A breeding information processing method and device

Abstract

The present invention provides a breeding information processing method and device, which can obtain the genetic performance information of a purebred group and the genetic performance information of a hybrid group; wherein the purebred group includes at least one purebred group, the hybrid group includes at least one hybrid group, each hybrid group is a descendant of at least one purebred group, and under the association of each hybrid group, a genetic connection can be established between each purebred group; based on the genetic performance information of the purebred group and the genetic performance information of the hybrid group, additive mixed kinship information and dominant mixed kinship information are obtained; based on the additive mixed kinship information and dominant mixed kinship information, genomic breeding information is obtained. The present invention can introduce the genetic performance information of the hybrid group to evaluate the genomic breeding information of the purebred group or the hybrid group, which can effectively improve the evaluation accuracy of the genomic breeding information.

Description

Technical Field

[0001] The present invention relates to the field of breeding technology, and in particular to a breeding information processing method and device. Background Art

[0002] In the field of livestock and poultry breeding, the advancement of breeding technology is the basis for the continuous improvement of breeding efficiency. With the development of production performance measurement technology and genotyping technology, new types of data are constantly being incorporated into breeding evaluation.

[0003] It should be noted that the core group of purebred livestock is relatively small in number and can be tested on a large scale or even the entire group. It has a single bloodline, clear pedigree, and clear genetic structure. It is the core of the hybrid breeding system. The genetic progress obtained on it can be spread to the entire commercial production group through hybridization and expansion, thereby bringing about improved economic benefits. Therefore, the existing breeding evaluation work usually only conducts production testing and genetic evaluation in the core group of purebred livestock.

[0004] However, in the actual entire industry chain, the number of purebred livestock in the core group accounts for a relatively small proportion. If only purebred livestock in the core group are used for breeding evaluation, there may be a problem of low accuracy in breeding evaluation. Summary of the invention

[0005] The present invention provides a breeding information processing method and device, which are used to solve the defect that the breeding evaluation accuracy in the prior art may be low, and effectively improve the breeding information evaluation accuracy.

[0006] The present invention provides a breeding information processing method, comprising:

[0007] Obtaining genetic performance information of a purebred population group and genetic performance information of a hybrid population group; wherein the purebred population group includes at least one purebred population, the hybrid population group includes at least one hybrid population, each of the hybrid populations is a descendant of at least one of the purebred populations, and under the association of the hybrid populations, a genetic connection can be established between the purebred populations;

[0008] Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, obtaining additive mixed kinship information;

[0009] Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, obtaining dominant mixed kinship information;

[0010] Based on the additive mixed kinship information and the dominant mixed kinship information, genomic breeding information is obtained.

[0011] Optionally, the genetic performance information includes pedigree information and genome information; the additive mixed kinship information is obtained based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, including:

[0012] Determining pedigree additive partial kinship information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group;

[0013] Determining genomic additive partial kinship information based on the genomic information of the purebred population group and the genomic information of the hybrid population group;

[0014] Based on the pedigree additive partial kinship information and the genomic additive partial kinship information, the additive mixed kinship information is determined.

[0015] Optionally, the genetic performance information includes pedigree information and genome information; the obtaining of dominant mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group includes:

[0016] Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, determining the pedigree dominant partial kinship information;

[0017] Based on the genome information of the purebred population group and the genome information of the hybrid population group, determining the genomic dominant partial kinship information;

[0018] Based on the pedigree dominant partial kinship information and the genomic dominant partial kinship information, the dominant mixed kinship information is obtained.

[0019] Optionally, obtaining genomic breeding information based on the additive mixed kinship information and the dominant mixed kinship information includes:

[0020] The additive mixed kinship information and the dominant mixed kinship information are processed by using a mixed model processing method to obtain the genomic breeding information.

[0021] Optionally, the determining of pedigree additive partial affinity information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group includes:

[0022] Determining additive partial kinship related information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group;

[0023] Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, determining the background kinship information within and between populations;

[0024] Based on the additive partial kinship related information and the background kinship information, the pedigree additive partial kinship information is determined.

[0025] Optionally, the determining of additive partial kinship related information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group includes:

[0026] Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, determining information related to additive partial affinity between individuals of all individuals in the purebred population group and the hybrid population group;

[0027] Based on the inter-individual additive partial kinship related information of all the individuals, the additive partial kinship related information is determined.

[0028] Optionally, determining the genomic additive partial kinship information based on the genomic information of the purebred population group and the genomic information of the hybrid population group includes:

[0029] Based on the genome information of the purebred population group and the genome information of the hybrid population group, determining the genome additive partial kinship information within the population and the genome additive partial kinship information between the populations;

[0030] The genomic additive partial kinship information within the population and the genomic additive partial kinship information between the populations are processed in combination to determine the genomic additive partial kinship information.

[0031] Optionally, the determining of pedigree dominant partial kinship information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group includes:

[0032] Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, determining the inter-individual dominant partial kinship information of all individuals in the purebred population group and the hybrid population group;

[0033] Based on the inter-individual dominant partial kinship information of all the individuals, the pedigree dominant partial kinship information is determined.

[0034] Optionally, the determining of genomic dominant partial kinship information based on the genomic information of the purebred population group and the genomic information of the hybrid population group includes:

[0035] Based on the genome information of the purebred population group and the genome information of the hybrid population group, determining the expected genotype information of all genetic marker sites of the individual;

[0036] Determining individual dominant genomic marker information based on the expected genotype information of all genetic marker sites of the individual;

[0037] Based on the individual dominant genomic marker information, the genomic dominant partial kinship information is determined.

[0038] The present invention also provides a breeding information processing device, comprising: a first obtaining unit, a second obtaining unit, a third obtaining unit and a fourth obtaining unit; wherein:

[0039] The first obtaining unit is used to obtain the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group; wherein the purebred population group includes at least one purebred population, the hybrid population group includes at least one hybrid population, each of the hybrid populations is a descendant of at least one of the purebred populations, and under the association of the hybrid populations, a genetic connection can be established between the purebred populations;

[0040] The second obtaining unit is used to obtain additive mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group;

[0041] The third obtaining unit is used to obtain dominant mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group;

[0042] The fourth obtaining unit is used to obtain genomic breeding information based on the additive mixed kinship information and the dominant mixed kinship information.

[0043] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the above-mentioned breeding information processing methods when executing the program.

[0044] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program implements any of the above-mentioned breeding information processing methods when executed by a processor.

[0045] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, any one of the above breeding information processing methods is implemented.

[0046] The breeding information processing method and device provided by the present invention can obtain the genetic performance information of the purebred group group and the genetic performance information of the hybrid group; wherein the purebred group includes at least one purebred group, the hybrid group includes at least one hybrid group, each hybrid group is a descendant of at least one purebred group, and under the association of the hybrid groups, a genetic connection can be established between the purebred groups; based on the genetic performance information of the purebred group group and the genetic performance information of the hybrid group, additive mixed kinship information is obtained; based on the genetic performance information of the purebred group group and the genetic performance information of the hybrid group group, dominant mixed kinship information is obtained; based on the additive mixed kinship information and the dominant mixed kinship information, genomic breeding information is obtained. The present invention can introduce the genetic performance information of a hybrid population to evaluate the genomic breeding information of a purebred population or a hybrid population, utilize the absolute numerical advantage of the hybrid individuals in the hybrid population to perform production performance determination and genotyping on the hybrid individuals, and incorporate the phenotypic information and genetic information of the hybrid individuals into the practice of genetic evaluation improvement, thereby obtaining a large amount of additional information. Compared with using only the genetic performance information of a purebred population, the accuracy of genetic evaluation can be effectively improved, and the evaluation accuracy of genomic breeding information can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 It is a schematic flow chart of a first breeding information processing method provided by an embodiment of the present invention;

[0049] Figure 2 This is one of the schematic diagrams of breeding value accuracy of each method provided in the embodiment of the present invention under different dominant effect ratios;

[0050] Figure 3 This is the second schematic diagram of the accuracy of breeding values ​​of various methods provided in the embodiments of the present invention under different dominant effect ratios;

[0051] Figure 4 Schematic diagram of the accuracy of breeding values ​​of various methods provided in the embodiments of the present invention under corresponding dominant effect ratios;

[0052] Figure 5 is a structural schematic diagram of a breeding information processing device provided by an embodiment of the present invention;

[0053] Figure 6It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] Combine the following Figure 1-Figure 4 The breeding information processing method of the present invention is described.

[0056] like Figure 1 As shown, the embodiment of the present invention proposes a first breeding information processing method, which may include the following steps:

[0057] S101, obtaining genetic performance information of a purebred population group and genetic performance information of a hybrid population group; wherein the purebred population group includes at least one purebred population, the hybrid population group includes at least one hybrid population, each hybrid population is a descendant of at least one purebred population, and under the association of each hybrid population, a genetic connection can be established between each purebred population;

[0058] The purebred population group may be composed of one or more purebred populations of the target breed (such as pigs).

[0059] The hybrid population group may be composed of one or more hybrid populations of the target variety. Each hybrid population is generated by hybridization of a pure population in the pure population group. Specifically, each hybrid population may be the offspring of at least one pure population in the pure population group.

[0060] It should be noted that each purebred group in the purebred group group can establish a genetic connection under the association of each hybrid group in the hybrid group group. For example, when the purebred group group includes purebred groups A and B, and the hybrid group group includes hybrid group AB, purebred groups A and B can directly establish a genetic connection A-AB-B through hybrid group AB; for another example, when the purebred group group includes purebred groups A, B and C, and the hybrid group group includes hybrid groups AB and AC, at this time, A and B can directly establish a genetic connection A-AB-B through AB, and A and C can directly establish a genetic connection A-AC-C through AC. Although there is no BC in the hybrid group group so that B and C can directly establish a genetic connection, a genetic connection B-AB-A-AC-C can be established through AB and AC.

[0061] It should be noted that in the field of breeding, performance is generally used to indicate the production capacity of livestock. Specifically, genetic performance information can be related information used to indicate the potential production capacity of livestock.

[0062] Optionally, the genetic performance information may include pedigree information and / or genome information. Of course, the genetic performance information may also include other information, such as specific trait performance.

[0063] Specifically, the genetic performance information of the purebred population group may include the genetic performance information of each purebred population in the purebred population group.

[0064] Specifically, the genetic performance information of the hybrid population group may include the genetic performance information of each hybrid population in the hybrid population group.

[0065] S102, obtaining additive mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group;

[0066] It should be noted that, when it is necessary to evaluate the genetic breeding information of an individual or a group, the present invention can utilize the genetic performance information of the corresponding purebred group and the genetic performance information of the hybrid group that is genetically related to the purebred group to conduct genetic breeding information evaluation.

[0067] Specifically, after obtaining the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, the present invention can determine the additive mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group.

[0068] Optionally, in the second breeding information processing method proposed in the embodiment of the present invention, the genetic performance information includes pedigree information and genome information, and step S102 may include steps S201, S202 and S203; wherein:

[0069] S201, determining pedigree additive partial kinship information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group;

[0070] Among them, the pedigree additive partial kinship information can be the pedigree additive kinship information measured only by the genetic connection of the target variety.

[0071] Specifically, after obtaining the genetic performance information of each purebred population in the purebred population group and the genetic performance information of each hybrid population in the hybrid population group, the present invention can use the pedigree information of each purebred population and the pedigree information of each hybrid population to determine the pedigree additive partial kinship information.

[0072] Optionally, step S201 may include:

[0073] Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, the additive partial kinship related information is determined;

[0074] Based on the pedigree information of the purebred group and the pedigree information of the hybrid group, the background kinship information within and between groups is determined;

[0075] Based on the additive partial kinship related information and background kinship information, the pedigree additive partial kinship information is determined.

[0076] Optionally, the additive partial kinship-related information determined based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group includes:

[0077] Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, the information related to the additive partial kinship among individuals of all the individuals in the purebred population group and the hybrid population group is determined;

[0078] Based on the inter-individual additive partial kinship correlation information of all individuals, the additive partial kinship correlation information is determined.

[0079] Among them, the additive partial kinship related information can be pedigree additive kinship related information measured only by the genetic connection of the target variety.

[0080] Among them, the information related to additive partial kinship between individuals can be the information related to pedigree additive kinship between individuals measured only by the genetic connection of the target variety.

[0081] To better illustrate the execution process of the above steps, the present invention takes a purebred population group including purebred populations A and B and a hybrid population group including hybrid populations AB as examples for explanation. Specifically, the present invention can use the pedigree information of each purebred population and the pedigree information of each hybrid population to calculate the additive partial kinship correlation between individuals, that is, the additive partial kinship related information between individuals, and combine the additive partial kinship correlations between all individuals into an additive partial kinship correlation matrix A. (A) That is, additive partial kinship related information.

[0082] It should be noted that the additive partial kinship correlation can be determined only by the additive correlation between the genetic components of the individuals from the target population, and the additive partial kinship correlation between individuals i and j is the average of the genetic correlations of the parents of individuals i and j respectively; the additive partial kinship correlation between individual i and itself is the sum of the genetic component ratio of the target population and half of the genetic correlation between the parents of individual i; for any two individuals that have no genetic connection, their genetic correlation can be set to 0. Specifically, the present invention can be expressed by the formula:

[0083]

[0084]

[0085] in, represents the additive partial kinship correlation between individuals i and j, represents the kinship between individuals i and j, f(i) and m(i) represent the father and mother of individual i respectively; f i A represents the genetic composition ratio of the target population, for example, for purebred individuals f i A can be 1, and for binary hybrid individuals f i A It can be 0.5.

[0086] Specifically, the present invention can calculate the background kinship correlation γ within and between groups based on the pedigree information of each purebred group and the pedigree information of each hybrid group. A and (γ AB ) A , that is, the background kinship information within and between the above groups, combined with the above additive partial kinship correlation matrix A (A) , obtain the pedigree additive partial kinship matrix That is, the above-mentioned pedigree additive partial kinship information. Among them, γ A is the background kinship of purebred population A, (γ AB ) A is the part of the background affinity correlation between purebred populations A and B contributed by population A. It should be noted that the present invention can be used in the above additive partial affinity correlation matrix A (A) In the above example, the individual relationships whose kinship correlation is set to 0 because no genetic connection can be obtained are replaced. For individuals i and j that do not have pedigree genetic connections, if they come from the same population, their additive partial kinship correlation can be set to γ A ; If they come from different groups, their additive partial kinship correlation can be set to (γ AB ) A Specifically, the present invention can use the formula to describe the overall:

[0087]

[0088] Among them, K and Q are mapping matrices, and their elements are:

[0089]

[0090]

[0091] The matrix orders n and m represent the number of individuals in the purebred population and the number of individuals in the hybrid population, respectively. It should be noted that the formula does not include the situation where hybrid individuals mate again, which is consistent with the joint evaluation of the entire industry chain. For the situation where hybrid individuals mate again:

[0092]

[0093] Among them, the mapping matrices K and Q are and Among them, f(i) and m(i) are the father and mother of individual i respectively.

[0094] S202, determining genomic additive partial kinship information based on the genomic information of the purebred population group and the genomic information of the hybrid population group;

[0095] Among them, the genomic additive partial kinship information can be the genomic additive kinship information measured only by the genetic connection of the target variety.

[0096] Specifically, the present invention can use the genome information of each purebred population in the purebred population group and the genome information of each hybrid population in the hybrid population group to determine the genomic additive partial kinship information.

[0097] Optionally, step S202 may include:

[0098] Based on the genomic information of the purebred population group and the genomic information of the hybrid population group, the genomic additive partial kinship information within the population and the genomic additive partial kinship information between the populations are determined;

[0099] The genomic additive partial kinship information within a population and the genomic additive partial kinship information between populations are combined to determine the genomic additive partial kinship information.

[0100] Specifically, the present invention can use the genome information of each purebred population in the purebred population group and the genome information of each hybrid population in the hybrid population group to calculate the genomic additive partial affinity correlation matrix G of the individuals within and between the populations. (A) That is, the above-mentioned pedigree dominant partial kinship information. Among them, the genomic additive partial kinship correlation matrix G (A) The genomic additive partial kinship correlation matrix within the population can be and the genomic additive partial kinship correlation matrix between populations It consists of two parts, namely It should be noted that the genomic relatedness between populations The introduction of is because considering the above pedigree additive partial kinship matrix Captures some of the genetic correlations between populations (γ AB ) A , and the genome kinship matrix within the population Only genetic correlations within a population are included, and the matrix is ​​adjusted for symmetry. It can be calculated by the variance-covariance of the individual additive genomic marker vector, which is the difference between the genotype of all genetic marker sites of the individual and the expected genotype. Only the alleles of the target population are used for calculation. For the genomic additive partial kinship correlation matrix between populations It is obtained by the covariance between the individual additive genomic marker vectors of the target population and the individual additive genomic marker vectors of the non-target population. Among them, the genotypes here are all numerical. For the scaling of the genomic correlation matrix, the heterozygosity of the genetic marker sites of the target population can be used for calculation. The formula can be expressed as:

[0101]

[0102] Among them, Z (A) , Elements p A is the gene frequency of population A, m A For purebred individuals, according to genotype A 1 A 1 , A 1 A 2 , A 2 A 2 are 2, 1, and 0 respectively. For hybrid individuals, according to the haplotype A inherited from the purebred population A 1 , A 2 They are 1 and 0 respectively. To do this, it is necessary to determine the origin of the alleles of the hybrid individuals, that is, to analyze whether the chromatids are inherited from the father or the mother. According to the haplotype inherited by the hybrid individuals from another purebred population B, p B is the gene frequency of population B, m B According to its inheritance from the purebred population B haplotype A 1 , A 2 are 1 and 0 respectively. Correction term s A Equal to the heterozygosity 2pq.

[0103] Specifically, the present invention can be based on and G (A) , solve the undetermined element γ A ,(γ AB ) A and A Specifically, the present invention can use pedigree information and genome information to calculate and G (A) Included in A (A) , Z (A) , and part.

[0104] Specifically, the present invention can be solved by using the moment estimation method, that is, and G (A) The expected value of the mean and variance of is the same, specifically, the means of all elements and diagonal elements in the matrix are equal to each other and solved. In the process of jointly calculating the means of all elements, the information source is used for division. Only The part that contains genetic correlation within the population To combine, Only The part containing genetic correlation between populations (Q(γ AB ) A ) are combined. The solution formula can be expressed as:

[0105]

[0106]

[0107]

[0108] in, represents the additive partial kinship correlation matrix with a submatrix consisting of individuals with genotypes, K 22 , Q 22 Represents the mapping matrix composed of individuals with genotypes. Solving the above formula, we can get:

[0109]

[0110]

[0111]

[0112] When conducting joint genetic evaluation of different varieties, considering that the background kinship correlation between populations is much smaller than the background kinship correlation within a population, (γ AB ) A =0, at this time, s A The solution formula can be simplified to:

[0113]

[0114] Specifically, the present invention can calculate γ A ,(γ AB ) A and A Substitute into and G (A) In the complete form, the pedigree additive partial kinship correlation matrix is ​​obtained and the genomic additive partial affinity matrix G (A).

[0115] S203. Determine additive mixed kinship information based on the pedigree additive partial kinship information and the genome additive partial kinship information.

[0116] Specifically, the present invention can calculate the pedigree additive partial affinity correlation matrix A (A) and the genomic additive partial affinity matrix G (A) An integrated construction is performed to construct an additive H matrix, i.e., the additive mixed kinship information. It should be noted that the H matrix may refer to a mixed relationship matrix constructed using an individual molecular kinship matrix and a genomic kinship matrix. Specifically, the formula of the additive H matrix may be:

[0117]

[0118] S103, obtaining dominant mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group;

[0119] Specifically, after obtaining the genetic performance information of each purebred population in the purebred population group and the genetic performance information of each hybrid population in the hybrid population group, the present invention can use the genetic performance information of each purebred population and the genetic performance information of each hybrid population to determine the dominant mixed kinship information.

[0120] Optionally, in the third breeding information processing method proposed in the embodiment of the present invention, the genetic performance information includes pedigree information and genome information; in this case, step S103 may include steps S301, S302 and S303; wherein:

[0121] S301, determining pedigree dominant partial kinship information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group;

[0122] Specifically, the present invention can determine the pedigree dominant partial kinship information based on the pedigree information of each purebred population in the purebred population group and the pedigree information of each hybrid population in the hybrid population group.

[0123] Optionally, step S301 may include:

[0124] Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, the inter-individual dominant partial kinship information of all individuals in the purebred population group and the hybrid population group is determined;

[0125] Based on the inter-individual dominant partial kinship information of all individuals, the pedigree dominant partial kinship information is determined.

[0126] In order to better illustrate the execution process of the above steps, the present invention continues to explain by taking a purebred population group including purebred populations A and B and a hybrid population group including a hybrid population AB as examples.

[0127] Specifically, the present invention can use the pedigree information of each purebred population and the pedigree information of each hybrid population to calculate the dominant partial kinship correlation between all individuals, that is, the dominant partial kinship information between the above individuals, and construct the dominant partial kinship correlation matrix D of all the calculated dominant partial kinship correlations between each two individuals. (A) , that is, the above-mentioned pedigree dominant partial kinship information. It should be noted that the dominant partial kinship correlation is determined only by the dominant correlation between the genetic components of the individuals from the target group. The dominant partial kinship correlation of individual i and individual j is the expectation of the common genotype ratio of the two individuals, which can be calculated by multiplying the mean of the product of the additive genetic correlations of the parents of individual i and the parents of individual j by the genetic component ratio; the dominant partial kinship correlation of individual i with itself is the difference between the genetic component ratio of the target group and half of the additive genetic correlation between the parents of individual i; for any two individuals who are not genetically related, their genetic correlation can be set to 0, and the present invention can be expressed by the formula:

[0128]

[0129]

[0130] in, It does not include the case of hybrid individuals mating again. For the case of hybrid individuals mating, the present invention can use the pedigree additive partial affinity correlation matrix Calculate D (A) Specifically, the present invention can be calculated in the following way:

[0131]

[0132]

[0133] in, P is all varieties except the target variety.

[0134] S302, determining genomic dominant partial kinship information based on the genomic information of the purebred population group and the genomic information of the hybrid population group;

[0135] Specifically, the present invention can determine the genomic dominant partial kinship information based on the genomic information of each purebred population in the purebred population group and the genomic information of each hybrid population in the hybrid population group.

[0136] Optionally, step S302 may include:

[0137] Based on the genome information of the purebred population group and the genome information of the hybrid population group, the expected genotype information of all genetic marker sites of the individual is determined;

[0138] Based on the expected genotype information of all genetic marker sites of the individual, the dominant genomic marker information of the individual is determined;

[0139] Based on the individual dominant genomic marker information, the genomic dominant partial kinship information is determined.

[0140] Specifically, the present invention can use the genome information of each purebred population in the purebred population group and the genome information of each hybrid population in the hybrid population group to calculate the individual genome dominant partial kinship correlation matrix That is, the above-mentioned genomic dominant partial kinship information. It can be obtained through the variance-covariance of the individual dominant genomic marker vector, which is determined by the genotype expected variance of all genetic marker loci of the individual, and its element w i For purebred individuals, according to genotype A 1 A 1 , A 1 A 2 , A 2 A 2 -2(q A ) 2 , 2p A q A , -2(p A ) 2 For hybrid individuals, according to the haplotype inherited from purebred population A, it is constructed as:

[0141]

[0142] Among them, q 1 ,q 2 Represents the gene frequencies of purebred populations A and B, respectively. Genotype A 1 (A 1 A 2 ) indicates that the genotype of the hybrid individual is A 1 A 2 , and the haplotype inherited from purebred population A is A 1 Correction term s A can be equal to the variance of heterozygosity, which is:

[0143]

[0144] S303. Obtain dominant mixed kinship information based on pedigree dominant partial kinship information and genome dominant partial kinship information.

[0145] Specifically, the present invention can calculate the pedigree dominant partial affinity correlation matrix D(A) and genomic dominant partial affinity correlation matrix The integration is constructed into an explicit H matrix, which is the explicit mixed kinship information mentioned above.

[0146] S104. Obtain genomic breeding information based on additive mixed kinship information and dominant mixed kinship information.

[0147] Specifically, after obtaining the additive mixed kinship information and the dominant mixed kinship information, the present invention can use the additive mixed kinship information and the dominant mixed kinship information to determine the genomic breeding information.

[0148] Optionally, step S104 may include:

[0149] The additive mixed kinship information and the dominant mixed kinship information were processed by using the mixed model processing method to obtain genomic breeding information.

[0150] Specifically, after obtaining the additive H matrix and the dominant H matrix, the present invention can use the MME solution method, i.e., the mixed model equation group, to obtain the genomic breeding information of one or more individuals or groups, i.e., the genomic breeding value for a certain trait.

[0151] It should be noted that in the prior art, the Best Linear Unbiased Prediction (BLUP) method is usually used to predict the breeding value of individuals and select genetically superior individuals. However, it is usually only used for production measurement and genetic evaluation in core group purebred livestock, and the genetic performance information of hybrid groups is not used. There is a problem of insufficient information utilization and low accuracy of genomic breeding information evaluation. Figure 1 The method shown can introduce the genetic performance information of the hybrid population to evaluate the genomic breeding information of the purebred population or the hybrid population, and utilize the absolute number advantage of the hybrid individuals of the hybrid population to perform production performance measurement and genotyping on the hybrid individuals. The phenotypic information and gene information of the hybrid individuals are incorporated into the practice of genetic evaluation improvement, and a large amount of additional information can be obtained. Compared with using only the genetic performance information of the purebred population, the accuracy of the genetic evaluation can be effectively improved, and the evaluation accuracy of the genomic breeding information can be improved. Specifically, the present invention can use the genomic additive-dominant best linear unbiased estimation algorithm for multi-population breeding values ​​to perform joint genetic evaluation on multiple populations including purebred populations and hybrid populations, obtain genomic breeding values, and improve the accuracy of genomic breeding information evaluation. Among them, multiple populations can refer to populations with different gene frequencies or population genetic variance components, and different strains or different varieties of livestock in actual production.

[0152] In practical applications, the inventors of the technical solution of the present invention have found that the present invention can improve the heritability of trait evaluation by more than 50% compared with the prior art, and due to the difference in genetic basis caused by hybridization, the performance of the same trait in purebred groups and hybrid groups is not completely consistent. The average purebred-hybrid genetic correlation of economic traits of pigs is about 0.63, and most traits are in the range of 0.45-0.87. For traits with a purebred-hybrid genetic correlation lower than 0.7, it is not accurate to use only purebred information for prediction. Determining hybrid information can effectively improve the estimation of hybrid production performance; hybrid groups are helpful to obtain the phenotypes of some purebred traits that are difficult to measure or require slaughter to measure, such as sow longevity, meat quality, carcass back fat thickness, etc.

[0153] Specifically, the hybrid information of the entire industry chain introduced by the present invention can provide a wider source of information for the genetic evaluation of individuals in the purebred population, thereby improving the accuracy of genetic evaluation; it can provide important information for predicting the hybridization effect of purebreds, thereby obtaining more accurate and prominent hybrid advantages; it reflects the performance differences between the production end and the breeding end, and provides strategic support for accelerating the efficiency of excellent gene transmission. The present invention can significantly improve the accuracy of purebred individual genetic evaluation, greatly improve the ability of the genetic evaluation model to comprehensively utilize the information of all purebred and hybrid individuals in the entire industry chain, accelerate the genetic transmission of favorable genes and favorable genotype combinations, and help to greatly improve the breeding and selection efficiency and the production efficiency of the entire industry chain.

[0154] The breeding information processing method proposed in the present invention can obtain the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group; wherein the purebred population group includes at least one purebred population, the hybrid population group includes at least one hybrid population, each hybrid population is a descendant of at least one purebred population, and under the association of each hybrid population, a genetic connection can be established between each purebred population; based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, additive mixed kinship information is obtained; based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, dominant mixed kinship information is obtained; based on the additive mixed kinship information and the dominant mixed kinship information, genomic breeding information is obtained. The present invention can introduce the genetic performance information of a hybrid population to evaluate the genomic breeding information of a purebred population or a hybrid population, utilize the absolute numerical advantage of the hybrid individuals in the hybrid population to perform production performance determination and genotyping on the hybrid individuals, and incorporate the phenotypic information and genetic information of the hybrid individuals into the practice of genetic evaluation improvement, thereby obtaining a large amount of additional information. Compared with using only the genetic performance information of a purebred population, the accuracy of genetic evaluation can be effectively improved, and the evaluation accuracy of genomic breeding information can be improved.

[0155] To further illustrate the beneficial effects that can be achieved by the present invention, the embodiments of the present invention are described in conjunction with application scenarios, such as the following Examples 1, 2, and 3.

[0156] Example 1: Now 18,000 individuals are simulated by computer, each of which has phenotypic data and three-generation pedigrees, 6,000 individuals have SNP genotype information, and the number of SNP sites is 43,322. Among all the individuals, 9,000 are purebred populations, and 9,000 are hybrid offspring of the aforementioned purebred population and another purebred population. The present invention evaluates the genomic breeding values ​​of the last generation of descendants of the simulated population under different dominant effect ratios through computer simulation, and calculates the accuracy of the breeding value estimation. Among them, the accuracy of the estimate can be the ratio of the true breeding value to the estimated breeding value. Ten random verifications are performed. The present invention uses a three-trait animal model for evaluation, and the phenotypic values ​​of the same trait from two purebred populations and a hybrid population are regarded as different traits with a certain genetic connection. Specific models may include:

[0157] y A =X A b A +Z A a A +W A d A +e A ;

[0158] y B =X B b B +Z B a B +W B d B +e B ;

[0159]

[0160] Among them, y i is the observed value vector of the trait phenotype of different populations; the different values ​​of subscript i A, B and AB are the purebred population A, purebred population B and their hybrid offspring AB respectively; b i is the fixed effect vector of different groups; a i is the purebred additive genetic effect vector of different populations; c AB is the hybrid additive genetic effect vector of the hybrid population; d i is the purebred dominant genetic effect vector for different populations; is the hybrid additive genetic effect vector of the hybrid population; e i is the random effect vector of different groups; X i ,Z i ,W iis the correlation matrix. The variance-covariance structure of the random effects is:

[0161]

[0162]

[0163] It should be noted that, for the evaluation of the genomic breeding value of the simulated population in Example 1 above, the present invention can be compared with three traditional methods. Among them, the first traditional method and the second traditional method are purebred one-step methods. The first traditional method only applies 9,000 purebred individuals as the reference group, and the second traditional method uses all 18,000 individuals as the reference group; the third traditional method is a hybrid one-step method, using all 18,000 individuals as the reference group. Figure 2 As shown, the above three traditional methods and the present invention respectively evaluate breeding information of simulated populations under different dominant effect ratios. The present invention can improve performance by an average of 5% under different conditions.

[0164] Among them, compared with the traditional methods, the present invention has significant advantages. The first traditional method and the second traditional method are designed for purebred genetic evaluation, and do not take into account the differences in the genetic basis between purebred and hybrid populations, which will produce a large number of evaluation errors. The present invention can take into account the genetic basis between different populations, such as the differences between factors such as allele frequency, and can well correct the influence of these irrelevant factors on genetic evaluation, thereby achieving significant advantages. Although the third traditional method is designed for hybrid populations, it cannot fully process all genetic information. At the same time, the above three traditional methods do not take into account the influence of dominant effects, which are important genetic effects in hybrid populations. The present invention provides an accurate evaluation of dominant effects. Therefore, the present invention can achieve significant advantages over traditional methods.

[0165] Example 2: 18,000 individuals are simulated by computer, each of which has phenotypic data and three-generation pedigrees, 6,000 individuals have SNP genotype information, and the number of SNP sites is 43,322. Among all the individuals, 9,000 are purebred populations, and 9,000 are hybrid offspring of the above-mentioned purebred population and another purebred population. The present invention evaluates the breeding value of the last generation of the simulated population under different dominant effect ratios through computer simulation to verify the predictive ability of the present invention for hybrid performance and calculate the accuracy of the breeding value estimation.

[0166] Specifically, for the evaluation of the genomic breeding value of the simulated population in Example 2, the present invention can be compared with the second traditional method and the third traditional method. Figure 3As shown, the second traditional method, the third traditional method and the present invention evaluate breeding information on simulated populations under different dominant effect ratios, and the present invention can have an average relative performance improvement of 10% under different circumstances.

[0167] Example 3: There are 1,000 real individuals, each of which has phenotypic data and three-generation pedigrees, 460 individuals have SNP genotype information, and the number of SNP sites is 50,904. Among all the individuals, 800 are purebred populations, and 200 are hybrid offspring of the above-mentioned purebred population and another purebred population. The present invention can evaluate the breeding value of the last generation of descendants of the real population to verify the predictive ability of the present invention on hybrid performance.

[0168] It should be noted that, for the evaluation of the genomic breeding value of the real population in Example 3 above, the present invention can be compared with the above three traditional methods respectively. Figure 4 As shown, the above three traditional methods and the present invention evaluate breeding information on a real population under the dominant effect ratio of a real population, and the present invention can have an average relative performance improvement of 5%.

[0169] The breeding information processing device provided by the present invention is described below. The breeding information processing device described below and the breeding information processing method described above can be referenced to each other.

[0170] like Figure 5 As shown, the embodiment of the present invention provides a breeding information processing device, including: a first obtaining unit 501, a second obtaining unit 502, a third obtaining unit 503 and a fourth obtaining unit 504; wherein:

[0171] The first obtaining unit 501 is used to obtain the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group; wherein the purebred population group includes at least one purebred population, and the hybrid population group includes at least one hybrid population, and each hybrid population is a descendant of at least one purebred population, and under the association of each hybrid population, a genetic connection can be established between each purebred population;

[0172] A second obtaining unit 502 is used to obtain additive mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group;

[0173] The third obtaining unit 503 is used to obtain dominant mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group;

[0174] The fourth obtaining unit 504 is used to obtain genome breeding information based on the additive mixed kinship information and the dominant mixed kinship information.

[0175] It should be noted that the processing processes of the first obtaining unit 501, the second obtaining unit 502, the third obtaining unit 503 and the fourth obtaining unit 504 and the beneficial effects thereof can be respectively referred to in the present invention regarding Figure 1 The relevant descriptions of steps S101, S102, S103 and S104 are not repeated here.

[0176] The breeding information processing device proposed in the present invention can obtain the genetic performance information of the purebred group and the genetic performance information of the hybrid group; wherein the purebred group includes at least one purebred group, the hybrid group includes at least one hybrid group, each hybrid group is the descendant of at least one purebred group, and under the association of each hybrid group, a genetic connection can be established between each purebred group; based on the genetic performance information of the purebred group and the genetic performance information of the hybrid group, additive mixed kinship information is obtained; based on the genetic performance information of the purebred group and the genetic performance information of the hybrid group, dominant mixed kinship information is obtained; based on the additive mixed kinship information and the dominant mixed kinship information, genomic breeding information is obtained. The present invention can introduce the genetic performance information of a hybrid population to evaluate the genomic breeding information of a purebred population or a hybrid population, utilize the absolute numerical advantage of the hybrid individuals in the hybrid population to perform production performance determination and genotyping on the hybrid individuals, and incorporate the phenotypic information and genetic information of the hybrid individuals into the practice of genetic evaluation improvement, thereby obtaining a large amount of additional information. Compared with using only the genetic performance information of a purebred population, the accuracy of genetic evaluation can be effectively improved, and the evaluation accuracy of genomic breeding information can be improved.

[0177] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6 As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630 and a communication bus 640, wherein the processor 610, the communications interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may call the logic instructions in the memory 630 to execute the breeding information processing method, which includes:

[0178] Obtaining genetic performance information of a purebred population group and genetic performance information of a hybrid population group; wherein the purebred population group includes at least one purebred population, the hybrid population group includes at least one hybrid population, each hybrid population is a descendant of at least one purebred population, and under the association of each hybrid population, a genetic connection can be established between each purebred population;

[0179] Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, the additive mixed kinship information is obtained;

[0180] Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, the dominant mixed kinship information is obtained;

[0181] Based on additive mixed kinship information and dominant mixed kinship information, genomic breeding information is obtained.

[0182] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0183] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the breeding information processing method provided by the above methods, the method includes:

[0184] Obtaining genetic performance information of a purebred population group and genetic performance information of a hybrid population group; wherein the purebred population group includes at least one purebred population, the hybrid population group includes at least one hybrid population, each hybrid population is a descendant of at least one purebred population, and under the association of each hybrid population, a genetic connection can be established between each purebred population;

[0185] Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, the additive mixed kinship information is obtained;

[0186] Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, the dominant mixed kinship information is obtained;

[0187] Based on additive mixed kinship information and dominant mixed kinship information, genomic breeding information is obtained.

[0188] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for processing breeding information provided by the above methods is implemented, and the method comprises:

[0189] Obtaining genetic performance information of a purebred population group and genetic performance information of a hybrid population group; wherein the purebred population group includes at least one purebred population, the hybrid population group includes at least one hybrid population, each hybrid population is a descendant of at least one purebred population, and under the association of each hybrid population, a genetic connection can be established between each purebred population;

[0190] Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, the additive mixed kinship information is obtained;

[0191] Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, the dominant mixed kinship information is obtained;

[0192] Based on additive mixed kinship information and dominant mixed kinship information, genomic breeding information is obtained.

[0193] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0194] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0195] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A breeding information processing method, characterized in that: include: Obtaining genetic performance information of a purebred population group and genetic performance information of a hybrid population group; wherein the purebred population group includes at least one purebred population, and the hybrid population group includes at least one hybrid population, and each of the hybrid populations is a descendant of at least one of the purebred populations, and under the association of the hybrid populations, a genetic connection can be established between the purebred populations; wherein the genetic performance information includes pedigree information and genome information; Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, additive mixed kinship information is obtained; specifically including: Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, pedigree additive partial kinship information is determined; the pedigree additive partial kinship information is a pedigree additive partial kinship relationship matrix in, is the pedigree additive partial affinity matrix of the purebred population A; A (A) is the additive partial affinity correlation matrix of purebred population A, γ A is the background kinship of purebred population A, (γ AB ) A is the part of the background affinity between purebred populations A and B contributed by population A, K, Q P is the mapping matrix; p≠A Q p A mapping matrix representing other groups in the purebred group except the purebred group A; Based on the genome information of the purebred population group and the genome information of the hybrid population group, the genome additive partial affinity information is determined; wherein the genome additive partial affinity information is the genome additive partial affinity correlation matrix G (A) ; Among them, G (A) is the additive partial kinship correlation matrix of the genome within the population, is the genomic additive partial affinity correlation matrix between populations, s A is the correction term; Based on the pedigree additive partial kinship information and the genomic additive partial kinship information G (A) , determine the additive mixed kinship information; the additive mixed kinship information is an additive H matrix; the additive H matrix is: Among them, (H (A) ) -1 is the additive H matrix, is the genomic additive biased kinship information, (A (A) ) -1 It is the pedigree additive biased kinship information, A submatrix of the additive partial kinship correlation matrix having genotyped individuals; Based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group, dominant mixed kinship information is obtained; wherein the dominant mixed kinship information is a dominant H matrix; specifically comprising: based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, determining the pedigree dominant partial kinship information D (A) ; Among them, the pedigree dominant partial kinship information is the dominant partial kinship correlation matrix D (A) , the dominant partial affinity correlation matrix D (A) The calculation method is: in, It does not include the situation where hybrid individuals mate again; For hybrid individuals, the pedigree additive partial affinity correlation matrix is ​​used. Calculate D (A) , calculated as follows: in, P is all varieties except the target variety; Based on the genome information of the purebred population group and the genome information of the hybrid population group, the genomic dominant partial affinity information is determined; wherein the genomic dominant partial affinity is a genomic dominant partial affinity correlation matrix The calculation method is: Based on the pedigree dominant partial kinship information D (A) and the genome dominant partial kinship information Obtaining the dominant mixed kinship information; Based on the additive mixed kinship information and the dominant mixed kinship information, genomic breeding information is obtained.

2. The breeding information processing method according to claim 1, characterized in that: The step of obtaining genomic breeding information based on the additive mixed kinship information and the dominant mixed kinship information comprises: The additive mixed kinship information and the dominant mixed kinship information are processed by using a mixed model processing method to obtain the genomic breeding information.

3. The breeding information processing method according to claim 1, characterized in that: The step of determining the pedigree additive partial affinity information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group comprises: Determining additive partial kinship related information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group; Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, determining the background kinship information within and between populations; Based on the additive partial kinship related information and the background kinship information, the pedigree additive partial kinship information is determined.

4. The breeding information processing method according to claim 3, characterized in that: Determining additive partial kinship related information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group includes: Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, determining information related to additive partial affinity between individuals of all individuals in the purebred population group and the hybrid population group; Based on the inter-individual additive partial kinship related information of all the individuals, the additive partial kinship related information is determined.

5. The breeding information processing method according to claim 1, characterized in that: The step of determining the genomic additive partial kinship information based on the genomic information of the purebred population group and the genomic information of the hybrid population group comprises: Based on the genome information of the purebred population group and the genome information of the hybrid population group, determining the genome additive partial kinship information within the population and the genome additive partial kinship information between the populations; The genomic additive partial kinship information within the population and the genomic additive partial kinship information between the populations are processed in combination to determine the genomic additive partial kinship information.

6. The breeding information processing method according to claim 1, characterized in that: The step of determining the pedigree dominant partial kinship information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group comprises: Based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group, determining the inter-individual dominant partial kinship information of all individuals in the purebred population group and the hybrid population group; Based on the inter-individual dominant partial kinship information of all the individuals, the pedigree dominant partial kinship information is determined.

7. The breeding information processing method according to claim 1, characterized in that: The step of determining the genomic dominant partial kinship information based on the genomic information of the purebred population group and the genomic information of the hybrid population group comprises: Based on the genome information of the purebred population group and the genome information of the hybrid population group, determining the expected genotype information of all genetic marker sites of the individual; Determining individual dominant genomic marker information based on the expected genotype information of all genetic marker sites of the individual; Based on the individual dominant genomic marker information, the genomic dominant partial kinship information is determined.

8. A breeding information processing device, characterized in that: include: a first obtaining unit, a second obtaining unit, a third obtaining unit and a fourth obtaining unit; wherein: The first obtaining unit is used to obtain the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group; wherein the purebred population group includes at least one purebred population, and the hybrid population group includes at least one hybrid population, and each of the hybrid populations is a descendant of at least one of the purebred populations, and under the association of the hybrid populations, a genetic connection can be established between the purebred populations; wherein the genetic performance information includes pedigree information and genome information; The second obtaining unit is used to obtain additive mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group; specifically, it includes: determining pedigree additive partial kinship information based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group; the pedigree additive partial kinship information is a pedigree additive partial kinship matrix in, is the pedigree additive partial affinity matrix of the purebred population A; A (A) is the additive partial affinity correlation matrix of purebred population A, γ A is the background kinship of purebred population A, (γ AB ) A is the part of the background affinity between purebred populations A and B contributed by population A, K, Q P is the mapping matrix; p≠A Q p A mapping matrix representing other groups in the purebred group except the purebred group A; Based on the genome information of the purebred population group and the genome information of the hybrid population group, the genome additive partial affinity information is determined; wherein the genome additive partial affinity information is the genome additive partial affinity correlation matrix G (A) ; Among them, G (A) is the additive partial kinship correlation matrix of the genome within the population, is the genomic additive partial affinity correlation matrix between populations, s A is the correction term; Based on the pedigree additive partial kinship information A (A)γ and the genomic additive partial kinship information G (A) , determine the additive mixed kinship information; the additive mixed kinship information is an additive H matrix; the additive H matrix is: Among them, (H (A) ) -1 is the additive H matrix, is the genomic additive biased kinship information, (A (A) ) -1 It is the pedigree additive biased kinship information, A submatrix of the additive partial kinship correlation matrix having genotyped individuals; The third obtaining unit is used to obtain dominant mixed kinship information based on the genetic performance information of the purebred population group and the genetic performance information of the hybrid population group; wherein the dominant mixed kinship information is a dominant H matrix; specifically comprising: determining pedigree dominant partial kinship information D based on the pedigree information of the purebred population group and the pedigree information of the hybrid population group (A) ; Among them, the pedigree dominant partial kinship information is the dominant partial kinship correlation matrix D (A) , the dominant partial affinity correlation matrix D (A) The calculation method is: in, It does not include cases where hybrid individuals mate again; For hybrid individuals, the pedigree additive partial affinity correlation matrix is ​​used. Calculate D (A) , calculated as follows: in, P is all varieties except the target variety; Based on the genome information of the purebred population group and the genome information of the hybrid population group, the genomic dominant partial affinity information is determined; wherein the genomic dominant partial affinity is a genomic dominant partial affinity correlation matrix The calculation method is: Based on the pedigree dominant partial kinship information D (A) and the genome dominant partial kinship information Obtaining the dominant mixed kinship information; The fourth obtaining unit is used to obtain genomic breeding information based on the additive mixed kinship information and the dominant mixed kinship information.

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