Selecting and matching method and system for live pig core group

Abstract

The invention discloses a matching method and system for a live pig core group, and relates to the technical field of live pig breeding, and the method comprises the steps: obtaining a to-be-matched boar group, a to-be-matched sow group, the basic information of the boar group, and the basic information of the sow group through a data preprocessing module, and taking the information as original data; a parameter setting module is used for setting matching rules and matching requirements; a user interaction module is utilized to prompt a user to remove non-mating sows and boars in the original data according to mating rules and mating requirements; the data processing module is used for analyzing and processing sow data and boar data which can be matched, candidate boars are distributed to each sow to be matched, and a matching plan is made; and making and outputting a matching plan table according to the matching plan by using a tabulation output module. According to the method, the problems that the mating plan of the whole to-be-mated group cannot be accurately formulated and the mating table which can guarantee accurate execution, tracking and checking on site according to the mating plan and is directly convenient to use on site cannot be output in the existing method are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of pig breeding, and in particular to a method and system for selecting a core group of pigs. Background Art

[0002] At present, one of the main problems facing pig breeding in my country is the insufficient application of digital and intelligent technologies, the lack of professional breeding software, the difficulty of using it, and the fact that most of it remains at the statistical level, which is cumbersome and not conducive to guiding the development and management of on-site breeding work. This greatly limits the efficiency and effectiveness of pig breeding work, making it difficult to achieve accurate and efficient matching and selection decisions, resulting in slow genetic progress, which has become a difficulty and pain point in pig breeding work.

[0003] Matching is crucial in pig breeding. Reasonable matching can not only maintain population diversity and control the inbreeding increment of the population, but also accelerate genetic progress, thereby improving the overall performance and genetic potential of the offspring population. However, the formulation of matching plans is cumbersome, time-consuming and labor-intensive, and varies from person to person. At present, there is no automatic matching program or breeding software containing this program on the market that can be applied to the core group (GGP) and can simultaneously ensure the acceleration of genetic progress and effectively control the inbreeding increment of the population. Some breeding software can only provide an inbreeding coefficient table between the two pigs to be matched, or can set a certain proportion for homogeneous matching, or recommend suitable individuals by genotype or selection index (breeding value, which refers to the breeding value of breeding animals), but none of them can accurately formulate the breeding plan for the entire population to be matched, and cannot output a matching table that can ensure accurate execution and tracking and verification on site according to the matching plan, and can be directly used on site. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a mating method and system for a core group of live pigs, which solves the problem that the existing methods are unable to accurately formulate breeding plans for the entire group to be mated, and are unable to output a matching table that can ensure accurate execution, tracking and verification on site according to the mating plan, and can be directly used on site.

[0005] In order to achieve the above-mentioned purpose of the invention, the technical solution adopted by the present invention is: a method for selecting a core group of pigs, comprising the following steps: S1: using the data preprocessing module to obtain the boar group, sow group, basic information of the boar group and basic information of the sow group to be selected as raw data; S2: Use the parameter setting module to set matching rules and matching requirements; S3: using the user interaction module to prompt the user to remove sows and boars that are not suitable for mating in the original data according to the mating rules and mating requirements; S4: Based on the prompt results, the data processing module is used to analyze and process the data of the sows and boars that can be mated, assign candidate boars to each sow to be mated, and formulate a mating plan; S5: Use the tabulation output module to formulate a matching plan according to the matching plan, and output it to complete the matching of the core group of pigs.

[0006] Furthermore, the basic information of the boar group and the sow group in S1 include breed, strain, status, number of litters bred, selection index, age, parity, offspring deformity, inbreeding coefficient between sows and boars, and offspring selection coefficient.

[0007] Furthermore, the inbreeding coefficient is calculated using the pedigree method, and the formula is:

[0008] in, For individuals The inbreeding coefficient, For individuals The inbreeding coefficient of the father, For individuals The inbreeding coefficient of the mother, For individuals The coefficient of relatedness between the parents, is the inbreeding coefficient of the common ancestor of the parents.

[0009] Furthermore, the S4 includes the following sub-steps: S41: based on the prompt result, eliminating the combinations of sows and boars that cannot be mated, and obtaining the combinations of sows and boars that can be mated; S42: Based on the available sow and boar combinations, boars are graded; S43: Based on the grading results, homogeneous sows are screened, and candidate boars are allocated to the homogeneous sows one by one according to the selection index priority; S44: Randomly assign candidate boars to the remaining sows and formulate a mating plan.

[0010] Furthermore, the S42 includes the following sub-steps: S421: adding a standard deviation to the selection index of the boars with unique bloodline among the boars to be mated, to obtain the latest selection index of the boars with unique bloodline, wherein the standard deviation is calculated based on the remaining boars to be mated; S422: Sort the latest selection index of boars with unique bloodlines from high to low, classify the boars, and adjust the grades; S423: Based on the adjustment results, calculate the highest and lowest allocation times for each boar, work out the average theoretical allocation times for each boar, and complete the boar grading.

[0011] Furthermore, in S422, the boars are classified into the following grades: Grade A: The latest selection index of boars is ≤20%; Grade B: 20%< latest boar selection index ≤ 40%; Grade C: 40%< latest boar selection index ≤ 60%; Grade D: 60%< latest boar selection index ≤ 80%; Grade E: 80%< latest boar selection index ≤ 100%.

[0012] Furthermore, the average theoretical number of allocations per boar in S423 is: The average theoretical number of allocations for boars in Class A is ; The average theoretical number of allocations for boars in class B is ; The average theoretical number of allocations for boars in class C is ; The average theoretical number of allocations for boars in class D is ; The average theoretical number of allocations for boars in class E is ; Number of boar allocations The calculation formula is: .

[0013] Furthermore, the mating plan table in S5 includes a "candidate boar summary table" and a "one-dimensional mating table".

[0014] In addition, the present invention also adopts a technical solution: a selection system for a core group of pigs, characterized in that it includes: A data preprocessing module, wherein the data processing module is used to obtain the boar group, the sow group, the basic information of the boar group and the basic information of the sow group to be selected as raw data; A parameter setting module, which is used to set matching rules and matching requirements; A user interaction module, which is used to prompt the user to remove sows and boars that are not suitable for mating in the original data according to the matching rules and matching requirements; A data processing module, which is used to analyze and process the data of the sows and boars that can be mated, assign candidate boars to each sow to be mated, and formulate a mating plan; The tabulation output module is used to formulate a matching plan table according to the matching plan and output it.

[0015] The beneficial effects of the present invention are: The mating plan covers all sow groups to be mated, and supports not only homogeneous mating but also random mating. It can ensure the acceleration of genetic progress while maintaining group diversity and effectively controlling the increase in inbreeding in the group.

[0016] All incompatible combinations are eliminated through the inbreeding coefficient threshold, historical mating combinations, combinations with offspring selection index lower than one standard deviation, the maximum number of pure breeding litters for boars, and the age limit of boars; and the boars are graded according to the number of bloodlines, index, and number of pure breeding litters (five grades: A, B, C, D, and E), and the minimum and maximum number of allocations are set for each grade of boars. The number of allocations decreases with the grade, so as to avoid waste of resources caused by repeated breeding while allowing new boars in the group to participate in breeding as soon as possible, shortening the era interval to the maximum extent, and finely controlling their frequency in the group according to the selection index.

[0017] In the matching designation, homogeneous matching prioritizes boars and sows according to their blood relationship and index, and completes the allocation of the best candidate boars one by one according to the priority of sows, ensuring accurate matching of the best while covering all excellent blood relationships. Random matching completely randomly sorts the sows and then allocates candidate boars. After allocating one candidate, the next candidate will be allocated. The minimum and maximum allocation times of each candidate for all boars are the same. When allocating each candidate, the minimum number of times for each boar is met first, and then the maximum number is met randomly. All boars are included in each candidate as much as possible to avoid waste of germplasm resources and increase population diversity. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 The present invention is a flow chart of a method for selecting a core group of pigs.

[0019] Figure 2 Flowchart of data preprocessing module and parameter processing module.

[0020] Figure 3 Flowchart of user interaction module, data processing module and tabulation output module. DETAILED DESCRIPTION

[0021] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0022] Embodiment 1, as Figure 1 As shown, a method for selecting a core group of pigs comprises the following steps: S1: using the data preprocessing module to obtain the boar group, sow group, basic information of the boar group and basic information of the sow group to be selected as raw data; S2: Use the parameter setting module to set matching rules and matching requirements; S3: using the user interaction module to prompt the user to remove sows and boars that are not suitable for mating in the original data according to the mating rules and mating requirements; S4: Based on the prompt results, the data processing module is used to analyze and process the data of the sows and boars that can be mated, assign candidate boars to each sow to be mated, and formulate a mating plan; S5: Use the tabulation output module to formulate a matching plan according to the matching plan, and output it to complete the matching of the core group of pigs.

[0023] The basic information of the boar group and the sow group in S1 include breed, strain, status, number of litters bred, selection index, age, parity, offspring deformity, inbreeding coefficient between sows and boars, and offspring selection coefficient, where the offspring selection coefficient defaults to the average of the sum of boars and sows, and supports customization (excel file import and replacement).

[0024] In this embodiment, Figure 2 As shown, the list of boars and sows to be mated and their basic information (including 15-digit standard individual number, farm number, selection index, age, breed and strain, number of purebred litters, deformity of offspring, etc.) can be directly screened out through the pig farm, breeding pig status (boar status and sow status), and status days. Then click to calculate the inbreeding coefficient between each pair (limited to the same breed) and the latest blood relationship of the individuals to be mated to complete the preparation of the original data. The program supports direct docking with the original data interface, or embedding in breeding software, and also supports the access of the required original data in excel format according to the template. Domestic and foreign breeding software (iGBS, CCSI, PigData, Kaifu, Micro Pig, Golden Seed, etc.) can download the information required for the original data. If the original data is imported through the excel template, the inbreeding coefficient and blood relationship / pedigree between each pair need to be added.

[0025] Calculate the progeny selection index between boars and sows. The default value is the average of the sum of the boar and sow selection indexes. It supports customization (excel file import and replacement) and partial replacement. The program automatically searches the imported file information for the corresponding progeny index through the boar and sow combined ear number information. If it is not found, it is calculated by default. So far, the basic information of the boars and sows to be mated and the inbreeding coefficients and progeny indexes of all their pairwise combinations are obtained.

[0026] The inbreeding coefficient is calculated using the pedigree method, and the formula is:

[0027] in, For individuals The inbreeding coefficient, For individuals The inbreeding coefficient of the father, For individuals The inbreeding coefficient of the mother, For individuals The coefficient of relatedness between the parents, is the inbreeding coefficient of the common ancestor of the parents.

[0028] In this embodiment, the parameter setting module is used to set the mating rules and mating requirements, including the number of candidate boars (default 5), that is, the number of candidate boars assigned to each sow to be mated, the inbreeding threshold setting (default 0.03), the breeding combination exceeding this coefficient cannot be bred, the homogeneous mating ratio setting (default 0.2), indicating the proportion of sows to be mated selected for homogeneous mating, and the ratio is directly rounded when it is not a positive integer, the upgrade breeding litter limit (default 10), indicating that if the boar's pure breeding litter number is lower than this limit, it will be upgraded to one level above its original classification level, increasing its mating times, and the maximum breeding litter limit (default 50), indicating that boars exceeding this breeding litter number need to be removed from the breeding plan and no longer used for pure breeding of the core group (GGP).

[0029] The user interaction module is used to prompt the user how many sows and boars will be eliminated according to the rules; how many sows will be used for homogeneous mating; the bloodlines that are not involved in homogeneous mating; how many boars have not reached the candidate number; how many sows have less than 3 candidate boars, etc., to promptly verify whether the pigs covered by the mating, bloodlines and number of allocated candidate boars meet the requirements. The user can choose to continue or terminate the operation according to the prompts.

[0030] The S4 includes the following sub-steps: S41: based on the prompt result, eliminating the combinations of sows and boars that cannot be mated, and obtaining the combinations of sows and boars that can be mated; like Figure 3 As shown, the combinations of sows and boars that cannot be mated are eliminated, including inbreeding, mating combinations, combinations with offspring index lower than one standard deviation, combinations with boars having pure bred litters exceeding the maximum breeding litter limit, and combinations with boars over 700 days old. After culling, count how many sows and boars to be mated are not in the above-mentioned mating combinations. The interactive interface prompts "How many sows are culled and not mating! How many boars are culled and not mating!" The user can click "Continue" or "Terminate" to proceed to the next step, or return to the parameter setting step if terminated; S42: Based on the available sow and boar combinations, boars are graded; S43: Based on the grading results, homogeneous sows are screened, and candidate boars are allocated to the homogeneous sows one by one according to the selection index priority; S44: Randomly assign candidate boars to the remaining sows and formulate a mating plan.

[0031] The S42 includes the following sub-steps: S421: adding a standard deviation to the selection index of the boars with unique bloodline among the boars to be mated, to obtain the latest selection index of the boars with unique bloodline, wherein the standard deviation is calculated based on the remaining boars to be mated; S422: Sort the latest selection index of boars with unique bloodlines from high to low, classify the boars, and adjust the grades; S423: Based on the adjustment results, calculate the highest and lowest allocation times for each boar, work out the average theoretical allocation times for each boar, and complete the boar grading.

[0032] In S422, boars are classified into the following grades: Grade A: The latest selection index of boars is ≤20%; Grade B: 20%< latest boar selection index ≤ 40%; Grade C: 40%< latest boar selection index ≤ 60%; Grade D: 60%< latest boar selection index ≤ 80%; Grade E: 80%< latest boar selection index ≤ 100%.

[0033] Then the grade adjustment will be carried out, and the boars whose pure breeding litters are lower than the upgrade breeding litter limit will be upgraded to the previous grade boars, and the boars at the end of the previous grade will be downgraded by one grade.

[0034] The average theoretical number of distributions per boar in S423 is: The average theoretical number of allocations for boars in Class A is (Round up); The average theoretical number of allocations for boars in class B is (Round up); The average theoretical number of allocations for boars in class C is (rounding); The average theoretical number of allocations for boars in class D is (Round down); The average theoretical number of allocations for boars in class E is (Round down); Number of boar allocations The calculation formula is: .

[0035] Homogeneous mating in S43 includes: (1) calculating the number of homogeneous mating sows as the product of the number of sows to be mated and the homogeneous mating ratio, rounded to the integer; (2) selecting homogeneous mating sows: the sows to be mated are sorted by selection index, and the sow with the highest blood index is selected from high to low until the selection is completed; if the number of homogeneous mating sows is higher than the blood number, the sow with the second highest blood index is selected from high to low again according to the index until the selection is completed. After the final selection is completed in the above cycle, the sows are re-sorted from high to low according to the index (no index or no blood information is not selected); (3) the boar with the first blood index in each A and B grade boar is selected and ranked according to the selection index, and the remaining A and B grade boars are ranked according to the index, and the C, D, and E boars are ranked last according to the selection index; (4) calculating each candidate boar of A and B grade as each The number of candidates is calculated based on the number of sows with the same quality / the number of boars of grade A and B. If ≥1, each sow is assigned an integer number of candidates, and the remaining number of candidates is assigned according to the boar ranking. If <1, each boar is assigned once. (5) Homogeneous selection and assignment: sows select 5 candidate boars from grade A and B boars in order of selection index priority (the boar priority is sorted according to (3)). Sows of the same bloodline are not assigned the same candidate boar. Once the number of candidates for each boar is used up, no more candidates will be assigned. (6) If the number of candidate boars for homogeneous selection and assignment is less than 3, the number of candidates for grade A and B boars is increased by 1, and the sows select candidate boars according to priority to make up 3 candidates (the candidate boars are sorted according to the selection order). If the number of candidates still cannot be made up, they will be made up from grade C, D, and E boars (grade C, D, and E boars are sorted by index). The total number of assignments for each boar shall not exceed the average theoretical allocation number. (7) Statistical verification of homogeneous mating results: Through interactive prompts such as "the number of sows participating in homogeneous mating, the number of bloodlines, and the bloodlines that did not participate in homogeneous mating; the number of boars participating in homogeneous mating among grade A and B boars, the number of bloodlines, and the bloodlines that did not participate in homogeneous mating", users can click "Continue" or "Terminate" to proceed to the next step, or return to the parameter setting if they terminate.

[0036] In S44, the remaining sows are randomly assigned candidate boars, including (1) recalculating the available assignment frequency of each boar, and subtracting the number of times the same type of boar is used for mating from the highest and lowest numbers; (2) randomly sorting the remaining sows to be mated; (3) calculating the number of assignments of each boar as each candidate: the lowest and highest assignments are divided by the number of candidate boars, with the lowest number rounded down and the highest number rounded up; (4) each sow is randomly assigned candidate 1, and each boar will no longer be assigned after it has met the number of assignments for each candidate (prioritize each boar to meet the minimum number of assignments before randomly meeting the maximum number of assignments), until each sow has one candidate 1 and each boar is a candidate; (5) each sow is randomly assigned candidate 2, candidate 3, candidate 4, and candidate 5 in the same manner as above. Each candidate allocation is cycled 100 times. If there are still sows without candidates, they will be randomly allocated with boars that can be mated; if there are still boars that have not reached the minimum frequency, they will be randomly allocated with sows that can be mated according to the minimum specified number; if the minimum number of times a boar is used as a candidate is 0, some boars of the same level will be randomly used, and the unused boar candidate 2 will be allocated first, and so on, and all boars will be included in the candidates as much as possible. (6) Statistical verification of random selection results: through the interactive prompt "How many boars have not reached the candidate number; how many sows have less than 3 candidate boars", the user can click "Continue" or "Terminate" to proceed to the next step, and terminate to return to the parameter setting.

[0037] The mating plan table in S5 includes a "candidate boar summary table" and a "one-dimensional mating table".

[0038] Combine all the above mating results and formulate a mating plan table in excel format. The result table includes two sheets: "Summary of Candidate Boars" and "One-dimensional Matching Table". The output "Summary of Candidate Boars" is used for the boar house to understand the boar grading and expected number of matings in advance, including boar ear number, index, blood relationship, number of pure breeding litters, grade, number of candidates 1, candidate 2, candidate 3..., recommended number of mating litters, and sorting from high to low by grade and index; the output "One-dimensional Matching Table" is used to make mating plans in time according to the estrus results, and is convenient for verification and tracking. Each sow and each candidate boar are output in one row, with the order of sows in homogeneous mating order first (blue font) and random order in the back; the order of boars is sorted in order of candidate 1, candidate 2..., etc., including basic information and the "offspring selection index", "number of sow candidates", "boar grade", "candidate sorting", and "recommended number of mating litters for boars" of the mating combination. After completion, the interactive prompt "Complete matching table preparation" will appear; then click Download to jump to the download interface to set the download path, click Confirm to complete the download, and it can be directly used for on-site matching execution.

[0039] The "Summary Table of Candidate Boars" and "One-Dimensional Matching Table" output by the present invention are convenient for pre-breeding preparation and on-site execution, and can perform matching in the order of candidates by screening the "candidate ranking", and through the "recommended number of breeding litters for boars" prompt, it can avoid the matching being unable to be performed, and can also prevent the human factors from being involved in the execution due to more than one candidate boar, and the centralized execution of certain boars, which will cause the artificial change of the frequency of boar use and lead to execution deformation.

[0040] Embodiment 2, a system for selecting a core group of pigs, characterized by comprising: A data preprocessing module, wherein the data processing module is used to obtain the boar group, the sow group, the basic information of the boar group and the basic information of the sow group to be selected as raw data; A parameter setting module, which is used to set matching rules and matching requirements; A user interaction module, which is used to prompt the user to remove sows and boars that are not suitable for mating in the original data according to the matching rules and matching requirements; A data processing module, which is used to analyze and process the data of the sows and boars that can be mated, assign candidate boars to each sow to be mated, and formulate a mating plan; The tabulation output module is used to formulate a matching plan table according to the matching plan and output it.

[0041] The present invention can complete the formulation of a matching plan within 1 minute. Compared with the traditional manual formulation of a matching plan, it can free up several hours of working time for breeders, avoid errors caused by human factors and the instability of production levels that vary from person to person, and users can master it smoothly and quickly even if they use it for the first time.

[0042] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the invention.

Claims

1. A method for selecting a core group of pigs, characterized in that: The following steps are involved: S1: using the data preprocessing module to obtain the boar group, sow group, basic information of the boar group and basic information of the sow group to be selected as raw data; S2: Use the parameter setting module to set matching rules and matching requirements; S3: using the user interaction module to prompt the user to remove sows and boars that are not suitable for mating in the original data according to the mating rules and mating requirements; S4: Based on the prompt results, the data processing module is used to analyze and process the data of the sows and boars that can be mated, assign candidate boars to each sow to be mated, and formulate a mating plan; S5: Use the tabulation output module to formulate a matching plan according to the matching plan, and output it to complete the matching of the core group of pigs.

2. The method for selecting a core group of pigs according to claim 1, characterized in that: The basic information of the boar group and the sow group in S1 include breed, strain, status, number of litters bred, selection index, age, parity, offspring deformity, inbreeding coefficient between sows and boars, and offspring selection coefficient.

3. The method for selecting a core group of pigs according to claim 2, characterized in that: The inbreeding coefficient is calculated using the pedigree method, and the formula is: in, For individuals The inbreeding coefficient, For individuals The inbreeding coefficient of the father, For individuals The inbreeding coefficient of the mother, For individuals The coefficient of relatedness between the parents, is the inbreeding coefficient of the common ancestor of the parents.

4. The method for selecting a core group of pigs according to claim 1, characterized in that: The S4 comprises the following sub-steps: S41: based on the prompt result, eliminating the combinations of sows and boars that cannot be mated, and obtaining the combinations of sows and boars that can be mated; S42: Based on the available sow and boar combinations, boars are graded; S43: Based on the grading results, homogeneous sows are screened, and candidate boars are allocated to the homogeneous sows one by one according to the selection index priority; S44: Randomly assign candidate boars to the remaining sows and formulate a mating plan.

5. The method for selecting a core group of pigs according to claim 4, characterized in that: The S42 includes the following sub-steps: S421: adding a standard deviation to the selection index of the boars with unique bloodline among the boars to be mated, to obtain the latest selection index of the boars with unique bloodline, wherein the standard deviation is calculated based on the remaining boars to be mated; S422: Sort the latest selection index of boars with unique bloodlines from high to low, classify the boars, and adjust the grades; S423: Based on the adjustment results, calculate the highest and lowest allocation times for each boar, work out the average theoretical allocation times for each boar, and complete the boar grading.

6. The method for selecting a core group of pigs according to claim 5, characterized in that: In S422, boars are classified into the following grades: Grade A: The latest selection index of boars is ≤20%; Grade B: 20%< latest boar selection index ≤ 40%; Grade C: 40%< latest boar selection index ≤ 60%; Grade D: 60%< latest boar selection index ≤ 80%; Grade E: 80%< latest boar selection index ≤ 100%.

7. The method for selecting a core group of pigs according to claim 5, characterized in that: The average theoretical number of distributions per boar in S423 is: The average theoretical number of allocations for boars in Class A is ; The average theoretical number of allocations for boars in class B is ; The average theoretical number of allocations for boars in class C is ; The average theoretical number of allocations for boars in class D is ; The average theoretical number of allocations for boars in class E is ; Number of boar allocations The calculation formula is: 。 8. The method for selecting a core group of pigs according to claim 1, characterized in that: The mating plan table in S5 includes a "candidate boar summary table" and a "one-dimensional mating table".

9. A matching system for a core group of pigs according to any one of claims 1 to 8, characterized in that: include: A data preprocessing module, wherein the data processing module is used to obtain the boar group, the sow group, the basic information of the boar group and the basic information of the sow group to be selected as raw data; A parameter setting module, which is used to set matching rules and matching requirements; A user interaction module, which is used to prompt the user to remove sows and boars that are not suitable for mating in the original data according to the matching rules and matching requirements; A data processing module, which is used to analyze and process the data of the sows and boars that can be mated, assign a candidate boar to each sow to be mated, and formulate a mating plan; The tabulation output module is used to formulate a matching plan table according to the matching plan and output it.

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