CN103004578A - Intelligent decision making system for similarity and difference culture of crops - Google Patents
Intelligent decision making system for similarity and difference culture of crops Download PDFInfo
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Abstract
本发明公开了一种作物同异育种智能决策系统，该系统包括育种目标同异关系分析模块、亲本同异分类模块、杂交组合同异评估模块、单株同异选择模块、品种同异比较模块、品种同异布局模块、品种同异栽培模块。这些模块既相互独立，又相互联系，共同构成一个整体。本发明所述作物同异育种智能决策系统在小麦育种中的应用效果良好。该系统同样可用于其他作物育种之中。
The invention discloses an intelligent decision-making system for crop similarity and difference breeding. The system includes a breeding target similarity and difference relationship analysis module, a parental similarity and difference classification module, a hybrid combination similarity and difference evaluation module, a single plant similarity and difference selection module, and a variety comparison module. , Variety similarity and difference layout module, variety similarity and difference cultivation module. These modules are not only mutually independent, but also interrelated to form a whole together. The application effect of the intelligent decision-making system for the same-difference breeding of crops in the invention is good. The system can also be used in other crop breeding.
Description
Technical field
The invention belongs to agricultural technology field, relate to a kind of crop with different breeding intelligent decision system.
Background technology
After the grey breeding theory with different theory, another the new quantification breeding theory that puts forward for the same different phenomenon in the crop breeding.Its proposition and application have overcome the limitation of traditional experience breeding effectively, so that crop breeding each critical stage of process and link be explained and be described to crop breeding can from quantitative angle, thereby provide reliable scientific basis for the breeding decision-making.Therefore, enjoy the breeder to favor, in 11 kinds of crop breedings such as wheat, paddy rice, cotton, corn, soybean, millet, mung bean, kidney bean, potato, sugarcane, grape, be applied at present, produced good result.Although the mathematical operation that involves in the breeding decision process is also uncomplicated, breeding material is thousands of, deals with but quite trouble, has so virtually just limited the application of this theory in the breeding real work.
Summary of the invention
In order to solve the problems of the technologies described above, the invention provides a kind of crop with different breeding intelligent decision system, take the Java technology as support, take Eclipse as development platform, developed crop with different breeding intelligent decision system, for the breeder provides a kind of efficiently and effectively decision tool and means.
Its technical scheme is as follows:
Crop comprises with different breeding intelligent decision system: breeding objective with different relationship analysis module, parent with different sort module, hybrid combination with different evaluation module, Single-plant Similarity-difference select module, kind with different comparison module, kind with different layout modules, kind with different cultivation module:
Described breeding objective is with different relationship analysis module: adopt with different relationship analysis principle and method, analyze the impact of each Characters on Yield or quality, distinguish major traits and less important proterties, the quantitative relation between clear and definite each proterties, thereby for determining that objective rational breeding objective provides foundation;
Described parent is with different sort module: determine quantitatively the close and distant relation between each parent, and the parent is classified on essential attribute by this relation, be used for instructing the preparation of hybrid combination;
Hybrid combination is with different judge module: adopt hybrid combination with different assessment principle and method, comprehensive assessment is carried out in hybrid combination to hybrid F1, thereby determines the emphasis combination;
Single-plant Similarity-difference is selected module: adopt Single-plant Similarity-difference to select principle and method, breeding segregative generation individuality or individual plant are selected, thereby decide what to use, individual plant be divided into 3 grades: the first-class individual plant individual plant of attaching most importance to, afterwards from generation to generation in addition primary part observation, selection; Second-class individual plant is general individual plant, keeps plantation, and continues to observe, select; Third-class individual plant is then eliminated;
Kind is with different comparison module: adopt kind with different comparison principle and method, from a plurality of objective traits the tested variety of strain evaluation, varietal yield test or production demonstration test is carried out overall merit;
Kind is with different layout modules: adopt kind with different major elements and method, kind multiple spot association area territory result of the test is analyzed, propose the kind of different ecological type district optimum plantation;
Kind is with different cultivation module: adopt kind with different cultivation principle and method, by treating that the identical degree on the cultivation characteristic is determined the similitude kind between recommended variety and the spread kind, and then realization breeding and good method is supporting.
Crop of the present invention is with the application of different breeding intelligent decision system in wheat breeding.
Beneficial effect of the present invention:
Compare with traditional experience breeding, this system has obvious characteristics: the one, can illustrate the various phenomenons in the crop breeding process, not only give the qualitative interpretation of pledge, also give simultaneously the definite description of output, thereby realize quantification, the informationization and scientific of crop breeding, make the crop breeding subject develop into the subject of a precision.The 2nd, can comprehensive considering various effects, causality very complicated in the crop breeding process is described.The 3rd, can take full advantage of breeding information the breeding phenomenon is made an explanation, can make optimizing decision for each critical stage of breed breeding process or link.The 4th, can merge mutually with Computer Organization Principles and technology, be compiled into program, working specification, convenience are even the breeding beginner also can obtain the such level of decision-making of breeding expert.
Compare with common varietal yield test statistical analysis technique, its superior part just is to consider simultaneously a plurality of proterties, thereby more objective, reasonable to the evaluation of kind; Can overcome common analysis result causes in rank forefront several the limitation of kind of the whole province's Unified Generalization average yield.Not only pay attention to taking full advantage of of eurytopicity kind, and pay attention to the performance of the volume increase potential of specific adaptation kind.
Compare with common experiment in cultivation method, the difference of this method just is that it can save the experiment in cultivation of very complicated, only the similitude degree according to certain new varieties and spread variety culture characteristic is the cultivated form of this kind of deducibility, then adopt corresponding culture technique and measure to match, promote then in new varieties. directly realize the supporting of breeding and good method, produce upper breeding and the contradiction that good method disconnects mutually thereby effectively solved, the output of kind and high-quality potentiality are not fully exerted.
Description of drawings
Fig. 1 is that crop is with the modular structure figure of different breeding intelligent decision system;
Fig. 2 is that crop is with different breeding intelligent decision system operational flowchart.
Embodiment
Below in conjunction with the drawings and specific embodiments technical scheme of the present invention is described in more detail.
Crop with different breeding intelligent decision system take Eclipse as development environment.This development environment is celebrated with cross-platform freedom integrated (IDE).Mainly formed by four parts, be respectively Eclipse platform (Eclipse Platform), Java development kit (JDT: support the Java exploitation), C development kit (CDT: support the C exploitation) and developing plug environment (PDE: be used for supporting developing plug).Then the three is seamless thereon integrated as plug-in unit, like this, and just so that it has had flexibility and extensibility that other IDE software is difficult to have.Therefore, can think that this is a function brilliance, advanced technology, developing instrument with plurality of advantages.
Owing to use the design at window widget collection and shape library SWT assembly software interface, so crop is with different breeding intelligent decision system friendly interface, attractive in appearance, simple to operation, comfortable.
Consider that Excel is popular, the data input is convenient and swift, the breeder who is well versed in database is then few, therefore crop has been abandoned the in the past scheme in usage data storehouse with different breeding intelligent decision system when carrying out Software for Design, utilize the realization of POI assembly to the operation of Excel, finish data-storing and management, thus make data input, output very convenient.
This shows that the development environment that Eclipse is superior and the power of Excel are for crop has been established solid technical foundation with the development of different breeding intelligent decision system.
Crop with different breeding intelligent decision system take Eclipse as development platform, crop has in recent years been carried out system development with the achievement in research of different breeding theory and method, and its development process is summarized as follows: crop with different breeding system analysis → crop with different breeding system design → set up crop with different Breeding Application object → generation crop with different breeding user object, function and structure → set up crop with different breeding window and menu → establishment crop with different breeding data window object → write crop with different breeding event (comprising the mathematical model program) → debugging application → test macro → generation crop with different breeding executable file.
The crop breeding program comprises a series of links and the steps such as formulation, parental apolegamy, hybrid combination assessment, individual plant selection, strain evaluation, varietal yield test, kind layout and kind utilization of breeding objective.Crop is developed and develops around these links and step with different breeding intelligent decision system, thereby seven large core content and modules of breeding decision system have been consisted of, as shown in Figure 1, comprising: breeding objective with different relationship analysis module, parent with different sort module, hybrid combination with different evaluation module, Single-plant Similarity-difference select module, kind with different comparison module, kind with different layout modules, kind with different cultivation module.These modules are both separate, connect each other again, jointly consist of an integral body.In the crop breeding actual mechanical process, the disappearance of the link that any one module is responsible for or disconnection all will be brought disaster to the overall situation, and crop breeding can't be carried out.
Breeding objective is with different relationship analysis module and function
This module adopts with different relationship analysis principle and method, analyzes the impact of each Characters on Yield or quality, distinguishes major traits and less important proterties, the quantitative relation between clear and definite each proterties, thereby for determining that objective rational breeding objective provides foundation.
The parent is with different sort module and function
This module adopts the parent with different principle of classification and method, determines quantitatively the close and distant relation (hereditary difference) between each parent, and the parent is classified on essential attribute by this relation, is used for instructing the preparation of hybrid combination.
Hybrid combination is with different judge module and function
This module adopts hybrid combination with different assessment principle and method, and comprehensive assessment is carried out in hybrid combination to hybrid F1, thereby determines the emphasis combination, make the breeder hybrid early generation just accomplish to have a good idea of how things stand, energy is focused in the combination likely as early as possible.
Single-plant Similarity-difference is selected module and function
This module adopts Single-plant Similarity-difference to select principle and method, breeding segregative generation individuality or individual plant is selected, thereby decided what to use.Usually individual plant is divided into 3 grades: the first-class individual plant individual plant of attaching most importance to, afterwards from generation to generation in addition primary part observation, selection; Second-class individual plant is general individual plant, keeps plantation, and continues to observe, select; Third-class individual plant is then eliminated.
Kind is with different comparison module and function
This module adopts kind with different comparison principle and method, from a plurality of objective traits the tested variety of strain evaluation, varietal yield test or production demonstration test is carried out overall merit, and promoting for variety certification provides scientific basis.Compare with common varietal yield test statistical analysis technique, its superior part just is to consider simultaneously a plurality of proterties, thereby more objective, reasonable to the evaluation of kind.
Kind is with different layout modules and function
This module adopts kind with different major elements and method, and kind multiple spot association area territory result of the test is analyzed, and proposes the kind of different ecological type district optimum plantation, accomplishes kind of most its usefulness, to obtain best economic benefit and social benefit.Its outstanding advantages is can overcome common analysis result to cause in rank forefront several the limitation of kind of the whole province's Unified Generalization average yield.Not only pay attention to taking full advantage of of eurytopicity kind, and pay attention to the performance of the volume increase potential of specific adaptation kind.
Kind is with different cultivation module and function
This module adopts kind with different cultivation principle and method, and by treating that the identical degree on the cultivation characteristic is determined the similitude kind between recommended variety and the spread kind, and then realization breeding and good method is supporting.Compare with common experiment in cultivation method, the difference of this method just is that it can save the experiment in cultivation of very complicated, only the similitude degree according to certain new varieties and spread variety culture characteristic is the cultivated form of this kind of deducibility, then adopt corresponding culture technique and measure to match, promote then in new varieties. directly realize the supporting of breeding and good method, produce upper breeding and the contradiction that good method disconnects mutually thereby effectively solved, the output of kind and high-quality potentiality are not fully exerted.
Crop is with the application example of different breeding intelligent decision system in wheat breeding
Crop is succeeded in developing with different breeding intelligent decision system, for reducing the breeding work amount, instructs the crop breeding decision-making, improves and selects effect, frees significant the breeder from the data handling procedure of very complicated and effect.Now make up the selected indoor species test data of individual plant in 0701 (pacifying 0455/ Handan 6172) and 0702 (peace 0455/ is permitted No. 5, a farming) F239 field in conjunction with Anyang Institute of Technology is biological with the 2007-2008 of food engineering institute year wheat hybridizing, illustrate that Single-plant Similarity-difference is chosen in the application in the wheat breeding.Other links such as breeding objective with different relationship analysis, parent with different classification, hybrid combination with different assessment, kind with different comparison, kind with different layout and kind with the realization of the procedures of breeding such as different cultivation then therewith roughly the same.As shown in Figure 2:
The first step: typing breeding data.Breeding species test data are inputted the Excel form successively by proterties.Notice that during the input data, the first two columns field is respectively " individual plant numbering " and " being clef ", all the other row can arbitrarily be arranged by proterties.After the input data, be saved in the particular plate for the Excel name and with it.
Second step: start-up system, editor's breeding data.Double-click system's icon in " crop is with different breeding intelligent decision system " mounting disc, enter system, menu interface occurs.Click the drop-down menu on menu right side, menu interface upper left side " breeding data management ", " editor Excel table data " menu occurs, click this menu, in particular plate, open the Excel table of name, check whether its input data are accurate, determine errorless rear end editor and preservation.
The 3rd step: enter the Single-plant Similarity-difference option program.Open drop-down menu on " Single-plant Similarity-difference selection " menu right side, six secondary menus occur.Click " importing the individual plant test data ", " FileDialog Example " dialog box occurs, choose the Excel tables of data of storing in the above-mentioned particular plate, click the open button in the dialog box, individual plant test data table occurs.
The 4th step: selection traits.Click " selection of individual plant proterties ", " asking selection traits " interface appears in the right side, chooses required proterties in the individual plant selection course, all participates in computing such as whole proterties, then chooses " full choosing " and gets final product.Then, click " proterties is selected to determine ".Then, click " proterties alternative types ", in " asking the selection traits alternative types " below, select the affiliated type of each proterties.Be the interval type proterties such as plant height, plumpness is the lower limit proterties, and single plant yield is upper limit proterties, by that analogy.
The 5th step: calculate each proterties and ideal character identical degree.Click " calculating of proterties identical degree ", the same kilsyth basalt of each proterties and ideal character occurs.
The 6th step: determine character weight, the output analysis result.Click " selecting Weighting ", " method that please select weights to determine " dialog box occurs, according to the optional one of concrete condition.As selecting " expert determines method " in this example, click " determining " button, " please input suitable value " dialog box appears, each character weight value that the expert determines inputted successively.Click " OK " button." weights calculate and finish " dialog box occurs, click "Yes", eject " Single-plant Similarity-difference selection result ".Analyze and finish.
By this routine result as can be known, 39 wheat F2 individual plants of two wheat hybridizing combinations, wherein first-class individual plant 12 strains that do very well of Comprehensive Traits, the Comprehensive Traits identical degree is between 0.8136-0.9365, illustrate that these individual plant Comprehensive Traits are better, very approaching with the requirement of breeding objective, should be as the emphasis individual plant, strengthening subsequently field observation and focal selection in addition in from generation to generation; Second-class individual plant 24 strains, Comprehensive Traits identical degree illustrate that these individual plant Comprehensive Traits are general between 0.695-0.801, should keep plantation, proceed to observe its offspring, are selected depending on concrete manifestation; Third-class individual plant 3 strains, Comprehensive Traits identical degree illustrate that these individual plant Comprehensive Traits identical degrees are relatively poor between 0.6063-0.69, away from the breeding objective requirement, should be eliminated.The crop breeding intelligent decision system is seen some from this to the guidance of wheat breeding work.
The above only is best mode for carrying out the invention, can be used for equally among other crop breedings.Anyly be familiar with those skilled in the art in the technical scope that the present invention discloses, the simple change of the technical scheme that can obtain apparently or equivalence are replaced and are all fallen within the scope of protection of the present invention.
Claims (2)
1. a crop is with different breeding intelligent decision system, it is characterized in that, comprising: breeding objective with different relationship analysis module, parent with different sort module, hybrid combination with different evaluation module, Single-plant Similarity-difference select module, kind with different comparison module, kind with different layout modules, kind with different cultivation module:
Described breeding objective is with different relationship analysis module: adopt with different relationship analysis principle and method, analyze the impact of each Characters on Yield or quality, distinguish major traits and less important proterties, the quantitative relation between clear and definite each proterties, thereby for determining that objective rational breeding objective provides foundation;
Described parent is with different sort module: determine quantitatively the close and distant relation between each parent, and the parent is classified on essential attribute by this relation, be used for instructing the preparation of hybrid combination;
Hybrid combination is with different judge module: adopt hybrid combination with different assessment principle and method, comprehensive assessment is carried out in hybrid combination to hybrid F1, thereby determines the emphasis combination;
Single-plant Similarity-difference is selected module: adopt Single-plant Similarity-difference to select principle and method, breeding segregative generation individuality or individual plant are selected, thereby decide what to use, individual plant be divided into 3 grades: the first-class individual plant individual plant of attaching most importance to, afterwards from generation to generation in addition primary part observation, selection; Second-class individual plant is general individual plant, keeps plantation, and continues to observe, select; Third-class individual plant is then eliminated;
Kind is with different comparison module: adopt kind with different comparison principle and method, from a plurality of objective traits the tested variety of strain evaluation, varietal yield test or production demonstration test is carried out overall merit;
Kind is with different layout modules: adopt kind with different major elements and method, kind multiple spot association area territory result of the test is analyzed, propose the kind of different ecological type district optimum plantation;
Kind is with different cultivation module: adopt kind with different cultivation principle and method, by treating that the identical degree on the cultivation characteristic is determined the similitude kind between recommended variety and the spread kind, and then realization breeding and good method is supporting.
2. the described crop of claim 1 is with the application of different breeding intelligent decision system in crop breeding.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1962212A1 (en) * | 2007-01-17 | 2008-08-27 | Syngeta Participations AG | Process for selecting individuals and designing a breeding program |
| CN101697167A (en) * | 2009-10-30 | 2010-04-21 | 邱建林 | Clustering-decision tree based selection method of fine corn seeds |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1962212A1 (en) * | 2007-01-17 | 2008-08-27 | Syngeta Participations AG | Process for selecting individuals and designing a breeding program |
| CN101697167A (en) * | 2009-10-30 | 2010-04-21 | 邱建林 | Clustering-decision tree based selection method of fine corn seeds |
Non-Patent Citations (1)
| Title |
|---|
| 郭瑞林等: "作物同异育种智能决策系统的研制及其在小麦育种中的应用", 《河南农业科学》 * |
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Application publication date: 20130403 |