A method for analyzing a natural enemy of monochamus alternatus, a terminal and a storage medium

Abstract

The present application provides a kind of analysis method of enemy of monochamus alternatus, terminal and storage medium, it is related to biological statistics analysis technical field, method includes: preset N test points, adult stage monochamus alternatus lays eggs in test point;Mark egg stage monochamus alternatus, obtain a generation monochamus alternatus cluster;Monitoring a generation monochamus alternatus cluster, obtain first feature data set;Through first feature data set, determine the population control factor set of each insect stage, feed corresponding species of natural enemy;Select n test points, mark monochamus alternatus of any insect stage, obtain two generation monochamus alternatus cluster;Obtain the insect stage and population control factor set;Each age of the same kind of natural enemy is respectively put into n test points;Monitoring two generation monochamus alternatus cluster, obtain second feature data set;Through second feature data set, determine the influence weight of the type of natural enemy put in when each age to monochamus alternatus.The influence degree of natural enemy age on each insect stage of monochamus alternatus is quantified to improve the control effect when natural enemy is put.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of biostatistics analysis, in particular to a method for analyzing natural enemies of Monochamus alternatus, a terminal and a storage medium. BACKGROUND

[0002] In the process of preventing and controlling Monochamus alternatus, releasing natural enemies as a biological control method has been widely used and proven to have certain effect. However, the natural enemies released in the prior art are mostly adult insects, and this approach has some limitations:

[0003] Firstly, adult natural enemies may not achieve the best control effect. The characteristics of adult natural enemies such as foraging ability, activity range and reproduction speed may not fully adapt to the biological characteristics and occurrence regularity of Monochamus alternatus, so in some cases, releasing adult natural enemies may not effectively control the population number of Monochamus alternatus, and even may result in waste of natural enemy resources;

[0004] Secondly, compared with adult natural enemies, some natural enemies at other stages may have better control effect on Monochamus alternatus; for example, natural enemies at the larval stage may have higher foraging efficiency and stronger adaptability, and can better cope with the damage of Monochamus alternatus. SUMMARY

[0005] The purpose of the present application is to provide a method for analyzing natural enemies of Monochamus alternatus, a terminal and a storage medium, and to solve the technical problem of how to determine the influence degree of natural enemy stages on each stage of Monochamus alternatus, so as to improve the control effect when releasing natural enemies.

[0006] The present application is realized by the following technical scheme:

[0007] The first aspect provides a method for analyzing natural enemies of Monochamus alternatus, comprising the following steps:

[0008] S100, preset N test points, and a trap is arranged at each of the N test points, Monochamus alternatus at the adult stage is trapped by the trap, and the Monochamus alternatus at the adult stage lays eggs at the test points;

[0009] S200, in a time period T1, each Monochamus alternatus at the egg stage at each test point is marked and numbered to obtain a first generation of Monochamus alternatus cluster;

[0010] The vital signs and death factors of each Monochamus alternatus in the first generation of Monochamus alternatus cluster at each stage are monitored to obtain a first feature data set; each feature data in the first feature data set is composed of the vital signs and death factors of one Monochamus alternatus at any stage, and the death factor is the species of natural enemy causing the death of the Monochamus alternatus;

[0011] S300, determine the population control factor set of each instar of the Monochamus alternatus by the N first characteristic data sets, wherein the population control factor in the population control factor set is a natural enemy species that controls the population quantity development trend; based on the population control factor set, the corresponding natural enemy species is bred;

[0012] S400, select n test points, and mark the Monochamus alternatus in any instar at each test point in a time period T2 to obtain a second generation Monochamus alternatus cluster;

[0013] S500, obtain the instar of the Monochamus alternatus marked in the time period T2 and the population control factor set of the instar, extract morphological data from the population control factor set to obtain a morphological reference data set;

[0014] obtain morphological data of the bred natural enemies to obtain a morphological actual data set; determine the natural enemy species and the natural enemy instar by the morphological reference data set and the morphological actual data set; and release the same natural enemies in each instar to the n test points respectively;

[0015] S600, monitor the vital signs and death factors of the Monochamus alternatus in the second generation Monochamus alternatus cluster to obtain a second characteristic data set; the second characteristic data in the second characteristic data set is composed of the vital signs and death factors of one Monochamus alternatus in the instar when the Monochamus alternatus is marked in the time period T2;

[0016] S700, determine the influence weight of the released natural enemy species on the Monochamus alternatus in each instar by the n second characteristic data sets.

[0017] By setting traps at predetermined test points and trapping Monochamus alternatus in the adult stage, the life course (vital signs and death factors in the egg stage, larval stage, pupal stage, and adult stage) of the Monochamus alternatus laid by the Monochamus alternatus is observed and recorded, and each Monochamus alternatus is marked and numbered in the egg stage to facilitate tracking of the life course of each Monochamus alternatus. By analyzing the life course of each Monochamus alternatus, the population control factor set of each instar of the Monochamus alternatus is determined, that is, the natural enemy species that can significantly affect the population quantity development trend of the Monochamus alternatus. Subsequently, the corresponding natural enemy species is bred according to the population control factor, which prepares for the subsequent release experiment. In the release experiment, each time only one instar is targeted, and the Monochamus alternatus in the instar at the release time period is marked to facilitate tracking of the life course of each marked Monochamus alternatus in the instar. Different instar natural enemies are released to each test point to observe the influence of different instar natural enemies on the Monochamus alternatus, and the influence weight of the released natural enemy species on the Monochamus alternatus in each instar is obtained. According to the analysis results of the influence weight, the release species, instar, and quantity of the natural enemies can be adjusted to improve the control effect and reduce the cost. The quantitative analysis provides a scientific basis for optimizing the release strategy of the natural enemies.

[0018] Furthermore, using the aforementioned first feature dataset, the population control factor set for each stage of the pine sawyer beetle is determined. Specific steps include:

[0019] S310. Obtain the number of egg-stage pine sawyer longhorn beetles from the above-mentioned first-generation pine sawyer longhorn beetle cluster to obtain the first-generation experimental quantity;

[0020] The vital signs corresponding to the egg stage, larval stage, pupal stage and adult stage of the pine sawyer beetle are obtained from the first feature dataset mentioned above. The death of the pine sawyer beetle is determined by the vital signs. If the pine sawyer beetle is dead, the mortality factor is obtained and the mortality amount corresponding to the mortality factor of that stage is increased by 1.

[0021] The mortality rates corresponding to each mortality factor during the egg, larval, pupal, and adult stages of the pine sawyer beetle were statistically analyzed.

[0022] S320. Based on the above-mentioned first-generation experimental quantity and the mortality quantity corresponding to each mortality factor in the egg stage, larval stage, pupal stage and adult stage, calculate the mortality rate corresponding to each mortality factor in the egg stage, larval stage and adult stage.

[0023] S330. Obtain the mortality rates corresponding to each mortality factor at the egg stage, larval stage, pupal stage, and adult stage at N test sites mentioned above, and calculate the average mortality rate corresponding to each mortality factor at the egg stage, larval stage, pupal stage, and adult stage.

[0024] S340. Using the following formula, calculate the control index of each mortality factor in the egg stage, larval stage, pupal stage and adult stage.

[0025] ,

[0026] in, Indicates the insect stage as At that time, the first Control index for each mortality factor; Indicates the insect stage as At that time, the first The average mortality rate for each mortality factor;

[0027] S350: Call the control threshold and compare the above control index with the control threshold;

[0028] If the above control index is equal to or greater than the control threshold, then the mortality factor corresponding to the control index is classified as the insect stage. Population control factors;

[0029] If the above control index is less than the control threshold, the mortality factor corresponding to the control index will be classified as the insect stage. Non-population control factors.

[0030] For each insect stage, the number of deaths corresponding to each death factor of each test point is counted respectively. Based on the experimental amount of one generation and the number of deaths corresponding to each death factor of each insect stage, the mortality rate of each death factor of each insect stage is calculated. The average mortality rate of each death factor of each insect stage is calculated by summarizing the mortality rate of each death factor of each insect stage of N test points, which helps to eliminate the data deviation of a single test point and improve the accuracy of analysis. The control index of each death factor of each insect stage is calculated by using the formula, which converts the average mortality rate into a relative quantitative index, facilitating the comparison of the population control ability of different death factors on each insect stage of the montezuma orsta. By setting the control threshold, the death factors are classified to obtain the population control factor and the non-population control factor. The population control factor has a stronger population control ability on the specified insect stage of the montezuma orsta. Based on the identification of the population control factor, it can be determined which natural enemy species has the best control effect on the specified insect stage of the montezuma orsta, providing a scientific basis for the subsequent feeding and release of natural enemies.

[0031] Further, before releasing the same natural enemies of different ages to the n test points, the population control factors of different insect stages are sorted according to the control index to obtain a population control factor sequence. The release order of the natural enemy species corresponding to the insect stage is determined through the population control factor sequence.

[0032] From the experimental aspect, the feeding and release of natural enemies require certain resources and costs. By determining the release order of the natural enemy species, the natural enemy with the most significant population control effect on the montezuma orsta can be released first to avoid the problem that insufficient funds lead to the inability to carry out subsequent release experiments. From the practical application aspect, the population control factor sequence obtained by sorting can clearly show which natural enemy species has a stronger control ability on each insect stage of the montezuma orsta, which helps to develop more accurate natural enemy release strategies and prioritize the release of natural enemy species with the best control effect, thereby improving the prevention and control efficiency. The release of multiple natural enemy species helps to maintain ecological balance, avoid excessive pressure on the natural enemy population, reduce the impact on other biological populations, and thus enhance the sustainability of the prevention and control effect.

[0033] Further, according to the population control factor sequence of each insect stage, the number of selected test points is adjusted, and the specific steps are as follows:

[0034] The number of natural enemy species and the number of ages of each natural enemy species in the population control factor to be released are extracted from the population control factor sequence.

[0035] The number of selected test points is calculated by the following formula:

[0036] ,

[0037] wherein, represents the insect stage the number of test points selected when the first population control factor is released; represents the number of age stages of the natural enemy species; represents the insect stage , the number of natural enemy species of the first population control factor.

[0038] By calculating the number of test points, waste of resources and over-provisioning are avoided, and each test point can fully play its role to provide valuable data for prevention and control work. Reasonable number of test points ensures the comprehensiveness and accuracy of experimental variables.

[0039] Further, the same natural enemy of each age stage is released to the n test points, and the specific steps are as follows:

[0040] Extract the number of natural enemy species in the population control factor to be released and the number of age stages of each natural enemy species;

[0041] Take the age stages of the same natural enemy species in the population control factor as an element set, and obtain an element set group;

[0042] Select an age stage from each element set in the element set group to determine the natural enemy age stage combination set to be released;

[0043] Release the natural enemy age stage combination in the natural enemy age stage combination set to be released to each test point.

[0044] According to the single variable principle of the experiment, only one natural enemy age stage is changed to perform the release test, which ensures the comprehensiveness of the experimental variables.

[0045] Further, the influence weight of the released natural enemy species on the Monochamus alternatus at each age stage is determined through the second feature data set, and the specific steps are as follows:

[0046] S710, obtain the number of marked Monochamus alternatus from the second generation Monochamus alternatus set, and obtain the second generation experimental quantity;

[0047] Obtain the vital signs of Monochamus alternatus from the second feature data set, and determine whether Monochamus alternatus is dead through the vital signs; if Monochamus alternatus is dead, obtain the death factor of Monochamus alternatus, and determine whether the death factor is the released natural enemy species; if yes, the death quantity corresponding to the natural enemy age stage is added by 1;

[0048] Statistical the death quantity of the above Monochamus alternatus corresponding to the natural enemy age stage, and obtain the second generation death quantity;

[0049] S720, calculate the mortality of the released natural enemy species on the Monochamus alternatus at the second instar stage by the second instar quantity and the second instar death quantity, and obtain the second instar mortality;

[0050] S730, obtain the second instar mortality of the Monochamus alternatus at the n test points, and calculate the influence weight of the released natural enemy species on the Monochamus alternatus at each instar stage by the following formula;

[0051] ,

[0052] wherein, represents the influence weight of the released natural enemy species on the Monochamus alternatus at the first natural enemy instar stage when the insect stage is ; represents the influence weight of the released natural enemy species on the Monochamus alternatus at the first natural enemy instar stage when the insect stage is ; represents the mortality of the released natural enemy species on the Monochamus alternatus at the first natural enemy instar stage when the insect stage is ; represents the mortality of the released natural enemy species on the Monochamus alternatus at the first natural enemy instar stage when the insect stage is . represents the mortality of the released natural enemy species on the Monochamus alternatus at the first natural enemy instar stage when the insect stage is . represents the mortality of the released natural enemy species on the Monochamus alternatus at the first natural enemy instar stage when the insect stage is .

[0053] The second aspect provides a terminal, comprising:

[0054] a processor for storing a memory of processor-executable instructions;

[0055] wherein the processor is configured to call the instructions stored in the memory to execute any one of the analysis methods.

[0056] The third aspect provides a computer-readable storage medium having computer program instructions stored thereon, and the computer program instructions are executed by a processor to implement any one of the analysis methods.

[0057] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0058] By setting traps at preset test points and trapping the monochamus alternatus in the adult stage, the life history (life signs and death factors in the egg stage, larva stage, pupa stage and adult stage) of the monochamus alternatus laid by the monochamus alternatus is observed and recorded, the monochamus alternatus in the egg stage is marked for facilitating tracking of the life history of each monochamus alternatus; by analyzing the life history of each monochamus alternatus, the population control factor set of each insect stage of the monochamus alternatus, i.e., the natural enemy species capable of significantly affecting the population quantity development trend of the monochamus alternatus, is determined; subsequently, according to the population control factor, the corresponding natural enemy species is bred, and preparation is made for subsequent release experiments; in the release experiment, each time, only the monochamus alternatus in a certain insect stage is marked, so as to facilitate tracking of the life history of each marked monochamus alternatus in the insect stage; different age stages of the natural enemy are released to the test points, so as to observe the influence of the natural enemy in different age stages on the monochamus alternatus, obtain the influence weight of the released natural enemy species on the monochamus alternatus in each age stage, and according to the analysis result of the influence weight, the release species, age stage and quantity of the natural enemy can be adjusted, so as to improve the prevention and treatment effect and reduce the cost; the quantitative analysis provides a scientific basis for optimizing the release strategy of the natural enemy. BRIEF DESCRIPTION OF DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the example embodiments of the present application, the following will briefly introduce the drawings needed to be used in the examples. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor. In the drawings:

[0060] Figure 1 The main flow chart for the natural enemy analysis method. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical solutions and advantages of the present application more clear, the following will further explain the present application with examples and drawings. The example embodiments of the present application and their explanations are only used to explain the present application, and should not be regarded as a limitation on the present application.

[0062] First example:

[0063] In combination Figure 1 A natural enemy analysis method of monochamus alternatus, comprising the following steps:

[0064] S100, preset N test points, traps are set at the N test points, the monochamus alternatus in the adult stage is trapped by the traps, and the monochamus alternatus in the adult stage lays eggs at the test points;

[0065] S200, in a time period T1, the monochamus alternatus in the egg stage at each test point is marked for numbering, and a first generation of monochamus alternatus cluster is obtained;

[0066] The vital signs and death factors of each pine brown longhorn beetle in each instar in the first generation of pine brown longhorn beetle colony are monitored to obtain a first feature data set; each first feature data in the first feature data set is composed of the vital signs and death factors of one pine brown longhorn beetle in any instar, wherein the death factor is the natural enemy species that causes the death of the pine brown longhorn beetle;

[0067] S300, determine a population control factor set of the pine brown longhorn beetle in each instar through N first feature data sets, wherein each population control factor in the population control factor set is a natural enemy species that controls the population quantity development trend; based on the population control factor set, the natural enemies of the corresponding species are bred, and the natural enemies are specifically bred and released by identifying the population control factors, so as to improve the prevention and control effect on the pine brown longhorn beetle in each instar;

[0068] S400, select n test points, and mark and number the pine brown longhorn beetle in any instar at each test point in a time period T2 to obtain a second generation of pine brown longhorn beetle colony;

[0069] S500, obtain the instar of the pine brown longhorn beetle marked in the time period T2 and the population control factor set of the instar, extract morphological data from the population control factor set to obtain a morphological reference data set;

[0070] Obtain the morphological data of the bred natural enemies to obtain a morphological actual data set; determine the natural enemy species and the age of the natural enemies through the morphological reference data set and the morphological actual data set; release the same natural enemies of each age to n test points (explanation: release one or more natural enemies of the same species to n test points, the age of the same natural enemy species released in the same test point is the same, the natural enemy species released in each test point is the same, and the age of any natural enemy species is different);

[0071] S600, monitor the vital signs and death factors of the pine brown longhorn beetle in the second generation of pine brown longhorn beetle colony to obtain a second feature data set; each second feature data in the second feature data set is composed of the vital signs and death factors of one pine brown longhorn beetle in the instar when the pine brown longhorn beetle is marked in the time period T2;

[0072] S700, determine the influence weight of the released natural enemy species on the pine brown longhorn beetle in each age through n second feature data sets.

[0073] By setting traps at preset test points and trapping the monochamus alternatus in the adult stage, the life history (life signs and death factors of the egg stage, larva stage, pupa stage and adult stage) of the monochamus alternatus laid by the monochamus alternatus is observed and recorded, the monochamus alternatus in the egg stage is marked for tracking the life history of each monochamus alternatus; by analyzing the life history of each monochamus alternatus, the population control factor set of each insect stage of the monochamus alternatus is determined, that is, the natural enemy species that can significantly affect the population quantity development trend of the monochamus alternatus; then, according to the population control factor, the corresponding natural enemy species is bred, and the subsequent release experiment is prepared; in the release experiment, each time only one insect stage is targeted, and the monochamus alternatus in the insect stage at the release time is marked, so as to track the life history of each monochamus alternatus marked in the insect stage; different age stages of the natural enemy are released to each test point to observe the influence of the natural enemy in different age stages on the monochamus alternatus, and the influence weight of the released natural enemy species on the monochamus alternatus in each age stage is obtained; according to the analysis result of the influence weight, the release species, age stage and quantity of the natural enemy can be adjusted to improve the prevention and control effect and reduce the cost; the quantitative analysis provides a scientific basis for optimizing the release strategy of the natural enemy.

[0074] In summary, by fine monitoring, identification of population control factors, determination of natural enemy age stages and analysis of influence weights, the influence degree of the natural enemy age stage on each insect stage of the monochamus alternatus is effectively determined, the prevention and control effect is improved when the natural enemy is released, and scientific guidance and basis are provided for subsequent prevention and control work.

[0075] The second embodiment is as follows:

[0076] On the basis of the first embodiment, the population control factor set of each insect stage of the monochamus alternatus is determined through the above-mentioned first feature data set, and the specific steps include:

[0077] S310, the number of monochamus alternatus in the egg stage is obtained from the above-mentioned one-generation monochamus alternatus cluster, and the one-generation experimental quantity is obtained;

[0078] The life signs corresponding to the egg stage, larva stage, pupa stage and adult stage of the monochamus alternatus are obtained from the above-mentioned first feature data set, and whether the monochamus alternatus dies is determined through the above-mentioned life signs; if the monochamus alternatus dies, the death factor corresponding to the death of the monochamus alternatus in this insect stage is obtained, and the death quantity corresponding to the death factor is added by 1;

[0079] The death quantity corresponding to each death factor of the monochamus alternatus in the egg stage, larva stage, pupa stage and adult stage is counted;

[0080] S320, the mortality rate corresponding to each death factor of the egg stage, larva stage, pupa stage and adult stage is calculated through the above-mentioned one-generation experimental quantity and the death quantity corresponding to each death factor of the egg stage, larva stage, pupa stage and adult stage;

[0081] S330, obtaining the mortality rate corresponding to each mortality factor of the egg stage, larva stage, pupa stage and adult stage of N test points, and calculating the average mortality rate corresponding to each mortality factor of the egg stage, larva stage, pupa stage and adult stage;

[0082] S340, calculating the control index of each mortality factor of the egg stage, larva stage, pupa stage and adult stage by using the following formula;

[0083] ,

[0084] wherein, represents the control index of the first mortality factor when the insect stage is represents the average mortality rate of the first mortality factor when the insect stage is

[0085] S350, calling the control threshold value, and comparing the control index with the control threshold value;

[0086] If the control index is equal to or greater than the control threshold value, the mortality factor corresponding to the control index is classified as a population control factor of the insect stage .

[0087] If the control index is less than the control threshold value, the mortality factor corresponding to the control index is classified as a non-population control factor of the insect stage , which avoids over-concern about the non-population control factor, optimizes the utilization of natural enemy resources, and reduces the control cost.

[0088] For each insect stage, the death amount corresponding to each mortality factor of each test point is counted respectively, and based on the experimental amount of one generation and the death amount corresponding to each mortality factor of each insect stage, the mortality rate of each mortality factor of each insect stage is calculated; the mortality rate corresponding to each mortality factor of each insect stage of N test points is summarized, and the average mortality rate of each mortality factor of each insect stage is calculated, which helps to eliminate the data deviation of a single test point and improve the accuracy of analysis; the control index of each mortality factor of each insect stage is calculated by using the formula, the average mortality rate is converted into a relative quantitative index, which is convenient for comparing the population control ability of different mortality factors on each insect stage of the montezuma; through the classification of the mortality factors by setting the control threshold value, the population control factor and the non-population control factor are obtained, and the population control factor has strong population control ability on the specified insect stage of the montezuma; based on the identification of the population control factor, it can be determined which natural enemy species has the best control effect on the specified insect stage of the montezuma, which provides a scientific basis for the subsequent feeding and release of natural enemies.

[0089] ​​​​A reference application scenario is provided with 10 test points, and the amount of one generation experiment of each test point is known as 100 pine brown longicorn beetles. The death amount corresponding to each death factor of the egg stage, larva stage, pupa stage and adult stage of the pine brown longicorn beetle in the 10 test points is counted, as shown in Table 1.

[0090] Table 1

[0091]

[0092] According to the data in Table 1, the mortality rate of each death factor in each insect stage is calculated by using (wherein, represents the mortality rate of the first death factor when the insect stage is ; represents the mortality amount of the first death factor when the insect stage is ; represents the mortality amount of the first death factor when the insect stage is ; represents the experimental amount when the insect stage is , and the experimental amount of the egg stage is known as 100. According to Table 1, the experimental amount of the larva stage of test point 1 is calculated as (wherein, represents the experimental amount of the egg stage, represents the total death amount of the egg stage, the experimental amount of the pupa stage = the experimental amount of the larva stage - the total death amount of the larva stage, and so on), and the mortality rate of each death factor in each insect stage is calculated. The mortality rate of each death factor in each insect stage is calculated by using (wherein, represents the mortality rate of the first death factor when the insect stage is in test point ; represents the mortality rate of the first death factor when the insect stage is

[0093] Table 2

[0094]

[0095] Finally, the control index of each death factor in the egg stage, larva stage, pupa stage and adult stage is calculated by using , the death factors with a control index lower than a control threshold are excluded, and the population control factor set of the insect stage is obtained.

[0096] Third embodiment:

[0097] On the basis of the second embodiment, before each age period of the same enemy is put into the n test points, the population control factor set of each insect stage is sorted according to the control index to obtain a population control factor sequence. The enemy species putting order of the corresponding insect stage is determined through the population control factor sequence.

[0098] From the experimental aspect, the rearing and release of natural enemies require certain resources and costs. By determining the release sequence of natural enemy species, the natural enemy species with the most significant population control effect on the Monochamus alternatus population can be released first, avoiding the problem that insufficient funds lead to the inability to carry out subsequent release experiments. From the practical application aspect, the population control factor sequence obtained can clearly show which natural enemy species have stronger control ability on each instar of the M. alternatus, which is helpful to develop more accurate natural enemy release strategies, preferentially release natural enemy species with the best control effect, and thus improve the prevention and control efficiency. The release of multiple natural enemy species can help maintain ecological balance, avoid excessive pressure on natural enemy populations, reduce the impact on other biological populations, and thus enhance the sustainability of prevention and control effect.

[0099] A reference application scenario can be obtained from Table 2. The population control factor sequence of the egg stage of the M. alternatus has two types, one is the beetle and the mantis, and the other is the mantis and the beetle. The population control factor sequence of the larval stage of the M. alternatus is C. choui + S. japonicus, C. choui, S. japonicus, and M. alternatus eurytomella. The population control factor sequence of the pupal stage of the M. alternatus is C. choui, S. japonicus, and mantis. The population control factor sequence of the adult stage of the M. alternatus is the beetle, the mantis, and the woodpecker.

[0100] The fourth embodiment is as follows:

[0101] Based on the third embodiment, the number of test points is adjusted according to the above population control factor sequence of each instar, and the specific steps are as follows:

[0102] The population control factor to be released is obtained from the above population control factor sequence, and the number of natural enemy species and the number of instars of each natural enemy species in the population control factor are extracted.

[0103] The number of test points is calculated by the following formula:

[0104] ,

[0105] wherein, represents the number of test points selected when the th population control factor is released; represents the number of instars of the natural enemy species ; represents the number of natural enemy species of the th population control factor when the th instar is in the th population control factor.

[0106] The number of test points to be selected when a certain population control factor is released is calculated using a given formula. This formula takes into account the number of age stages of the natural enemy species and the number of natural enemy species, ensuring that the number of test points covers all natural enemy species and age stages that need to be observed.

[0107] By calculating the number of test points, waste and over-provisioning of resources are avoided, and each test point can fully play its role to provide valuable data for prevention and control work. Reasonable number of test points ensures the comprehensiveness and accuracy of experimental variables.

[0108] In addition, in the actual implementation process, the number of test points can be adjusted flexibly according to specific circumstances. For example, if a certain natural enemy species has a particularly significant control effect on the mont brown longicorn, the number of test points for observing this natural enemy species can be increased.

[0109] In a specific embodiment, the same natural enemy of each age stage is released to n test points described above, and the specific steps are as follows:

[0110] Extract the number of natural enemy species in the above population control factor to be released and the number of age stages of each natural enemy species;

[0111] Take the age stages of the same natural enemy species in the above population control factor as an element set, and obtain an element set group;

[0112] Select one age stage from each element set in the above element set group to determine the natural enemy age stage combination set to be released;

[0113] Release the natural enemy age stage combination in the above natural enemy age stage combination set to be released to each test point.

[0114] According to the single variable principle of the experiment, only one natural enemy age stage is changed to perform the release test, ensuring the comprehensiveness of the experimental variables.

[0115] A reference application scenario can be known from Table 2, the population control factor sequence of the Monochamus alternatus in the larva stage is Sirex noctilio + Dastarcus helophoroides, Sirex noctilio, Dastarcus helophoroides and Monochamus alternatus mesostigmata; the first population control factor (i.e. Sirex noctilio + Dastarcus helophoroides) in the population control factor sequence of the Monochamus alternatus in the larva stage is extracted, the number of natural enemy species in the population control factor is 2, Sirex noctilio and Dastarcus helophoroides both have egg stage, larva stage, pupa stage and adult stage; the age stages of Sirex noctilio are taken as an element set A {Sirex noctilio egg stage, Sirex noctilio larva stage, Sirex noctilio pupa stage, Sirex noctilio adult stage}, the age stages of Dastarcus helophoroides are taken as an element set B {Dastarcus helophoroides egg stage, Dastarcus helophoroides larva stage, Dastarcus helophoroides pupa stage, Dastarcus helophoroides adult stage}, and the element set A and the element set B jointly constitute an element set group C {A, B}; one age stage is selected from the element set A and the element set B respectively, and a recombined natural enemy species age stage combination set D {D1 {Sirex noctilio egg stage, Dastarcus helophoroides egg stage}, D2 {Sirex noctilio egg stage, Dastarcus helophoroides larva stage}, D3 {Sirex noctilio egg stage, Dastarcus helophoroides pupa stage}, D4 {Sirex noctilio egg stage, Dastarcus helophoroides adult stage}, D5 {Sirex noctilio larva stage, Dastarcus helophoroides egg stage}, D6 {Sirex noctilio larva stage, Dastarcus helophoroides larva stage}, D7 {Sirex noctilio larva stage, Dastarcus helophoroides pupa stage}, D8 {Sirex noctilio larva stage, Dastarcus helophoroides adult stage}, D9 {Sirex noctilio pupa stage, Dastarcus helophoroides egg stage}, D10 {Sirex noctilio pupa stage, Dastarcus helophoroides larva stage}, D11 {Sirex noctilio pupa stage, Dastarcus helophoroides pupa stage}, D12 {Sirex noctilio pupa stage, Dastarcus helophoroides adult stage}, D13 {Sirex noctilio adult stage, Dastarcus helophoroides egg stage}, D14 {Sirex noctilio adult stage, Dastarcus helophoroides larva stage}, D15 {Sirex noctilio adult stage, Dastarcus helophoroides pupa stage}, D16 {Sirex noctilio adult stage, Dastarcus helophoroides adult stage}} is obtained; the selected test point quantity 16 is obtained by using , and D1-D16 in the natural enemy species age stage combination set D to be released are respectively released to 16 test points.

[0116] Fifth embodiment

[0117] On the basis of any of the above embodiments, the influence weight of the released natural enemy species on the Monochamus alternatus at each age stage is determined through the above-mentioned second feature data set, and the specific steps are as follows:

[0118] S710, the quantity of the marked Monochamus alternatus is obtained from the above-mentioned Monochamus alternatus group, and the quantity of the second generation experiment is obtained;

[0119] Obtaining the vital signs of the Monochamus alternatus from the second feature data set, determining whether the Monochamus alternatus is dead through the vital signs; if the Monochamus alternatus is dead, obtaining the death factor of the Monochamus alternatus, and determining whether the death factor is the species of the natural enemy released; if yes, the death amount of the natural enemy in the corresponding age stage is increased by 1;

[0120] Obtaining the death amount of the Monochamus alternatus in the corresponding age stage of the natural enemy, and obtaining the second-generation death amount;

[0121] S720, calculating the mortality of the Monochamus alternatus in the age stage of the natural enemy released through the second-generation experimental amount and the second-generation death amount, and obtaining the second-generation mortality;

[0122] S730, obtaining the second-generation mortality of the Monochamus alternatus in n test points, and calculating the influence weight of the natural enemy released on the Monochamus alternatus in each age stage through the following formula:

[0123] ,

[0124] Wherein, represents the influence weight of the natural enemy released on the Monochamus alternatus in the first age stage of the natural enemy when the insect stage is . represents the mortality of the Monochamus alternatus caused by the natural enemy released in the first age stage of the natural enemy when the insect stage is . represents the influence weight of the natural enemy released on the Monochamus alternatus in the second age stage of the natural enemy when the insect stage is . represents the mortality of the Monochamus alternatus caused by the natural enemy released in the second age stage of the natural enemy when the insect stage is . represents the influence weight of the natural enemy released on the Monochamus alternatus in the third age stage of the natural enemy when the insect stage is . represents the mortality of the Monochamus alternatus caused by the natural enemy released in the third age stage of the natural enemy when the insect stage is .

[0125] Sixth embodiment:

[0126] A terminal, comprising:

[0127] A processor for storing a memory storing processor-executable instructions;

[0128] Wherein, the processor is configured to call the instructions stored in the memory to execute any one of the analysis methods described above.

[0129] Seventh embodiment:

[0130] A computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions are executed by a processor to implement any one of the analysis methods described above.

[0131] The above detailed description of the specific embodiments of the present application has been given to understand the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for analyzing enemies of the longhorned beetle Monochamus alternatus, characterized by, The method comprises the following steps: S100, presetting N test points, setting a trap at each of the N test points, trapping the adult stage of the monochamus alternatus hope in the trap, and the adult stage of the monochamus alternatus hope laying eggs at the test point; S200, marking and numbering the monochamus alternatus hope in the egg stage at each test point within a time period T1 to obtain a first generation of monochamus alternatus hope cluster; Monitoring the vital signs and death factors of each monochamus alternatus hope in the first generation of monochamus alternatus hope cluster in each stage to obtain a first characteristic data set; the first characteristic data in the first characteristic data set is composed of the vital signs and death factors of a monochamus alternatus hope in any stage, wherein the death factor is the natural enemy species that causes the death of the monochamus alternatus hope; S300, determining a population control factor set of the monochamus alternatus hope in each stage through N first characteristic data sets, wherein the population control factor in the population control factor set is the natural enemy species that controls the population quantity development trend; based on the population control factor set, the natural enemy of the corresponding species is bred; S400, selecting n test points, marking and numbering the monochamus alternatus hope in any stage at each selected test point within a time period T2 to obtain a second generation of monochamus alternatus hope cluster; S500, obtaining the stage of the monochamus alternatus hope when the monochamus alternatus hope is marked and the population control factor set of the stage, extracting morphological data from the population control factor set to obtain a morphological reference data set; Obtaining the morphological data of the bred natural enemy to obtain a morphological actual data set; determining the natural enemy species and the natural enemy age period through the morphological reference data set and the morphological actual data set; and releasing the same natural enemy of each age period to n test points respectively; S600, monitoring the vital signs and death factors of the monochamus alternatus hope in the second generation of monochamus alternatus hope cluster to obtain a second characteristic data set; the second characteristic data in the second characteristic data set is composed of the vital signs and death factors of a monochamus alternatus hope in the stage of the monochamus alternatus hope when the monochamus alternatus hope is marked in the time period T2; S700, determining the influence weight of the released natural enemy species on the monochamus alternatus hope in each age period through n second characteristic data sets; The specific steps for determining the population control factor set of the monochamus alternatus hope in each stage through the first characteristic data set include: S310, obtaining the number of monochamus alternatus hope in the egg stage from the first generation of monochamus alternatus hope cluster to obtain a first generation experiment amount; Obtaining the vital signs corresponding to the egg stage, larva stage, pupa stage and adult stage of the monochamus alternatus hope from the first characteristic data set, determining whether the monochamus alternatus hope dies through the vital signs; if the monochamus alternatus hope dies, obtaining the death factor, and adding 1 to the death amount corresponding to the death factor in the stage; Counting the death amount corresponding to each death factor in the egg stage, larva stage, pupa stage and adult stage of the monochamus alternatus hope; S320, calculating the mortality rate corresponding to each death factor in the egg stage, larva stage, pupa stage and adult stage of the monochamus alternatus hope through the first generation experiment amount and the death amount corresponding to each death factor in the egg stage, larva stage, pupa stage and adult stage; S330, obtain the mortality corresponding to each mortality factor of the egg stage, larva stage, pupa stage and adult stage of N test points, and calculate the average mortality corresponding to each mortality factor of the egg stage, larva stage, pupa stage and adult stage; S340, calculate the control index of each mortality factor of the egg stage, larva stage, pupa stage and adult stage by using the following formula; ， wherein, represents the insect stage at which the control index of the first mortality factor; represents the insect stage at which the mortality average of the second mortality factor; S350, call the control threshold, and compare the control index and the control threshold; if the control index is equal to or greater than a control threshold, then classifying the mortality factor corresponding to the control index as a population control factor for the insect stage ​ If the control index is less than the control threshold, the mortality factor corresponding to the control index is classified as the insect stage. Non-population control factors.

2. The method of claim 1, wherein the method is for identifying a natural enemy of the longhorned beetle. Before releasing the same enemy of each instar stage into n test points, it is also necessary to sort the population control factor set of each instar stage according to the size of the control index to obtain a population control factor sequence. The population control factor sequence is used to determine the release order of the enemy species corresponding to the instar stage.

3. The method according to claim 2, wherein According to the population control factor sequence of each instar stage, the number of selected test points is adjusted, and the specific steps are as follows: Obtain the population control factor to be released from the population control factor sequence, and extract the number of enemy species and the number of instars of each enemy species in the population control factor; The number of selected test points is calculated by the following formula: ， wherein, represents the number of instars of the pest species represents the number of instars of the pest species represents the number of test points selected when the represents the number of instars of the natural enemy species represents the number of instars of the pest species represents the number of instars of the pest species represents the number of instars of the pest species represents the number of instars of the pest species 4. The method according to claim 3, wherein Release the same enemy of each instar stage into n test points, and the specific steps are as follows: Extract the number of enemy species and the number of instars of each enemy species in the population control factor to be released; Take the instar of the same enemy species in the population control factor as an element set to obtain an element set group; Select an instar from each element set in the element set group to determine the enemy species instar combination set to be released; Release the enemy species instar combination in the enemy species instar combination set to be released to each test point.

5. The method of claim 1, wherein the method is used for analyzing enemies of the longhorned beetle, Monochamus alternatus. By using the second feature data set, the influence weight of the released enemy species on the monochamus alternatus at each instar stage is determined, and the specific steps are as follows: S710, obtain the number of marked monochamus alternatus from the second generation monochamus alternatus group to obtain the second generation experimental amount; Obtain the vital signs of the monochamus alternatus from the second feature data set, and determine whether the monochamus alternatus is dead by using the vital signs. If the monochamus alternatus is dead, obtain the death factor of the monochamus alternatus, and determine whether the death factor is the released enemy species. If yes, the death amount corresponding to the enemy instar is increased by 1; Count the death amount of the monochamus alternatus corresponding to the enemy instar to obtain the second generation death amount; S720, calculate the mortality of the monochamus alternatus at the instar stage of the released enemy species by using the second generation experimental amount and the second generation death amount to obtain the second generation mortality; S730, obtain the second generation mortality of the monochamus alternatus of n test points, and calculate the influence weight of the released enemy species on the monochamus alternatus at each instar stage by using the following formula; ， wherein, represents the insect stage at the time of the natural enemy species released in the first natural enemy instar that affects the mortality of the M. alternatus; represents the insect stage at the time of the natural enemy species released in the first natural enemy instar that causes the mortality of the M. alternatus; represents the insect stage at the time of the natural enemy species released in the first natural enemy instar that causes the mortality of the M. alternatus.

6. A terminal, characterized by comprising: Comprise: A processor for storing a memory of processor executable instructions; Wherein, the processor is configured to call the instructions stored in the memory to execute the analysis method in any one of claims 1 to 5.

7. A computer-readable storage medium having stored thereon computer program instructions, wherein, The computer program instructions are executed by the processor to implement the analysis method in any one of claims 1 to 5.

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