CN105740655B - Approximate method for screening varieties in soybean specific test based on phenotypic character - Google Patents
Approximate method for screening varieties in soybean specific test based on phenotypic character Download PDFInfo
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Abstract
The invention discloses the approximate method for screening varieties in the soybean specific test based on phenotypic character.This method initially sets up soybean varieties phenotype trait data storehouse, and application kind numbering, title and the trait expression State Viewpoint measured value or the trait data of mechanism for testing collection for then providing applicant import database;Expression status of each corresponding application each character of kind, according to the safe value range of known varietal character expression status set in advance, the input phase answers expression status scope in the database;Database comes out qualified approximate screening varieties.The present invention is according to environmental condition with personnel to this different feature of the influence degree of various trait with trait expression State Viewpoint measured value, for different type character and different trait expression State Viewpoint measured values, flexibly it is provided with the corresponding expression status range of choice of known kind, it is therefore prevented that the omission of approximate kind prevents the problem of being selected into excessive approximate kind again.
Description
Technical field
The present invention relates to the approximate method for screening varieties in a kind of soybean specific test based on phenotypic character, belong to
DUS technical field of measurement and test.
Background technology
Soybean originates in China, there is the cultivation history of 5000 in China, is one of China chief crop.China is in 1997
Year comes into effect Plant new variety protection system.According to China《Plant new variety protection regulations》Regulation, new variety of plant are required
Possesses specificity, uniformity and stability (abbreviation DUS) can just authorize kind power.In recent years, with Chinese Plants breeder's product
The continuous enhancing of kind power consciousness, the new variety of plant quantity for applying protecting increase year by year.Moreover, the Ministry of Agriculture《Main farming
Article kind authorization procedure》It is required that specificity, uniformity and stability must be possessed by applying for the kind of authorization.
Specific test is the emphasis and difficult point of DUS tests.Specificity refers to apply for that kind should be clearly distinguishable from application
It is all before day known to belong to together or kind of the same race.Possesses specificity, it is necessary to prove the kind not for one application kind of identification
It is same as known each kind.Known kind quantity is too many, by each application DUS test kind (applying for kind) with
These kinds carry out field planting comparison, are infeasible in practice.For this reason, it may be necessary to those are not required to by some Filtering systems
Plant and may know that and apply for that the visibly different kind of kind excludes, it is uncertain with applying for it is bright whether kind has only to plant those
The different kind of significant difference, i.e., approximate kind.Therefore, the selection of approximate kind is the key link of specific test again.
Although kind is large number of known to chief crop, for most of known kinds, especially early stage selection and breeding
Kind, because the reasons such as yielding ability have been unable to meet current production needs, can not consider in approximate screening varieties.Approximate product
The screening of kind is mainly by comparing application kind and still having kind known to application potential (such as the kind being bred as nearly ten years)
Trait expression state carries out.If can determine a known kind with apply kind expression status difference be big enough in
Notable difference is inherently shown during field planting between the two, then the known kind can be excluded, remaining kind is as near
Like kind.For quantitative character and false qualitative character (expression status in the consecutive variations region of false qualitative character), it expresses shape
Following characteristics can be presented because of the influence of environmental condition and human factor in state observation:(1) by environmental influence, same kind
Same character, when being planted in different year and different regions, expression status observation (expression status code) can occur one
Fixed fluctuation;(2) different trait expressions degree affected by environment is different, show as expression status degree of fluctuation because of character and
It is different.(3) different testers easily produce deviation to the observed result of same character expression status.The size of deviation, both depended on
In character, also influenced present position in character variation scope by expression status.Therefore, according to an application kind dissimilarity
How the expression status observation of shape, determine known kind expression status value range during approximate screening varieties, be approximate kind
The key of screening.Existing way is using fixed known kind expression status scope:For false qualitative character, using therewith
Identical expression status;For quantitative character, using the expression status scope for differing three codes therewith.Using product known to fixation
Kind expression status scope way, for the character and expression status being had a great influence by environment and personnel's observation, is easily omitted approximate
Kind, causes specific test result unreliable;Less character and expression shape are influenced conversely, for by environment and personnel's observation
State, causes to be selected into excessive approximate kind, increases testing cost, reduces experiment accuracy.
The content of the invention
The problem of approximate screening varieties are easy to cause omission or are selected into excessive approximate kind in being tested for above-mentioned DUS, this
Invention provides the approximate method for screening varieties in a kind of soybean specific test based on phenotypic character.This method is according to kind
Various trait and trait expression state are observed this different feature of influence degree by environment and personnel, by the every of application kind
One expression status observation sets the expression status scope of a corresponding known kind, greatly improves approximate screening varieties
Efficiency.
The technical scheme is that:A kind of approximate screening varieties side in soybean specific test based on phenotypic character
Method, it is characterized in that,
(1) foundation in soybean varieties phenotype trait data storehouse
The phenotypic character number of the current still soybean varieties (such as the kind being bred as nearly ten years) with application potential of collection
According to (all 31 characters in DUS Testing Guidelines, each two growth cycles of kind general test);To the phenotypic character of collection
Data are arranged, and establish soybean varieties phenotype trait data storehouse;
(2) apply for that varietal character data import
Soybean application kind numbering, title and the trait expression state observation that the applicant of soybean specific test is provided
The trait data for being worth (i.e. technology questionnaire trait data) or mechanism for testing collection imports soybean phenotype trait data storehouse;Input application
Variety name (or numbering), the expression status of the correlated traits of display application kind;
(3) the expression status scope of kind known to setting
The expression status (code) of each corresponding application each character of kind, according to known varietal character set in advance
The safe value range (as shown in table 1, comprising whole safe value ranges) of expression status, inputs respective table in the database
Up to state value range (code range);
(4) approximate screening varieties
Soybean varieties phenotype trait data storehouse comes out qualified approximate screening varieties.
The expression status scope that the approximate screening varieties of 1 soybean difference DUS test characters of table use
Remarks:1.QN:Quantitative character, PQ:False qualitative character;QL:Qualitative character;
2. "-" represents do not have (this code) or without considering (this character);
" 3. * " represents to provide the character that must be surveyed in DUS tests.
For the character of approximate screening varieties, several packet characters are may be as few as, up to whole Testing Guideline characters, character
Number with test data degree affected by environment have relation, such as:Data from same ecotope, it is affected by environment
It is relatively small, most multi-purpose whole Testing Guideline characters;Test data from planted in different ecological areas, it is affected by environment big, at least use
Whole qualitative characters, can select more stable quantitative character and false qualitative character on this basis.
The present invention is influenced according to soybean trait expression way and character and expression status expression by environment and personnel's observation
Degree, each corresponding application kind expression status observation, sets known kind expression status peace during approximate screening varieties
Full value range.Trait expression status safety value range is set according to the test data of multiple years, beyond the scope
Knowing kind, there are obvious phenotypic difference with application kind, it is not necessary to is planted as approximate kind.
The safe value range of table 1 of the present invention is according to following rule settings:For qualitative character, it is known that kind is expressed
Status safety value range uses the expression status identical with application kind;For quantitative character, according to trait expression State Viewpoint
Measured value is by environment and personnel's effect, it is known that the safe value range of kind expression status is using " application kind expression status
The value model of ± 1 code ", " application kind expression status ± 2 code " or " application kind expression status ± 3 code "
Enclose, and adjusted accordingly according to the difficulty or ease that position of the expression status in range of variation and observed deviation produce (such as apply for product
When certain character code of kind is " 1 ", it is known that the safe value range of kind expression status is adjusted to "+1 generation by " ± 3 codes "
Code ").For false qualitative character, to the expression status in discontinuous variance region, by the way of qualitative character;To in
Expression status in continuous variation scope, by the way of quantitative character.For the character of approximate screening varieties, may be as few as several
A packet character, up to whole Testing Guideline characters.
The advantages of the method for the present invention:The existing approximate method for screening varieties based on phenotypic character, does not fully take into account not
With character because being influenced by environment and personnel's observation, the characteristics of its expression status observation (code) degree of fluctuation is different.Near
During like screening varieties, there is provided fixed known kind vacation qualitative character and quantity trait expression state range, something lost is easy to cause
The problem of leaking or being selected into excessive approximate kind.The method of the present invention, according to environmental condition and personnel to various trait and character table
Up to this different feature of influence degree of State Viewpoint measured value, for different type character and different trait expression state observations
Value, flexibly there is provided the corresponding expression status range of choice (such as table 1) of known kind, it is therefore prevented that the omission of approximate kind, is improved
The preciseness of approximate screening varieties;Avoid because quantity character determination scope is excessive, cause to be selected into asking for excessive approximate kind
Topic, reduces the cost of specific test, improves the accuracy of specific test.Approximate product are screened by database technology
Kind, greatly improve approximate screening varieties efficiency.
Brief description of the drawings
Fig. 1 is the approximate screening varieties schematic diagram of soybean application kind 2013-0045A.
Embodiment
Embodiment 1:Establish soybean varieties phenotype trait data storehouse
2005 to 2014, applicant carried out DUS surveys to more than 300 part of Huang-Huai-Hai time soybean application kind altogether
Examination.All 31 characters in Testing Guideline are acquired number by each kind two growth cycles of general test in each cycle
According to collection phenotype trait data more than 9,000 is a altogether.To the phenotype trait data of collection, according to test character expression way, data class
Type is arranged.On this basis, Main Characters of Soybean Cultivars In The Huang-huai-hai Valley phenotype trait data storehouse is established, stores 264 altogether
The DUS test character data of kind.The screening of the present embodiment approximation kind relies on above-mentioned phenotype trait data storehouse to carry out.
Embodiment 2:The screening of soybean approximation kind
1. shown in totally 4 kinds of soybean application kind, code name and title (such as table 2);
2. application kind is gathered each trait data (such as table 3) by plantation in 1 year, soybean phenotype trait data storehouse is imported;
3. application kind code name is clicked on, the trait information of display application kind.Seen according to application varietal character expression status
Measured value, the value range (input method is as shown in Figure 1) of kind correlated traits expression status known to input, its safe value range
As shown in table 1.
4. clicking on " screening " button, Database Systems list the approximate kind inventory (such as table 4) of corresponding each application kind.
Table 2 applies for kind
Sequence number | Apply for kind | Variety name |
1 | 2013-0045A | Zheng 7051 |
2 | 2013-0088A | Northern agriculture 107 |
3 | 2013-0089A | Northern agriculture 108 |
4 | 2013-0095A | Holy beans 14 |
Table 3 applies for the data (expression status of each character, i.e. code value) of kind First Year collection
Remarks:Character sequence number is the same as table 1.
The approximate kind that table 4 filters out
In DUS tests, it will apply for that kind and the approximate kind of screening will carry out adjacent plantation, by applying for kind and entering
The observation of the choosing approximate kind trait expression state is verified, it was demonstrated that this method is suitable, the approximate kind both nothing lefts filtered out
Leakage is not selected into excessive approximate kind again.
The method of the present invention, the especially value range in table 1 are applicants according to soybean trait expression way and property
Shape and expression status expression are observed influence degree, the knot verified according to the test data of multiple years by environment and personnel
Fruit, for instructing the approximate screening varieties in soybean specific test to have great importance.
Claims (1)
1. the approximate method for screening varieties in a kind of soybean specific test based on phenotypic character, it is characterized in that,
(1) foundation in soybean varieties phenotype trait data storehouse
The phenotype trait data of the current still soybean varieties with application potential of collection;Phenotype trait data progress to collection is whole
Reason, establishes soybean varieties phenotype trait data storehouse;
(2) apply for that varietal character data import
Application kind numbering, title and trait expression State Viewpoint measured value or the test that the applicant of soybean specific test is provided
The trait data of mechanism collection imports soybean phenotype trait data storehouse;Input application variety name or numbering, display application kind
Correlated traits expression status;
(3) the expression status scope of kind known to setting
The expression status of each application each character of kind is corresponded to, the known varietal character expression status according to table 1
Safe value range, in the database the input phase answer expression status value range;
(4) approximate screening varieties
Soybean varieties phenotype trait data storehouse comes out qualified approximate screening varieties;
1 expression status scope of table
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN103607884A (en) * | 2011-03-17 | 2014-02-26 | 生物探索(新西兰)有限公司 | Screening methods |
CN104735970A (en) * | 2012-07-13 | 2015-06-24 | 先锋国际良种公司 | Molecular markers for various traits in wheat and methods of use |
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CN103607884A (en) * | 2011-03-17 | 2014-02-26 | 生物探索(新西兰)有限公司 | Screening methods |
CN104735970A (en) * | 2012-07-13 | 2015-06-24 | 先锋国际良种公司 | Molecular markers for various traits in wheat and methods of use |
Non-Patent Citations (1)
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中国茶花品种分类、测试指南及已知品种数据库构建;张晓庆;《中国优秀硕士学位论文全文数据库农业科技辑》;20090415(第4期);第36-37,53,64-75页 * |
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