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

Abstract

This application relates to the technical field of hypoxia tolerance of grass carp populations, and specifically relates to a method, device, equipment and medium for identifying the hypoxia tolerance ability of grass carp populations. This application obtains the blood routine information of the grass carp population to be tested; obtains a hypoxia tolerance screening model, and the hypoxia tolerance screening model characterizes the relationship between the blood routine information and the hypoxia tolerance ability of the grass carp population; and obtains a hypoxia tolerance identification result according to the blood routine information and the hypoxia tolerance screening model. The technical solution of this application can judge the hypoxia tolerance ability of grass carp only by collecting the blood of grass carp for blood routine analysis to obtain blood routine information.

Description

Technical Field

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

[0002] Grass carp (Ctenopharyngodon idella) often encounter hypoxia stress during the breeding process, resulting in slow growth or even death, causing economic losses to farmers. Therefore, it is crucial to judge the hypoxia tolerance ability of the breeding population and cultivate new grass carp varieties with strong hypoxia tolerance ability for the development of the breeding industry.

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

[0004] The inventors of this application collected the blood routine information of grass carp populations and constructed a model for quickly screening the hypoxia tolerance ability of grass carp populations. Through this model, the overall hypoxia tolerance ability of grass carp populations in unknown environments can be predicted quickly and accurately.

[0005] For this reason, the embodiments of this application disclose at least the following technical solutions:

[0006] In a first aspect, an embodiment discloses a method for identifying the hypoxia tolerance ability of grass carp populations. The identification method includes:

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

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

[0009] Obtain a hypoxia tolerance identification result according to the blood routine information and the hypoxia tolerance screening model.

[0010] In some embodiments of the first aspect, the blood routine information includes 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.

[0011] In some embodiments of the first aspect, the mathematical expression of the hypoxia tolerance 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] 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 in sequence.

[0016] In some embodiments of the first aspect, the hypoxia tolerance discrimination 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.

[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 this application, "hypoxia" means that the oxygen content in the water body where the grass carp population grows is not higher than 5 mg / L.

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

[0021] In the third aspect, an embodiment discloses a computer device, which includes a processor and a memory. At least one instruction, at least one program, a code set or an instruction set is stored in the memory, 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 as described in the first aspect.

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

[0023] The technical solution of the embodiment of the present application only needs to collect the blood of grass carp for routine blood analysis to obtain routine blood information, and then the hypoxia tolerance ability of grass carp can be judged. Compared with the method that requires operations such as nucleic acid extraction, primer design, PCR reaction, and gene typing, 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 It is a schematic flow chart of a method for identifying the hypoxia tolerance ability of a grass carp population provided by the embodiment.

[0025] Figure 2 It is a schematic flow chart of step S10 provided by the embodiment.

[0026] Figure 3 It is a schematic flow chart of step S20 provided by the embodiment.

[0027] Figure 4 It is a schematic flow chart of step S30 provided by the embodiment.

[0028] Figure 5 It is a visualized display image of the routine blood information provided by the embodiment.

[0029] Figure 6 It is a schematic structural diagram of a device for identifying the hypoxia tolerance ability of a grass carp population provided by the embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the embodiments. 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 specifically described in detail in the present application are all conventional reagents and can be obtained from commercial channels; the methods not specifically described in detail are all conventional test methods and can be known from the prior art.

[0031] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, the "in one embodiment" or "in an embodiment" that appears throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner.

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

[0033] Blood routine refers to judging the blood condition by detecting the quantity change and morphological distribution of blood cells. At present, blood routine tests can be quickly completed by a fully automatic blood cell analyzer. Blood routine examinations include red blood cell count, hemoglobin, white blood cells, platelets, etc., and can usually be divided into three major systems, namely the red blood cell system, the white blood cell system, and the platelet system. A large number of studies have shown that fish can adapt to hypoxic environments by changing blood routine indicators in hypoxic water environments.

[0034] In the present application, blood is collected from the caudal artery, and a fully automatic blood cell analyzer is used to measure the indicators of the red blood cell system, the white blood cell system, and the platelet system. The detection data is screened through judgment and analysis to obtain a group with strong hypoxia tolerance, and the accurate screening of the grass carp population with hypoxia tolerance can be achieved.

[0035] The following will, with reference to the accompanying drawings, through specific embodiments and their application scenarios, elaborate in detail on the method, device, equipment and medium for identifying the hypoxia tolerance ability of grass carp populations provided by the embodiments of the present application.

[0036] See Figure 1 As shown, the method for identifying the hypoxia tolerance ability of the grass carp population includes:

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

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

[0039] S30. Obtain a hypoxia tolerance identification result according to the blood routine information and the hypoxia tolerance screening model.

[0040] The method for identifying the hypoxia tolerance ability of the grass carp population provided by the embodiments of the present application can be applied to an electronic device with an input component, such as a personal computer, a mobile terminal, etc., and no specific limitation is made here. Among them, the input device can be a mouse, a keyboard or a camera.

[0041] It is easy to understand that the blood routine information can correspond to preset operations of the user on the electronic device. For example, the user clicks on the icon of a certain application on the desktop of the electronic device to enter the application interface of the electronic device, and inputs the blood routine information through the mouse and keyboard; or, the electronic device obtains the image information of the user placed in the recognizable area of the camera through its camera device, which will not be listed one by one here. Generally speaking, the above-mentioned blood routine information can be received in a scenario where the ability to tolerate low oxygen needs to be identified.

[0042] In some embodiments, the blood routine information includes 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.

[0043] In some embodiments, the user places the object displaying the blood routine information under the camera, and the electronic device identifies the blood routine information therein through the camera. For example, it identifies 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 therein; and obtains and automatically inputs the identified information into the storage component of the electronic device.

[0044] It should be noted that the specific object shown here can be a document or paper displaying the blood routine information, or any carrier capable of displaying text information. The present application does not make specific limitations on this, and can be selected according to actual needs. For the sake of simplicity of description, in the following embodiments, the blood routine information obtained by photographing an object of the type of document or paper will be mainly used as an example to illustrate the method for identifying the ability to tolerate low oxygen.

[0045] It is easy to understand that a document or paper usually includes a table of various blood routine indicators. The above-mentioned blood routine information is obtained by photographing the document or paper, and thus also has a table of various blood routine indicators. By identifying the table recording the various blood routine indicators and obtaining the blood routine information therefrom, the purpose of identifying the ability to tolerate low oxygen can be achieved.

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

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

[0048] S102: Compare the blood routine characters with preset characters;

[0049] S103: If the blood routine characters are consistent with the preset characters, obtain the blood routine value corresponding to the blood routine characters.

[0050] In some steps of S101, the electronic device captures a file or a piece of paper through its camera to obtain a blood routine image, which is a table recording various blood routine preparations. Each row or column of the table records an index and the value under that index, that is, the blood routine characters and the blood routine values respectively. Specifically, the blood routine indexes 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. The corresponding blood routine characters are "WBC" or "number of white blood cells", "number of lymphocytes" or "Lymph", "number of monocytes" or "Mon", "percentage of neutrophils" or "Gran%", "mean corpuscular volume" or "MCV", "number of platelets" or "PLT". The corresponding blood routine values are the blood routine test values of 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. In addition, the blood routine character also includes "*", and its corresponding blood routine value is empty.

[0051] In some steps of S102, 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 makes a comparison.

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

[0053] In this embodiment, the blood routine information can be recognized according to the blood routine image. Combining the descriptions in the above examples, the blood routine image can be considered to be obtained when the image is displayed on the display screen, or input by the user, or transmitted from other electronic devices. And the blood routine information can be considered to be obtained when the blood routine image is displayed on the display screen, or can be considered to be obtained by the electronic device when executing step S10. The blood routine information is specifically the blood routine value. Therefore, through the method provided by the embodiments of the present application, it is possible to recognize a file or a piece of paper recording blood routine indexes, actively obtain the blood routine image, extract the blood routine characters from the blood routine image, and then compare them with the preset characters, and judge the low dissolved oxygen tolerance ability of grass carp according to the comparison result, improving the accuracy and recognition degree of the judgment and enhancing the low dissolved oxygen tolerance ability identification effect.

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

[0055] S201: Obtain information of multiple grass carp samples with low dissolved oxygen tolerance, information of multiple grass carp samples with medium low dissolved oxygen tolerance, and information of multiple grass carp samples without low dissolved oxygen tolerance. Each said grass carp sample information includes at least one blood routine information and at least one low dissolved oxygen tolerance result;

[0056] S202: Train the Bayesian discriminant function using the information of multiple hypoxia-tolerant grass carp samples, the information of multiple moderately hypoxia-tolerant grass carp samples, and the information of multiple non-hypoxia-tolerant grass carp samples respectively to obtain a hypoxia-tolerant model, a general hypoxia-resistant model, and a non-hypoxia-resistant model respectively;

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

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

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

[0060] S301: Read the blood routine values in the blood routine information and the hypoxia-tolerant screening model;

[0061] S302: Input the read blood routine values into the hypoxia-tolerant screening model to calculate the hypoxia-tolerant discrimination threshold;

[0062] S303: Identify the hypoxia-tolerant ability of the to-be-tested grass carp population according to the hypoxia-tolerant discrimination threshold.

[0063] In some embodiments, the blood routine values include the white blood cell count, lymphocyte count, monocyte count, percentage of neutrophil count, mean corpuscular volume, and platelet count; the mathematical expression of the hypoxia-tolerant 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, where X1, X2, X3, X4, X5, and X6 are the white blood cell count, lymphocyte count, monocyte count, percentage of neutrophil count, mean corpuscular volume, and platelet count in sequence.

[0067] In some embodiments, the hypoxia tolerance discrimination threshold 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 tested grass carp population is a hypoxia-sensitive grass carp population. If the Fc value is the largest among the Fs value, the Fc value, and the Ft value, the tested grass carp population is an intermediate population. If the Ft value is the largest among the Fs value, the Fc value, and the Ft value, the tested grass carp population is a hypoxia-tolerant population.

[0068] In an actual application scenario, the method includes:

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

[0070] The test was carried out in the breeding base of Shengfeng Fisheries Co., Ltd. in Ezhou City, Hubei Province. Grass carp (74.80 ± 23.97 g) with strong vitality and good health were selected and temporarily raised in a concrete pool at a temperature of 25 ± 0.5 °C and a dissolved oxygen of 7.2 ± 0.5 mg / L. After 2 weeks of feeding, 1500 grass carp were randomly selected and placed in a closed container for hypoxia stress treatment. Since fish activities consume oxygen in the water, the oxygen concentration in the water continuously decreases, forming an anoxic environment. The grass carp that are more sensitive to hypoxia will first turn over (turn over: the grass carp loses balance, showing the back facing down and the abdomen facing up). The turned-over individuals were quickly taken out and placed in a normoxic water body (DO > 5 mg / L) for 24 hours of recovery treatment. Referring to the method reported in the literature by Wu Biyin et al. (2022, Genome-wide association analysis of low oxygen adaptation traits in common carp), the first 5% of the 75 grass carp that turned over were defined as the non-hypoxia-tolerant population, the middle 90% of the 1350 grass carp that turned over were defined as the intermediate population, and the last 5% of the 75 grass carp that turned over were defined as the hypoxia-tolerant population. Among them, the intermediate population is neither a non-hypoxia-tolerant population nor a hypoxia-tolerant population, and its hypoxia tolerance ability is between the non-hypoxia-tolerant population and the hypoxia-tolerant population.

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

[0072] Randomly select 50 grass carp from the non-hypoxia-tolerant population, intermediate population, and hypoxia-tolerant population of grass carp respectively. Use 100 mg / L MS-222 (pH 7.5, NaHCO3, buffered) to mildly anesthetize them, and 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 caudal artery and store it at room temperature. Use an automatic blood cell analyzer to measure the blood routine of grass carp in the "whole blood mode" to obtain the blood routine test results. After going through the S10 step as described in the embodiment, the visualized display image of the obtained blood routine information is as Figure 5As shown in the figure. 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 the non-low-oxygen-tolerant group, Fc is the intermediate group, and Ft is the low-oxygen-tolerant group.

[0073] Execute steps S20 and S30 provided in the embodiment. The obtained low-oxygen tolerance discrimination results can be shown in Table 2. As shown in Table 2, 92% of the 50 grass carps that turned over in the first 5% were accurately determined to be the non-low-oxygen-tolerant group, 100% of the 50 grass carps that turned over in the middle 90% were accurately determined to be the intermediate group, and 92% of the 50 grass carps that turned over in the last 5% were accurately determined to be the low-oxygen-tolerant group. The comprehensive discrimination rate was 94.7%.

[0074] Table 2 Low-oxygen tolerance discrimination results provided by an embodiment

[0075]

[0076]

[0077] It should be noted that for the low-oxygen tolerance ability discrimination method provided in the embodiment of the present application, the execution subject can be a low-oxygen tolerance ability discrimination device, or a control unit in the low-oxygen tolerance ability discrimination device for executing the low-oxygen tolerance ability discrimination method. In the embodiment of the present application, taking the low-oxygen tolerance ability discrimination device executing the low-oxygen tolerance ability discrimination method as an example, the low-oxygen tolerance ability discrimination device provided in the embodiment of the present application is described.

[0078] Figure 6 It is a schematic structural diagram of a low-oxygen tolerance ability discrimination device provided in the embodiment of the present application. The low-oxygen tolerance ability discrimination device 800 may include:

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

[0080] The second acquisition unit 82 is used to acquire a low-oxygen tolerance screening model, and the low-oxygen tolerance screening model characterizes the relationship between the blood routine information and the low-oxygen tolerance ability of the grass carp population;

[0081] The discrimination unit 83 is used to obtain a low-oxygen tolerance discrimination result according to the blood routine information and the low-oxygen tolerance 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, and the blood routine image is an image showing blood routine characters and blood routine values. The first comparison module 812 is used to compare the blood routine characters with preset characters. The first output module 813 is used to read the blood routine value corresponding to the consistent blood routine characters and the preset characters.

[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 configured to acquire information of a plurality of grass carp samples with hypoxia tolerance, information of a plurality of grass carp samples with medium hypoxia tolerance, and information of a plurality of grass carp samples without hypoxia tolerance. Each of the grass carp sample information includes at least one blood routine information and at least one hypoxia tolerance result.

[0085] The training module 822 is configured to train the Bayesian discriminant function by using the information of a plurality of grass carp samples with hypoxia tolerance, the information of a plurality of grass carp samples with medium hypoxia tolerance, and the information of a plurality of grass carp samples without hypoxia tolerance, and respectively obtain a hypoxia tolerance model, a general oxygen tolerance model, and a non-oxygen tolerance model.

[0086] The verification module 823 is configured to verify the hypoxia tolerance model, the general oxygen tolerance model, and the non-oxygen tolerance model by using at least one piece of information of grass carp samples with hypoxia tolerance, at least one piece of information of grass carp samples with hypoxia tolerance, and at least one piece of information of grass carp samples without hypoxia tolerance, respectively.

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

[0088] The third reading module 831 is configured to read the blood routine values in the blood routine information and the hypoxia tolerance screening model.

[0089] The third calculation module 832 is configured to input the read blood routine values into the hypoxia tolerance screening model to calculate a hypoxia tolerance discrimination threshold.

[0090] The third discrimination module 833 is configured to discriminate the hypoxia tolerance ability of the grass carp population to be tested according to the hypoxia tolerance discrimination threshold.

[0091] The hypoxia tolerance ability identification device in the embodiments 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 handheld computer, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc., and the non-mobile electronic device can be a server, a Network Attached Storage (NAS), a personal computer (PC), a television (TV), a teller machine, or a self-service machine, etc. The embodiments of the present application do not make specific limitations.

[0092] The hypoxia tolerance ability identification device in the embodiments of the present application can be a device with an operating system. The operating system can be the Android operating system, the iOS operating system, or other possible operating systems. The embodiments of the present application do not make specific limitations.

[0093] The hypoxia tolerance ability identification device provided in the embodiments of the present application can implement each process implemented by the hypoxia tolerance ability identification device in the above-mentioned hypoxia tolerance ability identification method embodiments. To avoid repetition, it will not be elaborated here.

[0094] Optionally, the embodiments of the present application further provide an electronic device, including a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, it implements each process of the above-mentioned hypoxia tolerance ability identification method embodiments and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

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

[0096] The embodiments of the present application further provide a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by the processor, it implements each process of the above-mentioned hypoxia tolerance ability identification method embodiments and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0097] Among them, the processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disc, etc.

[0098] Another embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement each process of the above-described embodiment of the method for identifying hypoxia tolerance ability, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0099] It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, system chip, chip system, or system-on-chip, etc.

[0100] It should be noted that in this article, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including that element. In addition, it should be pointed out that the methods and devices in the embodiments of the present application are not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the reverse order according to the functions involved. For example, the methods described may be performed in an order different from that described, and various steps may 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 embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better embodiment. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the related technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disc), and includes several instructions for causing a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present application.

[0102] As described above, it is only the preferred specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art 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 ability of grass carp populations, comprising: Obtaining the blood routine information of the grass carp population to be tested; Obtaining a hypoxia tolerance screening model, where the hypoxia tolerance screening model characterizes the relationship between the blood routine information and the hypoxia tolerance ability of the grass carp population; Obtaining a hypoxia tolerance identification result according to the blood routine information and the hypoxia tolerance screening model; The blood routine information includes 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 mathematical expression of the hypoxia tolerance 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, where 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 in sequence; 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, then 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, then 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, then the grass carp population to be tested is a hypoxia-tolerant population.

2. According to the identification method described in claim 1, the step of obtaining the blood routine information of the grass carp population to be tested includes: Obtaining a blood routine image, where the blood routine image is an image showing blood routine characters and blood routine values; Comparing the blood routine characters with preset characters; If the blood routine characters are consistent with the preset characters, then obtaining the blood routine values corresponding to the blood routine characters.

3. A device for identifying the hypoxia tolerance ability of grass carp populations, comprising: A first obtaining unit for obtaining the blood routine information of the grass carp population to be tested; A second obtaining unit for obtaining a hypoxia tolerance screening model, where the hypoxia tolerance screening model characterizes the relationship between the blood routine information and the hypoxia tolerance ability of the grass carp population; and A discrimination unit for obtaining a hypoxia tolerance identification result according to the blood routine information and the hypoxia tolerance screening model; The blood routine information includes 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 mathematical expression of the hypoxia tolerance 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, 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 in sequence; the hypoxia tolerance discrimination 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 tested grass carp population 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 tested grass carp population is an intermediate population; if the Ft value is the largest among the Fs value, the Fc value and the Ft value, the tested grass carp population is a hypoxia-tolerant population.

4. A computer device, the computer device includes a processor and a memory, and at least one instruction, at least one program, a code set or an instruction set is stored in the memory, 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 any one of claims 1 to 2.

5. A computer-readable storage medium, at least one instruction, at least one program, a code set or an instruction set is stored in the storage medium, 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 according to any one of claims 1 to 2.

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