CN111312335A - Soybean parent selection method, soybean parent selection device, storage medium and electronic equipment - Google Patents
Soybean parent selection method, soybean parent selection device, storage medium and electronic equipment Download PDFInfo
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Abstract
The application provides a soybean parent selection method, a soybean parent selection device, a storage medium and electronic equipment, which relate to the technical field of plant hybridization, and the method comprises the following steps: acquiring all combinations of the soybean germplasm resources to be detected and each soybean germplasm resource to be detected in each combination; determining the evaluation grade of each combination based on the soybean target trait value of each combination obtained by the intragroup hybridization result of each combination; determining the evaluation result of each soybean germplasm resource to be tested based on the evaluation grade of each combination to which each soybean germplasm resource to be tested belongs; the soybean parent was determined based on the evaluation results. According to the method and the device, the soybean target property values of the combination to which the same soybean germplasm resource to be detected belongs are integrated to be used as a basis for selecting the soybean parents, the high-quality soybean parents can be screened from a plurality of soybean germplasm resources, the automatic screening of the soybean parents is realized, the efficiency of screening the soybean parents can be improved, and the soybean target property is improved.
Description
Technical Field
The application relates to the technical field of plant hybridization, in particular to a soybean parent selection method, a soybean parent selection device, a storage medium and electronic equipment.
Background
The utilization of hybrid vigor is a technological innovation with great significance in world agricultural science and technology and production practice. Heterosis has been widely used in gramineae, solanaceae, cruciferae and other crops, and great economic and social benefits are generated.
The genetic research of the soybean heterosis in China has a large gap compared with the crops such as corn, rice and the like. Although some research reports on the heterosis of soybean, the method is not deep and systematic, and has limited guidance on hybrid breeding practice. The determination of the hybridization combination preparation mode in the current soybean heterosis utilization is mainly carried out by: according to breeding practice, through hybridization of a large amount of parent materials, excellent combinations are screened through actual performance of combining ability and heterosis; secondly, according to the experience of a breeder, through analyzing the geographical source and the genetic relationship of parent materials, the standard for selecting the parents is established, but the actual hybridization combination F1The performance of the generation target character value still needs to be obtained by tests.
At present, the heterosis utilization and hybridization combination mode of soybean mainly screens parents through target property values of the parents and other corresponding properties, geographical sources, affinity relations and the like according to the experience of a breeder. Selecting male parent and female parent for hybridization combination, and hybridizing F1Substitute of realityThe heterosis of the combination is determined by field performance, but a large amount of tests and working cost are required to be invested, and the problem that the breeding target according to the soybean target character value is influenced due to low parent selection efficiency exists.
Disclosure of Invention
Embodiments of the present application provide a method, an apparatus, a storage medium, and an electronic device for selecting soybean parents, so as to alleviate the problem that the efficiency is low when the prior art selects the parents, thereby affecting the target properties of soybean breeding.
Embodiments of the present application provide a method of soybean parent selection, the method comprising:
acquiring all combinations of the soybean germplasm resources to be detected and each soybean germplasm resource to be detected in each combination; determining the evaluation grade of each combination based on the soybean target trait value of each combination obtained by the intragroup hybridization result of each combination; determining an evaluation result of each soybean germplasm resource to be tested based on the evaluation grade of each combination to which each soybean germplasm resource to be tested belongs; determining the soybean parent based on the evaluation result.
In the implementation process, the soybean target property values of the combination to which the same soybean germplasm resource to be tested belongs are integrated to be used as a basis for selecting the soybean parents, so that the high-quality soybean parents can be screened from a plurality of soybean germplasm resources, the automatic screening of the soybean parents is realized, the efficiency of screening the soybean parents can be improved, and the goal of breeding the soybean target property is achieved.
Optionally, said determining the evaluation grade of each said combination based on the soybean target trait value under each said combination obtained from the intra-group crossing result of each said combination comprises:
dividing the combination into a plurality of maturity categories according to the growth period; sequencing the target property values of the soybeans obtained by the combined hybridization in the same ripening stage and the same production point from high to low in a graded manner; and respectively determining the evaluation grades of all combinations in each maturity class according to the sequencing result.
In the implementation process, the target property values of the soybeans obtained by the combination hybridization in the same maturity period and the same production testing point are sequenced from high to low, so that the target property values of the soybeans after the combination hybridization can be distinguished, and the accuracy of obtaining the combination evaluation grade is improved.
Optionally, the determining the evaluation result of each soybean germplasm resource to be tested based on the evaluation grade of each combination to which each soybean germplasm resource to be tested belongs includes:
respectively counting the evaluation grades of all the combinations in which each soybean germplasm resource to be detected participates in each maturity stage to obtain the number of each evaluation grade of each soybean germplasm resource to be detected in each maturity stage; and sequencing all the soybean germplasm resources to be tested according to the number of the highest evaluation grades of each soybean germplasm resource from high to low to obtain the evaluation result of each maturity class.
In the implementation process, the evaluation grade of the combination in which each soybean germplasm resource to be detected participates is counted, so that the evaluation accuracy of each soybean germplasm resource to be detected can be improved.
Optionally, said selecting soybean parents based on said evaluation results comprises:
and selecting the soybean germplasm resources to be tested positioned at the high level of the evaluation result as the soybean parents of each maturity class based on the target character value requirement according to the evaluation result of each maturity class.
In the implementation process, according to the evaluation result, the soybean germplasm resources ranked at a high level are selected as the soybean parents, so that the soybean germplasm resources with excellent performance can be screened out, and the reliability of screening the soybean parents is improved.
Optionally, the determining the maturity class includes an early maturity stage, and the counting the evaluation levels of all the combinations in which each of the soybean germplasm resources to be tested participates in each of the maturity classes to obtain the number of each evaluation level of each of the soybean germplasm resources to be tested in each of the maturity classes includes:
backcrossing the group of contract maintainer lines in the early maturing class to obtain a first filial generation, and dividing parents in the group into a restorer line and a sterile line according to a pollen fertility identification result of the first filial generation obtained by backcrossing the group of contract maintainer lines, wherein the female parent in the group is the sterile line, and the male parent in the group is the restorer line; and counting the evaluation grades in all the combinations in which the restoring line and each soybean germplasm resource to be detected under the sterile line in the early maturing class participate to obtain the number of each grade of each soybean germplasm resource to be detected under the restoring line in the early maturing class and the number of each grade of each soybean germplasm resource to be detected under the sterile line in the early maturing class.
In the implementation process, the combination is divided into a restoring line and a sterile line, so that the sterile line and the restoring line can be subjected to independent quality analysis respectively, and the reliability of parent soybean germplasm resource selection is improved.
Embodiments of the present application provide a soybean parent selection device, comprising:
the acquisition module is used for acquiring all combinations of the soybean germplasm resources to be detected and each soybean germplasm resource to be detected in each combination of the soybean germplasm resources to be detected; the evaluation module is used for determining the evaluation grade of each combination based on the soybean target trait value of each combination obtained by the intragroup hybridization result of each combination; the generation module is used for determining the evaluation result of each soybean germplasm resource to be tested according to the evaluation grade of each combination to which each soybean germplasm resource to be tested belongs; a selection module for determining a soybean parent based on the evaluation result.
In the implementation process, the soybean target character values of the combination to which the same soybean germplasm resource to be tested belongs are integrated to be used as the basis for selecting the soybean parents, so that the high-quality soybean parents can be screened from a plurality of soybean germplasm resources, the automatic screening of the soybean parents is realized, the efficiency of screening the soybean parents can be improved, and the target character breeding goal is achieved.
Optionally, the evaluation module is specifically configured to: dividing the combination into a plurality of maturity categories according to the growth period; sequencing the target property values of the soybeans obtained by the combined hybridization in the same ripening stage and the same production point from high to low in a graded manner; and respectively determining the evaluation grades of all combinations in each maturity class according to the sequencing result.
In the implementation process, the target property values of the soybeans obtained by the combination hybridization in the same maturity period and the same production testing point are sequenced from high to low, so that the target property values of the soybeans after the combination hybridization can be distinguished, and the accuracy of obtaining the combination evaluation grade is improved.
Optionally, the generating module is specifically configured to: respectively counting the evaluation grades of all the combinations in which each soybean germplasm resource to be detected participates in each maturity stage to obtain the number of each evaluation grade of each soybean germplasm resource to be detected in each maturity stage; and sequencing all the soybean germplasm resources to be tested according to the number of the highest evaluation grades of each soybean germplasm resource from high to low to obtain the evaluation result of each maturity class.
In the implementation process, the evaluation grade of the combination in which each soybean germplasm resource to be detected participates is counted, so that the evaluation accuracy of each soybean germplasm resource to be detected can be improved.
Optionally, the selection module is specifically configured to: and selecting the soybean germplasm resources to be tested positioned at the high level of the evaluation result as the soybean parents of each maturity class based on the target character value requirement according to the evaluation result of each maturity class.
In the implementation process, according to the evaluation result, the soybean germplasm resources ranked at a high level are selected as the soybean parents, so that the soybean germplasm resources with excellent performance can be screened out, and the reliability of screening the soybean parents is improved.
Optionally, the generating module is specifically configured to: backcrossing the group of contract maintainer lines in the early maturing class to obtain a first filial generation, and dividing parents in the group into a restorer line and a sterile line according to a pollen fertility identification result of the first filial generation obtained by backcrossing the group of contract maintainer lines, wherein the female parent in the group is the sterile line, and the male parent in the group is the restorer line; and counting the evaluation grades in all the combinations in which the restoring line and each soybean germplasm resource to be detected under the sterile line in the early maturing class participate to obtain the number of each grade of each soybean germplasm resource to be detected under the restoring line in the early maturing class and the number of each grade of each soybean germplasm resource to be detected under the sterile line in the early maturing class.
In the implementation process, the combination is divided into a restoring line and a sterile line, so that the sterile line and the restoring line can be subjected to independent quality analysis respectively, and the reliability of parent soybean germplasm resource selection is improved.
Embodiments of the present application provide a storage medium having stored therein computer program instructions, which, when executed by a processor, perform the steps of any of the above-described methods.
An embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores program instructions, and the processor executes the program instructions to perform any one of the steps of the method.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Fig. 1 is a flowchart of the steps of a method for selecting soybean parents according to the present embodiment.
Fig. 2 is a flowchart of a step of determining a combined evaluation grade according to an embodiment of the present application.
Fig. 3 is a flowchart illustrating steps of determining evaluation results of soybean germplasm resources according to an embodiment of the present disclosure.
Fig. 4 is a flowchart of the number steps for obtaining each evaluation level of each soybean germplasm resource to be tested in each maturity stage according to the embodiment of the present application.
Fig. 5 is a schematic diagram of a soybean parent selection device provided in an embodiment of the present application.
Icon: 50-soybean parent selection device; 501-an obtaining module; 502-an evaluation module; 503-a generating module; 504-selection module.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
An embodiment of the present application provides a method for selecting soybean parents, please refer to fig. 1, and fig. 1 is a flowchart illustrating steps of the method for selecting soybean parents provided in the embodiment of the present application. The method comprises the following steps:
step S1: and acquiring all combinations of the soybean germplasm resources to be detected and each soybean germplasm resource to be detected in each combination.
Wherein each combination comprises a female parent and a male parent which have the same or different soybean germplasm resources.
Optionally, in order to conveniently represent different soybean germplasm resources to be tested and combinations of the soybean germplasm resources to be tested, the soybean germplasm resources and the combinations of the soybean germplasm resources to be tested are numbered, for example, the soybean germplasm resources include different germplasm resources such as JLR1, JLR2, … JLR514, JLCMS1A, JLCMS2A, … JLCMS 334A. Each combination configuration number (combination number) is in the format: hxx-yyy, wherein xx-yyy represents the production test performed on the yyy hybrid combination configured in the hive in xx years, for example, H16-023 is 2017 for the 023 hybrid combination configured in the hive in 2016 (the combination number is the year of the configured combination, but the production test task is actually performed for the next year of the combined configured year). It is understood that the soybean germplasm resources and combinations to be tested are obtained from soybean crossbreeding over the years.
Step S2: and determining the evaluation grade of each combination based on the soybean target trait value of each combination obtained by the intragroup hybridization result of each combination.
Referring to fig. 2, fig. 2 is a flowchart illustrating a step of determining a combined rating according to an embodiment of the present application.
Optionally, since different soybean germplasm resources have different maturity stages, dividing the soybean germplasm resources into different maturity classes can further improve the evaluation accuracy. Step S2 may be divided into the following sub-steps:
step S21: the combination is divided into a plurality of maturity categories according to the growth period.
As an embodiment, all combinations may be classified into a very early group, an early group, a medium late group, a late group, and the like in terms of the growth period. In the same maturation period, the hybridization combinations prepared at each site are the same.
Step S22: and (3) sequencing the target property values of the soybeans obtained by the hybridization of all combinations in the same mature period and the same test point from high to low in a graded manner.
Step S23: and respectively determining the evaluation grades of all combinations in each maturity class according to the sequencing result.
In step S22 and step S23, as an embodiment, the target traits include fat content, protein content, yield trait, etc., in the examples provided herein, taking soybean yield as an example, soybean yield data obtained by all combinations of yield measurements at the same maturity and the same yield point are ranked from high to low, the combination of soybean yields 25% (including 25%) before the combination crossing is ranked as a first rank, and the evaluation code of the first rank is set as a. The combinations in which the soybean yields after the combination crossing were between 26% and 50% (including 50%) were classified into the second rank, and the evaluation code of the second rank was set as B. The combinations with soybean yields of 51-75% (including 75%) after the combination crossing were classified into the third rank, and the evaluation code of the third rank was C. The combinations after the yield of the combined hybrid soybeans became 76% were classified into the fourth grade, and the evaluation code of the fourth grade was set as D. The combination in which the yield data is not obtained due to various factors is classified into a fifth grade, and the evaluation code of the fifth grade is set as E.
It should be understood that, in addition to ranking combinations according to their soybean target trait values after combinatorial crossing, a target trait may also be the survival rate of progeny resulting from combinatorial crossing, with combinations being classified in one, two, three, etc. stages based on the survival rate of progeny resulting from combinatorial crossing.
Continuing with fig. 1, step S3: and determining the evaluation result of each soybean germplasm resource to be tested based on the evaluation grade of each combination to which each soybean germplasm resource to be tested belongs. Fig. 3 is a flowchart illustrating steps of determining evaluation results of soybean germplasm resources according to an embodiment of the present disclosure. Optionally, step S3 is divided into the following sub-steps:
step S31: and respectively counting the evaluation grades of all the combinations in which each soybean germplasm resource to be tested participates in each maturity stage to obtain the number of each evaluation grade of each soybean germplasm resource to be tested in each maturity stage.
As shown in tables 1 and 2 below, table 1 shows the evaluation scores of the precocity group combinations in the test point 1 in 2001, and table 2 shows the evaluation scores of the precocity group combinations in the test point 2 in 2001.
TABLE 1
TABLE 2
| Combination number | Parent strain | Rating of evaluation |
| H01-021 | JLCMS117A×JLR1 | C |
| H01-022 | JLCMS42A×JLR65 | D |
| H01-023 | JLCMS133A×JLR321 | E |
| H01-024 | JLCMS106A×JLR28 | C |
| H01-025 | JLCMS112A×JLR291 | B |
| H01-026 | JLCMS99A×JLR95 | C |
| H01-027 | JLCMS95A×JLR22 | B |
| H01-028 | JLCMS115A×JLR163 | D |
| H01-029 | JLCMS21A×JLR289 | A |
| H01-030 | JLCMS61A×JLR28 | E |
| ... | ... | ... |
In tables 1 and 2, by summarizing all combinations of JLCMS117A, and counting all evaluation codes in 2001, table 3 can be obtained:
TABLE 3
Step S32: and sequencing all the soybean germplasm resources to be tested according to the number of the highest evaluation grades of each soybean germplasm resource from high to low to obtain the evaluation result of each maturity class.
The evaluation results of JLCMS117A were 3C and 1D, in combination with the number of combinations corresponding to the evaluation codes shown in table 3. And (4) counting the evaluation grade of each soybean germplasm resource to be tested to obtain a corresponding evaluation result.
Continuing with fig. 1, step S4: the soybean parent was determined based on the evaluation results.
Optionally, step S4 includes: and selecting the soybean germplasm resources to be detected which are positioned at the high level of the evaluation result as the soybean parents of each maturity class based on the target character value requirement according to the evaluation result of each maturity class.
For example, after the evaluation results of all the soybean germplasm resources to be tested are obtained, the soybean germplasm resources to be tested are sorted from high to low according to the number of A, B, C, D, E, for example, the soybean germplasm resources to be tested with the evaluation results of 41A, 23B, 40C, 21D and 52E are positioned before the soybean germplasm resources to be tested with the evaluation results of 30A, 23B, 21C, 21D and 34E. And preferentially selecting the soybean germplasm resources to be detected which are positioned at the high position in the sequence as soybean parents.
Each combinatorial hybridization F obtained in this example1The measured value of the generation production data is based on heterogeneous population with broad genetic basis, and comprehensive analysis is carried out on the combining ability of the applied soybean germplasm resources through a large number of combined preparations (more than 8300).
Plant breeding practices have shown that plant parents often do not behave in concert with their progeny, and that some parents perform well in themselves, but the progeny of the cross produced are not ideal. In contrast, some parents do not perform particularly well by themselves, but can isolate very good individuals or combinations from their progeny of a cross, i.e., good germplasm resources are not necessarily good parents. This difference in progeny, which is manifested by different combinations of parents, indicates that there is a different combination ability between the different parents, which is called combining ability. The quality of the combination and the parents can be preliminarily identified in earlier generations by applying the combining ability analysis, so that a breeder can greatly reduce the range of processing materials, save the breeding time and improve the breeding efficiency. Tianpei (1985) passed many years of soybean breeding trials, which suggest that: the good progeny of the first generation are not all good, but the poor progeny of the first generation are substantially less good.
Sprague and Tatum in 1942 proposed the concept of general and specific combining ability based on genetic studies on maize quantitative traits and cross breeding experience. Griffing performed comprehensive organization and study of the dual column design in 1956 to make it more systematic and complete. When the method is applied to the preparation of hybrid soybean parent combination, a large number of NC-II tests of two parents and triple test design are needed to obtain the corresponding combining ability effect value of each germplasm resource (the general combining ability effect value of the parents and the special combining ability effect value of the hybrid combination). For 334 sterile lines, 514 restorer lines, this would involve a very large amount of work.
In the steps, parent selection is carried out only by carrying out systematic analysis on the target character value of the soybeans obtained after the soybeans in the same mature period and the same yield point are combined and hybridized, the efficiency of screening soybean parents is improved, the blindness of soybean combination is reduced, and the process of guiding the breeding of the target characters is accelerated.
Further, since the combination of different maturity classes can be further divided, for example, the combination in the early maturity class is backcrossed with the maintainer line to obtain a first filial generation, and the parents in the combination are divided into the restorer line and the sterile line according to the pollen fertility identification result of the first filial generation obtained by backcrossing the maintainer line with the combination, wherein the female parent in the combination is the sterile line, and the male parent in the combination is the restorer line, the present embodiment can further refine the evaluation grade according to the combination.
Referring to fig. 4, fig. 4 is a flowchart illustrating the steps of obtaining the evaluation grades of each soybean germplasm resource to be tested in each maturity stage according to the embodiment of the present application. Optionally, step S31 is divided into the following sub-steps:
step S31.1: backcrossing the combination in the early maturing class and the maintainer line to obtain a first filial generation, and dividing the parents in the combination into a restoring line and a sterile line according to a pollen fertility identification result of the first filial generation obtained by backcrossing the maintainer line in the combination, wherein the female parent in the combination is the sterile line, and the male parent in the combination is the restoring line.
Step S31.2: and (4) counting the evaluation grades in all the combinations of the restorer line in the precocity and the germplasm resource of each soybean to be detected under the sterile line to obtain the number of each grade of the germplasm resource of each soybean to be detected under the restorer line in the precocity and the number of each grade of the germplasm resource of each soybean to be detected under the sterile line in the precocity.
It can be understood that the soybean germplasm resources to be detected in each mature class can be divided into a restoring line and a sterile line. In the codes of the soybean germplasm resources to be tested in step S1, JLR1, JLR2, … JLR514 are restorers, and JLCMS1A, JLCMS2A, … JLCMS334A are sterile lines.
It is understood that the sterile line refers to a line which is obtained by crossing the selected male sterile individual soybean germplasm resource with the fertile soybean germplasm resource and then carrying out continuous backcross cultivation, has male sterility characteristics and is uniform. The sterile line is the soybean germplasm resource which can not be bred, usually the abortion of pistil or stamen, and the self-incapable breeding of offspring, and the sterile line applied in production is the abortion of stamen, which is called male sterility. For example, cotton has stamens and pistils in each bud, and can be selfed to fruit and propagate progeny if both buds are well developed. However, if the stamen of the sterile line is aborted, pollen cannot be produced, and if the pollen is not pollinated from other flower buds manually, the sterile line cannot survive.
The restorer line is the material for restoring fertility of the sterile line, and the restorer line and the sterile line are crossed, so that the filial generation can be selfed and fruited, and the restorer line can be applied to commodity production.
In practical production practice, the sterile line and the restorer line also comprise a maintainer line, and the maintainer line can maintain the sterile characteristics of the sterile line, namely, the current generation after the maintainer line and the sterile line are crossed can be crossed and fruited to produce filial generation, but the filial generation is still the sterile line, so that the sterile line can be propagated, and the sterile line material is kept.
The soybean germplasm resources to be detected in each mature class are classified into a sterile line and a maintainer line according to the fertility characteristics, targeted breeding can be performed according to the fertility characteristics of the soybean germplasm resources, the soybean germplasm resources meeting the actual requirements are obtained, and the breeding efficiency and accuracy are improved.
Referring to fig. 5, fig. 5 is a schematic diagram of a soybean parent selection device provided in this embodiment.
The soybean parent selection device 50 includes:
an obtaining module 501, configured to obtain all combinations of the soybean germplasm resources to be tested, and each soybean germplasm resource to be tested in each combination of the soybean germplasm resources to be tested; an evaluation module 502, configured to determine an evaluation grade of each combination based on the soybean target trait value under each combination obtained from the intra-group crossing result of each combination; the generation module 503 is configured to determine an evaluation result of each to-be-tested soybean germplasm resource according to the evaluation level of each combination to which each to-be-tested soybean germplasm resource belongs; a selection module 504 for selecting a soybean parent based on the evaluation determination.
Optionally, the evaluation module 502 is specifically configured to: dividing the combination into a plurality of maturity categories according to the growth period; sequencing the target property values of the soybeans obtained by the hybridization of all combinations in the same mature period and the same test point from high to low in a graded manner; and respectively determining the evaluation grades of all combinations in each maturity class according to the sequencing result.
Optionally, the generating module 503 is specifically configured to: respectively counting the evaluation grades of all the combinations in which each soybean germplasm resource to be tested participates in each maturity stage to obtain the number of each evaluation grade of each soybean germplasm resource to be tested in each maturity stage; and sequencing all the soybean germplasm resources to be tested according to the number of the highest evaluation grades of each soybean germplasm resource from high to low to obtain the evaluation result of each maturity class.
Optionally, the selecting module 504 is specifically configured to: and selecting the to-be-tested soybean germplasm resources at the high level of the evaluation result as the optimal soybean parent of each maturity class based on the target trait value requirement according to the evaluation result of each maturity class.
Optionally, the generating module 503 is specifically configured to: backcrossing the group of contract maintainer lines in the early maturing class to obtain a first filial generation, and dividing parents in the group into a restorer line and a sterile line according to a pollen fertility identification result of the first filial generation obtained by backcrossing the group of contract maintainer lines, wherein a female parent in the group is the sterile line, and a male parent in the group is the restorer line; and (4) counting the evaluation grades in all the combinations of the restorer line in the precocity and the germplasm resource of each soybean to be detected under the sterile line to obtain the number of each grade of the germplasm resource of each soybean to be detected under the restorer line in the precocity and the number of each grade of the germplasm resource of each soybean to be detected under the sterile line in the precocity.
The present embodiment also provides a storage medium, in which computer program instructions are stored, and when the computer program instructions are executed by a processor, the steps in any one of the above methods are executed.
The present embodiment also provides a storage medium, in which computer program instructions are stored, and when the computer program instructions are executed by a processor, the steps in any one of the above methods are executed.
The present embodiment also provides an electronic device, where the electronic device includes a memory and a processor, where the memory stores program instructions, and the processor executes the program instructions to perform the steps in any one of the above methods.
Alternatively, the electronic device may be a Personal Computer (PC), a tablet PC, a smart phone, a Personal Digital Assistant (PDA), or other electronic devices.
In summary, the present application provides a soybean parent selection method, apparatus, storage medium and electronic device, the method comprising: determining the evaluation grade of each combination based on the soybean target trait value of each combination obtained by the intragroup hybridization result of each combination; determining an evaluation result of each soybean germplasm resource to be tested based on the evaluation grade of each combination to which each soybean germplasm resource to be tested belongs; selecting a soybean parent based on the evaluation result.
In the implementation process, the soybean target property values of the combination to which the same soybean germplasm resource to be tested belongs are integrated to serve as the basis for selecting the soybean parents, so that the high-quality soybean parents can be screened from a plurality of soybean germplasm resources, the automatic screening of the soybean parents is realized, the efficiency of screening the soybean parents can be improved, and the goal of breeding the soybean target property values is achieved.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. The apparatus embodiments described above are merely illustrative, and for example, the block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of devices according to various embodiments of the present application. In this regard, each block in the block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams, and combinations of blocks in the block diagrams, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Therefore, the present embodiment further provides a readable storage medium, in which computer program instructions are stored, and when the computer program instructions are read and executed by a processor, the computer program instructions perform the steps of any of the block data storage methods. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A method for selecting soybean parents, comprising:
acquiring all combinations of the soybean germplasm resources to be detected and each soybean germplasm resource to be detected in each combination;
determining the evaluation grade of each combination based on the soybean target trait value of each combination obtained by the intragroup hybridization result of each combination;
determining an evaluation result of each soybean germplasm resource to be tested based on the evaluation grade of each combination to which each soybean germplasm resource to be tested belongs;
determining the soybean parent based on the evaluation result.
2. The method of claim 1, wherein said determining the evaluation level for each said combination based on the soybean target trait value for each said combination resulting from the intra-group crossing for each said combination comprises:
dividing the combination into a plurality of maturity categories according to the growth period;
sequencing the target property values of the soybeans obtained by the combined hybridization in the same ripening stage and the same production point from high to low in a graded manner;
and respectively determining the evaluation grades of all combinations in each maturity class according to the sequencing result.
3. The method according to claim 2, wherein the determining the evaluation result of each soybean germplasm resource to be tested based on the evaluation grade of each combination to which each soybean germplasm resource to be tested belongs comprises:
respectively counting the evaluation grades of all the combinations in which each soybean germplasm resource to be detected participates in each maturity stage to obtain the number of each evaluation grade of each soybean germplasm resource to be detected in each maturity stage;
and sequencing all the soybean germplasm resources to be tested according to the number of the highest evaluation grades of each soybean germplasm resource from high to low to obtain the evaluation result of each maturity class.
4. The method of claim 3, wherein said selecting soybean parents based on said evaluation comprises:
and selecting the soybean germplasm resources to be tested positioned at the high level of the evaluation result as the soybean parents of each maturity class based on the target character value requirement according to the evaluation result of each maturity class.
5. The method as claimed in claim 3, wherein the maturity class includes early maturity, and the counting the evaluation levels of all the combinations in which each of the soybean germplasm resources to be tested participates in each of the maturity classes to obtain the number of the evaluation levels of each of the soybean germplasm resources to be tested in each of the maturity classes comprises:
backcrossing the group of contract maintainer lines in the early maturing class to obtain a first filial generation, and dividing parents in the group into a restorer line and a sterile line according to a pollen fertility identification result of the first filial generation obtained by backcrossing the group of contract maintainer lines, wherein the female parent in the group is the sterile line, and the male parent in the group is the restorer line;
and counting the evaluation grades in all the combinations in which the restoring line and each soybean germplasm resource to be detected under the sterile line in the early maturing class participate to obtain the number of each grade of each soybean germplasm resource to be detected under the restoring line in the early maturing class and the number of each grade of each soybean germplasm resource to be detected under the sterile line in the early maturing class.
6. A soybean parent selection device, comprising:
the acquisition module is used for acquiring all combinations of the soybean germplasm resources to be detected and each soybean germplasm resource to be detected in each combination of the soybean germplasm resources to be detected;
the evaluation module is used for determining the evaluation grade of each combination based on the soybean target trait value of each combination obtained by the intragroup hybridization result of each combination;
the generation module is used for determining the evaluation result of each soybean germplasm resource to be tested according to the evaluation grade of each combination to which each soybean germplasm resource to be tested belongs;
a selection module for determining a soybean parent based on the evaluation result.
7. The apparatus according to claim 6, wherein the evaluation module is specifically configured to:
dividing the combination into a plurality of maturity categories according to the growth period;
sequencing the target property values of the soybeans obtained by the combined hybridization in the same ripening stage and the same production point from high to low in a graded manner;
and respectively determining the evaluation grades of all combinations in each maturity class according to the sequencing result.
8. The apparatus of claim 7, wherein the generating module is specifically configured to:
respectively counting the evaluation grades of all the combinations in which each soybean germplasm resource to be detected participates in each maturity stage to obtain the number of each evaluation grade of each soybean germplasm resource to be detected in each maturity stage;
and sequencing all the soybean germplasm resources to be tested according to the number of the highest evaluation grades of each soybean germplasm resource from high to low to obtain the evaluation result of each maturity class.
9. A storage medium having stored thereon computer program instructions for executing the steps of the method according to any one of claims 1 to 5 when executed by a processor.
10. An electronic device comprising a memory having stored therein program instructions and a processor that, when executed, performs the steps of the method of any of claims 1-5.
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