Method, device, equipment and medium for identifying hypoxia resistance of grass carp population

Abstract

The invention relates to the technical field of hypoxia resistance of grass carp groups, in particular to a method, a device, equipment and a medium for identifying hypoxia resistance of grass carp groups. The method comprises the following steps: acquiring blood routine information of a to-be-detected grass carp population; obtaining a hypoxia-resistant screening model, wherein the hypoxia-resistant screening model represents the relationship between the blood routine information and the hypoxia-resistant capability of the grass carp population; and according to the blood routine information and the hypoxia-resistant screening model, obtaining a hypoxia-resistant identification result. According to the technical scheme, the hypoxia tolerance of the grass carp can be judged only by collecting the blood of the grass carp and carrying out blood routine analysis to obtain the blood routine information.

Description

Technical Field

[0001] The present application relates to the technical field of grass carp population hypoxia tolerance, and specifically to a method, device, equipment and medium for identifying the hypoxia tolerance of grass carp population. Background Art

[0002] Grass carp (Ctenopharyngodonidella) often encounters hypoxia stress during the breeding process, which leads to slow growth or even death, causing economic losses to farmers. Therefore, it is crucial to determine the hypoxia tolerance of the breeding population and cultivate new grass carp varieties with strong hypoxia tolerance for the development of the breeding industry.

[0003] At present, the methods for screening and identifying fish hypoxia-resistant populations mainly focus on screening populations with strong hypoxia resistance through PCR amplification reactions based on genes or single nucleotide polymorphism (SNP) molecular markers associated with the hypoxia resistance trait (CN114752679A; CN117625797A). These methods require operations such as nucleic acid extraction, primer design, PCR reaction, and genotyping, and have the disadvantages of complex detection procedures, long time, and high cost. Summary of the invention

[0004] The inventors of the present application collected routine blood information of grass carp populations and constructed a model for rapidly screening the hypoxia tolerance of grass carp populations. This model can rapidly and accurately predict the overall hypoxia tolerance of grass carp populations in unknown environments.

[0005] To this end, the embodiments of the present application disclose at least the following technical solutions:

[0006] In a first aspect, the embodiment discloses a method for identifying the hypoxia tolerance of a grass carp population. The identification method comprises:

[0007] Obtaining blood routine information of the grass carp population to be tested;

[0008] Acquire a hypoxia tolerance screening model, wherein the hypoxia tolerance screening model characterizes the relationship between the blood routine information and the hypoxia tolerance of the grass carp population;

[0009] According to the routine blood test information and the hypoxia resistance screening model, a hypoxia resistance identification result is obtained.

[0010] In some embodiments of the first aspect, the routine blood information includes white blood cell count, lymphocyte count, monocyte count, neutrophil count percentage, mean corpuscular volume and platelet count.

[0011] In some embodiments of the first aspect, the mathematical expression of the hypoxia resistance screening model is:

[0012] Fs = -77.007 - 0.074 × X1 + 0.213 × X2 + 0.135 × X3 + 1.12 × X4 + 0.897 × X5 - 0.192 × X6, or

[0013] Fc = -210.914 + 0.024 × X1 + 0.237 × X2 - 0.894 × X3 + 3.046 × X4 + 1.191 × X5 - 1.064 × X6, or

[0014] Ft=-50.661-0.063×X1+0.172×X2+0.081×X3+0.693×X4+0.702×X5+0.106×X6,

[0015] Among them, X1, X2, X3, X4, X5 and X6 are the number of white blood cells, the number of lymphocytes, the number of monocytes, the percentage of neutrophils, the mean corpuscular volume and the number of platelets respectively.

[0016] In some embodiments of the first aspect, the hypoxia tolerance identification result is the Fs value, the Fc value or the Ft value. If the Fs value is the largest among the Fs value, the Fc value and the Ft value, the grass carp population to be tested is a non-hypoxia tolerance population.

[0017] If the Fc value is the largest among the Fs value, the Fc value and the Ft value, the grass carp population to be tested is an intermediate population.

[0018] If the Ft value is the largest among the Fs value, the Fc value and the Ft value, the grass carp population to be tested is a hypoxia-tolerant population.

[0019] In the present application, "hypoxia" means that the oxygen content in the water where the grass carp population grows is no higher than 5 mg / L.

[0020] In the second aspect, the embodiment discloses a device for measuring the hypoxia tolerance of a grass carp population. The device includes a first acquisition unit, a second acquisition unit, and a discrimination unit. The first acquisition unit is used to obtain blood routine information of the grass carp population to be tested. The second acquisition unit is used to obtain a hypoxia tolerance screening model, and the hypoxia tolerance screening model characterizes the relationship between the blood routine information and the hypoxia tolerance of the grass carp population. The discrimination unit is used to obtain a hypoxia tolerance identification result based on the blood routine information and the hypoxia tolerance screening model.

[0021] In a third aspect, an embodiment discloses a computer device, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the method described in the first aspect.

[0022] In a fourth aspect, an embodiment discloses a computer-readable storage medium, wherein the storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the method described in the first aspect.

[0023] The technical solution of the embodiment of the present application can judge the hypoxia tolerance of grass carp by only collecting blood from grass carp for routine blood analysis to obtain routine blood information. Compared with the method that requires operations such as nucleic acid extraction, primer design, PCR reaction, and genotyping, the technical solution provided by the present application is simple to operate, low in cost, short in time, and high in efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic flow chart of a method for identifying the hypoxia tolerance of a grass carp population provided in an embodiment.

[0025] Figure 2 This is a flow chart of step S10 provided in the embodiment.

[0026] Figure 3 This is a flow chart of step S20 provided in an embodiment.

[0027] Figure 4 This is a flow chart of step S30 provided in the embodiment.

[0028] Figure 5 This is a visual display image of the blood routine information provided in the embodiment.

[0029] Figure 6 This is a schematic diagram of the structure of a device for identifying the hypoxia tolerance of a grass carp population provided in an embodiment. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail in conjunction with the embodiments below. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. The reagents not described separately in detail in the present application are all conventional reagents and can be obtained from commercial channels; the methods not described in detail are all conventional test methods and can be obtained from the prior art.

[0031] It should be understood that the references to "one embodiment" or "an embodiment" throughout the specification mean that the specific features, structures, or characteristics associated with the embodiment are included in at least one embodiment of the present application. Therefore, the references to "in one embodiment" or "in an embodiment" appearing throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0032] In the various embodiments of the present application, it should be understood that the size of the serial numbers of the following processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0033] Routine blood test refers to the determination of blood condition by detecting changes in the number and morphological distribution of blood cells. Currently, routine blood test can be completed quickly by fully automatic blood cell analyzer. Routine blood test includes red blood cell count, hemoglobin, white blood cells, platelets, etc., which can usually be divided into three major systems, namely the red blood cell system, white blood cell system and platelet system. A large number of studies have shown that fish in hypoxic water environment can adapt to low oxygen environment by changing routine blood test indicators.

[0034] The present application collects blood through the tail artery, uses a fully automatic blood cell analyzer to measure the indicators of the red blood cell system, the white blood cell system and the platelet system, and the detection data is analyzed and judged to screen the group with strong tolerance to low oxygen, which can accurately screen the grass carp resistant to low oxygen groups.

[0035] In conjunction with the accompanying drawings, the method, device, equipment and medium for identifying the hypoxia tolerance of grass carp populations provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0036] See also Figure 1 As shown, the identification method of the hypoxia tolerance of the grass carp population includes:

[0037] S10. Obtaining routine blood information of the grass carp population to be tested.

[0038] S20, obtaining a hypoxia tolerance screening model, wherein the hypoxia tolerance screening model characterizes the relationship between the routine blood information and the hypoxia tolerance of the grass carp population.

[0039] S30, obtaining a hypoxia resistance identification result according to the routine blood test information and the hypoxia resistance screening model.

[0040] The method for identifying the hypoxia tolerance of grass carp populations provided in the embodiments of the present application can be applied to electronic devices with input components, such as personal computers, mobile terminals, etc., which are not specifically limited here. The input device can be a mouse, keyboard or camera.

[0041] It is easy to understand that the blood routine information can correspond to the user's preset operation on the electronic device, for example: the user clicks the icon of an application on the electronic device desktop, enters the electronic device application interface, and inputs the blood routine information through the mouse and keyboard; or the electronic device obtains the image information placed by the user in the camera identifiable area through its camera device, which will not be listed here one by one. In general, the above blood routine information can be received in a scenario where the hypoxia tolerance identification is required.

[0042] In some embodiments, the routine blood information includes white blood cell count, lymphocyte count, monocyte count, neutrophil count percentage, mean corpuscular volume and platelet count.

[0043] In some embodiments, the user places an object displaying routine blood information under a camera, and the electronic device identifies the routine blood information through the camera, for example, identifying the number of white blood cells, the number of lymphocytes, the number of monocytes, the percentage of neutrophils, the mean corpuscular volume, and the number of platelets; the identified information is obtained and automatically input into a storage component of the electronic device.

[0044] It is worth noting that the specific object shown here can be a document or paper showing blood routine information, or any carrier that can display text information. This application does not specifically limit this, and can be selected according to actual needs. In order to simplify the description, in the following embodiments, the blood routine information obtained by photographing objects such as documents or paper will be mainly used as an example to illustrate the method for identifying hypoxia tolerance.

[0045] It is easy to understand that documents or papers usually include tables of various blood routine indicators. The above-mentioned blood routine information is obtained by photographing the documents or papers, and thus there are also corresponding tables of various blood routine indicators. By identifying the tables recording various blood routine indicators and obtaining blood routine information therefrom, the purpose of identifying hypoxia tolerance can be achieved.

[0046] In some embodiments, Figure 2 As shown, step S10 includes:

[0047] S101: Acquire a blood routine image, wherein the blood routine image is an image showing blood routine characters and blood routine values;

[0048] S102: comparing the blood routine character with a preset character;

[0049] S103: If the blood routine character is consistent with the preset character, obtaining the blood routine value corresponding to the blood routine character.

[0050] In some S101 steps, the electronic device uses its camera to shoot the document or paper to obtain a blood routine image, which is a table recording various blood routine preparations, and each row or column of the table records an indicator and the value under the indicator, that is, a blood routine character and a blood routine value. Specifically, the blood routine indicators are white blood cell count, lymphocyte count, monocyte count, neutrophil percentage, mean corpuscular volume and platelet count, and the corresponding blood routine characters are "WBC" or "white blood cell count", "lymphocyte count" or "Lymph", "monocyte count" or "Mon", "neutrophil percentage" or "Gran%, mean corpuscular volume" or "MCV", "platelet count" or "PLT". The corresponding blood routine values ​​are the blood routine test values ​​of white blood cell count, lymphocyte count, monocyte count, neutrophil percentage, mean corpuscular volume and platelet count. In addition, the blood routine characters also include "*", and the corresponding blood routine value is empty.

[0051] In some S102 steps, the preset characters are pre-stored in the storage component of the electronic device. The electronic device obtains the blood routine image through its camera, reads the blood routine characters in the blood routine image and the preset characters in the storage component through its computing component, and compares them.

[0052] In this step, the comparison may be to compare the pixels of the blood routine character with the preset character, or to convert the blood routine character with the preset character into preset binary codes for comparison.

[0053] In this embodiment, routine blood information can be identified based on routine blood images. Combined with the description in the above examples, the routine blood image can be considered to be obtained when the image is displayed on the display screen, or it can be input by the user, or it can be transmitted from other electronic devices. The routine blood information can be considered to be obtained when the routine blood image is displayed on the display screen, or it can be considered to be obtained by the electronic device executing step S10. The routine blood information is specifically a routine blood value. Therefore, through the method provided in the embodiment of the present application, it is possible to identify documents or papers recording routine blood indicators, actively obtain routine blood images, and extract routine blood characters from the routine blood images, and then compare them with preset characters, and judge the hypoxia tolerance of grass carp according to the comparison results, thereby improving the accuracy and recognition of the judgment, and improving the identification effect of hypoxia tolerance.

[0054] In some embodiments, Figure 3 As shown, step S20 includes:

[0055] S201: Acquire multiple hypoxia-resistant grass carp sample information, multiple intermediate hypoxia-resistant grass carp sample information, and multiple non-hypoxia-resistant grass carp sample information, each of the grass carp sample information includes at least one blood routine information and at least one hypoxia-resistant result;

[0056] S202: using a plurality of hypoxia-resistant grass carp sample information, a plurality of intermediate hypoxia-resistant grass carp sample information, and a plurality of non-hypoxia-resistant grass carp sample information to train the Bayesian discriminant function respectively, to obtain a hypoxia-resistant model, a general hypoxia-resistant model, and a non-hypoxia-resistant model respectively;

[0057] S203: using at least one hypoxia-resistant grass carp sample information, at least one hypoxia-resistant grass carp sample information and at least one non-hypoxia-resistant grass carp sample information to respectively verify the hypoxia-resistant model, the general oxygen-resistant model and the non-oxygen-resistant model.

[0058] In step S20, the grass carp sample information includes the routine blood information of the grass carp, and the routine blood information includes the white blood cell count, lymphocyte count, monocyte count, neutrophil count percentage, mean corpuscular volume and platelet count.

[0059] In some embodiments, Figure 4 As shown, step S30 includes:

[0060] S301: Reading the blood routine value and the hypoxia resistance screening model in the blood routine information;

[0061] S302: inputting the read blood routine value into the hypoxia resistance screening model to calculate the hypoxia resistance identification threshold;

[0062] S303: Identifying the hypoxia tolerance of the grass carp population to be tested according to the hypoxia tolerance identification threshold.

[0063] In some embodiments, the blood routine values ​​include white blood cell count, lymphocyte count, monocyte count, neutrophil count percentage, mean corpuscular volume and platelet count; the mathematical expression of the hypoxia tolerance screening model is:

[0064] Fs=-77.007-0.074×X1+0.213×X2+0.135×X3+1.12×X4+0.897×X5-0.192×X6;

[0065] Fc = -210.914 + 0.024 × X1 + 0.237 × X2 - 0.894 × X3 + 3.046 × X4 + 1.191 × X5 - 1.064 × X6; and

[0066] Ft = -50.661-0.063×X1+0.172×X2+0.081×X3+0.693×X4+0.702×X5+0.106×X6, wherein X1, X2, X3, X4, X5 and X6 are the number of white blood cells, the number of lymphocytes, the number of monocytes, the percentage of neutrophils, the mean corpuscular volume and the number of platelets respectively.

[0067] In some embodiments, the hypoxia tolerance identification threshold is the Fs value, the Fc value or the Ft value. If the Fs value is the largest of the three of the Fs value, the Fc value and the Ft value, the grass carp population to be tested is a hypoxia-sensitive grass carp population. If the Fc value is the largest of the three of the Fs value, the Fc value and the Ft value, the grass carp population to be tested is an intermediate population. If the Ft value is the largest of the three of the Fs value, the Fc value and the Ft value, the grass carp population to be tested is a hypoxia-tolerant population.

[0068] In a practical application scenario, the method includes:

[0069] 1) Acquisition and division of grass carp populations

[0070] The test was conducted at the breeding base of Shengfeng Fishery Co., Ltd. in Ezhou City, Hubei Province. Grass carp (74.80±23.97g) with strong vitality and health were selected and temporarily kept in a concrete pool with a temperature of 25±0.5℃ and dissolved oxygen of 7.2±0.5mg / L. After 2 weeks of feeding, 1500 grass carps were randomly selected and placed in a closed container for hypoxia stress treatment. Since fish activities need to consume oxygen in the water, the oxygen concentration in the water continues to decrease, forming an oxygen-deficient environment. Grass carps that are more sensitive to hypoxia will first roll over (roll over: grass carp loses balance, showing back down and abdomen up), and the rolled individuals are quickly taken out and placed in normoxic water (DO>5mg / L) for 24h recovery treatment. Referring to the method reported by Wu Biyin et al. (2022, Whole-genome association analysis of hypoxia adaptation traits in common carp), the first 5% of the 75 grass carps that flipped over were defined as a non-hypoxia-tolerant group, the middle 90% of the 1,350 grass carps that flipped over were defined as an intermediate group, and the last 5% of the 75 grass carps that flipped over were defined as a hypoxia-tolerant group. Among them, the intermediate group is neither a non-hypoxia-tolerant group nor a hypoxia-tolerant group, and its hypoxia tolerance is between the non-hypoxia-tolerant group and the hypoxia-tolerant group.

[0071] 2) Detection and acquisition of blood routine information

[0072] Randomly select 50 grass carps from each of the non-hypoxia-tolerant group, the intermediate group, and the hypoxia-tolerant group of grass carps, and use 100 mg / L MS-222 (pH 7.5, NaHCO3, buffer) to lightly anesthetize them. Use a medical blood collection needle and a blood collection tube (containing K2EDTA anticoagulant, 2.0 mg / mL blood) to collect 100 μL of blood from the tail artery and store it at room temperature. Use a fully automatic blood cell analyzer to measure the blood routine of grass carp in the "whole blood mode" to obtain its blood routine test results. After the S10 step described in the embodiment, the visual display image of the obtained blood routine information is as follows: Figure 5As shown. Among them, X1: white blood cell count; X2: lymphocyte count; X3: monocyte count; X4: neutrophil percentage; X5: mean corpuscular volume; X6: platelet count. Fs is a non-hypoxia-resistant population, Fc is an intermediate population, and Ft is a hypoxia-resistant population.

[0073] By executing step S20 and step S30 provided in the embodiment, the obtained hypoxia tolerance identification results can be shown in Table 2. As shown in Table 2, 92% of the 50 grass carps that flipped over in the first 5% were accurately identified as non-hypoxia tolerance groups, 100% of the 50 grass carps that flipped over in the middle 90% were accurately identified as middle groups, and 92% of the 50 grass carps that flipped over in the last 5% were accurately identified as hypoxia tolerance groups, with a comprehensive discrimination rate of 94.7%.

[0074] Table 2. Hypoxia resistance identification results provided by an embodiment

[0075]

[0076]

[0077] It should be noted that the execution subject of the hypoxia tolerance identification method provided in the embodiment of the present application may be a hypoxia tolerance identification device, or a control unit in the hypoxia tolerance identification device for executing the hypoxia tolerance identification method. In the embodiment of the present application, the hypoxia tolerance identification device executing the hypoxia tolerance identification method is taken as an example to illustrate the hypoxia tolerance identification device provided in the embodiment of the present application.

[0078] Figure 6 800 is a schematic diagram of a structure of a hypoxia tolerance identification device provided in an embodiment of the present application. The hypoxia tolerance identification device 800 may include:

[0079] A first acquisition unit 81 is used to acquire blood routine information of the grass carp population to be tested;

[0080] A second acquisition unit 82 is used to acquire a hypoxia tolerance screening model, wherein the hypoxia tolerance screening model represents the relationship between the blood routine information and the hypoxia tolerance of the grass carp population;

[0081] The identification unit 83 is used to obtain a hypoxia resistance identification result according to the routine blood information and the hypoxia resistance screening model.

[0082] In some embodiments, the first acquisition unit 81 may further include a first acquisition module 811, a first comparison module 812, and a first output module 813. The first reading module 811 is used to acquire a blood routine image, wherein the blood routine image is an image showing a blood routine character and a blood routine value. The first comparison module 812 is used to compare the blood routine character with a preset character. The first output module 813 is used to read the blood routine value corresponding to the blood routine character and the preset character.

[0083] In some embodiments, the second acquisition unit 82 may further include a second acquisition module 821 , a training module 822 , and a verification module 823 .

[0084] The second acquisition module 821 is used to acquire multiple hypoxia-resistant grass carp sample information, multiple intermediate hypoxia-resistant grass carp sample information and multiple non-hypoxia-resistant grass carp sample information, each of which includes at least one blood routine information and at least one hypoxia-resistant result.

[0085] The training module 822 is used to train the Bayesian discriminant function using multiple hypoxia-resistant grass carp sample information, multiple intermediate hypoxia-resistant grass carp sample information and multiple non-hypoxia-resistant grass carp sample information to obtain a hypoxia-resistant model, a general hypoxia-resistant model and a non-hypoxia-resistant model respectively.

[0086] The verification module 823 is used to verify the hypoxia-resistant model, the general oxygen-resistant model and the non-oxygen-resistant model respectively using at least one hypoxia-resistant grass carp sample information, at least one hypoxia-resistant grass carp sample information and at least one non-hypoxia-resistant grass carp sample information.

[0087] In some embodiments, the determination unit 83 may further include a third reading module 831 , a third calculation module 832 , and a third identification module 833 .

[0088] The third reading module 831 is used to read the blood routine value in the blood routine information and the hypoxia resistance screening model.

[0089] The third calculation module 832 is used to input the read blood routine value into the hypoxia resistance screening model to calculate the hypoxia resistance identification threshold.

[0090] The third identification module 833 is used to identify the hypoxia tolerance of the grass carp population to be tested according to the hypoxia tolerance identification threshold.

[0091] The hypoxia tolerance identification device in the embodiment of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc., and the non-mobile electronic device can be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0092] The hypoxia tolerance identification device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0093] The hypoxia resistance identification device provided in the embodiment of the present application can realize each process realized by the hypoxia resistance identification device in the above hypoxia resistance identification method embodiment, and will not be described again here to avoid repetition.

[0094] Optionally, an embodiment of the present application also provides an electronic device, including a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, each process of the above-mentioned embodiment of the method for identifying low oxygen tolerance is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0095] It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

[0096] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned embodiment of the method for identifying low oxygen tolerance is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0097] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0098] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned embodiment of the method for identifying low oxygen tolerance, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0099] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0100] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0101] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the relevant technology, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0102] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed in the present application should be covered within the protection scope of the present application.

Claims

1. A method for identifying the hypoxia tolerance of grass carp populations, comprising: Obtaining blood routine information of the grass carp population to be tested; Acquire a hypoxia tolerance screening model, wherein the hypoxia tolerance screening model characterizes the relationship between the blood routine information and the hypoxia tolerance of the grass carp population; According to the routine blood test information and the hypoxia resistance screening model, a hypoxia resistance identification result is obtained.

2. The identification method according to claim 1, wherein the step of obtaining the blood routine information of the grass carp population to be tested comprises: Acquire a blood routine image, wherein the blood routine image is an image showing blood routine characters and blood routine values; Comparing the blood routine character with the preset character; If the blood routine character is consistent with the preset character, the blood routine value corresponding to the blood routine character is obtained.

3. The identification method according to claim 1, wherein the step of obtaining the hypoxia resistance screening model comprises: Acquire multiple hypoxia-resistant grass carp sample information, multiple intermediate hypoxia-resistant grass carp sample information, and multiple non-hypoxia-resistant grass carp sample information, each of the grass carp sample information includes at least one blood routine information and at least one hypoxia-resistant result; The Bayesian discriminant function is trained using multiple hypoxia-tolerant grass carp sample information, multiple intermediate hypoxia-tolerant grass carp sample information, and multiple non-hypoxia-tolerant grass carp sample information to obtain a hypoxia-tolerant model, a general hypoxia-tolerant model, and a non-hypoxia-tolerant model. The hypoxia-resistant model, the general oxygen-resistant model and the non-oxygen-resistant model are verified respectively using at least one hypoxia-resistant grass carp sample information, at least one hypoxia-resistant grass carp sample information and at least one non-hypoxia-resistant grass carp sample information.

4. The identification method according to claim 1, wherein the step of obtaining the hypoxia resistance identification result according to the routine blood information and the hypoxia resistance screening model comprises: Reading the blood routine values ​​and the hypoxia resistance screening model in the blood routine information; Inputting the read blood routine value into the hypoxia resistance screening model to calculate the hypoxia resistance identification threshold; The hypoxia tolerance of the grass carp population to be tested is identified according to the hypoxia tolerance identification threshold.

5. The identification method according to claim 1, wherein the mathematical expression of the hypoxia resistance screening model is Fs=-77.007-0.074×X1+0.213×X2+0.135×X3+1.12×X4+0.897×X5-0.192×X6, or Fc = -210.914 + 0.024 × X1 + 0.237 × X2 - 0.894 × X3 + 3.046 × X4 + 1.191 × X5 - 1.064 × X6, or Ft=-50.661-0.063×X1+0.172×X2+0.081×X3+0.693×X4+0.702×X5+0.106×X6, in, X1, X2, X3, X4, X5 and X6 are the white blood cell count, lymphocyte count, monocyte count, percentage of neutrophils, mean corpuscular volume and platelet count, respectively.

6. The identification method according to claim 1, wherein the hypoxia resistance identification result is the Fs value, the Fc value or the Ft value; If the Fs value is the largest among the Fs value, the Fc value and the Ft value, the grass carp population to be tested is a non-hypoxia tolerant population; If the Fc value is the largest among the Fs value, the Fc value and the Ft value, the grass carp population to be tested is an intermediate population; If the Ft value is the largest among the Fs value, the Fc value and the Ft value, the grass carp population to be tested is a hypoxia-tolerant population.

7. A device for identifying the hypoxia tolerance of grass carp populations, comprising: The first acquisition unit is used to acquire the blood routine information of the grass carp group to be tested; A second acquisition unit is used to acquire a hypoxia tolerance screening model, wherein the hypoxia tolerance screening model represents the relationship between the blood routine information and the hypoxia tolerance of the grass carp population; and The discrimination unit is used to obtain a hypoxia resistance identification result according to the routine blood information and the hypoxia resistance screening model.

8. A computer device, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the method according to claims 1 to 6.

9. A computer-readable storage medium, wherein at least one instruction, at least one program, code set or instruction set is stored in the storage medium, and the at least one instruction, the at least one program, the code set or instruction set is loaded and executed by a processor to implement the method according to claims 1 to 6.

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