CN104112233A - Informationalized breeding method - Google Patents
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Abstract
The invention discloses an informationalized breeding method. The informationalized breeding method includes that a server selects a target parent according to a preset breeding target and confirms a parent combination proposal of the target parent; the server sends a gathering command to a terminal to indicate the terminal to gather filial generation data information of the target parent obtained according to the parent combination proposal; the server receives the filial generation data information gathered by the terminal according to the gathering command and compares the filial generation data information with the breeding target, if the filial generation data information conforms to the breeding target standard, the filial generation data information is stored in a database; the server selects the filial generation data information in the database and uses the selected filial generation as a new target parent, and the server repeats the operations till obtaining the filial generation which conforms to the breeding target. The parent combination and the seed selection are decided according to the breeding target, and the seed selecting target runs through the whole seed selecting process to improve the breeding decision precision and improve the breeding efficiency.
Description
Technical field
The present invention relates to breeding technical field, particularly a kind of method of information-based breeding.
Background technology
No matter be conventional breeding or biotechnology breeding, breeding is all a long-term process, relate to the links such as the obtaining of breeding objective formulation, parent's combo, test design, proterties data, data analysis, how to manage the mass data that whole process and these links produce, just seem particularly important.
At present, in a lot of breeding units, for breeding objective, seldom can be recorded, generally only in when seed selection, contrast with psychological the set goal (breeding objective), the degree running through in breeding process is inadequate, cause the Comparison of Management difficulty of breeding objective to whole breeding process, can not correct in time route.During seed selection parent combo, because breeding material is numerous, generally by experience, than more rich breeding man, made the plan, the possibility that the parent that guarantee is selected and parental combination produce breeding objective is larger, obtain the larger breeding probability of success, but for the breeding man that experience is abundant not, cannot learn at short notice material properties by heart, Selection parent carries out combo accurately.Because annual notebook is not to copy by hand establishment to carry out exactly printing in Excel, therefore when establishment notebook, all needing takes much time picks out the material that continues plantation, and again make a copy of relevant information, need the even longer time of two weeks, repetitive operation and lose time very much easily to make mistakes.Annual breeding experiment data are all on a notebook, and data are disperseed and easily lost, and when needs are consulted data, want to find the data that need to waste time and energy, and seriously reduce data user rate and work efficiency.Breeding is a continuous process, when seed selection decision-making, need to inquire about the proterties performance of some a plurality of generations of material, breeding man need to find out the notebook of each year, by a certain field, by originally finding out associated materials, just can check the proterties performance of a plurality of generations, this process is lost time, and causes most of breeding man to review material, has reduced decision accuracy.
In sum, in prior art, for most of artificialization that need of whole breeding process, operate, due to the most dependence experience breeding of breeding man, breeding objective can not run through whole breeding process, the breeding material that fail in time in parent's selection and progeny material reservation, accurate rejecting cannot meet breeding objective, waste breeding resource, causes breeding efficiency to reduce.
Summary of the invention
(1) technical matters that will solve
The technical problem to be solved in the present invention is how to improve breeding decision-making accuracy rate.
(2) technical scheme
For solving the problems of the technologies described above, the invention provides a kind of method of information-based breeding, specifically comprise:
S1, server are according to default breeding objective select target parent and definite described target parent's parental combination scheme;
S2, described server send acquisition instructions to terminal, and described acquisition instructions is to be used to indicate described terminal to gather the offspring data information that described target parent obtains according to described parental combination scheme;
S3, described server receive the offspring data information that described terminal is obtained according to described acquisition instructions, and described offspring data information and described breeding objective are compared, if the standard of described offspring data information conforms breeding objective, is saved in described offspring data information in database;
S4, described server are chosen seeds to the offspring data information in described database, and the filial generation that seed selection is obtained is as the operation of new target parent's repeated execution of steps S2-S3, until obtain the filial generation that conforms to described breeding objective.
Optionally, described breeding objective comprises breeding material and properties and characteristics; Wherein, described properties and characteristics comprises proterties and the character value corresponding with described proterties, and wherein said breeding objective comprises at least one proterties.
Optionally, the parental combination scheme of the definite described target parent in described step S1 specifically comprises:
Model parent storehouse is then selected target parent according to breeding objective from described parent storehouse, and adopts the mode of incomplete diallel cross described target parent to be combined to a plurality of parental combination schemes that obtain target parent.
Optionally, after described step S1, before step S2, described method also comprises:
According to the target parent who selects and described parental combination scheme, set up parent garden and hybridization garden, breeding and hybridization for described target parent, process selective nursery, evaluation garden, product are than garden, compatibility test, preliminary experiment and regional testing Liu Gepu district successively in the filial generation obtaining, and the filial generation in previous garden district remains the breeding material as Hou Yigepu district after seed selection.
Optionally, described each garden district that sets up also comprises afterwards: the breeding material in each garden district is arranged, the result of arranging be kept on notebook simultaneously according to described in the result of arranging form visual field plots, and on described field plots, utilize the identification record of unique correspondence to be planted in the breeding material of described field plots.
Optionally, after the described server in described step S3 receives the offspring data information that described terminal obtains according to described acquisition instructions, described described offspring data information and described breeding objective are compared before, described method also comprises:
According to the original traits in described offspring data information and with the corresponding character value of described original traits by data-switching obtain associated proterties and with the corresponding character value of described associated proterties.
Optionally, described method also comprises:
If described offspring data information does not meet the standard of breeding objective, the acquisition instructions that described server update sends to described terminal, deletes all acquisition tasks corresponding in the offspring data with deleting.
Optionally, in described step S3 described offspring data information is saved in database after, described method also comprises:
Described server starts to utilize family's numbering to be numbered the filial generation of different generations from the first filial generation from generation to generation of described target parent, described family is numbered the plantation numbering that includes all time information, the plantation numbering of different year is separated with symbol, so that breeding material is upwards reviewed according to described family numbering.
Optionally, the standard of described offspring data information conforms breeding objective, is specially:
Proterties and the corresponding character value in the filial generation that described filial generation continues to produce after combination with breeding objective, or the difference between the character value of filial generation and the character value of described breeding objective reaches in preset range.
Optionally, the offspring data information in described database in described step S4 is chosen seeds and is specifically comprised:
According to the default sequencing of the importance of properties and characteristics in breeding objective and data results, breeding material is screened, wherein said data results is for separating by method of analysis of variance, multiple relative method, regression analysis, quality the result that in Furthest Neighbor, Analysis of Combining Ability method and fuzzy comprehensive evaluation method, at least one analytic approach obtains according to described properties and characteristics.
(3) beneficial effect
The present invention is by breeding objective being run through to whole breeding process, according to breeding objective select target parent definite assembled scheme; To combining the filial generation of rear generation, carry out the offspring data information that data acquisition obtains and compare with seed selection target again, so that rejecting in time cannot obtain the filial generation of breeding objective, breeding associative operation is carried out in the filial generation that no longer cannot obtain breeding objective to these, also no longer carries out the work of data acquisition; During seed selection decision-making, be to choose seeds according to breeding objective standard equally, seed selection target runs through whole seed selection process like this, offspring, cannot obtain breeding objective or depart from breeding objective and change in time parental combination when larger, improve breeding decision-making accuracy rate, can also revise in time breeding route, reduce the wasting of resources, reduce working strength, improve breeding efficiency simultaneously.
Accompanying drawing explanation
Fig. 1 is the flow chart of steps of the method for a kind of information-based breeding provided by the invention;
Fig. 2 is the pie graph of breeding objective in embodiment;
Fig. 3 is parent storehouse exemplary plot in embodiment;
Fig. 4 is Assembly Listing exemplary plot in embodiment;
Fig. 5 is planting scheme exemplary plot in embodiment;
Fig. 6 is that in embodiment, material is recorded exemplary plot;
Fig. 7 is notebook exemplary plot in embodiment;
Fig. 8 is information exemplary plot in field in embodiment;
Fig. 9 is raw data sample figure in embodiment;
Figure 10 is data instance figure after processing in embodiment;
Figure 11 is the result exemplary plot of choosing seeds in embodiment;
Figure 12 is the seed selection result exemplary plot after mark in embodiment;
Figure 13 is in embodiment, to be generation to review exemplary plot.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples are used for illustrating the present invention, but are not used for limiting the scope of the invention.
The invention provides a kind of method of information-based breeding, flow chart of steps as shown in Figure 1, specifically comprises the following steps:
Step S1, server are according to default breeding objective select target parent and definite target parent's parental combination scheme;
Step S2, server send acquisition instructions to terminal, and acquisition instructions is to be used to indicate terminal to gather the offspring data information that target parent obtains according to parental combination scheme;
The offspring data information that step S3, server receiving terminal obtain according to acquisition instructions, and offspring data information and breeding objective are compared, if the standard of offspring data information conforms breeding objective is saved in offspring data information in database;
Step S4, server are chosen seeds to the offspring data information in database, and the filial generation that seed selection is obtained is as the operation of new target parent's repeated execution of steps S2-S3, until obtain the filial generation that conforms to breeding objective.
The method makes breeding objective run through whole breeding process, adjusts in time breeding plan, reduces data collection task amount, significantly improves breeding management efficiency; The scheme combining according to breeding objective screening target parent and these targets parent, can be the Data Integration of breeding process for many years and record together, save the time of each link in breeding process, improve the management and use efficiency of data, thereby improve breeding efficiency.
Optionally, breeding objective comprises properties and characteristics, and wherein, properties and characteristics comprises proterties and the character value corresponding with proterties, and wherein breeding objective comprises at least one proterties.For the proterties of certain breeding material, comprise a lot of, comprise plant height, spikelet number, powdery mildew disease-resistant, ripe phase, mass of 1000 kernel etc., for example ripe performance referring to mutually when breeding material is ripe, comprises precocity, normal and remaining green when it is due to become yellow and ripe three kinds.But for the proterties that needs in the breeding process carrying out with a certain default breeding objective to consider, be wherein one or several, for other proterties, ignore.
In addition, formulation for breeding objective need to be formulated according to ecologic environment, social environment the quantitative target of breed breeding, comprise target designation, selected parent type, objective trait, proterties desired value, with breeding objective, participate in the processes such as parent's selection, data acquisition, material screening, whole breeding process and with breeding objective centered by carry out, at progeny material, cannot reach breeding objective or depart from when larger, remind in time breeding man to correct route, change combination, improve breeding efficiency.
Optionally, really set the goal in step S1 parent's parental combination scheme specifically comprises:
Target parent is then selected according to breeding objective, many conditional information retrievals in model parent storehouse from parent's database, to can screen accurately and fast Parents;
According to incomplete diallel cross mode, target parent is combined afterwards a plurality of parental combination schemes that obtain target parent, concrete steps following steps:
First, set up parent storehouse, for storing breeding parent used, and carry out Classification Management according to parent's breediness, work efficiency when raising parent searches.
Afterwards, combination configuration plan, first filters out target parent according to the quantitative target of breeding objective setting from parent storehouse, can also can reduce or add other qualified parents on this basis; Then adopt incomplete diallel cross mode to combine configuration, form the list of schedules of assembled scheme.
Finally, according to actual field hybridisation events, list of schedules to assembled scheme is checked, assembled scheme by confirming is saved in database, and by target parent (generally representing with P), generate corresponding first generation filial generation (representing with F1) according to assembled scheme, for the source as selective nursery breeding material.
Optionally, after step S1, before step S2, the method also comprises:
According to the target parent who selects and parental combination scheme, set up parent garden and hybridization garden, breeding and hybridization for target parent, process selective nursery, evaluation garden, product are than garden, compatibility test, preliminary experiment and regional testing Liu Gepu district successively in the filial generation obtaining, and the filial generation in previous garden district remains the breeding material as Hou Yigepu district after seed selection.After determining parental combination scheme, also to carry out planting scheme management, for developing and managing of the different garden district planting scheme of whole breeding process, breeding need pass through parent garden, hybridize garden, selective nursery, evaluation garden, product than garden, compatibility test, pilot study and eight stages of regional testing.Parent garden is for target parent's breeding, other Qi Gepu districts are progressive relationship, the material source in the material Wei Houyige garden district upgrading after namely previous garden district's decision-making, the essential information of material also all remains into next garden district, the time that the notebook of significantly reducing the staff expends.
Optionally, after setting up each garden district, the method also comprises: the breeding material in each garden district is arranged, the result of arranging is kept on notebook simultaneously and forms visual field plots according to the result of arranging, and on field plots, utilizes the identification record of unique correspondence to be planted in the breeding material of field plots.
According to the affairs of each garden district stage general character, form following steps:
First, newly-built planting scheme, adds a planting scheme, fills in essential information and planting information.Essential information comprises planting scheme title, planting scheme year, garden district stage, planting scheme responsible official, test method etc.; Planting information is mainly described field planting method, comprises community, plant, potted plant three kinds of modes.
Then, material arrangement selects to need the material of plantation, and material is arranged.According to the stage Automatic sieve at place, garden district, select corresponding material list, random district group, completely random are provided, than multiple test design methods such as method, pairing comparision, carry out material arrangement planning, save time and improve the science that field planting is arranged simultaneously.
Afterwards, field planting figure planning, makes electronics plantation figure, according to the parameter of input, forms visual field plots, writes the breeding material of plantation on plot, and it is associated with breeding material that each plot gives unique identification.After having gathered data, can when checking field planting situation, check the data that breeding material gathers.
Finally, print bar code, arrange after good material, for each breeding material distributes Quick Response Code, for locating fast breeding material when field data gathers.
Server sends acquisition instructions with task published method to terminal, and terminal networking downloading task also gathers breeding material and original traits according to acquisition instructions, again the data upload gathering is arrived to server afterwards.According to breeding objective and the data uploaded, breeding material is carried out to primary dcreening operation, eliminate the material of performance very poor (namely can not obtain breeding objective), for superseded material, also in database, be labeled as superseded, when release tasks again, be labeled as superseded material and do not appear in task, significantly reduce data collection task amount.
Optionally, after the offspring data information that the described server receiving terminal in step S3 obtains according to acquisition instructions, before offspring data information and breeding objective are compared, the method also comprises:
According to the original traits in offspring data information and with the corresponding character value of original traits by data-switching obtain associated proterties and with the corresponding character value of associated proterties.
Can be because environmental factor has influence on cultivation result while cultivating in field due to breeding material, the field management information that General Influence is cultivated result comprises weather information, cultivation information, irrigation information, prevention and control of plant diseases, pest control information, for recording breeding material in all external situation of growth course, when trade-off decision, provide meteorological humiture trend map, intuitively check the weather conditions of whole breeding time, environment is considered together with proterties analyze, improve data analysis precision.
In breeding process, some proterties can not directly obtain by data acquisition, need to calculate by the original traits that can directly gather, for fast, conveniently obtaining these character values, improve data acquisition efficiency, the associated proterties and the corresponding character value that such as disease index, the incidence of disease etc., obtain exactly by data-switching computing form final data.The proterties that simultaneously breeding material has has repetition values, and what have does not have data, according to the difference of character value number, pass through data processing method, the method such as comprise mean value, maximal value, minimum value, intermediate value, fill a vacancy, is convenient to the data of fast finishing original traits, forms final data.Therefore after the offspring data information that server receiving terminal is uploaded, by original traits, by the associated proterties that is converted to and separately corresponding character value be all saved in database.
After collecting offspring data information, optional, the method also comprises:
If offspring data information does not meet the standard of breeding objective, the acquisition instructions that server update sends to terminal, deletes all acquisition tasks corresponding in the offspring data with deleting.
Breeding material is carried out to comprehensive evaluation, and breeding material is selected and mark.Flag state is divided into liter, stays, eliminates three states, rise and refer to that material continues to plant and be upgraded to next test garden, stay to represent to stay original test garden and continue plantation, eliminate and represent the material no longer plantation that is eliminated, for the breeding material that is labeled as the state of eliminating, from acquisition tasks, delete.
Optionally, in step S3 offspring data information is saved in database after, the method also comprises:
Server starts to utilize family's numbering to be numbered the filial generation of different generations from the first filial generation from generation to generation of described target parent, family is numbered the plantation numbering that includes all time information, the plantation numbering of different year is separated with symbol, so that breeding material is upwards reviewed according to this family's numbering.When breeding material is chosen seeds, can also upwards review all generations of certain breeding material and parent's final data, guarantee to evaluate breeding material property stability and variation, improve decision-making accuracy rate.According to being that the method that code name is reviewed is: each breeding material has " family's numbering " field in database, family's numbering adds up year by year, ingredient is field planting numbering, between different year, by "/", is separated, and the plantation numbering by different year while reviewing is upwards reviewed.The mode of numbering by family, is associated together each of breeding material from generation to generation, has solved currently available technology and cannot upwards carry out the problem that data are reviewed.
In addition, by seed selection decision-making, determine after the subsequent operation of breeding material, to being labeled as liter, staying the breeding material of state, its generation field value of living in automatically adds 1 and is upgraded to from generation to generation nextly, is that code name is according to generation of living in, offspring's screening mode generation respective change.
Optionally, the standard of offspring data information conforms breeding objective, is specially:
Proterties and the corresponding character value in the filial generation that filial generation continues to produce after combination with breeding objective, or the difference between the character value of filial generation and the character value of breeding objective reaches in preset range.Concrete, offspring data in database is chosen seeds and specifically comprised: according to the default sequencing of the importance of properties and characteristics in breeding objective and data results, breeding material is screened, wherein the default sequencing of the importance of properties and characteristics refers to according to predefined demand the importance of properties and characteristics is sorted; Data results is for separating by method of analysis of variance, multiple relative method, regression analysis, quality the result that in Furthest Neighbor, Analysis of Combining Ability method and fuzzy comprehensive evaluation method, at least one analytic approach obtains according to properties and characteristics.Data results can carry out quantitative, comprehensive evaluation to breeding material.
When breeding material is chosen seeds, by the quantitative target importance arranging in breeding objective, breeding material is carried out to step-sizing, after screening, recycling data results screens, and screening technique comprises conditional filtering and sequence.
Adopt said method to take breeding objective as core, the material of field planting in different years of comprehensive displaying, different personnel planting scheme that be responsible for, different garden district is, the result of the proterties of collection, final seed selection, the whole progress of holding whole breeding, the breeding plan formulation that can be next step provides foundation.Because breeding objective runs through whole breeding process, between each stage in whole breeding process, there is relevance, effectively solve the problem that data are disperseed.
Take wheat breeding as example, in a preferred embodiment of the invention the method for above-mentioned information-based breeding is set forth, specific as follows:
Using breeding for disease resistance as breeding objective, comprise selected parent type, proterties and character value, as shown in Figure 2.
Breeding objective is all associated with follow-up parental combination configuration, data acquisition and seed selection decision-making, for parent, selecting, reject in time the material of difference and upgrade needs the breeding material of image data to select, if the progeny material more than 50% combining during decision-making in seed selection cannot reach breeding objective or depart from breeding objective when larger, need to change parental combination, to improve final breeding efficiency.
Set up parent storehouse, parent used in management breeding, and carries out Classification Management according to breediness, improves parent and searches and utilization ratio, is divided into high yield, disease-resistant, eurytopicity etc., as shown in Figure 3 such as parent.
Combination configuration plan:
Quantitative target with the setting of breeding for disease resistance target filters out target parent, such as parent B and other parents, in this result, can also carry out quadratic search to other proterties such as eurytopicity, mu spike numbers, select for the parent of combo then, then combo, according to incomplete diallel cross method, form assembled scheme, as shown in Figure 4.
In breeding process, due to reasons such as parent's growth or energy, some combination does not have real combo in the works, therefore when results cenospecies, to check the combination of combination list of schedules, for example, 50 combinations of plan configuration in table 3, actual conditions have configured 45 combinations, combination is confirmed, its state in database table upgrades, and generates 45 F1, in order to the material source of selective nursery planting scheme.
After determining target parent and target parent's assembled scheme, carry out the planning of planting scheme, foundation and the management of the different garden district planting scheme in whole breeding process, be divided into parent garden, hybridization garden, selective nursery, evaluation garden, product than garden, compatibility test, pilot study, eight stages of regional testing.Take selective nursery planting scheme as example, newly-increased planting scheme selective nursery in 2014, plant planting patterns, essential information is as shown in Figure 5.
Complete after planting scheme, according to test garden stage Automatic sieve, select corresponding material, as shown in Figure 6, choose after material, arrangement mode is first according to F1, F2 ... mode is arranged from small to large from generation to generation, and breeding material of same generation, is arranged according to like combinations in the same generation together, like combinations is according to being that code name is arranged, the material sequencing be notebook as shown in Figure 7.The arrangement mode providing is consistent with actual breeding, the time of can save to a great extent material selection, compiling notebook, improves the science that field planting is arranged simultaneously.
Field planting figure planning: form visual field plots according to the parameter of input, write the breeding material of plantation on plot, it is associated with breeding material that each plot gives unique identification.After having gathered data, can when checking field planting situation, check the data that breeding material gathers.Give each file printing Quick Response Code, for the quick location to breeding material when field data gathers simultaneously.
Afterwards, for example, the proterties of the notebook shown in Fig. 7 and needs collection, plant height, spikelet number, powder mildew resistance, ripe phase, mass of 1000 kernel, with task state, issue, after terminal networking, from server downloading task, in field image data, and then upload onto the server.Utilize breeding objective to the data message primary dcreening operation of uploading, eliminate the very poor material of performance, such as original breeding material has 10000, after screening, be left 8000, these 8000 materials are issued again together with proterties, be labeled as superseded material and do not appear in task, significantly reduce data collection task amount and efficiency.
When trade-off decision, environment is considered together with proterties analyze, improve data analysis precision, as shown in Figure 8.During the raw data of terminal collection is uploaded onto the server, and preserve with ephemeral data, as shown in Figure 9, temporal data is carried out to preliminary audit survey, for example remove some because artificial error causes recording the data of larger error, this review process can be realized by simple comparison algorithm, by being saved in database as raw data after audit, can carry out many conditional information retrievals to breeding material title, combination, character value etc.Wherein " powder mildew resistance " is character string, can not be directly used in statistical study, therefore character string can be converted to numeral, take maximal value as example, and result as shown in figure 10.
Proterties comprises the original traits of collection and the associated proterties obtaining by data-switching computing, for the proterties that in breeding, some proterties can not directly obtain, need to calculate by other proterties, such as breeding time proterties be exactly sowing time proterties to the variation of maturity stage proterties.
The selective nursery planting scheme in 2014 of take is example, when breeding material is chosen seeds, can call the result of data analysis, first by the quantitative target importance arranging in breeding objective, breeding material is carried out to step-sizing, after screening, recycling data results screens, and seed selection result as shown in figure 11.Be labeled as liter, stay after the material decision-making of state, its generation field value of living in adds 1 and upgrade a generation automatically, be that code name according to the generation of living in, respective change occurs, be just to add a numeral code name F3 generation of later every increase generation, the result of take in Figure 11 is example, generate the material list in the different garden of next year district, while formulating for planting scheme, select.
When breeding material is chosen seeds, can also help breeding man evaluating material property stability and variation by upwards reviewing all generations of certain breeding material and parent's final data, improve decision-making accuracy rate.Retroactive method is: each breeding material has " family's numbering " field in database, family's numbering adds up year by year, ingredient is field planting numbering, between different year, by "/", separated, plantation numbering by different year while reviewing is upwards reviewed, take material 100 as example, review content as shown in figure 13.
In sum, the beneficial effect that adopts said method to realize is as follows:
1. owing to carrying out processing and the seed selection decision-making of data at server, can realize telnet and data strange land is gathered, improve data and gather efficiency.
2. adopt each link of breeding objective management breeding, step-sizing breeding material, reduces data acquisition, analytical work amount, improves breeding efficiency.
3. when establishment notebook, screening needs the material of plantation, and common test method for designing is provided, and has greatly reduced the science of notebook establishment time and field material arrangement.
4. adopt database technology, the mode of numbering by family, is associated together each of breeding material from generation to generation, has solved the currently available technology problem that data review that cannot make progress.
5. data processing rule and several data analytical approach are provided, and comprehensive evaluation breeding material, improves breeding screening accuracy.
6. there is Breeding progress function, can, when this season breeding material is gathered in the crops, in time for the different levels personnel such as breeding man, team leader grasp Breeding progress, instruct the formulation of lower step breeding plan.
Above embodiment is only for illustrating the present invention; and be not limitation of the present invention; the those of ordinary skill in relevant technologies field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all technical schemes that are equal to also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (10)
1. a method for information-based breeding, is characterized in that, comprising:
S1, server are according to default breeding objective select target parent and definite described target parent's parental combination scheme;
S2, described server send acquisition instructions to terminal, and described acquisition instructions is to be used to indicate described terminal to gather the offspring data information that described target parent obtains according to described parental combination scheme;
S3, described server receive the offspring data information that described terminal is obtained according to described acquisition instructions, and described offspring data information and described breeding objective are compared, if the standard of described offspring data information conforms breeding objective, is saved in described offspring data information in database;
S4, described server are chosen seeds to the offspring data information in described database, and the filial generation that seed selection is obtained is as the operation of new target parent's repeated execution of steps S2-S3, until obtain the filial generation that conforms to described breeding objective.
2. method according to claim 1, is characterized in that, described breeding objective comprises breeding material and properties and characteristics; Wherein, described properties and characteristics comprises proterties and the character value corresponding with described proterties, and wherein said breeding objective comprises at least one proterties.
3. method according to claim 1, is characterized in that, the parental combination scheme of the definite described target parent in described step S1, specifically comprises:
Model parent storehouse is then selected target parent according to breeding objective from described parent storehouse, and adopts the mode of incomplete diallel cross described target parent to be combined to a plurality of parental combination schemes that obtain target parent.
4. method according to claim 2, is characterized in that, after described step S1, before step S2, described method also comprises:
According to the target parent who selects and described parental combination scheme, set up parent garden and hybridization garden, breeding and hybridization for described target parent, process selective nursery, evaluation garden, product are than garden, compatibility test, preliminary experiment and regional testing Liu Gepu district successively in the filial generation obtaining, and the filial generation in previous garden district remains the breeding material as Hou Yigepu district after seed selection.
5. method according to claim 4, it is characterized in that, described set up each garden district after, described method also comprises: the breeding material in each garden district is arranged, the result of arranging be kept on notebook simultaneously according to described in the result of arranging form visual field plots, and on described field plots, utilize the identification record of unique correspondence to be planted in the breeding material of described field plots.
6. method according to claim 2, it is characterized in that, after described server in described step S3 receives the offspring data information that described terminal obtains according to described acquisition instructions, described described offspring data information and described breeding objective are compared before, described method also comprises:
According to the original traits in described offspring data information and with the corresponding character value of described original traits by data-switching obtain associated proterties and with the corresponding character value of described associated proterties.
7. method according to claim 1, is characterized in that, described method also comprises:
If described offspring data information does not meet the standard of breeding objective, the acquisition instructions that described server update sends to described terminal, deletes all acquisition tasks corresponding in the offspring data with deleting.
8. method according to claim 1, is characterized in that, in described step S3 described offspring data information is saved in database after, described method also comprises:
Described server starts to utilize family's numbering to be numbered the filial generation of different generations from the first filial generation from generation to generation of described target parent, described family is numbered the plantation numbering that includes all time information, the plantation numbering of different year is separated with symbol, so that breeding material is upwards reviewed according to described family numbering.
9. method according to claim 2, is characterized in that, the standard of described offspring data information conforms breeding objective, is specially:
Proterties and the corresponding character value in the filial generation that described filial generation continues to produce after combination with breeding objective, or the difference between the character value of filial generation and the character value of described breeding objective reaches in preset range.
10. method according to claim 1, is characterized in that, the offspring data information in described database in described step S4 is chosen seeds, and specifically comprises:
According to the default sequencing of the importance of properties and characteristics in breeding objective and data results, breeding material is screened, wherein said data results is for separating by method of analysis of variance, multiple relative method, regression analysis, quality the result that in Furthest Neighbor, Analysis of Combining Ability method and fuzzy comprehensive evaluation method, at least one analytic approach obtains according to described properties and characteristics.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114418783A (en) * | 2021-12-28 | 2022-04-29 | 北京市农林科学院信息技术研究中心 | Method, device and system for arranging crop breeding materials |
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| CN101120666A (en) * | 2007-09-26 | 2008-02-13 | 中国水产科学研究院黑龙江水产研究所 | Method for selectively cultivating new variety of carp |
| CN103164777A (en) * | 2013-03-25 | 2013-06-19 | 北京农业信息技术研究中心 | Investigation method for crop breeding field characters |
| CN103761428A (en) * | 2014-01-07 | 2014-04-30 | 北京农业信息技术研究中心 | Breeding data processing method for screening breeding materials |
| CN103778508A (en) * | 2014-01-21 | 2014-05-07 | 青岛康大兔业发展有限公司 | Analyzing and managing method for breeding data of rabbits |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101120666A (en) * | 2007-09-26 | 2008-02-13 | 中国水产科学研究院黑龙江水产研究所 | Method for selectively cultivating new variety of carp |
| CN103164777A (en) * | 2013-03-25 | 2013-06-19 | 北京农业信息技术研究中心 | Investigation method for crop breeding field characters |
| CN103761428A (en) * | 2014-01-07 | 2014-04-30 | 北京农业信息技术研究中心 | Breeding data processing method for screening breeding materials |
| CN103778508A (en) * | 2014-01-21 | 2014-05-07 | 青岛康大兔业发展有限公司 | Analyzing and managing method for breeding data of rabbits |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114418783A (en) * | 2021-12-28 | 2022-04-29 | 北京市农林科学院信息技术研究中心 | Method, device and system for arranging crop breeding materials |
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