A method and device for establishing the pedigree of a breeding pig population

Abstract

The present application provides a method and a device for establishing a pedigree of a breeding pig population. The method includes: for each target biological individual among a predetermined number of target biological individuals in a target environment, obtaining the genotype at each target gene locus on the chromosome of the target biological individual; based on the genotypes at each target gene locus on the chromosome of each obtained target biological individual, obtaining the bloodline corresponding to each target biological individual; performing parent-offspring relationship analysis on any two target biological individuals among the predetermined number of target biological individuals to obtain the parent-offspring evaluation value corresponding to the any two target biological individuals; determining parent-offspring pairs based on the parent-offspring evaluation value; determining the genetic relationship of each parent-offspring pair, and establishing a parent-offspring relationship map based on the genetic relationship; establishing a pedigree of the breeding pig population named after the maternal bloodline based on the parent-offspring relationship map and the bloodline corresponding to each leaf node. Through the method and the device, it is possible to facilitate the effective management of the breeding pig population.

Description

Technical Field

[0001] The present application relates to the field of biotechnology, and in particular, to a method and device for establishing a pedigree of a breeding pig population. Background Art

[0002] A pedigree refers to a record that records the members of each generation in a group, the bloodlines of the members of each generation, and the kinship between the members of each generation. In order to effectively manage a breeding pig population, for example, to perform individual mating of breeding pigs and maintain the size of the effective population of breeding pigs, it is usually necessary to establish a pedigree of the breeding pig population.

[0003] However, in the existing solutions for establishing a pedigree of a breeding pig population, when obtaining the bloodlines of the members of each generation in the pedigree, the bloodlines of the male parents are usually used for naming. However, in some conservation populations and small populations, since there are fewer male parents in the breeding pig population, the bloodlines are also relatively scarce. As a result, the bloodlines of the offspring named after the bloodlines of the male parents are also fewer, that is, the bloodlines of the entire breeding pig population in the established pedigree are fewer. In this case, the breeding pig population cannot be effectively managed based on this pedigree. Summary of the Invention

[0004] In view of this, the purpose of the present application is to provide a method and device for establishing a pedigree of a breeding pig population, which can make the number of bloodlines of the entire breeding pig population in the established pedigree relatively large, so as to facilitate subsequent effective management of the breeding pig population based on the established pedigree of the breeding pig population.

[0005] In a first aspect, an embodiment of the present application provides a method for establishing a pedigree of a breeding pig population, and the method for establishing a pedigree of a breeding pig population includes:

[0006] For each target biological individual among a predetermined number of target biological individuals in a target environment, obtain the genotype at each target gene locus on the chromosome of the target biological individual;

[0007] Based on the genotypes at each target gene locus on the chromosome of each obtained target biological individual, construct a biological evolutionary tree corresponding to the predetermined number of target biological individuals in the target environment; the biological evolutionary tree is used to characterize the genetic relationship between each target biological individual; wherein, the biological evolutionary tree includes a plurality of leaf nodes, and each leaf node corresponds to one of the predetermined number of target biological individuals;

[0008] In response to the user's partitioning process on the biological evolutionary tree, obtain at least one leaf node cluster; wherein, each leaf node cluster corresponds to a bloodline, and the bloodline corresponding to each leaf node in each leaf node cluster is the bloodline of the target biological individual corresponding to the leaf node;

[0009] Perform paternity analysis on any two of the predetermined target biological individuals to obtain the paternity evaluation values corresponding to the any two target biological individuals;

[0010] Determine the any two target biological individuals whose paternity evaluation values corresponding to the any two target biological individuals are greater than the predetermined paternity evaluation threshold as paternity pairs;

[0011] Determine the genetic relationship of each paternity pair, and establish a paternity relationship map based on the genetic relationship; the genetic relationship represents the pointing relationship between the maternal parent and the offspring and / or the pointing relationship between the paternal parent and the offspring; the paternity relationship map includes at least one root node and the pointing lines representing the genetic relationship between the root nodes;

[0012] Establish a pedigree system of breeding pigs named after the maternal bloodline based on the paternity relationship map and the bloodline of each target biological individual.

[0013] Optionally, the establishing a pedigree system of breeding pigs named after the maternal bloodline based on the paternity relationship map includes:

[0014] Determine the bloodline of the target biological individual corresponding to the maternal root node without the maternal input pointing line in the paternity relationship map, and use this target biological individual as the maternal ancestor;

[0015] Assign the bloodline of each maternal ancestor to the target biological individuals of the maternal offspring directly or indirectly reproduced by this maternal ancestor in the paternity relationship map;

[0016] Establish a pedigree system of breeding pigs based on the bloodline of the target biological individual of each maternal ancestor, the bloodline of the target biological individual of each maternal offspring, and the genetic relationship in the paternity relationship map.

[0017] Optionally, the performing paternity analysis on any two of the predetermined target biological individuals to obtain the paternity evaluation values corresponding to the any two target biological individuals includes:

[0018] For any two of the predetermined target biological individuals, obtain the birth date information of the any two target biological individuals, and determine the target biological individual of the parent and the target biological individual of the offspring among the any two target biological individuals based on the birth date information;

[0019] For each target gene locus, determine the log-likelihood ratio of the any two target biological individuals at this target gene locus based on the genotype of the target biological individual of the parent among the any two target biological individuals and the genotype of the target biological individual of the offspring at this target gene locus;

[0020] Based on the log-likelihood ratio of any two target biological individuals at each target gene locus, determine the parent-child evaluation value of the any two target biological individuals.

[0021] Optionally, for each target gene locus, based on the genotype of the target biological individual of the parent among the any two target biological individuals and the genotype of the target biological individual of the offspring at the target gene locus, determine the log-likelihood ratio of the any two target biological individuals at the target gene locus, including:

[0022] For each target gene locus, based on the genotype of each target biological individual at the target gene locus obtained, determine the gene frequency of each allele corresponding to the target gene locus;

[0023] For each target gene locus, based on the gene frequency of each allele corresponding to the target gene locus, determine the expected genotype frequency of each genotype corresponding to the target gene locus;

[0024] For each target gene locus, based on the genotype of the target biological individual of the parent among the any two target biological individuals, the genotype of the target biological individual of the offspring at the target gene locus, and the gene frequency of each allele, determine the transition probability;

[0025] Based on the transition probability and the expected genotype frequency corresponding to the genotype of the target biological individual of the offspring at the target gene locus, determine the log-likelihood ratio of the any two target biological individuals at the target gene locus.

[0026] Optionally, the steps for determining the parent-child evaluation threshold include:

[0027] For each target gene locus, based on the gene frequency of each allele corresponding to the target gene locus, randomly generate a maternal genotype for the hypothetical maternal biological individual and a paternal genotype for the hypothetical paternal biological individual corresponding to the target gene locus;

[0028] Based on the maternal genotype and the paternal genotype corresponding to the target gene locus, randomly generate an offspring genotype for the hypothetical offspring biological individual;

[0029] Based on the maternal genotype, the paternal genotype, and the offspring genotype corresponding to the target gene locus, obtain the true parent-child relationship log-likelihood ratio among the hypothetical maternal biological individual, the hypothetical paternal biological individual, and the hypothetical offspring biological individual corresponding to the target gene locus;

[0030] Determine the true parent-child evaluation value based on the log-likelihood ratio of the true parent-child relationship among the assumed maternal biological individual, assumed paternal biological individual, and assumed offspring biological individual corresponding to each target gene locus;

[0031] Repeat the above steps N times, sort the true parent-child evaluation values obtained N times for each target gene locus in descending order, and determine the true parent-child evaluation value corresponding to the product of the number of true parent-child evaluation values in the sorting result and the preset percentage as the parent-child evaluation threshold.

[0032] Optionally, the determination of the genetic relationship of each parent-child pair includes:

[0033] For each parent-child pair, obtain the gender information of each target biological individual in the parent-child pair;

[0034] Based on the gender information, determine the target biological individual of the paternal parent or the target biological individual of the maternal parent in the parent-child pair;

[0035] Based on the target biological individual of the paternal parent, the target biological individual of the maternal parent, and the offspring in the parent-child pair, determine the genetic relationship of each parent-child pair.

[0036] Optionally, after establishing a pedigree of breeding pigs named after the maternal lineage based on the parent-child relationship map, the establishing method further includes:

[0037] For each target biological individual in the pedigree of breeding pigs, obtain the genotype at the predetermined pathogenic gene locus and the genotype at the predetermined dominant gene locus on the chromosome of the target biological individual;

[0038] Screen out the target biological individuals whose genotypes at the pathogenic gene locus are non-homozygous types and whose genotypes at the predetermined dominant gene locus are homozygous types from each target biological individual in the pedigree of breeding pigs, and use the screened target biological individuals whose genotypes at the pathogenic gene locus are non-homozygous types and whose genotypes at the predetermined dominant gene locus are homozygous types as candidate breeding biological individuals;

[0039] For any maternal candidate breeding biological individual and any paternal candidate breeding biological individual among the candidate breeding individuals, determine the genomic kinship coefficient corresponding to the any maternal candidate breeding biological individual and the any paternal candidate breeding biological individual;

[0040] Determine any candidate breeding biological individual of the maternal line obtained and any candidate breeding biological individual of the paternal line whose genomic kinship coefficient corresponding to the candidate breeding biological individual of any maternal line is less than the preset genomic kinship coefficient threshold and the candidate breeding biological individual of any paternal line as a candidate breeding biological individual pair.

[0041] In a second aspect, an embodiment of the present application provides a device for establishing a pedigree of a breeding pig population. The establishment device includes:

[0042] A genotype acquisition module, configured to acquire the genotype of each target gene locus on the chromosome of each target biological individual among a predetermined number of target biological individuals in a target environment.

[0043] An evolutionary tree construction module, configured to construct a biological evolutionary tree corresponding to the predetermined number of target biological individuals in the target environment based on the genotype of each target gene locus on the chromosome of each acquired target biological individual; the biological evolutionary tree is used to represent the genetic relationship between each target biological individual; wherein, the biological evolutionary tree includes a plurality of leaf nodes, and each leaf node corresponds to one of the predetermined number of target biological individuals.

[0044] A clustering module, configured to perform clustering processing on the plurality of leaf nodes included in the biological evolutionary tree according to the genetic relationship to obtain at least one leaf node cluster; wherein, each leaf node cluster corresponds to a bloodline.

[0045] An evaluation value determination module, configured to perform parent-child relationship analysis on any two target biological individuals among the predetermined number of target biological individuals to obtain the parent-child evaluation value corresponding to the any two target biological individuals.

[0046] A parent-child pair determination module, configured to determine any two target biological individuals whose corresponding parent-child evaluation value is greater than a predetermined parent-child evaluation threshold as a parent-child pair.

[0047] A parent-child relationship map establishment module, configured to determine the genetic relationship of each parent-child pair and establish a parent-child relationship map based on the genetic relationship; the genetic relationship represents the pointing relationship between the maternal parent and the offspring and / or the pointing relationship between the paternal parent and the offspring; the parent-child relationship map includes at least one root node and a pointing line representing the genetic relationship between the root nodes.

[0048] A breeding pig population pedigree establishment module, configured to establish a breeding pig population pedigree named after the maternal bloodline based on the parent-child relationship map.

[0049] In a third aspect, an embodiment of the present application provides an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device runs, the processor communicates with the memory through the bus. The processor executes the machine-readable instructions to perform the steps of the method for establishing the pedigree of breeding pig populations according to any one of the first aspects.

[0050] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is run by a processor, it performs the steps of the method for establishing the pedigree of breeding pig populations according to any one of the first aspects.

[0051] For the method and device for establishing the pedigree of breeding pig populations provided by the embodiments of the present application, the bloodlines of members of each generation in the pedigree of breeding pig populations are named after the bloodlines of the female parents. Through this method, it is possible to have a relatively large number of bloodlines in the entire species population in the established pedigree of breeding pig populations, thereby facilitating the subsequent effective management of the species population based on the established pedigree of breeding pig populations.

[0052] To make the above objects, features, and advantages of the present application more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, provides detailed descriptions as follows. Description of the Drawings

[0053] To more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0054] Figure 1 Shows a flowchart of a method for establishing a pedigree of breeding pig populations provided by an embodiment of the present application;

[0055] Figure 2 Shows a flowchart of a method for establishing a pedigree of breeding pig populations provided by another embodiment of the present application;

[0056] Figure 3 Shows a schematic structural diagram of a device for establishing a pedigree of breeding pig populations provided by an embodiment of the present application;

[0057] Figure 4 Shows a schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed Embodiments

[0058] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part rather than all of the embodiments of this application. Generally, the components of the embodiments of this application described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. Based on the embodiments of this application, every other embodiment obtained by those skilled in the art without creative efforts falls within the scope of protection of this application.

[0059] Before this application was proposed, in the prior art solutions for establishing the pedigree of a species population, when obtaining the bloodlines of the members of each generation in the pedigree, the bloodlines were usually named after the sire. However, in this prior art solution, since there are generally fewer sires in the species population, the bloodlines of the sires are also fewer. As a result, the bloodlines of the offspring named after the sire are also fewer, that is, the bloodlines of the entire species population in the established pedigree are fewer. In this case, it will make it impossible to effectively manage the species population based on the established pedigree.

[0060] Based on this, the embodiments of this application provide a method and device for establishing a pedigree, an electronic device, and a storage medium, which can make the number of bloodlines of the entire population in the established pedigree larger, so that the animal and plant population can be effectively managed based on the established pedigree later.

[0061] To facilitate the understanding of the embodiments of this application, first, a method for establishing a pedigree of a breeding pig population disclosed in the embodiments of this application will be introduced in detail.

[0062] Please refer to Figure 1 , Figure 1 which is a flowchart of a method for establishing a pedigree of a breeding pig population provided in the embodiments of this application. As shown Figure 1 in it, the method for establishing a pedigree of a breeding pig population provided in the embodiments of this application includes the following steps:

[0063] S100. For each target biological individual among a predetermined number of target biological individuals in a target environment, obtain the genotype at each target gene locus on the chromosome of the target biological individual.

[0064] As an example, the biological individual information of a predetermined number of target biological individuals can be pre-stored in a database. The biological individual information includes gene information, and the gene information includes the genotype of each target biological individual at each target gene locus on the chromosome. In this step, the genotype of each target biological individual at each target gene locus among the predetermined number of target biological individuals can be obtained from the database.

[0065] Here, as an example, the predetermined number of target biological individuals can be a predetermined number of breeding pigs in a certain target environment. Here, as an example, the target environment can be a farm.

[0066] A gene locus (which can also be called a genetic locus) is a specific position occupied by a gene on a chromosome. Alleles at different gene loci determine different characteristics of each biological individual. In the embodiments of the present application, a predetermined number of gene loci are selected for research based on a plurality of commonly used gene loci. Therefore, the target gene loci are the predetermined number of selected gene loci. It should be noted that the way of selecting the predetermined gene loci is only to teach those skilled in the art how to implement. The embodiments of the present application are not limited to specifically selecting which gene loci, and those skilled in the art can select appropriate gene loci according to the actual situation.

[0067] Genotype refers to the genotype of a certain trait. For example, for a certain target gene locus, the genotype at this target gene locus can include any one of the following items: AA, Aa, aa.

[0068] S200. Based on the genotype of each target biological individual at each target gene locus on the chromosome obtained, construct a biological evolution tree corresponding to the predetermined number of target biological individuals in the target environment.

[0069] Here, the neighbor-joining method in the prior art can be used to construct an evolutionary tree based on the genotype of each target biological individual at each target gene locus. As an example, a distance matrix can be constructed based on the genotype of each target biological individual at each target gene locus, and then an evolutionary tree can be constructed based on the constructed distance matrix. The specific implementation method can refer to the public materials on constructing an evolutionary tree using the neighbor-joining method in the prior art, and the present application will not elaborate here.

[0070] Here, the biological evolution tree is used to represent the genetic relationship between each target biological individual. Among them, the biological evolution tree includes a plurality of leaf nodes, and each leaf node corresponds to one of the predetermined number of target biological individuals.

[0071] S300. In response to the user's partitioning process of the biological evolution tree, obtain at least one leaf node cluster.

[0072] As an example, after obtaining the biological evolutionary tree in step S200, the user can perform a partitioning process on the biological evolutionary tree. Here, the partitioning process is to partition the multiple leaf nodes included in the biological evolutionary tree according to the preset number of lineages to be partitioned and the leaf nodes included in each sub-branch.

[0073] Here, a sub-branch refers to a branch that is only connected to leaf branches at the back.

[0074] In a specific example, if there are a total of 1 - 12 individuals among the leaf nodes in the biological evolutionary tree obtained according to step S200, where 1, 2, and 3 are on the same sub-branch, 4 and 5 are on the same sub-branch, 6, 7, 8, and 9 are on the same sub-branch, and 10, 11, and 12 are on the same sub-branch. When the preset number of lineages to be partitioned is 4, 1, 2, and 3 are partitioned into one leaf node cluster, 4 and 5 are partitioned into one leaf node cluster, 6, 7, 8, and 9 are partitioned into one leaf node cluster, and 10, 11, and 12 are partitioned into one leaf node cluster; when the preset number of lineages to be partitioned is 3, 1, 2, 3, 4, and 5 can be partitioned into one leaf node cluster, 6, 7, 8, and 9 are partitioned into one leaf node cluster, and 10, 11, and 12 are partitioned into one leaf node cluster.

[0075] It should be noted that the above-described partitioning process is only used to teach those skilled in the art how to implement, and the embodiments of the present invention are not limited thereto. The partitioning process can also be performed in other ways. For example, when the preset number of lineages to be partitioned is 3, 1, 2, and 3 can be partitioned into one leaf node cluster, 4, 5, 6, 7, 8, and 9 can be partitioned into one leaf node cluster, and 10, 11, and 12 can be partitioned into one leaf node cluster, as long as the leaf nodes on the same sub-branch are partitioned into the same leaf node cluster.

[0076] As an example, in step S300, one leaf node cluster can be obtained in response to the user partitioning one leaf node cluster, or all leaf node clusters can be obtained in response to the user finishing the partitioning process of the biological evolutionary tree.

[0077] Here, each leaf node cluster corresponds to one lineage, and the lineage corresponding to each leaf node in each leaf node cluster is the lineage of the target biological individual corresponding to the leaf node. For example, if four leaf node clusters are obtained through step S300, then the lineages corresponding to each leaf node cluster can be: A, B, C, and D respectively.

[0078] S400. Perform paternity analysis on any two of the predetermined target biological individuals to obtain the paternity evaluation value corresponding to the any two target biological individuals.

[0079] As an example, this step may include: step S401, step S402, and step S403.

[0080] Step S401: For any two of the predetermined target biological individuals, obtain the birth date information of the any two target biological individuals, and determine the target biological individual that is the parent and the target biological individual that is the offspring among the any two target biological individuals based on the birth date information.

[0081] In this step, for any two of the predetermined target biological individuals, the target biological individual with an earlier birth date is taken as the target biological individual that is the parent, and the target biological individual with a later birth date is taken as the target biological individual that is the offspring.

[0082] Step S402: For each target gene locus, determine the log-likelihood ratio of the any two target biological individuals at the target gene locus based on the genotype of the target biological individual that is the parent and the genotype of the target biological individual that is the offspring among the any two target biological individuals at the target gene locus.

[0083] As an example, this step may include: step S4021, step S4022, and step S4023.

[0084] Step S4021: For each target gene locus, determine the gene frequency of each allele corresponding to the target gene locus based on the genotype of each target biological individual at the target gene locus obtained.

[0085] For example, as an example, if there are three target biological individuals, 001, 002, and 003, and there are 2 target gene loci, LOC1 and LOC2, then for the target gene locus LOC1, the genotype of target biological individual 001 at LOC1 is AA, the genotype of target biological individual 002 at LOC1 is Aa, and the genotype of target biological individual 003 at LOC1 is aa.

[0086] For the target gene locus LOC1, the gene frequency of allele A and the gene frequency of allele a corresponding to the target gene locus LOC1 can be determined respectively using the following formulas (1) and (2):

[0087]

[0088]

[0089] Where N AA is the number of biological individuals with the "AA" genotype at the target gene locus LOC1 among all target biological individuals; N Aais the number of biological individuals with the "Aa" genotype at the target gene locus LOC1 among all target biological individuals; N aa is the number of biological individuals with the "aa" genotype at the target gene locus LOC1 among all target biological individuals.

[0090] Step S4022: For each target gene locus, based on the gene frequencies of each allele corresponding to the target gene locus, determine the expected genotype frequencies of each genotype corresponding to the target gene locus.

[0091] According to the Hardy-Weinberg equilibrium theorem, when the alleles are A and a, and the allele frequencies corresponding to A and a are P A and P a respectively, the expected genotype frequency of genotype AA is P A 2 , the expected genotype frequency of genotype Aa is 2P A P a , and the expected genotype frequency of genotype aa is P a 2 . Therefore, based on the gene frequencies of each allele corresponding to the target gene locus, the expected genotype frequencies of each genotype corresponding to the target gene locus can be determined.

[0092] Step S4023: For each target gene locus, based on the genotypes of the parental target biological individuals, the genotypes of the offspring target biological individuals, and the gene frequencies of each allele at the target gene locus among any two target biological individuals, determine the transition probability.

[0093] Here, the transition probability can be determined using the Mendelian transition probability formula. Assume that there are two alleles a1 and a2 corresponding to any target gene locus, where a1 and a2 can represent two different alleles. For example, a1 and a2 can represent A and a respectively, or a1 and a2 can represent a and A respectively. The allele frequencies corresponding to a1 and a2 are P a1 and P a2 respectively. In this case, the Mendelian transition probability formula is:

[0094] T(a1a1∣a1a1,-) = P a1

[0095] T(a1a1∣a1a2,-) = 0.5P a1

[0096] T(a1a2∣a1a1,-) = P a2

[0097] T(a1a2∣a1a2,-)&=0.5(P a1 +P a2 )

[0098] Among them, in a population in Hardy-Weinberg equilibrium, T(a1a1∣a1a1,-) represents the probability that the genotype of the offspring is a1a1 is P when the genotype of one parent is a1a1 and the genotype of the other parent is unknown a1 ; T(a1a1∣a1a2,-) represents the probability that the genotype of the offspring is a1a1 is 0.5P when the genotype of one parent a1a2 is known and the genotype of the other is unknown a1 ; T(a1a2∣a1a1,-) represents the probability that the genotype of the offspring is a1a2 is P when the genotype of one parent a1a1 is known and the genotype of the other parent is unknown a2 ; T(a1a2∣a1a2,-) represents the probability that the genotype of the offspring is a1a2 is 0.5(P a1 +P a2 ).

[0099] Step S4024: Based on the transfer probability and the expected genotype frequency corresponding to the genotype of the target biological individual of the offspring at the target gene locus, determine the log-likelihood ratio of the any two target biological individuals at the target gene locus

[0100] For example, the log-likelihood ratio LOD(g c ,g p ) of the any two target biological individuals at the target gene locus can be determined by using the following formula

[0101]

[0102] Among them, Pr(g c ) represents the genotype frequency of the genotype g c of the target biological individual C of the offspring among the any two target biological individuals; T(g c ∣g p ,-) represents the transfer probability from the parent p with the genotype g p to the offspring C with the genotype g c .

[0103] S403: Based on the log-likelihood ratio of the any two target biological individuals at each target gene locus, determine the parent-child evaluation value of the any two target biological individuals

[0104] For example, based on the log-likelihood ratio of any two target biological individuals at each target gene locus, the parentage evaluation value S of any two target biological individuals can be determined according to the following formula:

[0105]

[0106] where LOD n (g A ,g B ) represents the log-likelihood ratio of the nth target gene locus; k represents the total number of target gene loci.

[0107] S500. Determine any two target biological individuals whose obtained parentage evaluation values corresponding to any two target biological individuals are greater than a predetermined parentage evaluation threshold as parent-offspring pairs.

[0108] Here, the parentage evaluation threshold can be determined through the following steps:

[0109] Step (1): For each target gene locus, based on the gene frequencies of each allele corresponding to this target gene locus, randomly generate a maternal genotype for a hypothetical maternal biological individual and a paternal genotype for a hypothetical paternal biological individual corresponding to this target gene locus.

[0110] Step (2): Based on the maternal genotype and the paternal genotype corresponding to this target gene locus, randomly generate an offspring genotype for a hypothetical offspring biological individual corresponding to this target gene locus;

[0111] Step (3): Based on the maternal genotype, the paternal genotype, and the offspring genotype corresponding to this target gene locus, obtain the true parentage relationship log-likelihood ratio among the hypothetical maternal biological individual, the hypothetical paternal biological individual, and the hypothetical offspring biological individual corresponding to this target gene locus.

[0112] Here, for example, the following formula can be used to determine the true parentage relationship log-likelihood ratio LOD(g

[0113] among the hypothetical maternal biological individual, the hypothetical paternal biological individual, and the hypothetical offspring biological individual corresponding to this target gene locus c ,g m ,g f ):

[0114]

[0115] where Pr(g c ) represents the expected genotype frequency corresponding to the genotype g c of the hypothetical offspring biological individual at this target gene locus; T(g c∣g m ,g f ,) represents the transition probability from parent m with genotypes g m and g f to offspring c with genotype g c .

[0116] Here, T(g c ∣g m ,g f ,) can be obtained through the Mendelian transition probability formula, which is a formula in the prior art. Therefore, it will not be elaborated herein in this application.

[0117] Step (4), based on the true parent-offspring relationship log-likelihood ratio among the assumed maternal biological individual, assumed paternal biological individual, and assumed offspring biological individual corresponding to each target gene locus, determine the true parent-offspring evaluation value;

[0118] For example, the true parent-offspring evaluation value S’ can be determined using the following formula:

[0119]

[0120] where LOD n (g c ,g m ,g f ,)′ represents the true parent-offspring relationship log-likelihood ratio of the nth target gene locus; k represents the total number of target gene loci. Repeat the above steps (1)-(4) N times, sort the true parent-offspring evaluation values obtained for each target gene locus in descending order, and determine the parent-offspring evaluation threshold as the true parent-offspring evaluation value corresponding to the product of the number of true parent-offspring evaluation values in the sorting result and the preset percentage.

[0121] Here, the value of N is selected according to the actual situation. For example, N can be 10000. The preset percentage is also selected according to the actual situation. For example, the preset percentage can be 5%.

[0122] Next, a specific example will be used to introduce how to determine the parent-offspring evaluation threshold.

[0123] For example, if there are LOC1, LOC2, and LOC3 in total at the target gene locus, and for the target gene locus LOC1, the gene frequency of allele A at this target gene locus is 0.7, and the gene frequency of allele a is 0.3. First, based on the gene frequency of allele A being 0.7 and the gene frequency of allele a being 0.3, a maternal genotype Aa of a hypothetical maternal biological individual and a paternal genotype AA of a hypothetical paternal biological individual can be sampled and generated. Then, based on the maternal genotype Aa and the paternal genotype AA, a filial genotype AA for a hypothetical filial biological individual is randomly generated. Then, based on the maternal genotype Aa, the paternal genotype AA, and the filial genotype AA, the log-likelihood ratio of the true parent-child relationship among the hypothetical maternal biological individual, the hypothetical paternal biological individual, and the hypothetical filial biological individual is obtained. Then, for LOC2 and LOC3, the log-likelihood ratio of the true parent-child relationship is calculated for each, and then the true parent-child evaluation value S’ is calculated. Repeat this 10,000 times, that is, 10,000 true parent-child evaluation values are obtained. Sort the 10,000 true parent-child evaluation values from largest to smallest, and determine the true parent-child evaluation value ranked 5%, that is, the true parent-child evaluation value ranked 500, as the parent-child evaluation threshold.

[0124] S600. Determine the genetic relationship of each parent-child pair, and establish a parent-child relationship map based on the genetic relationship.

[0125] As an example, the genetic relationship of each parent-child pair can be determined through the following steps.

[0126] Step (a). For each parent-child pair, obtain the gender information of each target biological individual in this parent-child pair. Here, the gender information includes maternal and paternal.

[0127] Step (b). Based on the gender information, determine the target biological individual of the paternal parent in this parent-child pair or the target biological individual of the maternal parent in this parent-child pair.

[0128] Here, since the birth date information of any two target biological individuals among the predetermined target biological individuals has been determined previously, the target biological individual of the parent and the target biological individual of the offspring among the two target biological individuals in each parent-child pair can be determined. Then, further based on the gender information, the target biological individual of the paternal parent in this parent-child pair or the target biological individual of the maternal parent in this parent-child pair can be determined.

[0129] Step (c). Based on the target biological individual of the paternal parent in this parent-child pair, the target biological individual of the maternal parent in this parent-child pair, and the offspring in this parent-child pair, determine the genetic relationship of each parent-child pair.

[0130] Here, the consanguinity relationship represents the pointing relationship between the maternal parent and the offspring and / or the pointing relationship between the paternal parent and the offspring. For example, if a parent-offspring pair includes a paternal parent and an offspring, the pointing relationship can be from the paternal parent to the offspring; if a parent-offspring pair includes a maternal parent and an offspring, the pointing relationship can be from the maternal parent to the offspring.

[0131] Further, after determining the consanguinity relationship of each parent-offspring pair, in step S600, all the parent-offspring pairs are linked based on the consanguinity relationship to establish a parent-offspring relationship map.

[0132] Here, the parent-offspring relationship map includes at least one root node and the pointing lines representing the consanguinity relationship between the root nodes. Each root node represents a target biological individual. The direction of the pointing lines includes from the maternal parent to the offspring and from the paternal parent to the offspring.

[0133] S700. Establish a pedigree system of breeding pigs named after the maternal bloodline based on the parent-offspring relationship map and the bloodline of each target biological individual.

[0134] Please refer to Figure 2 , Figure 2 which shows a flowchart of a method for establishing a pedigree system of breeding pigs provided by another embodiment of the present application;

[0135] As Figure 2 shown, step S700 may include step S701, step S702, and step S703.

[0136] Step S701. Determine the bloodline of the target biological individual corresponding to the maternal root node without a maternal input pointing line in the parent-offspring relationship map, and use this target biological individual as the maternal ancestor.

[0137] Here, the maternal input pointing line is the pointing line from the maternal parent to the offspring, and the maternal root node is the node corresponding to the target biological individual with a female gender, that is, the maternal root node without a maternal input pointing line has no maternal parent in this parent-offspring relationship map. Therefore, this maternal root node can be used as the maternal ancestor of other target biological individuals.

[0138] Step S702. Assign the bloodline of each maternal ancestor to the target biological individuals of the maternal offspring directly or indirectly reproduced by this maternal ancestor in the parent-offspring relationship map.

[0139] Since the bloodline of each target biological individual has been determined previously, the bloodline of each maternal ancestor can be obtained.

[0140] Here, the target biological individual of the maternal offspring directly reproduced by the maternal ancestor is the daughter of the maternal ancestor, and the target biological individuals of the maternal offspring indirectly reproduced by the maternal ancestor are the granddaughter, great-granddaughter, and so on of the maternal ancestor. Here, after endowing the bloodline of the maternal ancestor to the target biological individual of the maternal offspring directly reproduced by the maternal ancestor, the bloodline of the target biological individual of the maternal offspring directly reproduced can be endowed to the target biological individual of the corresponding next-generation maternal offspring. In this way, the purpose of naming the bloodline of the target biological individual after the maternal parent is achieved.

[0141] In addition, the bloodline of each maternal ancestor can also be endowed to the target biological individual of the paternal offspring directly or indirectly reproduced by the maternal ancestor in the kinship map. Step S703: Based on the bloodline of the target biological individual of each maternal ancestor, the bloodline of the target biological individual of each maternal offspring, and the kinship in the kinship map, establish a pedigree of the breeding pig population.

[0142] Since the number of maternal species individuals in the species population is generally large, naming the bloodline after the maternal parent can increase the number of bloodlines of the entire population of target species individuals in the established pedigree of the breeding pig population, so that the plant and animal population can be effectively managed according to the established pedigree of the breeding pig population in the follow-up.

[0143] In addition, after establishing the pedigree of the breeding pig population, if other offspring are born from the reproduction between the predetermined target biological individuals in the pedigree of the breeding pig population, the pedigree can be updated after obtaining the information corresponding to the newly reproduced offspring to achieve the transmission of the maternal bloodline.

[0144] Further, please refer to Figure 3 , Figure 3 which shows a flowchart of a method for establishing a pedigree of a breeding pig population provided by another embodiment of the present application.

[0145] As Figure 3 shown, after establishing the pedigree of the breeding pig population named after the maternal bloodline based on the kinship map, the establishing method further includes:

[0146] S800: For each target biological individual in the pedigree of the breeding pig population, obtain the genotype at the predetermined pathogenic gene locus and the genotype at the predetermined advantageous gene locus on the chromosome of the target biological individual.

[0147] Here, the predetermined pathogenic gene locus is selected according to the actual situation, and the predetermined advantageous gene locus is also selected according to the actual situation.

[0148] S900. Select target biological individuals from each target biological individual in the pedigree of the breeding pig population, where the genotypes at the pathogenic gene loci are non-homozygous types and the genotypes at the predetermined dominant gene loci are homozygous types, and use the selected target biological individuals with non-homozygous genotypes at the pathogenic gene loci and homozygous genotypes at the predetermined dominant gene loci as candidate breeding biological individuals.

[0149] Here, the homozygous type means that the two alleles at a gene locus are the same. For example, homozygosity can be AA or aa, and the non-homozygous type means that the two alleles at a gene locus are different. For example, non-homozygosity can be Aa.

[0150] S1000. For any candidate breeding biological individual of a maternal line and any candidate breeding biological individual of a paternal line among the candidate breeding individuals, determine the genomic kinship coefficient corresponding to the any candidate breeding biological individual of the maternal line and the any candidate breeding biological individual of the paternal line.

[0151] Here, the genomic kinship coefficient corresponding to the any candidate breeding biological individual of the maternal line and the any candidate breeding biological individual of the paternal line can be determined by the following formula:

[0152]

[0153] Where Z is the incidence of the marker matrix, Z = M - P, M is the SNP conversion matrix, where AA, Aa, and aa are respectively converted to 0, 1, 2, and P is the minor allele frequency matrix; p i is the gene frequency of the minor allele at the i-th target gene locus.

[0154] S1100. Determine the any candidate breeding biological individual of the maternal line and the any candidate breeding biological individual of the paternal line whose genomic kinship coefficients corresponding to the any candidate breeding biological individual of the maternal line and the any candidate breeding biological individual of the paternal line are less than the preset genomic kinship coefficient threshold as a pair of candidate breeding biological individuals.

[0155] Here, the preset genomic kinship coefficient threshold is selected according to the actual situation. Preferably, the genomic kinship coefficient threshold can be 0.1.

[0156] In this way, inbreeding between target biological individuals in the pedigree of the breeding pig population can be avoided, thereby maintaining the richness of the population genes.

[0157] Based on the same inventive concept, an apparatus for establishing a pedigree of a breeding pig population corresponding to the above method for establishing a pedigree of a breeding pig population is also provided in an embodiment of the present application.

[0158] SeeFigure 3 As shown Figure 3 FIG. is a schematic structural diagram of an apparatus for establishing a pedigree of a breeding pig population provided by an embodiment of the present application. The apparatus 300 for establishing a pedigree of a breeding pig population includes:

[0159] A genotype acquisition module 310, configured to acquire, for each target biological individual among a predetermined number of target biological individuals in a target environment, the genotype at each target gene locus on the chromosome of the target biological individual;

[0160] An evolutionary tree construction module 320, configured to construct an evolutionary tree corresponding to the predetermined number of target biological individuals in the target environment based on the genotypes at each target gene locus on the chromosome of each acquired target biological individual; the evolutionary tree is used to characterize the genetic relationship between each target biological individual; wherein, the evolutionary tree includes a plurality of leaf nodes, and each leaf node corresponds to one of the predetermined number of target biological individuals;

[0161] A clustering module 330, configured to obtain at least one leaf node cluster in response to a partitioning process of the user on the evolutionary tree; wherein, each leaf node cluster corresponds to a bloodline, and the bloodline corresponding to each leaf node in each leaf node cluster is the bloodline of the target biological individual corresponding to the leaf node;

[0162] An evaluation value determination module 340, configured to perform parent - child relationship analysis on any two of the predetermined number of target biological individuals to obtain a parent - child evaluation value corresponding to the any two target biological individuals;

[0163] A parent - child pair determination module 350, configured to determine as a parent - child pair the any two target biological individuals for which the parent - child evaluation value corresponding to the any two target biological individuals is greater than a predetermined parent - child evaluation threshold;

[0164] A parent - child relationship map establishment module 360, configured to determine the genetic relationship of each parent - child pair and establish a parent - child relationship map based on the genetic relationship; the genetic relationship represents the pointing relationship between the maternal parent and the offspring and / or the pointing relationship between the paternal parent and the offspring; the parent - child relationship map includes at least one root node and the pointing lines representing the genetic relationship between the root nodes;

[0165] A breeding pig population pedigree establishment module 370, configured to establish a breeding pig population pedigree named after the maternal bloodline based on the parent - child relationship map and the bloodline of each target biological individual.

[0166] In a possible implementation manner, the evaluation value determination module 340 is specifically configured to:

[0167] For any two target biological individuals among the predetermined number of target biological individuals, obtain the birth date information of the two target biological individuals, and based on the birth date information, determine the target biological individual of the parent and the target biological individual of the offspring among the two target biological individuals;

[0168] For each target gene locus, based on the genotype of the target biological individual of the parent among the two target biological individuals at the target gene locus and the genotype of the target biological individual of the offspring at the target gene locus, determine the log-likelihood ratio of the two target biological individuals at the target gene locus;

[0169] Based on the log-likelihood ratio of the two target biological individuals at each target gene locus, determine the parent-offspring evaluation value of the two target biological individuals.

[0170] In a possible implementation manner, the evaluation value determination module 340 is specifically configured to:

[0171] For each target gene locus, based on the genotype of each target biological individual at the target gene locus obtained, determine the gene frequency of each allele corresponding to the target gene locus;

[0172] For each target gene locus, based on the gene frequency of each allele corresponding to the target gene locus, determine the expected genotype frequency of each genotype corresponding to the target gene locus;

[0173] For each target gene locus, based on the genotype of the target biological individual of the parent among the two target biological individuals at the target gene locus, the genotype of the target biological individual of the offspring at the target gene locus, and the gene frequency of each allele, determine the transition probability;

[0174] Based on the transition probability and the expected genotype frequency corresponding to the genotype of the target biological individual of the offspring at the target gene locus, determine the log-likelihood ratio of the two target biological individuals at the target gene locus.

[0175] In a possible implementation manner, the device 300 for establishing the pedigree of the breeding pig population further includes: a parent-offspring evaluation threshold determination module 380 (not shown in Figure 3 ), and the parent-offspring evaluation threshold determination module 380 is used to:

[0176] For each target gene locus, based on the gene frequency of each allele corresponding to the target gene locus, randomly generate a maternal genotype corresponding to the target gene locus for the hypothetical maternal biological individual and a paternal genotype corresponding to the target gene locus for the hypothetical paternal biological individual;

[0177] Based on the maternal genotype and the paternal genotype corresponding to the target gene locus, a filial genotype for a hypothetical filial individual is randomly generated;

[0178] Based on the maternal genotype, the paternal genotype and the filial genotype corresponding to the target gene locus, a true parent - child relationship logarithmic likelihood ratio parent - child evaluation value between the hypothetical maternal individual, the hypothetical paternal individual and the hypothetical filial individual corresponding to the target gene locus is obtained;

[0179] Based on the true parent - child relationship logarithmic likelihood ratios between the hypothetical maternal individual, the hypothetical paternal individual and the hypothetical filial individual corresponding to each target gene locus, a true parent - child evaluation value is determined;

[0180] The above steps are repeated N times. The true parent - child evaluation values obtained for each target gene locus in N times are sorted in descending order, and the true parent - child evaluation value corresponding to the product of the number of true parent - child evaluation values in the sorting result and the preset percentage is determined as the parent - child evaluation threshold.

[0181] In a possible implementation manner, the parent - child relationship map establishment module 360 is specifically configured to:

[0182] For each parent - child pair, obtain the gender information of each target individual in the parent - child pair;

[0183] Based on the gender information, determine the target individual of the paternal parent or the target individual of the maternal parent in the parent - child pair;

[0184] Based on the target individual of the paternal parent, the target individual of the maternal parent and the filial in the parent - child pair, determine the genetic relationship of each parent - child pair.

[0185] In a possible implementation manner, the pedigree establishment module 370 of the breeding pig population is specifically configured to:

[0186] Determine the bloodline of the target individual corresponding to the maternal root node without a maternal input pointing line in the parent - child relationship map, and use this target individual as the maternal ancestor;

[0187] Assign the bloodline of each maternal ancestor to the target individuals of the maternal offspring directly or indirectly reproduced by this maternal ancestor in the parent - child relationship map;

[0188] Based on the bloodlines of the target individuals of each maternal ancestor, the bloodlines of the target individuals of each maternal offspring and the genetic relationships in the parent - child relationship map, establish a pedigree of the breeding pig population.

[0189] In a possible implementation, the apparatus for establishing the pedigree of the breeding pig population further includes a mating selection module 390 (not shown in Figure 3 ), and the mating selection module 390 is specifically configured to:

[0190] For each target biological individual in the pedigree of the breeding pig population, obtain the genotype at a predetermined pathogenic gene locus and the genotype at a predetermined dominant gene locus on the chromosome of the target biological individual;

[0191] Screen out target biological individuals with a non-homozygous genotype at the pathogenic gene locus and a homozygous genotype at the predetermined dominant gene locus from each target biological individual in the pedigree of the breeding pig population, and use the screened target biological individuals with a non-homozygous genotype at the pathogenic gene locus and a homozygous genotype at the predetermined dominant gene locus as candidate breeding biological individuals;

[0192] For any candidate breeding biological individual of the maternal line and any candidate breeding biological individual of the paternal line among the candidate breeding individuals, determine the genomic kinship coefficient corresponding to the any candidate breeding biological individual of the maternal line and the any candidate breeding biological individual of the paternal line;

[0193] Determine the any candidate breeding biological individual of the maternal line and the any candidate breeding biological individual of the paternal line with the genomic kinship coefficient corresponding to the any candidate breeding biological individual of the maternal line and the any candidate breeding biological individual of the paternal line less than a preset genomic kinship coefficient threshold as a candidate breeding biological individual pair.

[0194] The apparatus for establishing the pedigree of the breeding pig population provided by the embodiments of the present application names the bloodlines of the members of each generation in the pedigree of the breeding pig population with the bloodlines of the female parents, which can make the number of bloodlines of the entire species population in the established pedigree of the breeding pig population relatively large, thus facilitating the subsequent effective management of the species population according to the established pedigree of the breeding pig population.

[0195] Please refer to Figure 4 , Figure 4 , which is a schematic structural diagram of an electronic device provided by the embodiments of the present application. As Figure 4 shown in, the electronic device 400 includes a processor 410, a memory 420, and a bus 430.

[0196] The memory 420 stores machine-readable instructions executable by the processor 410. When the electronic device 400 runs, the processor 410 communicates with the memory 420 through the bus 430. When the machine-readable instructions are executed by the processor 410, the steps of the method for establishing the pedigree of the breeding pig population in the above method embodiments can be executed. The specific implementation manners can be referred to the method embodiments and will not be elaborated here.

[0197] The embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it can execute the steps of the method for establishing the pedigree of breeding pig populations in the above method embodiments. The specific implementation manner can be referred to the method embodiments and will not be elaborated here.

[0198] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0199] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some communication interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0200] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0201] In addition, in each embodiment of the present application, the functional units can be integrated in one processing unit, or each unit exists physically alone, or two or more units are integrated in one unit.

[0202] When the above-mentioned functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0203] Finally, it should be noted that: the above-mentioned embodiments are only specific implementation manners of this application, used to illustrate the technical solution of this application, rather than limiting it. The protection scope of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the art within the technical scope disclosed in this application can still modify the technical solutions recorded in the foregoing embodiments or can easily think of changes, or perform equivalent replacements on some of the technical features; and these modifications, changes, or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered by the protection scope of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.

Claims

1. A method for establishing a pedigree of a breeding pig population, characterized in that, The establishment method includes: For each target biological individual among the predetermined number of target biological individuals in the target environment, obtain the genotype at each target gene locus on the chromosome of the target biological individual; Based on the genotypes at each target gene locus on the chromosome of each obtained target biological individual, construct a biological evolutionary tree corresponding to the predetermined number of target biological individuals in the target environment; the biological evolutionary tree is used to represent the genetic relationship proximity between each target biological individual; wherein, the biological evolutionary tree includes multiple leaf nodes, and each leaf node corresponds to one of the predetermined number of target biological individuals; In response to the user's partitioning process on the biological evolutionary tree, obtain at least one leaf node cluster; wherein, each leaf node cluster corresponds to a bloodline, and the bloodline corresponding to each leaf node in each leaf node cluster is the bloodline of the target biological individual corresponding to the leaf node; Perform parent-child relationship analysis on any two target biological individuals among the predetermined number of target biological individuals to obtain the parent-child evaluation value corresponding to the any two target biological individuals; Determine as parent-child pairs those any two target biological individuals for which the obtained parent-child evaluation value corresponding to the any two target biological individuals is greater than a predetermined parent-child evaluation threshold; Determine the genetic relationship of each parent-child pair, and establish a parent-child relationship map based on the genetic relationship; the genetic relationship represents the pointing relationship between the maternal parent and the offspring and / or the pointing relationship between the paternal parent and the offspring; the parent-child relationship map includes at least one root node and the pointing lines representing the genetic relationship between the root nodes; Based on the parent-child relationship map and the bloodline of each target biological individual, establish a pedigree system of breeding pigs named after the maternal bloodline.

2. The establishment method according to claim 1, characterized in that The establishing a pedigree system of breeding pigs named after the maternal bloodline based on the parent-child relationship map and the bloodline corresponding to each leaf node includes: Determine the bloodline of the target biological individual corresponding to the maternal root node in the parent-child relationship map that has no maternal input pointing line, and use this target biological individual as the maternal ancestor; Assign the bloodline of each maternal ancestor to the target biological individuals of the maternal offspring directly or indirectly reproduced by the maternal ancestor in the parent-child relationship map; Based on the bloodline of the target biological individuals of each maternal ancestor, the bloodline of the target biological individuals of each maternal offspring, and the genetic relationship in the parent-child relationship map, establish a pedigree system of breeding pigs.

3. The establishment method according to claim 1, characterized in that, The performing parent-child relationship analysis on any two target biological individuals among the predetermined number of target biological individuals to obtain the parent-child evaluation value corresponding to the any two target biological individuals includes: For any two target biological individuals among the predetermined number of target biological individuals, obtain the birth date information of the any two target biological individuals, and based on the birth date information, determine the target biological individual of the parent and the target biological individual of the offspring among the any two target biological individuals; For each target gene locus, based on the genotypes of the target biological individuals of the parents among any two target biological individuals and the genotypes of the target biological individuals of the offspring at this target gene locus, determine the log-likelihood ratio of any two target biological individuals at this target gene locus; Based on the log-likelihood ratios of any two target biological individuals at each target gene locus, determine the parent-offspring evaluation value of any two target biological individuals.

4. The establishment method according to claim 3, characterized in that, The step of, for each target gene locus, based on the genotypes of the target biological individuals of the parents among any two target biological individuals and the genotypes of the target biological individuals of the offspring at this target gene locus, determining the log-likelihood ratio of any two target biological individuals at this target gene locus includes: For each target gene locus, based on the genotypes of each target biological individual obtained at this target gene locus, determine the gene frequencies of each allele corresponding to this target gene locus; For each target gene locus, based on the gene frequencies of each allele corresponding to this target gene locus, determine the expected genotype frequencies of each genotype corresponding to this target gene locus; For each target gene locus, based on the genotypes of the target biological individuals of the parents among any two target biological individuals, the genotypes of the target biological individuals of the offspring at this target gene locus, and the gene frequencies of each allele, determine the transition probability; Based on the transition probability and the expected genotype frequency corresponding to the genotype of the target biological individual of the offspring at this target gene locus, determine the log-likelihood ratio of any two target biological individuals at this target gene locus.

5. The establishment method according to claim 4, wherein The steps of determining the parent-offspring evaluation threshold include: For each target gene locus, based on the gene frequencies of each allele corresponding to this target gene locus, randomly generate a maternal genotype for the hypothetical maternal biological individual and a paternal genotype for the hypothetical paternal biological individual corresponding to this target gene locus; Based on the maternal genotype and the paternal genotype corresponding to this target gene locus, randomly generate an offspring genotype for the hypothetical offspring biological individual; Based on the maternal genotype, the paternal genotype, and the offspring genotype corresponding to this target gene locus, obtain the true parent-offspring relationship log-likelihood ratio among the hypothetical maternal biological individual, the hypothetical paternal biological individual, and the hypothetical offspring biological individual corresponding to this target gene locus; Based on the true parent-offspring relationship log-likelihood ratios among the hypothetical maternal biological individual, the hypothetical paternal biological individual, and the hypothetical offspring biological individual corresponding to each target gene locus, determine the true parent-offspring evaluation value; Repeat the above steps N times, sort the true parent-offspring evaluation values obtained for each target gene locus in descending order, and determine the true parent-offspring evaluation value corresponding to the product of the number of true parent-offspring evaluation values in the sorting result and the preset percentage as the parent-offspring evaluation threshold.

6. The establishment method according to claim 3, characterized in that, The determination of the genetic relationship of each parent-offspring pair includes: For each parent - child pair, obtain the gender information of each target biological individual in the parent - child pair; Based on the gender information, determine the target biological individual of the paternal parent or the target biological individual of the maternal parent in the parent - child pair; Based on the target biological individual of the paternal parent, the target biological individual of the maternal parent, and the offspring in the parent - child pair, determine the genetic relationship of each parent - child pair.

7. The establishment method according to claim 1, wherein After establishing a pedigree of breeding pigs named after the maternal lineage based on the genetic relationship map, the establishing method further includes: For each target biological individual in the pedigree of breeding pigs, obtain the genotype at a predetermined pathogenic gene locus and the genotype at a predetermined advantageous gene locus on the chromosome of the target biological individual; Screen out the target biological individuals whose genotype at the pathogenic gene locus is non - homozygous and whose genotype at the predetermined advantageous gene locus is homozygous from each target biological individual in the pedigree of breeding pigs, and use the screened - out target biological individuals whose genotype at the pathogenic gene locus is non - homozygous and whose genotype at the predetermined advantageous gene locus is homozygous as candidate breeding biological individuals; For any maternal candidate breeding biological individual and any paternal candidate breeding biological individual among the candidate breeding individuals, determine the genomic kinship coefficient corresponding to the any maternal candidate breeding biological individual and the any paternal candidate breeding biological individual; Determine the any maternal candidate breeding biological individual and the any paternal candidate breeding biological individual whose genomic kinship coefficient is less than a preset genomic kinship coefficient threshold as a pair of candidate breeding biological individuals.

8. An apparatus for establishing the pedigree of a breeding pig population, characterized in that, The establishing device includes: A genotype acquisition module, configured to obtain the genotype at each target gene locus on the chromosome of each target biological individual among a predetermined number of target biological individuals in a target environment; An evolutionary tree construction module, configured to construct a biological evolutionary tree corresponding to the predetermined number of target biological individuals in the target environment based on the genotype at each target gene locus on the chromosome of each obtained target biological individual; the biological evolutionary tree is used to represent the genetic distance relationship among each target biological individual; wherein, the biological evolutionary tree includes a plurality of leaf nodes, and each leaf node corresponds to one of the predetermined number of target biological individuals; A clustering module, configured to obtain at least one leaf - node cluster in response to the user's partitioning process of the biological evolutionary tree; wherein, each leaf - node cluster corresponds to a bloodline, and the bloodline corresponding to each leaf node in each leaf - node cluster is the bloodline of the target biological individual corresponding to the leaf node; An evaluation value determination module, configured to perform paternity analysis on any two target biological individuals among the predetermined number of target biological individuals to obtain the paternity evaluation value corresponding to the any two target biological individuals; A parent-offspring pair determination module, configured to determine any two target biological individuals whose obtained parent-offspring evaluation values corresponding to the two target biological individuals are greater than a predetermined parent-offspring evaluation threshold as a parent-offspring pair; A parent-offspring relationship map establishment module, configured to determine the genetic relationship of each parent-offspring pair, and establish a parent-offspring relationship map based on the genetic relationship; the genetic relationship represents the pointing relationship between the maternal parent and the offspring and / or the pointing relationship between the paternal parent and the offspring; the parent-offspring relationship map includes at least one root node and the pointing lines representing the genetic relationship between the root nodes; A breeding pig population pedigree establishment module, configured to establish a breeding pig population pedigree named after the maternal bloodline based on the parent-offspring relationship map and the bloodline of each target biological individual.

9. An electronic device, characterized in that, Comprising: A processor, a memory, and a bus, where the memory stores machine-readable instructions executable by the processor. When the electronic device runs, the processor communicates with the memory through the bus. When the machine-readable instructions are run by the processor, the steps of the method for establishing a breeding pig population pedigree according to any one of claims 1 to 7 are executed.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium. When the computer program is run by the processor, the steps of the method for establishing a breeding pig population pedigree according to any one of claims 1 to 7 are executed.

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