Poultry frozen semen-living body linkage breed conservation effect prediction and evaluation method

Abstract

The invention provides a poultry frozen semen-living body linkage breed conservation effect prediction and evaluation method, and belongs to the technical field of poultry breed conservation. According to the poultry frozen semen-living body linkage breed conservation effect prediction and evaluation method, frozen semen-living body linkage breed conservation prediction is achieved through computer information technology simulation, simulation analysis of the method is not interfered by time, environment, physiology and other factors, the bottleneck that actual breed conservation groups are few and lack of repetition is solved, the dynamic change of group genes is known, and the method is suitable for popularization and application. And simulation generations and simulation times can be specified, so that the reliability of a simulation result is improved, and the problem that a traditional breed conservation scheme is not repeated or few in repetition is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of poultry germplasm conservation, and particularly to a method for predicting and evaluating the effect of combined cryopreservation of poultry semen and live animals. Background Art

[0002] China has the richest poultry genetic resources in the world. The "National List of Livestock and Poultry Genetic Resources" (2024 Edition) includes 289 chicken genetic resources, of which 140 are local breeds; 66 duck genetic resources, of which 42 are local breeds; and 43 goose genetic resources, of which 32 are local breeds. Poultry genetic resources are a valuable asset for the livestock industry. In response to the "Opinions of the General Office of the State Council on Strengthening the Protection and Utilization of Agricultural Germplasm Resources", it is necessary to "carry out systematic collection and protection to achieve full protection". The protection of livestock and poultry germplasm resources includes live germplasm conservation and cryopreservation. Live germplasm conservation is carried out in the germplasm conservation farms or protected areas in their original habitats. Live germplasm conservation can not only continue to retain the adaptability of livestock and poultry to the external environment, but also check and eliminate gene deficiencies and improve some undesirable traits during germplasm conservation. It is the most commonly used method for the protection of poultry genetic resources at present. Currently, there are 3 national local chicken breed gene banks and 27 national local chicken resource conservation farms in the country. In recent years, the technology of ultra-low temperature cryopreservation of poultry semen has achieved breakthroughs. After thawing and warming, the semen cryopreserved at ultra-low temperature can restore its fertilization ability. The technology of ultra-low temperature cryopreservation of semen is of great significance in the work of livestock and poultry germplasm conservation and has become another important means for the protection of poultry germplasm resources.

[0003] However, there is no established effective linkage plan for the collection and utilization of ultra-low temperature semen and live germplasm conservation.

[0004] Based on this, a method for predicting and evaluating the effect of combined cryopreservation of poultry semen and live animals is provided, which can guide the establishment and optimization of poultry germplasm conservation plans and promote the further development of poultry conservation technologies. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for predicting and evaluating the effect of combined cryopreservation of poultry semen and live animals, aiming to solve the technical problems that the collection and utilization of ultra-low temperature semen and the live germplasm conservation plan cannot be linked in the existing technology, and the germplasm conservation plan is affected by various realistic factors.

[0006] To achieve the above invention purpose, the present invention provides the following technical solutions:

[0007] The present invention provides a method for predicting and evaluating the effect of combined cryopreservation of poultry semen and live animals, including the following steps:

[0008] (1) Determine the genetic diversity of the initial population;

[0009] (2) Randomly generate an initial population according to the genetic diversity of the population; or use an actual population with known individual genetic variation site information;

[0010] (3) Establish a live conservation plan, a frozen semen collection and restoration plan based on the initial population;

[0011] (4) Based on the live conservation plan, the frozen semen collection and restoration plan, use computer simulation analysis to generate the next-generation conservation population;

[0012] (5) Repeat step (4) to generate a conservation population of a specified generation;

[0013] (6) Calculate the genetic diversity of the population;

[0014] (7) According to the result of step (6), analyze the population distribution and the numerical values of genetic diversity parameters in one simulation terminal generation;

[0015] (8) Specify the number of simulations, repeat steps (4) to (7), generate the analysis results of the population genetic diversity of the specified number of simulations, and predict the effect of the conservation plan based on the analysis results of the population genetic diversity.

[0016] Further, the determination of the genetic diversity of the initial population specifically means specifying a plurality of genetic variation sites, and then specifying the number of variations at each genetic variation site; there is no genetic linkage between the genetic variation sites.

[0017] Further, the method for randomly generating the initial population is: use the R language program R1 to establish a function to randomly generate the initial population.

[0018] Further, the method for establishing the live conservation plan specifically means specifying the number of animals to be retained, the method of retaining animals, and the breeding method for live conservation.

[0019] Further, the method for establishing the frozen semen collection and restoration plan is: specify the methods of frozen semen collection and restoration, and the methods of frozen semen collection and restoration include random collection and restoration, pedigree collection and restoration, and the cycle of frozen semen collection and restoration.

[0020] Further, the specific method for using computer simulation analysis to generate the next-generation protection population is: use the R language program R2 to establish a function to simulate the combined frozen-live conservation and generate the next-generation protection population.

[0021] Further, the generation of the conservation population of a specified generation specifically means specifying the number of generations, and using the for function of the R language program to randomly generate the protection population of the specified generation.

[0022] Further, the genetic diversity of the calculated population is specifically as follows: Use the R language program to write a function R3 to calculate the genetic diversity evaluation index.

[0023] Further, the analysis of the population distribution and genetic diversity parameter values of 1 simulation end generation is specifically as follows: Calculate PIC, Ho, He, Na, Ne, I of the 1 simulation starting generation and end generation, as well as the differences δPIC, δHo, δHe, δNa, δNe, δI between the starting generation and the end generation.

[0024] Further, step (8) is specifically as follows: Calculate PIC, Ho, He, Na, Ne, I of the starting generation and end generation of multiple simulation results, obtain the average value and standard deviation, and evaluate the effect of predicting this frozen semen - live animal linkage conservation plan.

[0025] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0026] The present invention uses computer information technology to simulate and realize the prediction of frozen semen - live animal linkage conservation. The simulation analysis of the method is not interfered by factors such as time, environment, and physiology, solves the bottleneck of few actual conservation populations and lack of repetitions, understands the dynamic changes of population genes, and can specify the number of simulation generations and the number of simulations, improving the reliability of the simulation results and solving the problem of no repetitions or few repetitions in traditional conservation plans;

[0027] In addition, the method of the present invention can analyze and discuss the influence of different conservation strategies on the genetic diversity of the population and the application of frozen semen restoration in the conservation plan, which helps to deeply understand the management and protection of poultry genetic resources and has high popularization and application value in poultry conservation. Description of the Drawings

[0028] Figure 1 It is the flow chart of the method for predicting and evaluating the effect of frozen semen - live animal linkage conservation of poultry described in the present invention;

[0029] Figure 2 It is the population clustering diagram of 100 generations drawn by randomly selecting 1 simulation from 500 simulation analyses in Example 1;

[0030] Figure 3 It is the population clustering diagram of 100 generations drawn by randomly selecting 1 simulation from 500 simulation analyses in Example 2;

[0031] Figure 4 It is the population clustering diagram of 100 generations drawn by randomly selecting 1 simulation from 500 simulation analyses in Example 3;

[0032] Figure 5The population clustering diagram of 100 generations drawn for one simulation randomly selected from the 500 simulation analyses described in Example 4;

[0033] Figure 6 The population clustering diagram of 100 generations drawn for one simulation randomly selected from the 500 simulation analyses described in Example 5;

[0034] Figure 7 The population clustering diagram of 100 generations drawn for one simulation randomly selected from the 500 simulation analyses described in Example 6. Detailed implementation manners

[0035] Now, various exemplary implementation manners of the present invention will be described in detail. This detailed description should not be considered as a limitation to the present invention, but rather as a more detailed description of certain aspects, characteristics, and implementation schemes of the present invention. It should be understood that the terms described in the present invention are only for describing specific implementation manners and are not used to limit the present invention.

[0036] Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present invention pertains. Although the present invention only describes preferred methods, any methods similar or equivalent to those described herein can also be used in the implementation or testing of the present invention.

[0037] Without departing from the scope or spirit of the present invention, various improvements and changes can be made to the specific implementation manners of the specification of the present invention, which are obvious to those skilled in the art. Other implementation manners obtained from the specification of the present invention are obvious to those skilled in the art. The specification and examples of the present invention are only exemplary.

[0038] The present invention provides a method for predicting and evaluating the effect of combined preservation of frozen semen and live poultry, comprising the following steps:

[0039] (1) Determine the genetic diversity of the initial population;

[0040] (2) Randomly generate an initial population according to the population genetic diversity;

[0041] (3) Establish a live poultry preservation plan, a frozen semen collection and restoration plan based on the initial population;

[0042] (4) Based on the live poultry preservation plan, the frozen semen collection and restoration plan, use computer simulation analysis to generate the next-generation preservation population;

[0043] (5) Repeat step (4) to generate the preservation population of the specified generation;

[0044] (6) Calculate the genetic diversity of the population;

[0045] (7) Analyze the population distribution and genetic diversity parameter values of 1 simulated final generation according to the result of step (6).

[0046] (8) Specify the number of simulations, repeat steps (4) to (7), generate the population genetic diversity analysis results for the specified number of simulations, and predict the effect of the conservation plan based on the population genetic diversity analysis results.

[0047] Specifically:

[0048] (1) Determine the genetic diversity of the starting population.

[0049] In the present invention, the determination of the genetic diversity of the starting population specifically means specifying a plurality of genetic variation sites, and then specifying the number of variations at each genetic variation site; there is no genetic linkage between the genetic variation sites.

[0050] (2) Randomly generate a starting population according to the population genetic diversity.

[0051] In the present invention, the method for randomly generating a starting population is: using the R language program R1 to establish a function to randomly generate a starting population, or using an actual population with known individual genetic variation site information as the starting population.

[0052] The specific R1 is:

[0053]

[0054] (3) Based on the starting population, establish a live conservation plan, a frozen semen collection and restoration plan.

[0055] In the present invention, the method for establishing the live conservation plan specifically means specifying the number of animals to be retained, the method of retaining animals, and the breeding method for live conservation.

[0056] In the present invention, the method for establishing the frozen semen collection and restoration plan is: specifying the methods of frozen semen collection and restoration, and the methods of frozen semen collection and restoration include random collection and restoration, pedigree collection and restoration, and the cycle of frozen semen collection and restoration.

[0057] (4) Based on the live conservation plan, the frozen semen collection and restoration plan, use computer simulation analysis to generate the next-generation conservation population.

[0058] In the present invention, the specific method for using computer simulation analysis to generate the next-generation protected population is: using the R language program R2 to establish a function to simulate the combined cryo-live conservation and generate the next-generation protected population.

[0059] The specific R2 in the present invention is:

[0060]

[0061]

[0062] (5) Repeat step (4) to generate the conserved population of the specified generation;

[0063] In the present invention, the generation of the conserved population of the specified generation is specifically as follows: for the specified number of generations, the random generation of the conserved population of the specified generation is implemented using the for function of the R language program.

[0064] (6) Calculate the genetic diversity of the population;

[0065] In the present invention, the calculation of the genetic diversity of the population is specifically as follows: a functional function R3 is written using the R language program to calculate the genetic diversity evaluation index.

[0066] The R3 in the present invention is specifically as follows:

[0067]

[0068] The genetic diversity evaluation indexes in the present invention include polymorphism information content (PIC), observed heterozygosity (Ho), expected heterozygosity (He), mean number of alleles (Na), effective number of alleles (Ne), Shannon index (I), etc. Those skilled in the art can adaptively expand the functional function according to actual needs to increase the number of calculations of genetic indexes.

[0069] (7) According to the result of step (6), analyze the population distribution and the numerical values of genetic diversity parameters of 1 simulation terminal generation;

[0070] In the present invention, the analysis of the population distribution and the numerical values of genetic diversity parameters of 1 simulation terminal generation is specifically to calculate PIC, Ho, He, Na, Ne, I of 1 simulation starting generation and terminal generation, and the differences δPIC, δHo, δHe, δNa, δNe, δI between the starting generation and the terminal generation.

[0071] (8) Specify the number of simulations, repeat steps (4) to (7) to generate the analysis results of the population genetic diversity of the specified number of simulations, and predict the effect of the conservation plan based on the analysis results of the population genetic diversity.

[0072] In the present invention, step (8) specifically calculates PIC, Ho, He, Na, Ne, and I for the starting generation and the final generation of multiple simulation results, obtains the average value and the standard deviation, and evaluates the effect of predicting this frozen semen-living body combined conservation program.

[0073] The technical solutions provided by the present invention will be described in detail below in conjunction with embodiments, but they should not be construed as limiting the protection scope of the present invention.

[0074] Embodiment 1

[0075] (1) Determine the genetic diversity of the starting population; the size of the starting population is 330, including 30 male poultry and 30 female poultry, and 40 genetic variation loci are specified. The number of variations at each genetic variation locus is shown in the following table; there is no genetic linkage between the genetic variation loci.

[0076] Table 1 Table of the number of variations at each genetic variation locus

[0077]

[0078] (2) Randomly generate the starting population according to the population genetic diversity, specifically:

[0079]

[0080]

[0081] (3) Establish a living body conservation program, specifying that the number of breeding stocks for living body conservation is 30 male poultry and 300 female poultry. The breeding stock selection program is random selection, and the mating program is random mating.

[0082] (4) Establish a frozen semen collection and restoration program; specify that the frozen semen collection program is random storage, specify the collection cycle as 5 years, and specify the frozen semen restoration cycle as 5 years.

[0083] (5) According to the frozen-living body combined conservation program established in steps three and four, use the R language program for simulation analysis to generate the next generation of conservation population. Define Freq as 10 and generate the next generation of conservation population, specifically:

[0084]

[0085]

[0086]

[0087] Step six: Loop step five to generate the conservation population of the specified generation; specifically, use the for function of the R language program to randomly generate the conservation population of 100 generations.

[0088] Step 7: Calculate the genetic diversity of the population; the calculation indicators include Polymorphism Information Content (PIC), Observed Heterozygosity (Ho), Expected Heterozygosity (He), Mean Number of Alleles (Na), Effective Number of Alleles (Ne), Shannon Index (I), etc. Use the R language program to establish a function, specifically:

[0089]

[0090] Step 8: According to the results of Step 7, analyze the population distribution within 100 generations of 1 simulation and the numerical values of the genetic diversity parameters in the 100th generation. The results are as Figure 2 shown in Table 2;

[0091] Table 2 Genetic diversity parameter table for the 1st generation and the 100th generation of 1 simulation

[0092]

[0093]

[0094] Step 9: Specify the number of simulations, repeat Steps 5 - 8, generate the analysis results of the population genetic diversity for the specified number of simulations, and evaluate this frozen semen - live animal linkage conservation plan. The specified number of simulations is 500 times. The mean values of the genetic diversity parameters of the 500 - time simulation population in the 100th generation are shown in Table 3;

[0095] Table 3 Genetic diversity parameter table for the 1st generation and the 100th generation of 500 simulations

[0096]

[0097] Example 2

[0098] Step 1: The same as Step 1 of Example 1.

[0099] Step 2: The same as Step 2 of Example 1.

[0100] Step 3: The same as Step 3 of Example 1.

[0101] Step 4: Establish a frozen semen collection and restoration plan; specify the frozen semen collection plan as random preservation, specify the collection cycle as 10 years, and specify the frozen semen restoration cycle as 10 years.

[0102] Step 5: According to the cryopreservation-live animal linkage conservation plan established in Step 3 and Step 4, use the R language program to establish a function to simulate cryopreservation-live animal linkage conservation. Define Freq as 10 to generate the next generation of conservation population.

[0103] Step 6: The same as Step 6 in Example 1.

[0104] Step 7: The same as Step 7 in Example 1.

[0105] Step 8: According to the results of Step 7, analyze the population distribution within 100 generations in 1 simulation and the numerical values of genetic diversity parameters in the 100th generation. The results are shown in Figure 3 and Table 4:

[0106] Table 4 Genetic diversity parameter table for the 1st generation and the 100th generation in 500 simulations

[0107]

[0108] Step 9: The same as Step 9 in Example 1. Specify the number of simulations as 500 times. The mean values of genetic diversity parameters of the 500 simulated populations in the 100th generation are shown in Table 5:

[0109] Table 5 Genetic diversity parameter table for the 1st generation and the 100th generation in 500 simulations

[0110]

[0111] Example 3

[0112] Step 1: The same as Step 1 in Example 1.

[0113] Step 2: The same as Step 2 in Example 1.

[0114] Step 3: The same as Step 3 in Example 1.

[0115] Step 4: Establish a cryopreserved semen collection and restoration plan; specify the cryopreserved semen collection plan as random preservation, specify the collection cycle as 20 years, and specify the cryopreserved semen restoration cycle as 20 years.

[0116] Step 5: According to the cryopreservation-live animal linkage conservation plan established in Step 3 and Step 4, use the R language program to establish a function to simulate cryopreservation-live animal linkage conservation. Define Freq as 10 to generate the next generation of conservation population.

[0117] Step 6: The same as Step 6 in Example 1.

[0118] Step 7: The same as Step 7 in Example 1.

[0119] Step 8: Based on the results of Step 7, analyze the population distribution within 100 generations in one simulation and the numerical values of the genetic diversity parameters in the 100th generation. The results are shown in Figure 4 and Table 6:

[0120] Table 6 Genetic Diversity Parameter Table for the 1st Generation and the 100th Generation in One Simulation

[0121]

[0122] Step 9: The same as Step 9 in Example 1. Specify the number of simulations as 500 times. The mean values of the population genetic diversity parameters for 500 simulations in the 100th generation are shown in Table 7:

[0123] Table 7 Genetic Diversity Parameter Table for the 1st Generation and the 100th Generation in 500 Simulations

[0124]

[0125] Example 4

[0126] Step 1: The same as Step 1 in Example 1.

[0127] Step 2: The same as Step 2 in Example 1.

[0128] Step 3: The same as Step 3 in Example 1.

[0129] Step 4: Establish a frozen semen collection and restoration plan; specify the frozen semen collection plan as random preservation, specify the collection cycle as 25 years, and specify the frozen semen restoration cycle as 25 years.

[0130] Step 5: Based on the frozen-living linkage conservation plan established in Step 3 and Step 4, use the R language program to establish a functional function to simulate the frozen-living linkage conservation, define Freq as 25, and generate the next-generation conservation population.

[0131] Step 6: The same as Step 6 in Example 1.

[0132] Step 7: The same as Step 7 in Example 1.

[0133] Step 8: Based on the results of Step 7, analyze the population distribution within 100 generations in one simulation and the numerical values of the genetic diversity parameters in the 100th generation. The results are shown in Figure 5 and Table 8:

[0134] Table 8 Genetic Diversity Parameter Table for the 1st Generation and the 100th Generation in One Simulation

[0135]

[0136] Step 9: The same as Step 9 in Example 1. Specify the number of simulations as 500 times. The mean values of the population genetic diversity parameters for 500 simulations in the 100th generation are shown in Table 9:

[0137] Table 9 Genetic diversity parameter table for the 1st generation and the 100th generation in 500 simulations

[0138]

[0139]

[0140] Example 5

[0141] Step 1: The same as Step 1 in Example 1.

[0142] Step 2: The same as Step 2 in Example 1.

[0143] Step 3: The same as Step 3 in Example 1.

[0144] Step 4: Establish a cryopreserved semen collection and recovery plan; specify the cryopreserved semen collection plan as random preservation, specify the collection cycle as 50 years, and specify the cryopreserved semen recovery cycle as 50 years.

[0145] Step 5: According to the cryopreservation-live animal linkage conservation plan established in Steps 3 and 4, use the R language program to establish a functional function to simulate the cryopreservation-live animal linkage conservation, define Freq as 50, and generate the next generation of conserved population.

[0146] Step 6: The same as Step 6 in Example 1.

[0147] Step 7: The same as Step 7 in Example 1.

[0148] Step 8: According to the results of Step 7, analyze the population distribution within 100 generations of 1 simulation and the numerical values of the genetic diversity parameters in the 100th generation. The results are shown in Figure 6 and Table 10:

[0149] Table 10 Genetic diversity parameter table for the 1st generation and the 100th generation in 1 simulation

[0150]

[0151] Step 9: The same as Step 9 in Example 1. Specify the number of simulations as 500 times. The mean values of the population genetic diversity parameters for 500 simulations in the 100th generation are shown in Table 11:

[0152] Table 11 Genetic diversity parameter table for the 1st generation and the 100th generation in 500 simulations

[0153]

[0154] Example 6

[0155] Step 1: The same as Step 1 of Embodiment 1.

[0156] Step 2: The same as Step 2 of Embodiment 1.

[0157] Step 3: The same as Step 3 of Embodiment 1.

[0158] Step 4: Establish a frozen semen collection and recovery plan; specify the frozen semen collection plan as random preservation, specify the collection cycle as 150 years, and specify the frozen semen recovery cycle as 150 years. That is, there is no collection and recovery of frozen semen within 100 years.

[0159] Step 5: According to the frozen-living body linkage preservation plan established in Step 3 and Step 4, use the R language program to establish a functional function to simulate the frozen-living body linkage preservation, define Freq as 150, and generate the next generation of preserved population.

[0160] Step 6: The same as Step 6 of Embodiment 1.

[0161] Step 7: The same as Step 7 of Embodiment 1.

[0162] Step 8: According to the results of Step 7, analyze the population distribution within 100 generations of 1 simulation and the numerical values of the genetic diversity parameters of the 100th generation. The results are shown in Figure 7 and Table 12:

[0163] Table 12 Genetic diversity parameter table of the 1st generation and the 100th generation of 1 simulation

[0164]

[0165] Step 9: The same as Step 9 of Embodiment 1. Specify the number of simulations as 500 times. The mean values of the genetic diversity parameters of the 500 simulations of the 100th generation are shown in Table 13:

[0166] Table 13 Genetic diversity parameter table of the 1st generation and the 100th generation of 500 simulations

[0167]

[0168] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for predicting and evaluating the preservation effect of frozen semen - live animal linkage for poultry, characterized in that, It includes the following steps: (1) Determine the genetic diversity of the starting population; (2) Randomly generate a starting population according to the population genetic diversity; (3) Establish a live conservation plan, a frozen semen collection and restoration plan based on the starting population; (4) Based on the live conservation plan, the frozen semen collection and restoration plan, use computer simulation analysis to generate the next generation of conserved population; (5) Repeat step (4) to generate the conserved population of the specified generation; (6) Calculate the genetic diversity of the population; (7) According to the result of step (6), analyze the population distribution and the numerical values of genetic diversity parameters at the end generation of one simulation; (8) Specify the number of simulations, repeat steps (4) to (7), generate the analysis results of population genetic diversity for the specified number of simulations, and predict the effect of the conservation plan based on the analysis results of population genetic diversity.

2. The prediction and evaluation method for the preservation effect of frozen poultry semen - live animal linkage according to claim 1, wherein, The determination of the genetic diversity of the starting population specifically means specifying a plurality of genetic variation sites, and then specifying the number of variations at each genetic variation site; there is no genetic linkage between the genetic variation sites.

3. The method for predicting and evaluating the preservation effect of frozen poultry semen-living body linkage according to claim 1, wherein The method for randomly generating the starting population is: use the R language program R1 to establish a function to randomly generate the starting population; or use an actual population with known individual genetic variation site information as the starting population.

4. The method for predicting and evaluating the preservation effect of frozen poultry semen-living body linkage according to claim 1, wherein, The method for establishing the live conservation plan specifically means specifying the number of breeding animals, the breeding method and the mating method for live conservation.

5. The method for predicting and evaluating the preservation effect of frozen poultry semen-living body linkage according to claim 1, wherein The method for establishing the frozen semen collection and restoration plan is: specify the methods of frozen semen collection and restoration, and the methods of frozen semen collection and restoration include random collection and restoration, pedigree collection and restoration, and the cycle of frozen semen collection and restoration.

6. The method for predicting and evaluating the preservation effect of frozen poultry semen-living body linkage according to claim 1, wherein, The specific method for using computer simulation analysis to generate the next generation of protected population is: use the R language program R2 to establish a function to simulate the combined frozen-live conservation and generate the next generation of protected population.

7. The method for predicting and evaluating the preservation effect of frozen poultry semen-living body linkage according to claim 1, wherein The generation of the conserved population of the specified generation specifically means specifying the number of generations and using the for function of the R language program to randomly generate the protected population of the specified generation.

8. The method for predicting and evaluating the preservation effect of frozen poultry semen-living body linkage according to claim 1, wherein The calculation of the genetic diversity of the population specifically means using the R language program to write a function R3 to calculate the genetic diversity evaluation index.

9. The prediction and evaluation method for the preservation effect of frozen poultry semen - live animal linkage according to claim 1, characterized in that, The analysis of the population distribution and the numerical values of genetic diversity parameters at the end generation of one simulation specifically means calculating PIC, Ho, He, Na, Ne, I at the starting generation and the end generation of one simulation and the differences δPIC, δHo, δHe, δNa, δNe, δI between the starting generation and the end generation.

10. The method for predicting and evaluating the preservation effect of frozen poultry semen-living body linkage according to claim 1, characterized in that, Step (8) specifically means calculating PIC, Ho, He, Na, Ne, I at the starting generation and the end generation of multiple simulation results, obtaining the average value and the standard deviation, and evaluating and predicting the effect of the combined frozen semen-live conservation plan.

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