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 PDF

Info

Publication number
CN105740655B
CN105740655B CN201610061379.6A CN201610061379A CN105740655B CN 105740655 B CN105740655 B CN 105740655B CN 201610061379 A CN201610061379 A CN 201610061379A CN 105740655 B CN105740655 B CN 105740655B
Authority
CN
China
Prior art keywords
character
approximate
expression status
soybean
trait
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610061379.6A
Other languages
Chinese (zh)
Other versions
CN105740655A (en
Inventor
张晗
李汝玉
段丽丽
孙加梅
郑永胜
王玮
王雪梅
仙丽娜
李华
王秀娟
王穆穆
王东建
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CROP Research Institute of Shandong Academy of Agricultural Sciences
Original Assignee
CROP Research Institute of Shandong Academy of Agricultural Sciences
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CROP Research Institute of Shandong Academy of Agricultural Sciences filed Critical CROP Research Institute of Shandong Academy of Agricultural Sciences
Priority to CN201610061379.6A priority Critical patent/CN105740655B/en
Publication of CN105740655A publication Critical patent/CN105740655A/en
Application granted granted Critical
Publication of CN105740655B publication Critical patent/CN105740655B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00ICT programming tools or database systems specially adapted for bioinformatics

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Bioethics (AREA)
  • Biophysics (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

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

Approximate method for screening varieties in soybean specific test based on phenotypic character
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
CN201610061379.6A 2016-01-29 2016-01-29 Approximate method for screening varieties in soybean specific test based on phenotypic character Active CN105740655B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610061379.6A CN105740655B (en) 2016-01-29 2016-01-29 Approximate method for screening varieties in soybean specific test based on phenotypic character

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610061379.6A CN105740655B (en) 2016-01-29 2016-01-29 Approximate method for screening varieties in soybean specific test based on phenotypic character

Publications (2)

Publication Number Publication Date
CN105740655A CN105740655A (en) 2016-07-06
CN105740655B true CN105740655B (en) 2018-04-24

Family

ID=56247930

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610061379.6A Active CN105740655B (en) 2016-01-29 2016-01-29 Approximate method for screening varieties in soybean specific test based on phenotypic character

Country Status (1)

Country Link
CN (1) CN105740655B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109616159A (en) * 2018-12-03 2019-04-12 山东省农业科学院作物研究所 A kind of soybean specific test approximation method for screening varieties based on phenotype distance
CN111985785A (en) * 2020-07-24 2020-11-24 华南农业大学 Evaluation method of longan variety difference based on phenotype weight distance

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10626409B2 (en) * 2014-07-08 2020-04-21 Altria Client Services Llc Genetic locus imparting a low anatabine trait in tobacco and methods of using

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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)

* Cited by examiner, † Cited by third party
Title
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 *

Also Published As

Publication number Publication date
CN105740655A (en) 2016-07-06

Similar Documents

Publication Publication Date Title
Martin et al. People plant trees for utility more often than for biodiversity or carbon
Bayo‐Moriones et al. 5S use in manufacturing plants: contextual factors and impact on operating performance
Chen et al. Characterizing the dynamics of cone production for longleaf pine forests in the southeastern United States
Samantaray et al. Constraints in vegetable production-experiences of tribal vegetable growers
Koenig et al. Environmental correlates of acorn production by four species of Minnesota oaks
Gerhold et al. Functional and phylogenetic community assembly linked to changes in species diversity in a long‐term resource manipulation experiment
Solomon et al. Maximum size–density relationships for mixed softwoods in the northeastern USA
Petit et al. Patterns of weed co‐occurrence at the field and landscape level
CN105740655B (en) Approximate method for screening varieties in soybean specific test based on phenotypic character
Jacobs et al. Nursery stock quality as an indicator of bottomland hardwood forest restoration success in the Lower Mississippi River Alluvial Valley
Marinus et al. The devil is in the detail!: sustainability assessment of African smallholder farming
Solomon et al. Effects of uneven-age management intensity on structural diversity in two major forest types in New England
CN105678113B (en) Approximate method for screening varieties in peanut specific test based on phenotypic character
Concenço et al. Phytosociological surveys in weed science: Old concept, new approach
Wang et al. Contrasting understorey species responses to the canopy and root effects of a dominant shrub drive community composition
CN105740897B (en) Approximate method for screening varieties in corn specific test based on phenotypic character
Roux et al. Risk assessment for Puccinia psidii becoming established in South Africa
Blank et al. Intraspecific variation in gender strategies in Lycium (Solanaceae): associations with ploidy and changes in floral form following the evolution of gender dimorphism
Gaddi et al. Yield gaps, constraints and potential in cotton production in North Karnataka-An econometric analysis
Maredia et al. Estimating overall returns to international agricultural research in Africa through benefit‐cost analysis: a “best‐evidence” approach
Cristofoli et al. Colonisation credit in recent wet heathland butterfly communities
CN105488234B (en) Approximate method for screening varieties in rice specific test based on phenotypic character
De Silva et al. Design science research based blended approach for usability driven requirements gathering and application development
Rani et al. Bt Cotton in Tamil Nadu: An Evaluation of Farmers’ Experiences
Adetumbi et al. Seed handling system and its implications on seed quality in South Western Nigeria

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant