each germplasm resource associated with each region of Phellinus igniarius was obtained; according to the matching status of the application value score of each germplasm resource associated with each other germplasm resource, the number of strains of the jointly picked Phellinus igniarius, and the difference in the application value score of the jointly picked Phellinus igniarius, the application value score outlier of each germplasm resource was obtained;

[0008] Any type of Phellinus linteus is set as valid Phellinus linteus, and according to the difference between the same strain characteristic information between valid Phellinus linteus and Phellinus linteus in other regions, the matching value between valid Phellinus linteus and Phellinus linteus in other regions is obtained, and the candidate Phellinus linteus of valid Phellinus linteus is screened out; according to the application value score abnormal value of each germplasm resource, the matching value between valid Phellinus linteus and candidate Phellinus linteus in each region, and the application value score of each germplasm resource associated with the candidate Phellinus linteus in each region, the confidence level of the application value score of each germplasm resource associated with valid Phellinus linteus is obtained;

[0009] The confidence level of the application value score is adjusted based on the association, and the confidence level of the adjusted application value score of each germplasm resource associated with effective Phellinus igniarius is obtained;

[0010] According to the confidence level of the adjusted application value score of Coriolus igniarius in each region associated with each germplasm resource, the cost function of the latent semantic model is adjusted to obtain the predicted application value matrix, and the protection strategy information of each germplasm resource is associated to make adjustments.

[0011] Furthermore, the method for obtaining the application value score is:

[0012] The harvesting period of Coriolus versicolor in each region associated with each germplasm resource is recorded in a standardized manner, and the application value score of Coriolus versicolor in each region associated with each germplasm resource is set.

[0013] Furthermore, the method for obtaining the application value score abnormal value is:

[0014] The Phellinus igniarius that were picked from both germplasm resources a and b are set as the tested Phellinus igniarius;

[0015] The application value scores of Phellinus igniarius detected in each region are associated with the a-th germplasm resource and set as the first region status information;

[0016] The b-th germplasm resource is associated with the application value score of Phellinus igniarius detected in each region and set as the second region status information;

[0017] Obtain the correlation between the first region status information and the second region status information, and set it as the value difference score (correlation) between the a-th germplasm resource and the b-th germplasm resource;

[0018] Obtain the value difference score (correlation) between the a-th germplasm resource and each other germplasm resource, and set the other germplasm resources corresponding to the value difference score (correlation) greater than the preset value difference score (correlation) threshold as candidate germplasm resources for the a-th germplasm resource;

[0019] For any candidate germplasm resource of the a-th germplasm resource, obtain the first development value between the a-th germplasm resource and the candidate germplasm resource based on the value difference score (correlation) between the a-th germplasm resource and the candidate germplasm resource, the number of regions where strains of Phellinus linteus were detected, and the difference in application value scores of Phellinus linteus detection in each region associated with the a-th germplasm resource and the candidate germplasm resource;

[0020] The cumulative record of the first development value between the a-th germplasm resource and each candidate germplasm resource is set as the application value score outlier of the a-th germplasm resource.

[0021] Furthermore, the method of obtaining the matching value between the effective Phellinus linteus and the Phellinus linteus in other regions based on the characteristic information difference between the effective Phellinus linteus and the same strain of Phellinus linteus in other regions, and screening out the candidate Phellinus linteus of the effective Phellinus linteus is:

[0022] For any characteristic information of Phellinus linteus, the negatively correlated and standardized record of the difference between the characteristic information of Phellinus linteus in the kth region and the characteristic information of Phellinus linteus in the gth region is set as the matching record of the characteristic information between the characteristic information of Phellinus linteus in the kth region and the characteristic information of Phellinus linteus in the gth region;

[0023] Obtain the average of all matching records of characteristic information between the Phellinus linteus in the kth region and the Phellinus linteus in the gth region, and set it as the matching degree value between the Phellinus linteus in the kth region and the Phellinus linteus in the gth region;

[0024] Obtaining the matching value of Phellinus linteus in the kth region and Phellinus linteus in other regions, arranging the matching values ​​of Phellinus linteus in the kth region and Phellinus linteus in other regions from large to small, and obtaining a matching value result;

[0025] Setting the first preset number of matching values ​​in the matching value results as valid matching values;

[0026] Other Phellinus igniarius other than the Phellinus igniarius in the k-th region corresponding to each valid matching value are set as candidate Phellinus igniarius of the Phellinus igniarius in the k-th region.

[0027] Furthermore, the method for obtaining the confidence level of the application value score is:

[0028] For any candidate Phellinus linteus of the effective Phellinus linteus, according to the matching value between the effective Phellinus linteus and the candidate Phellinus linteus, and the application value score of each germplasm resource associated with the candidate Phellinus linteus, the first germplasm value of the effective Phellinus linteus and the candidate Phellinus linteus is obtained;

[0029] The cumulative record of the first germplasm value of effective Phellinus linteus and its candidate Phellinus linteus in each region is set as the reliable candidate value of effective Phellinus linteus;

[0030] The records with negative correlation and normalization of outliers in the application value scores of each germplasm resource were set as the reliable adjustment values ​​of the corresponding germplasm resource;

[0031] The product of the reliable adjustment value of each germplasm resource and the reliable candidate value of effective Coriolus versicolor is set as the confidence score of the application value of the corresponding germplasm resource associated with effective Coriolus versicolor.

[0032] Furthermore, the method for obtaining the predicted application value matrix is ​​to adjust the cost function of the latent semantic model based on the confidence level of the adjusted application value score of Phellinus igniarius in each region associated with each germplasm resource as follows:

[0033] The application value score of Phellinus igniarius in each region associated with each germplasm resource is set as an element to construct a first application value matrix; wherein, a row of the first application value matrix corresponds to a germplasm resource, and a column corresponds to a Phellinus igniarius strain;

[0034] Setting the elements in the first application value matrix that are greater than a third preset constant as valid elements, and determining the confidence level of the adjusted application value score corresponding to each valid element according to the coordinates of the valid elements in the first application value matrix;

[0035] Adjust the cost function of the latent semantic model associated with the adjusted application value score confidence corresponding to each valid element to obtain an adjusted cost function;

[0036] According to the adjusted cost function, the potential indicator matrix of germplasm resources and the potential indicator matrix of Coriolus igniarius were obtained, and the prediction application value matrix was constructed.

[0037] The present invention relates to the field of agricultural information technology, and in particular to a method for the protection, development and utilization of mulberry linterella germplasm resources, obtaining a preset number of germplasm resources associated with the picking cycle and picking frequency of mulberry linterella in each region, and the regional characteristic information of mulberry linterella in each region; setting any mulberry linterella as effective mulberry linterella, according to the difference between the effective mulberry linterella and the same strain characteristic information of mulberry linterella in other regions, obtaining the matching value of the effective mulberry linterella and the mulberry linterella in other regions, screening out the candidate mulberry linterella of the effective mulberry linterella, obtaining the adjusted application value score confidence of each germplasm resource associated with the effective mulberry linterella; adjusting the cost function of the latent semantic model according to the adjusted application value score confidence of mulberry linterella in each region associated with each germplasm resource, obtaining a predicted application value matrix, and adjusting the protection strategy information associated with each germplasm resource. The present invention can accurately adjust the protection strategy information of germplasm resources and improve the mature utilization rate of germplasm resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of a method for protecting and developing and utilizing Phellinus igniarius germplasm resources as claimed in an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The following will be used in conjunction with the accompanying 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 embodiments described are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0040] The terms "first", "second" and "third" in the present invention are used only for descriptive purposes and should not be understood as indicating or implying the associated importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second" and "third" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "multiple" is at least two, for example, two, three, etc., unless otherwise clearly and specifically defined. All directional indications in the embodiments of the present invention (such as up, down, left, right, front, back...) are only used to explain the associated positional relationship, motion state, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0041] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0042] The following describes in detail a specific scheme of a method for protecting and developing and utilizing Phellinus igniarius germplasm resources provided by the present invention in conjunction with the accompanying drawings.

[0043] The specific scenario of the embodiment of the present invention is: by analyzing the picking status of Coriolus versicolor in each region associated with each germplasm resource, the first application value matrix is ​​obtained, and then through the latent semantic model, combined with the parameters of different Coriolus versicolor, the potential indicator vectors of germplasm resources and Coriolus versicolor are obtained, and a predicted application value matrix is ​​constructed to realize the adjustment of the protection strategy information associated with each germplasm resource.

[0044] The purpose of the embodiment of the present invention is: in the actual state, the cycles of different germplasm resources using protection strategies are different. It is inaccurate to infer the degree of preference of germplasm resources associated with mulberry yellow only through the picking cycle of germplasm resources associated with mulberry yellow. At the same time, there may also be a state where some mulberry yellow is maliciously promoted, and thus it is impossible to accurately predict the degree of preference of germplasm resources associated with mulberry yellow, resulting in the inability to accurately predict the predicted application value score of each germplasm resource associated with each region of mulberry yellow through the latent semantic model, and it is impossible to associate germplasm resources for accurate protection strategy information adjustment. Therefore, the embodiment of the present invention associates the information of the common picking of mulberry yellow between different germplasm resources for analysis, obtains the application value score abnormal value of each germplasm resource, and avoids the state where the application value score of the germplasm resource personal factor association causes a large error; further associates the attributes between each mulberry yellow for analysis, obtains the matching mulberry yellow of each region, and determines the reliability of the corresponding application value score of mulberry yellow in each region according to the application value score status of the germplasm resource association matching mulberry yellow; and then obtains the application value score confidence of the germplasm resource association mulberry yellow according to the application value score status of the germplasm resource association matching mulberry yellow and the application value score abnormal value of the germplasm resource. , to avoid the impact of malicious promotion of mulberry yellow; taking into account the property that the application value score will degenerate over time, therefore, according to the time point corresponding to the picking of mulberry yellow associated with the germplasm resource and the current time point, the confidence of the associated application value score is further adjusted to obtain the adjusted application value score confidence of mulberry yellow associated with each region of each germplasm resource; then, according to the adjusted application value score confidence, the cost function of the latent semantic model is accurately adjusted to improve the accuracy of the latent semantic model in predicting the application value score, and then the protection strategy information of the associated germplasm resource is accurately adjusted, effectively improving the satisfaction and usage of the germplasm resource. Among them, the latent semantic model is a well-known technology and will not be described in detail.

[0045] See also Figure 1 , which shows a flow chart of a method for protecting and developing phellinus igniarius germplasm resources provided by one embodiment of the present invention, the method comprising the following steps:

[0046] Step S1: Obtain a preset number of germplasm resources associated with the picking cycle and picking frequency of Phellinus igniarius in each region, as well as regional characteristic information of Phellinus igniarius in each region; set the first time point of each picking of Phellinus igniarius in each region associated with each germplasm resource as the picking time point.

[0047] Specifically, the relevant information of the mulberry linterae picked in the protection strategy of the germplasm resources and the information of the mulberry linterae in each region are all recorded in the big data. In the big data, each germplasm resource and each region of mulberry linterae have a unique id, wherein a mulberry linterae is exactly the same mulberry linterae. Therefore, based on the big data, the picking cycle and picking frequency of each germplasm resource associated with each region of mulberry linterae, as well as the regional characteristic information of each region of mulberry linterae are obtained. Among them, the picking cycle of each germplasm resource associated with each region of mulberry linterae is the sum of all picking cycles of each germplasm resource associated with each region of mulberry linterae, and the characteristic information of each region of mulberry linterae includes multiple characteristic information such as the price of mulberry linterae, applicable age, size, weight, etc. The embodiment of the present invention is analyzed by taking 500 germplasm resources as an example, that is, the preset number is set to 500. The implementer can set the size of the preset number according to the actual state, which is not limited here. Among them, the ids of the 500 germplasm resources are not the same. Each picking of Coriolus versicolor associated with each germplasm resource in each region corresponds to a time period. In order to determine the picking status of Coriolus versicolor associated with each germplasm resource in each region, the first time point of each picking of Coriolus versicolor associated with each germplasm resource in each region recorded in the big data is set as the picking time point.

[0048] Step S2: According to the picking cycle, obtain the application value score of each germplasm resource associated with each region of Phellinus igniarius; according to the matching status of the application value score of the jointly picked Phellinus igniarius between each germplasm resource and each other germplasm resource, the number of strains of the jointly picked Phellinus igniarius, and the difference in the application value scores of the jointly picked Phellinus igniarius, obtain the application value score anomaly of each germplasm resource.

[0049] Specifically, when the germplasm resource is more suitable for a certain type of Phellinus igniarius, the corresponding picking cycle is longer. Therefore, by associating the picking cycle of Phellinus igniarius in each region with each germplasm resource, the evaluation index of Phellinus igniarius in each region of each germplasm resource is obtained. The embodiment of the present invention records the picking cycle of Phellinus igniarius in each region of each germplasm resource in a standardized manner, and sets it as the application value score of Phellinus igniarius in each region of each germplasm resource. The larger the application value score, the more suitable the corresponding germplasm resource is for the corresponding Phellinus igniarius. Among them, when a certain germplasm resource is associated with a certain type of Phellinus igniarius and is not picked, the corresponding picking cycle is set to 0, and the standardization of the 0 mapping is also 0. Therefore, the application value score of Phellinus igniarius in each region of each germplasm resource is obtained. Taking into account the differences in the cycles and frequencies of the use of protection strategies for different germplasm resources, when the picking cycles of each germplasm resource associated with each region of Phellinus ignia are standardized, the application value scores of the germplasm resources associated with fewer protection strategies will be too low. At the same time, it will also cause the application value scores of the germplasm resources associated with more protection strategies to be unable to accurately distinguish between multiple Phellinus ignia. In order to accurately adjust the protection strategy information associated with each germplasm resource, the application value score status of each germplasm resource is analyzed to determine whether the application value score of each germplasm resource is accurate. It is known that for germplasm resources with high correlation, the application value scores of associated common picking of Phellinus ignia should be matched. The embodiment of the present invention obtains the common picking of Phellinus ignia between each germplasm resource and each other germplasm resource, and determines the candidate germplasm resource with high correlation corresponding to each germplasm resource based on the matching status of the application value scores of associated common picking of Phellinus ignia with each other germplasm resource, wherein there must be common picking of Phellinus ignia between each germplasm resource and its candidate germplasm resource. The greater the difference in the application value scores of each germplasm resource associated with its candidate germplasm resource for jointly picking Phellinus igniarius, the more likely it is that there is an abnormality in the application value scores of the corresponding germplasm resource. Therefore, the embodiment of the present invention obtains the abnormal value of the application value score of each germplasm resource based on the matching status of the application value scores of jointly picking Phellinus igniarius associated with each germplasm resource and each other germplasm resource, the number of strains of jointly picking Phellinus igniarius, and the difference in the application value scores of jointly picking Phellinus igniarius.

[0050] Preferably, the method for obtaining an abnormal value of the application value score is as follows: the mulberry linterae that is picked together between the a-th germplasm resource and the b-th germplasm resource is set as the detection mulberry linterae; the application value score of the detection mulberry linterae of each region of the a-th germplasm resource is set as the first region state information; the application value score of the detection mulberry linterae of each region of the b-th germplasm resource is set as the second region state information; the correlation between the first region state information and the second region state information is obtained, and is set as the value difference score (correlation) between the a-th germplasm resource and the b-th germplasm resource; when the value difference score (correlation) is larger, it indicates that the first region state information and the second region state information are more matched, which indirectly indicates that the correlation between the a-th germplasm resource and the b-th germplasm resource is larger. Wherein, the method for obtaining the correlation is a known technology and will not be repeated here. Obtain the value difference score (correlation) between the a-th germplasm resource and each of the other germplasm resources, set the other germplasm resources corresponding to the value difference score (correlation) greater than the preset value difference score (correlation) threshold as the candidate germplasm resources of the a-th germplasm resource, determine the germplasm resources with high correlation with the a-th germplasm resource, and improve the efficiency of analyzing the application value score status associated with the a-th germplasm resource. For any candidate germplasm resource of the a-th germplasm resource, the greater the value difference score (correlation) between the a-th germplasm resource and the candidate germplasm resource, and the greater the number of strain regions for detecting Phellinus igniarius, it means that the a-th germplasm resource is more matched with the candidate germplasm resource. When the difference in the application value scores of Phellinus igniarius detected in each region associated with the a-th germplasm resource and the candidate germplasm resource is greater (the correlation is small), it means that the application value scores of Phellinus igniarius detected in each region associated with the a-th germplasm resource are more likely to be abnormal. Therefore, according to the correlation between the a-th germplasm resource and the candidate germplasm resource, the application value scores of Phellinus igniarius detected in each region are more likely to be abnormal. The first development value between the ath germplasm resource and the candidate germplasm resource is obtained by combining the value difference score (correlation) between the two sources, the number of strain regions detected for Phellinus igniarius, and the difference in the application value scores of Phellinus igniarius detected in each region associated with the ath germplasm resource and the candidate germplasm resource; the larger the first development value, the more likely there is an anomaly in the application value score of the ath germplasm resource associated with Phellinus igniarius; the cumulative record of the first development value between the ath germplasm resource and each candidate germplasm resource is set as the application value score anomaly value of the ath germplasm resource. Among them, the larger the application value score anomaly value, the more inaccurate the application value score of the ath germplasm resource associated with Phellinus igniarius.

[0051] As an example, taking the i-th germplasm resource as an example, the embodiment of the present invention sets the preset value difference score (correlation) threshold to 0.6. The implementer can set the value difference score (correlation) threshold according to the actual situation, which is not limited here, and then obtain the candidate germplasm resource of the i-th germplasm resource. Among them, the specific method of obtaining the abnormal value of the application value score of the i-th germplasm resource is as follows:

[0052] (1) Obtain the first development value.

[0053] Taking the first development value between the i-th germplasm resource and its u-th candidate germplasm resource as an example, the calculation formula for obtaining the first development value between the i-th germplasm resource and its u-th candidate germplasm resource is:

[0054] Where, P i,u is the first development value between the i-th germplasm resource and its u-th candidate germplasm resource; n i，u is the number of regions where P. linteus strains were detected between the i-th germplasm resource and its u-th candidate germplasm resource; γ i,u is the value difference score (correlation) between the i-th germplasm resource and its u-th candidate germplasm resource; f i,j The application value score of Phellinus igniarius detected in the jth region for the i-th germplasm resource; The application value score of Phellinus igniarius detected in the jth region associated with the uth candidate germplasm resource of the i-th germplasm resource.

[0055] It should be noted that γ i,u must be greater than 0.6, there must be common picking of Phellinus igniarius between the i-th germplasm resource and its u-th candidate germplasm resource, n i,u ≠ 0. n i,u The larger the γ i,u The larger the value is, the higher the correlation between the i-th germplasm resource and its u-th candidate germplasm resource is. When the value is larger, the difference between the application value scores of the i-th germplasm resource and its u-th candidate germplasm resource in picking mulberry lindera together is greater, and the less it conforms to the normal state, indicating that the application value scores of the i-th germplasm resource associated with mulberry lindera are more likely to be abnormal. i,u The larger the i，u The larger the value is, the more likely the application value score of the i-th germplasm resource associated with Coriolus linteus is to be inaccurate.

[0056] According to the method for obtaining the first development value between the i-th germplasm resource and its u-th candidate germplasm resource, the first development value between the i-th germplasm resource and each of its candidate germplasm resources is obtained.

[0057] (2) Obtain application value score outliers.

[0058] In order to more accurately analyze the abnormal status of the application value score of Coriolus versicolor associated with the i-th germplasm resource, the record of the accumulated first development value between the i-th germplasm resource and each of its candidate germplasm resources is obtained and set as the abnormal value of the application value score of the i-th germplasm resource. The larger the abnormal value of the application value score of the i-th germplasm resource, the more inaccurate the application value score of Coriolus versicolor associated with the i-th germplasm resource.

[0059] According to the method for obtaining the application value score abnormal value of the i-th germplasm resource, the application value score abnormal value of each germplasm resource is obtained.

[0060] Step S3: Set any type of Phellinus igniarius as valid Phellinus igniarius, and obtain the matching value between the valid Phellinus igniarius and the Phellinus igniarius in other regions based on the difference in the characteristic information of the same strain between the valid Phellinus igniarius and the Phellinus igniarius in other regions, and screen out the candidate Phellinus igniarius of the valid Phellinus igniarius; obtain the confidence level of the application value score of the valid Phellinus igniarius associated with each germplasm resource based on the abnormal value of the application value score of each germplasm resource, the matching value between the valid Phellinus igniarius and the candidate Phellinus igniarius in each region, and the application value score of the candidate Phellinus igniarius in each region associated with each germplasm resource.

[0061] Specifically, in the actual state, the degree of promotion of Phellinus igniarius will affect the application value score of germplasm resources associated with Phellinus igniarius, resulting in an imbalance in the application value score of germplasm resources associated with Phellinus igniarius, making the application value score more biased towards a certain Phellinus igniarius that is maliciously promoted. In order to avoid the malicious promotion of Phellinus igniarius affecting the application value score of germplasm resources associated with Phellinus igniarius, resulting in inaccurate predicted application value scores of subsequent germplasm resources associated with Phellinus igniarius, so that the protection strategy information adjustment of the associated germplasm resources occurs inaccurately, the embodiment of the present invention associates the characteristic information difference of the same strain between Phellinus igniarius in each region and Phellinus igniarius in other regions to analyze. When the difference in characteristic information of the same strain between a certain Phellinus igniarius and a certain Phellinus igniarius is smaller, it means that the two Phellinus igniarius are more matched at this time. Therefore, according to the characteristic information difference of the same strain between Phellinus igniarius in each region and Phellinus igniarius in other regions, the matching value between any two Phellinus igniarius is obtained. When the matching value is larger, it means that the corresponding two Phellinus igniarius are more matched. In order to explain clearly, the embodiment of the present invention randomly selects one Phellinus igniarius as the effective Phellinus igniarius, obtains the matching value between the effective Phellinus igniarius and the Phellinus igniarius in other regions, and screens out the candidate Phellinus igniarius that matches the effective Phellinus igniarius by the size of the matching value. When the application value score of the candidate mulberry lindera associated with the effective mulberry lindera of the germplasm resource is larger, it means that the effective mulberry lindera is more likely to be the popular mulberry lindera, and the possibility that the effective mulberry lindera is maliciously promoted is greater. Therefore, the application value score of the effective mulberry lindera associated with the germplasm resource is more likely to be inaccurate. As shown in step S2, when the application value score abnormal value of a certain germplasm resource is larger, it means that the application value score of the germplasm resource associated with the effective mulberry lindera is more inaccurate. In order to more accurately analyze the reliability of the application value score of each germplasm resource associated with the effective mulberry lindera, therefore, the embodiment of the present invention obtains the application value score confidence of each germplasm resource associated with the effective mulberry lindera according to the application value score abnormal value of each germplasm resource, the matching value of the effective mulberry lindera and the candidate mulberry lindera of each region, and the application value score of each germplasm resource associated with the candidate mulberry lindera of each region. When the application value score confidence is larger, the application value score of the corresponding germplasm resource associated with the effective mulberry lindera is more accurate. Wherein, the specific method for obtaining the application value score confidence of each germplasm resource associated with the effective mulberry lindera is as follows:

[0062] (1) Obtain the matching value.

[0063] Preferably, the method for obtaining the matching value is as follows: for any characteristic information of Phellinus linteus, a negatively correlated and standardized record of the difference between the characteristic information of Phellinus linteus in the kth region and Phellinus linteus in the gth region is set as the matching record of the characteristic information between the Phellinus linteus in the kth region and Phellinus linteus in the gth region; when the matching record is larger, the characteristic information in the Phellinus linteus in the kth region and Phellinus linteus in the gth region is more matched. The average of the matching records of all characteristic information between the Phellinus linteus in the kth region and Phellinus linteus in the gth region is obtained and set as the matching value of the Phellinus linteus in the kth region and Phellinus linteus in the gth region.

[0064] As an example, taking the matching value of Phellinus linteus in the kth region and Phellinus linteus in the gth region as an example, the calculation formula for obtaining the matching value of Phellinus linteus in the kth region and Phellinus linteus in the gth region is:

[0065]

[0066] Where S k，g is the matching value between the Phellinus lintei in the kth region and the Phellinus lintei in the gth region; U is the total number of Phellinus lintei feature information; x k，u is the u-th characteristic information of Phellinus igniarius in the k-th region; x g，u is the u-th characteristic information of Phellinus igniarius in the g-th region; exp is an exponential function with a natural constant as the base; || is the absolute value function.

[0067] It should be noted that |x k，u -x g，u The smaller the x k，u with x g，u The more equal they are, the smaller the difference of the u-th feature information between the k-th region Phellinus linteus and the g-th region Phellinus linteus is, which indirectly indicates that the k-th region Phellinus linteus and the g-th region Phellinus linteus are more matched, exp(-|x k，u -x g，u |) is larger, The larger the S k，g The larger the k，g The larger the value is, the better the match between the kth region Phellinus linteus and the gth region Phellinus linteus is. k，g The value range is 0 to 1.

[0068] According to the method for obtaining the matching value between Phellinus linteus in the kth region and Phellinus linteus in the gth region, the matching value between Phellinus linteus in the kth region and Phellinus linteus in other regions is obtained.

[0069] (2) Obtain candidate Coriolus versicolor.

[0070] As an example, taking the k-th region Phellinus linteus as an example, the method for obtaining candidate Phellinus linteus for the k-th region Phellinus linteus is as follows: the matching values ​​of the k-th region Phellinus linteus and the other regions Phellinus linteus are arranged from large to small to obtain a matching value result; the first preset number of matching values ​​in the matching value result are set as valid matching values; in this embodiment of the present invention, the first preset number is set to 10, and the implementer can set the size of the first preset number according to the actual situation, which is not limited here. The other Phellinus linteus corresponding to each valid matching value other than the k-th region Phellinus linteus is set as the candidate Phellinus linteus for the k-th region Phellinus linteus.

[0071] According to the method for obtaining the candidate Phellinus linteus of the kth region, the candidate Phellinus linteus of the various regions is obtained.

[0072] (3) Obtain the confidence level of the application value score.

[0073] Preferably, the method for obtaining the confidence of the application value score is: for any candidate mulberry yellow of the effective mulberry yellow, according to the matching value between the effective mulberry yellow and the candidate mulberry yellow, and the application value score of each germplasm resource associated with the candidate mulberry yellow, obtain the first germplasm value of the effective mulberry yellow and the candidate mulberry yellow; when the first germplasm value is greater, the application value score of the germplasm resource associated with the candidate mulberry yellow is lower, the candidate mulberry yellow is more likely to be of low quality, indirectly indicating that the effective mulberry yellow is more likely to be of low quality, the less the extent to which the effective mulberry yellow is maliciously promoted, and the more accurate the application value score corresponding to the effective mulberry yellow is.

[0074] Low-quality Phellinus igniarius is less affected by popularity, and the cumulative record of the first germplasm value of effective Phellinus igniarius and its candidate Phellinus igniarius in each region is set as the reliable candidate value of effective Phellinus igniarius. The larger the reliable candidate value, the lower the quality of effective Phellinus igniarius, the less likely it is to be maliciously promoted, and the more accurate the application value score corresponding to effective Phellinus igniarius. In order to accurately obtain the accuracy of the application value score associated with effective Phellinus igniarius for each germplasm resource, the negatively correlated and standardized records of the application value score anomalies of each germplasm resource are further set as the reliable adjustment value of the corresponding germplasm resource. The larger the reliable adjustment value, the smaller the application value score anomaly of the corresponding germplasm resource, and the more accurate the application value score of the corresponding germplasm resource. Therefore, the product of the reliable adjustment value of each germplasm resource and the reliable candidate value of effective Phellinus igniarius is set as the confidence level of the application value score associated with the corresponding germplasm resource. The greater the confidence level of the application value score, the more accurate the application value score associated with the corresponding germplasm resource.

[0075] As an example, taking the i-th germplasm resource and the j-th region Phellinus linteus as an example, the j-th region Phellinus linteus is the effective Phellinus linteus. The specific method for obtaining the confidence score of the application value of the i-th germplasm resource associated with the j-th region Phellinus linteus is as follows:

[0076] (3-1) Obtain the first quality value.

[0077] Taking the candidate Phellinus lintei of region v in region j as an example, the calculation formula for obtaining the first germplasm value of Phellinus lintei of region j and its candidate Phellinus lintei of region v is:

[0078]

[0079] Where, δ j，v S is the first germplasm value of Phellinus lintei in region j and its candidate Phellinus lintei in region v; j，v is the matching value of Phellinus lintei in region j and its candidate Phellinus lintei in region v; M is the number of germplasm resources; is the application value score of the candidate Phellinus lintei in the vth region associated with the mth germplasm resource; α is the first preset constant, which is greater than 0.

[0080] In the embodiment of the present invention, α is set to 1 to avoid the denominator being 0. The implementer can set the size of α according to the actual situation, which is not limited here.

[0081] It should be noted that S j，v The bigger, The more accurate, The smaller the value is, the less suitable the candidate Phellinus lintei in region v of the mth germplasm resource is for the jth region Phellinus lintei, and it is indirectly inferred that the candidate Phellinus lintei in region j is also unsuitable. The bigger; when The larger the value, the more polygenic resources are associated with the j-th region, the less suitable the mulberry yellow is, the lower the quality of the mulberry yellow is, and the more accurate the application value score of the mulberry yellow in the j-th region is. j，v The larger the value, the greater the j，v The larger the value, the more accurate the application value score of Coriolus versicolor in region j is.

[0082] According to the method for obtaining the first germplasm value of Phellinus igniarius in the jth region and its candidate Phellinus igniarius in the vth region, the first germplasm value of Phellinus igniarius in the jth region and its candidate Phellinus igniarius in each region is obtained.

[0083] (3-2) Obtain the confidence level of the application value score.

[0084] The calculation formula for obtaining the confidence score of the application value of Phellinus igniarius associated with the i-th germplasm resource in the j-th region is:

[0085]

[0086] Where B i，j L is the confidence score of the application value of Phellinus igniarius associated with the i-th germplasm resource in the j-th region; i is the application value score abnormal value of the i-th germplasm resource; Y j，w is the first germplasm value of Phellinus lintei in the jth region and its wth candidate Phellinus lintei; W is the number of candidate Phellinus lintei in the jth region, which is set to 10 in the embodiment of the present invention; norm(-L i ) is the reliable adjustment value of the i-th germplasm resource; is the reliable candidate value of Phellinus igniarius in the jth region.

[0087] It should be noted that L i The smaller the value, the more accurate the application value score of the i-th germplasm resource associated with Phellinus igniarius. The reliable adjustment value norm(-L i ) is larger, B i，j The larger the Y j，w The larger the value, the lower the quality of the mulberry yellow in the jth region, and the more accurate the corresponding application value score is. The bigger the B i，j The larger the i，jThe larger the value is, the more accurate the application value score of Coriolus versicolor associated with the i-th germplasm resource in the j-th region is.

[0088] According to the method for obtaining the confidence level of the application value score of Phellinus igniarius associated with the i-th germplasm resource in the j-th region, the confidence level of the application value score of Phellinus igniarius associated with each germplasm resource in each region is obtained.

[0089] Step S4: The application value score confidence level is associated with the application value score for adjustment, and the adjusted application value score confidence level of each germplasm resource associated with effective Coriolus linteus is obtained.

[0090] Specifically, adjustments are made based on the picking frequency of valid Coriolus versicolor associated with each germplasm resource, the difference between the picking time points of the first and last picking of valid Coriolus versicolor for each germplasm resource, the fluctuation state of the difference between the picking time points of two adjacent pickings of valid Coriolus versicolor for each germplasm resource, and the difference between the picking time point of the last picking of valid Coriolus versicolor for each germplasm resource and the current time point; the application value score of each germplasm resource associated with picked Coriolus versicolor will degrade to a certain extent over time, and the latent semantic model does not take into account the temporal characteristics of the application value score of Coriolus versicolor associated with germplasm resources. Therefore, in order to make accurate adjustments to the protection strategy information of the associated germplasm resources more accurately, the adjustment coefficient of the confidence of the application value score of Coriolus versicolor associated with each germplasm resource in each region is obtained based on the difference between the picking time point of the most recent picking of Coriolus versicolor associated with each germplasm resource and the current time point. At the same time, taking into account the different picking status of Coriolus versicolor associated with each germplasm resource in each region, in order to avoid the situation where the confidence level of the application value score is adjusted too low as time goes by, it is necessary to analyze the picking status of Coriolus versicolor associated with each germplasm resource in each region, and further adjust the adjustment coefficient of the confidence level of the application value score of Coriolus versicolor associated with each germplasm resource in each region.Therefore, the embodiment of the present invention obtains the picking frequency of each germplasm resource associated with each region of mulberry yellow and the picking time point of each germplasm resource picking each region of mulberry yellow each time, and sets the absolute value of the difference between the picking time points of the first and last picking of a certain mulberry yellow of a certain germplasm resource as the first time point distinction value. When the first time point distinction value is larger, it indicates that the total period of picking of the germplasm resource associated with the mulberry yellow may be larger, the germplasm resource associated with the mulberry yellow is more likely to be suitable, and the adjustment coefficient of the confidence degree of the application value score of the germplasm resource associated with the mulberry yellow should be smaller. In order to avoid the situation where the actual picking frequency of the germplasm resource associated with the mulberry yellow is very small, but the time interval between the first and last picking of the germplasm resource is long, and the germplasm resource is mistakenly believed to be suitable for being associated with the mulberry yellow, the picking frequency of the germplasm resource associated with the mulberry yellow is further analyzed. When the picking frequency of the germplasm resource associated with the mulberry yellow is larger, it can more accurately indicate that the germplasm resource associated with the mulberry yellow is more suitable. The smaller the adjustment coefficient of the confidence level of the application value score of the germplasm resource associated with this kind of Coriolus versicolor should be; obtain the absolute value of the difference between the two adjacent picking time points of the germplasm resource picking this kind of Coriolus versicolor, and set it as the distinction value at the second time point. When the fluctuation of the distinction value at the second time point is smaller, it means that the picking frequency of the germplasm resource associated with this kind of Coriolus versicolor is more stable, and the smaller the adjustment coefficient of the confidence level of the application value score of the germplasm resource associated with this kind of Coriolus versicolor should be. Therefore, obtain the standard deviation of the distinction value at the second time point. When the standard deviation of the distinction value at the second time point is smaller, the smaller the adjustment coefficient of the confidence level of the application value score of the germplasm resource associated with this kind of Coriolus versicolor should be; therefore, according to the distinction value at the first time point, the picking frequency of the germplasm resource associated with this kind of Coriolus versicolor and the distinction value at the second time point, the adjustment coefficient of the confidence level of the application value score of the germplasm resource associated with this kind of Coriolus versicolor is modified to obtain the modified adjustment coefficient, and the confidence level of the application value score of the germplasm resource associated with this kind of Coriolus versicolor is accurately adjusted according to the modified adjustment coefficient. Therefore, according to the picking frequency of effective Coriolus versicolor associated with each germplasm resource, the difference between the picking time points of the first and last picking of effective Coriolus versicolor for each germplasm resource, the fluctuation state of the difference between the picking time points of two adjacent pickings of effective Coriolus versicolor for each germplasm resource, and the difference between the picking time point of the last picking of effective Coriolus versicolor for each germplasm resource and the current time point, the confidence of the associated application value score is adjusted to obtain the adjusted confidence of the application value score of the effective Coriolus versicolor associated with each germplasm resource.

[0091] As an example, take the i-th germplasm resource and the j-th region Phellinus linteus in step S3 as an example, the j-th region Phellinus linteus is the effective Phellinus linteus. The picking frequency e of the i-th germplasm resource associated with the j-th region Phellinus linteus is determined by big data. i，j , and the picking time of each picking of Phellinus igniarius in the jth region associated with the i-th germplasm resource, where the current time point is t nowThe most recent harvest time of Phellinus igniarius in the jth region associated with the i-th germplasm resource is when The larger the With t now The greater the difference in time sequence, the less accurate the confidence level of the application value score of the i-th germplasm resource associated with the j-th region Phellinus igniarius at the current time point, and the greater the adjustment degree of the confidence level of the application value score of the i-th germplasm resource associated with the j-th region Phellinus igniarius should be. Therefore, the embodiment of the present invention is achieved by Get the adjustment coefficient of the confidence level of the application value score of Phellinus igniarius associated with the i-th germplasm resource in the j-th region. However, in actual conditions, the picking status of Phellinus igniarius associated with the i-th germplasm resource in the j-th region may have certain rules. When the picking frequency of Phellinus igniarius associated with the i-th germplasm resource in the j-th region is higher and the picking cycle is longer, The smaller it should be, the more confidence the score of the application value of the i-th germplasm resource associated with the j-th region Phellinus igniarius will not be too small over time. Therefore, the absolute value of the difference between the first and last picking time points of the i-th germplasm resource and the j-th region Phellinus igniarius is obtained, that is, Set as the difference value at the first time point. is the eth germplasm resource of the i-th i，j The picking time point of Phellinus igniarius in the jth area; is the picking time point of the first picking of Phellinus igniarius in the jth region for the i-th germplasm resource; when the difference value of the first time point is larger, the picking frequency e of Phellinus igniarius associated with the i-th germplasm resource in the jth region is higher. i，j When the value is larger, it means that the total period of picking mulberry yellow associated with the i-th germplasm resource in the j-th region is longer, and the i-th germplasm resource is more suitable for picking mulberry yellow associated with the j-th region; the absolute value of the difference between the two adjacent picking time points of picking mulberry yellow in the j-th region of the i-th germplasm resource is obtained, which is the second time point distinction value. When the standard deviation of the second time point distinction value is smaller, it means that the picking frequency of mulberry yellow associated with the i-th germplasm resource in the j-th region is more stable. The first time point distinction value, the second time point distinction value and e i，j , associated Adjustments are made to accurately obtain the confidence level of the adjusted application value score of the i-th germplasm resource associated with the j-th region Phellinus igniarius. The calculation formula for obtaining the confidence level of the adjusted application value score of the i-th germplasm resource associated with the j-th region Phellinus igniarius is:

[0092]

[0093] Where B′ i，j is the confidence score of the adjusted application value of Phellinus igniarius associated with the i-th germplasm resource in the j-th region; σ i，j is the standard deviation of the absolute value of the difference between the two adjacent picking time points of Phellinus linteus in the jth region of the i-th germplasm resource; ei，j The picking frequency of Phellinus igniarius in the jth region is associated with the i-th germplasm resource; The first and e-th i，j The difference value of the picking time point of Phellinus linteus in the jth area; is the eth germplasm resource of the i-th i，j The picking time point of Phellinus igniarius in the jth area; is the time point of picking the first time of Phellinus igniarius in the jth region of the i-th germplasm resource; Δt′ i，j is the eth germplasm resource of the i-th i，j The difference between the picking time of Phellinus igniarius in the jth area and the current time point; t now is the current time point; B i，j is the confidence score of the application value of Coriolus igniarius in the jth region associated with the i-th germplasm resource; ω is the second preset constant, which is greater than 0.

[0094] In the embodiment of the present invention, ω is set to 1 to prevent the numerator and denominator from being 0. The implementer can set the size of ω according to the actual state, which is not limited here.

[0095] It should be noted that σ i，j The smaller the value, the more stable the picking frequency of Phellinus igniarius associated with the i-th germplasm resource in the j-th region is. i，j The bigger, The larger the value is, the longer the picking period of Phellinus igniarius associated with the i-th germplasm resource in the j-th region is, and the more suitable the i-th germplasm resource is for Phellinus igniarius in the j-th region. The smaller the correlation Δt′ i，j The smaller the adjustment, The larger the correlation B i，j The smaller the adjustment degree of B′ i，j The larger the value, the greater the value; therefore, B′ i，j The larger the value is, the more stable the application value score of Coriolus versicolor associated with the i-th germplasm resource in the j-th region is.

[0096] According to the method for obtaining the confidence level of the adjusted application value score of Phellinus igniarius associated with the i-th germplasm resource in the j-th region, the confidence level of the adjusted application value score of Phellinus igniarius associated with each germplasm resource in each region is obtained.

[0097] Step S5: According to the confidence level of the adjusted application value score of Coriolus igniarius in each region associated with each germplasm resource, the cost function of the latent semantic model is adjusted to obtain the predicted application value matrix, and the protection strategy information of each germplasm resource is associated to make adjustments.

[0098] Specifically, the application value score of each germplasm resource associated with each region of Phellinus igniarius is set as an element to construct a first application value matrix; wherein, a row of the first application value matrix corresponds to a germplasm resource, and a column corresponds to a Phellinus igniarius strain; the elements in the first application value matrix that are greater than the third preset constant are set as valid elements. In the embodiment of the present invention, the third preset constant is set to 0, that is, only the Phellinus igniarius picked from each germplasm resource is associated for analysis. The cost function E=Σ (x，y)∈K (f x，y -p x T q y ) 2 , where E is the cost function; K is the coordinate set of the effective elements in the first application value matrix; f x，y is the application value score of the xth germplasm resource associated with the yth species of Phellinus igniarius; p x T is the transposed vector of the potential indicator vector corresponding to the x-th germplasm resource; q y is the potential indicator vector corresponding to the yth Phellinus igniarius. According to the coordinates of the effective elements in the first application value matrix, the confidence level of the adjusted application value score corresponding to each effective element is determined; according to the confidence level of the adjusted application value score corresponding to each effective element, the cost function E of the latent semantic model is associated with ∑ (x，y)∈K (f x，y -p x T q y ) 2 Make adjustments and obtain the adjustment cost function; according to the adjustment cost function, obtain the germplasm resource potential indicator matrix and the Coriolus linteus potential indicator matrix, and construct the prediction application value matrix.

[0099] So far, the present invention is completed.

[0100] In summary, the embodiment of the present invention obtains the picking cycle of germplasm resources associated with Phellinus igniarius, determines the application value score of germplasm resources associated with Phellinus igniarius; according to the application value score status of the common picking of Phellinus igniarius between the germplasm resources, obtains the application value score outlier; according to the difference between the same strain characteristic information of Phellinus igniarius and other Phellinus igniarius, obtains the matching value, according to the application value score outlier, the matching value and the application value score of the germplasm resources associated with Phellinus igniarius, obtains the application value score confidence; according to the picking state of the germplasm resources associated with Phellinus igniarius, the application value score confidence is adjusted, the adjustment application value score confidence is obtained, the cost function of the associated latent semantic model is adjusted, the predicted application value matrix is ​​obtained, and the protection strategy information of the associated germplasm resources is adjusted. The present invention obtains the adjusted application value score confidence of Phellinus igniarius in each region by adaptively obtaining each germplasm resource association, and then accurately obtains the predicted application value score of Phellinus igniarius in each region for each germplasm resource association, and accurately adjusts the protection strategy information of each germplasm resource association.

[0101] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is merely a logical function division. 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 mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0102] In addition, the functional units in the various embodiments of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software functional units. The above is only an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

[0103] The above detailed description of the specific embodiments of the related invention is intended to be illustrative only, and the present invention is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions related to the invention are also within the scope of the present invention. Therefore, equivalent changes, modifications, and improvements made without departing from the spirit and scope of the present invention are also encompassed within the scope of the present invention.

Claims

1. A method for protecting and developing phellinus igniarius germplasm resources, characterized in that: The method comprises the following steps: Obtaining a preset number of germplasm resources associated with the picking cycle and picking frequency of Phellinus igniarius in each region, as well as regional characteristic information of Phellinus igniarius in each region; setting the first time point of each picking of Phellinus igniarius in each region associated with each germplasm resource as the picking time point; According to the picking cycle, the application value score of each germplasm resource associated with each region of Phellinus igniarius was obtained; according to the matching status of the application value score of each germplasm resource associated with each other germplasm resource, the number of strains of the jointly picked Phellinus igniarius, and the difference in the application value score of the jointly picked Phellinus igniarius, the application value score outlier of each germplasm resource was obtained; Any type of Phellinus linteus is set as valid Phellinus linteus, and according to the difference between the same strain characteristic information between valid Phellinus linteus and Phellinus linteus in other regions, the matching value between valid Phellinus linteus and Phellinus linteus in other regions is obtained, and the candidate Phellinus linteus of valid Phellinus linteus is screened out; according to the application value score abnormal value of each germplasm resource, the matching value between valid Phellinus linteus and candidate Phellinus linteus in each region, and the application value score of each germplasm resource associated with the candidate Phellinus linteus in each region, the confidence level of the application value score of each germplasm resource associated with valid Phellinus linteus is obtained; The confidence level of the application value score is adjusted based on the association, and the confidence level of the adjusted application value score of each germplasm resource associated with effective Phellinus igniarius is obtained; According to the confidence level of the adjusted application value score of Coriolus igniarius in each region associated with each germplasm resource, the cost function of the latent semantic model is adjusted to obtain the predicted application value matrix, and the protection strategy information of each germplasm resource is associated to make adjustments.

2. The method for protecting and developing the germplasm resources of Phellinus igniarius according to claim 1, wherein: The method for obtaining the application value score is: The harvesting period of Coriolus versicolor in each region associated with each germplasm resource is recorded in a standardized manner, and the application value score of Coriolus versicolor in each region associated with each germplasm resource is set.

3. The method for protecting and developing the germplasm resources of Phellinus igniarius according to claim 1, characterized in that: The method for obtaining the application value score abnormal value is: The Phellinus igniarius that were picked from both germplasm resources a and b are set as the tested Phellinus igniarius; The application value scores of Phellinus igniarius detected in each region are associated with the a-th germplasm resource and set as the first region status information; The b-th germplasm resource is associated with the application value score of Phellinus igniarius detected in each region and set as the second region status information; Obtain the correlation between the first region status information and the second region status information, and set it as the value difference score (correlation) between the a-th germplasm resource and the b-th germplasm resource; Obtain the value difference scores (correlations) between the ath germplasm resource and each other germplasm resource, and set the other germplasm resources corresponding to the value difference scores (correlations) greater than the preset value difference score (correlation) threshold as candidate germplasm resources for the ath germplasm resource; For any candidate germplasm resource of the a-th germplasm resource, obtain the first development value between the a-th germplasm resource and the candidate germplasm resource based on the value difference score (correlation) between the a-th germplasm resource and the candidate germplasm resource, the number of regions where strains of Phellinus linteus were detected, and the difference in application value scores of Phellinus linteus detection in each region associated with the a-th germplasm resource and the candidate germplasm resource; The cumulative record of the first development value between the a-th germplasm resource and each candidate germplasm resource is set as the application value score outlier of the a-th germplasm resource.

4. The method for protecting and developing the germplasm resources of Phellinus igniarius according to claim 1, wherein: The method of obtaining the matching value between the effective Phellinus linteus and the Phellinus linteus from other regions based on the characteristic information difference between the same strains of Phellinus linteus from other regions, and screening out the candidate Phellinus linteus from the effective Phellinus linteus is as follows: For any characteristic information of Phellinus linteus, the negatively correlated and standardized record of the difference between the characteristic information of Phellinus linteus in the kth region and the characteristic information of Phellinus linteus in the gth region is set as the matching record of the characteristic information between the characteristic information of Phellinus linteus in the kth region and the characteristic information of Phellinus linteus in the gth region; Obtain the average of all matching records of characteristic information between the Phellinus linteus in the kth region and the Phellinus linteus in the gth region, and set it as the matching degree value between the Phellinus linteus in the kth region and the Phellinus linteus in the gth region; Obtaining the matching value of Phellinus linteus in the kth region and Phellinus linteus in other regions, arranging the matching values ​​of Phellinus linteus in the kth region and Phellinus linteus in other regions from large to small, and obtaining a matching value result; Setting the first preset number of matching values ​​in the matching value results as valid matching values; Other Phellinus igniarius other than the Phellinus igniarius in the k-th region corresponding to each valid matching value are set as candidate Phellinus igniarius of the Phellinus igniarius in the k-th region.

5. The method for protecting and developing the germplasm resources of Phellinus igniarius according to claim 1, wherein: The method for obtaining the confidence level of the application value score is as follows: For any candidate Phellinus linteus of the effective Phellinus linteus, according to the matching value between the effective Phellinus linteus and the candidate Phellinus linteus, and the application value score of each germplasm resource associated with the candidate Phellinus linteus, the first germplasm value of the effective Phellinus linteus and the candidate Phellinus linteus is obtained; The cumulative record of the first germplasm value of effective Phellinus linteus and its candidate Phellinus linteus in each region is set as the reliable candidate value of effective Phellinus linteus; The records with negative correlation and normalization of outliers in the application value scores of each germplasm resource were set as the reliable adjustment values ​​of the corresponding germplasm resource; The product of the reliable adjustment value of each germplasm resource and the reliable candidate value of effective Coriolus versicolor is set as the confidence score of the application value of the corresponding germplasm resource associated with effective Coriolus versicolor.

6. The method for protecting and developing the germplasm resources of Phellinus igniarius according to claim 2, wherein: The method for obtaining the predicted application value matrix is ​​as follows: The application value score of Phellinus igniarius in each region associated with each germplasm resource is set as an element to construct a first application value matrix; wherein, a row of the first application value matrix corresponds to a germplasm resource, and a column corresponds to a Phellinus igniarius strain; Setting the elements in the first application value matrix that are greater than a third preset constant as valid elements, and determining the confidence level of the adjusted application value score corresponding to each valid element according to the coordinates of the valid elements in the first application value matrix; Adjust the cost function of the latent semantic model associated with the adjusted application value score confidence corresponding to each valid element to obtain an adjusted cost function; According to the adjusted cost function, the potential indicator matrix of germplasm resources and the potential indicator matrix of Coriolus igniarius were obtained, and the prediction application value matrix was constructed.

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