CN109599150A - A kind of peanut specific test approximation method for screening varieties based on phenotype distance - Google Patents
A kind of peanut specific test approximation method for screening varieties based on phenotype distance Download PDFInfo
- Publication number
- CN109599150A CN109599150A CN201811462637.7A CN201811462637A CN109599150A CN 109599150 A CN109599150 A CN 109599150A CN 201811462637 A CN201811462637 A CN 201811462637A CN 109599150 A CN109599150 A CN 109599150A
- Authority
- CN
- China
- Prior art keywords
- phenotypic
- varieties
- variety
- peanut
- code
- 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.)
- Withdrawn
Links
Landscapes
- Breeding Of Plants And Reproduction By Means Of Culturing (AREA)
Abstract
本发明公开了一种基于表型距离的花生特异性测试近似品种筛选方法。该方法根据各个表型性状的表达状态观测值受环境条件影响的程度和人员观测偏差的大小，对各个花生表型性状的所有表达状态的代码差值设置不同的权重(如表1)，计算品种间有差异性状权重之和作为品种间的表型距离。通过对大量真实品种间表型距离和差异明显程度的比较分析，确定一个安全的表型距离阈值，低于该表型距离阈值的品种作为近似品种。采用这种方法，较好排除了人员观测偏差、互作和数据录入错误和对近似品种筛选的影响，提高了近似品种筛选的严谨性。采用该方法，便于田间试验时将最近似的品种与申请品种相邻种植，提高了特异性测试的针对性。
The invention discloses a method for screening similar varieties of peanuts based on phenotypic distance specificity test. This method sets different weights for the code differences of all expression states of each peanut phenotypic trait according to the degree to which the observed value of the expression state of each phenotypic trait is affected by environmental conditions and the magnitude of the deviation of personnel observations (as shown in Table 1), and calculates The sum of the weights of different traits among varieties was used as the phenotypic distance between varieties. Through the comparative analysis of the phenotypic distance and the obvious degree of difference between a large number of real varieties, a safe phenotypic distance threshold was determined, and the varieties below the phenotype distance threshold were regarded as similar varieties. By adopting this method, personnel observation bias, interaction and data entry errors and the influence on the screening of similar varieties are eliminated, and the rigor of screening of similar varieties is improved. By adopting this method, it is convenient to plant the most similar variety adjacent to the applied variety during the field test, which improves the pertinence of the specific test.
Description
Technical field
The present invention relates to a kind of peanut specific test approximation method for screening varieties based on phenotype distance, it is new to belong to plant
Kind test (or DUS test) technical field.
Background technique
Specificity, consistency and stability are the basic demands to plant variety, are that new variety of plant obtains kind power guarantor
The precondition of shield, staple crops kind variety certification and the registration of non-principal variety of crops.Specificity refers to application kind
All before the applying date known belong to or kind of the same race should be clearly distinguishable from.Have specificity for one kind of identification, needs
Prove that the kind is different from other any kinds of known similar crop on phenotypic character.Kind known to chief crop is often
It is ten hundreds of, by the kind (" application kind ") of each application DUS test compared with these known kinds carry out field planting,
It is infeasible in practice.For this reason, it may be necessary to which those, which are not needed plantation, relatively can determine and apply by some Filtering systems
The visibly different kind of kind phenotypic character excludes, and only planting those and not passing through field comparative test then not can determine that and application product
Whether kind has the kind (i.e. approximate kind) of obvious phenotypic difference.It is tested by field planting, compares application kind and approximate product
Kind whether there is notable difference, show whether application kind has the conclusion of specificity accordingly.Therefore, the selection of approximate kind is
The key link of specific test.
Although kind is large number of known to chief crop, for most of known kinds, the especially product of breeding morning
Kind, because the reasons such as yielding ability have been unable to meet current production needs, can not considered in approximate screening varieties.Approximate kind
Screening generally have by comparing application kind and still the known kind (such as the kind being bred as nearly ten years) of application potential
Trait expression state carries out.If can determine a known kind and apply kind expression status difference be big enough in
Notable difference is inherently shown when field planting between the two, then can be excluded the known kind, remaining kind is as close
Like kind.For quantitative character and false qualitative character (expression status in the consecutive variations region of especially false qualitative character),
Following characteristics can be presented because of the influence of environmental condition and human factor in expression status observation: (1) same by environmental influence
The same character of a kind, when different year and different regions are planted, expression status observation (expression status code) meeting
Certain fluctuation occurs；(2) different trait expressions degree affected by environment is different, show as expression status degree of fluctuation because
Character and it is different.(3) different testers are easy to produce deviation to the observed result of trait expression state.The size of deviation, with property
Shape and personnel have relationship.How to determine approximate screening varieties index, is the difficult point of approximate screening varieties.A kind of way is basis
The expression way of character, trait expression are influenced degree of fluctuation by environment degree and are influenced size by human error, by applying for product
Kind screens approximate kind: for false qualitative character and quantitative character, using therewith compared with each expression status of known kind
Differ the expression status range of 1-3 code.It is very high for the accuracy requirement of data using above-mentioned way.In practice, exist
Individual character expression status data it is excessive or due to data inputting due to being influenced to deviate normal value by personnel's observed deviation
Mistake, or due to the interaction (under rare occasion) of character and environmental condition, will lead to should be as the known product of approximate kind
Kind fails screening and comes in, and causes the omission of approximate kind, directly affects the accuracy of specific test.In addition, to each kind
Screening conditions be configured, process is cumbersome, and screening efficiency is lower.
Applicant develops the approximate method for screening varieties in a kind of peanut specific test based on phenotypic character before
(application number of invention patent 201610061376.2).Approximate method for screening varieties of this method based on single phenotypic character, is root
Degree of fluctuation is influenced by environment degree according to the expression way of character, trait expression and is influenced size by human error, for application
The false qualitative character of each of kind and quantitative character, it is known that kind uses the expression status range for differing 1-3 code therewith,
Through application kind compared with each expression status of known kind, approximate kind is screened.Applicant has found in follow-up study,
This method has still had following deficiency, needs further to improve: (1) poor fault tolerance, very high to the accuracy requirement of data.It is real
In trampling, there is the data of individual character expression status due to by personnel's observed deviation influenced deviate normal value it is excessive or by
In data inputting mistake, or due to the interaction (under rare occasion) of character and environmental condition, will lead to should be as approximate product
The known kind of kind fails screening and comes in, and causes the omission of approximate kind.(2) differential screening of this method based on single character is close
Like kind, interracial difference cannot be added up, be selected into less approximate kind；(3) selected approximate kind cannot be shown
With the degree of approximation of application kind, it is not easy to design field specific test test.
Summary of the invention
Aiming at the problem that the above-mentioned approximate method for screening varieties based on single character is easy to cause omission approximation kind, this hair
It is bright to provide a kind of peanut specific test approximation method for screening varieties based on phenotype distance.This method is directed to kind dissimilarity
Shape expression status observation is observed this different feature of influence degree by environment and personnel, between application kind and known kind
The expression status code difference of selected phenotypic character gives certain weight, by application kind and known kind in one group of character
Weight be added, obtain interracial phenotype distance.The size of weight depends on the character, expression status observation by environment and
The size of personnel observation influence degree and code difference.Trait expression is more stable, observed deviation is smaller, and weight is bigger；Code is poor
Value is bigger, and weight is bigger.By, there are the statistics of a large amount of test article inter-species phenotype distances of notable difference, finding out one to character
It is a approximation screening varieties safe distance, guarantee be higher than the safe distance kind there are apparent differences.Screening approximate product
When kind, using the safe distance as the threshold value of approximate screening varieties: the known kind higher than the safe distance is deposited with approximate kind
In apparent difference, do not need to plant；Field is carried out as approximate kind and application kind less than the known kind of the safe distance
Between adjacent plantation and Evaluation on specificity.In this way, personnel's observed deviation, interaction and data inputting mistake are preferably eliminated
With the influence of pairing approximation screening varieties, the preciseness of approximate screening varieties is improved.
The technical scheme is that a kind of peanut specific test approximation method for screening varieties based on phenotype distance,
It is characterized in that
(1) weight of each peanut phenotypic character code difference is set
The phenotypic character number of the current still peanut varieties (such as the kind being bred as nearly ten years) with application potential of acquisition
According to (the high character of Variety identification power in DUS Testing Guideline, two growth cycles of each kind general test), to the table of acquisition
Type trait data is arranged, and peanut varieties phenotype trait data library is established；It is observed according to the expression status of each phenotypic character
Value is by the degree of environmental influence and the size of personnel's observed deviation, to all expression status of each peanut phenotypic character
(such as code is 1-9 to code difference, and difference 0,1,2 ... 8) is arranged different weights, obtains data as shown in Table 1, is inputted
Peanut varieties phenotype trait data library；
For qualitative character, when code difference is more than or equal to 1, weight 2-6, for quantitative character and false qualitative character,
It is poor to different codes according to trait expression State Viewpoint measured value by the degree of environmental influence and the size of personnel's observed deviation
Value, gives different weights.The weight of peanut difference DUS test character expression status difference is as follows:
The weight of 1 peanut difference DUS test character expression status difference of table
Note: 1.QN: quantitative character, PQ: false qualitative character；QL: qualitative character
2. "-" indicates do not have (weight of corresponding respective code difference)
(2) setting of phenotype distance threshold
To the phenotypic character expression status code difference of pairs of peanut varieties, weight is assigned by the method for step (1), is owned
Weight addition on phenotypic character obtains two interracial phenotype distances；By the obvious journey of a large amount of phenotype distances and Differences
Degree is compared, and obtains relationship between the two, determines a phenotype distance threshold on this basis: when phenotype distance between kind
When greater than the threshold value, difference compares it is obvious that not needing field planting between kind；And by phenotype distance threshold input database
System.
The present invention after years of research and found that, suitable phenotype distance threshold be 2, i.e., when between kind phenotype distance >=2 when, product
Difference is apparent between kind；It is determined as approximate kind when two interracial phenotype distance < 2.
(3) approximate screening varieties
The approximate screening varieties software based on phenotype distance is developed in peanut varieties phenotype trait data library based on foundation.
The phenotype trait data of application kind to be measured is inputted into peanut varieties phenotype trait data library, which can be according to step
Suddenly the method for (2) calculates the phenotype distance of application kind to be measured and each known kind, and is compared with phenotype distance threshold
Compared with phenotype distance is less than approximate kind of the known kind of threshold value as the application kind to be measured.
Method of the invention is different with influence degree of the personnel to various trait expression status observation according to environmental condition
This feature gives a weight, the sum of variant character weight is used as kind between calculating kind to the difference of code kind
Between phenotype distance.By the comparative analysis between phenotype distance and difference obvious degree a large amount of true kinds, a peace is determined
Full phenotype distance threshold when guaranty inter-species phenotype distance is higher than the threshold value, certainly exists apparent difference between kind.Into
When row approximation screening varieties, lower than the kind of the phenotype distance threshold as approximate kind.Method of the invention has the advantage that
(1) fault-tolerance is strong, and preciseness is good.Even if individual character expression status observations are due to artificial origin (observed deviation, individual data
Mistake) or kind and environment interaction, deviate normal value, approximate kind will not be omitted, i.e. the fault-tolerance of this method is stronger, mentions
The high preciseness of approximate screening varieties.(2) with strong points.This method calculates application kind and approximate product by Database Systems
The phenotype distance of kind, convenient for, by the plantation adjacent with application kind of closest kind, improving specific test when field trial
Specific aim；(3) high-efficient.Using this method, do not need that each character is separately provided according to the expression status of application kind
Expression status range shortens the approximate screening varieties time.
Detailed description of the invention
Fig. 1 is the approximate screening varieties result of peanut application kind 2011-0887A (mountain flower No. 9).
Specific embodiment
Embodiment 1: kind phenotype trait data library known to peanut is established
2004 to 2017, applicant carried out DUS test to the peanut varieties of Huang-Huai-Hai 388 parts times altogether.Each
Two growth cycles of kind general test acquire data to all 31 characters in Testing Guideline in each period, adopt altogether
Collect phenotype trait data more than 1.2 ten thousand.To the phenotype trait data of acquisition, according to test character expression way, data type into
Arrangement is gone.On this basis, Huang-Huai-Hai peanut varieties phenotype trait data library is established, stores a product more than 300 altogether
The DUS test character data of kind.The screening of this example approximation kind relies on above-mentioned phenotype trait data library to carry out.
According to the expression status observation of each phenotypic character by the degree and personnel's observed deviation of environmental influence
Size, to all expression status code differences of selected rice phenotypic character, (such as code is 1-9, and difference 0,1,2 ... 8)
Different weights is set, and the weight of each character is arranged as shown in table 2.1-31.2, is further arranged based on the table
To one group of statistical data (table 1), above-mentioned phenotype trait data library is inputted.
1 florescence of character
Trait expression mode: QN；
Stability grade: 4 (generally 3-4 codes of fluctuation).
2.1 expression status of table and code
2.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
2 plant of character: flowering habit；
Trait expression mode: QL；
Stability grade: 2 (generally 2 codes of fluctuation).
3.1 expression status of table and code
| Expression status | Alternating is bloomed | Continuously bloom |
| Code | 1 | 2 |
3.2 code difference of table and weight
| Code difference | 0 | 1 |
| Weight | 0 | 6 |
3 stem of character: flowering habit；
Trait expression mode: QL；
Stability grade: 2 (generally 2 codes of fluctuation).
4.1 expression status of table and code
| Expression status | Nothing | Alternating is bloomed | Continuously bloom |
| Code | 1 | 2 | 3 |
4.2 code difference of table and weight
| Code difference | 0 | 1 | 2 |
| Weight | 0 | 6 | 6 |
4 leaf of character: leaflet shape；
Trait expression mode: PQ；
Stability grade: 3 (general 2 codes).
5.1 expression status of table and code
| Expression status | Oblong | Ellipse | Obovate | Wide obovate |
| Code | 1 | 2 | 3 | 4 |
5.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 |
| Weight | 0 | 0 | 1 | 2 |
The flower of character 6: corolla color；
Trait expression mode: QN；
Stability grade: 1.
6.1 expression status of table and code
| Expression status | It is light yellow | Yellow | It is orange-yellow |
| Code | 1 | 2 | 3 |
6.2 code difference of table and weight
| Code difference | 0 | 1 | 2 |
| Weight | 0 | 0 | 2 |
7 plant of character: habit；
Trait expression mode: QN；
Stability grade: 2 (generally 2 codes of fluctuation).
7.1 expression status of table and code
| Expression status | Uprightly | Half is upright | It crawls |
| Code | 1 | 2 | 3 |
7.2 code difference of table and weight
| Code difference | 0 | 1 | 2 |
| Weight | 0 | 0 | 1 |
Character 8 is only applicable to kind of crawling: stem: habit；
Trait expression mode: QL；
Stability grade: 1.
8.1 expression status of table and code
| Expression status | Uprightly | It is open and flat |
| Code | 1 | 2 |
8.2 code difference of table and weight
| Code difference | 0 | 1 |
| Weight | 0 | 4 |
Character 9 is only applicable to kind of crawling: side shoot: top upwarps degree；
Trait expression mode: QN；
Stability grade: 3 (general 3 codes).
9.1 expression status of table and code
9.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
10 leaf of character: leaflet size；
Trait expression mode: QN；
Stability grade: 4 (generally 4 codes of fluctuation).
10.1 expression status of table and code
10.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 |
11 stem of character: anthocyanin colour developing；
Trait expression mode: QL；
Stability grade: 1.
11.1 expression status of table and code
| Expression status | Nothing | Have |
| Code | 1 | 2 |
11.2 code difference of table and weight
| Code difference | 0 | 1 |
| Weight | 0 | 4 |
12 stem of character: density of pubescent；
Trait expression mode: QN；
Stability grade: 4 (generally 4 codes of fluctuation).
12.1 expression status of table and code
12.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
13 plant of character: stem height；
Trait expression mode: QN；
Stability grade: 3 (generally 3 codes of fluctuation).
13.1 expression status of table and code
13.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
14 plant of character: branch quantity；
Trait expression mode: QN；
Stability grade: 4 (can up to 4 codes).
14.1 expression status of table and code
14.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
15 plant of character: side shoot length；
Trait expression mode: QN；
Stability grade: 4 (general 4 codes).
15.1 expression status of table and code
15.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
16 maturity period of character
Trait expression mode: QN；
Stability grade: 3 (generally 3 codes of fluctuation).
16.1 expression status of table and code
16.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
17 pod of character: seed benevolence rate；
Trait expression mode: QN；
Stability grade: 3 (main 3 codes).
17.1 expression status of table and code
| Expression status | 1 to 2 | 2 to 3 | 3 or more |
| Code | 1 | 2 | 3 |
17.2 code difference of table and weight
| Code difference | 0 | 1 | 2 |
| Weight | 0 | 0 | 1 |
18 plant of character: pod number；
Trait expression mode: QN；
Stability grade: 4 (can up to 4 codes).
18.1 expression status of table and code
18.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
19 seed benevolence of character: dormant period；
Trait expression mode: QN；
Stability grade: 4 (can up to 5 codes).
19.1 expression status of table and code
19.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
20 pod of character: length；
Trait expression mode: QN；
Stability grade: 4 (generally 4 codes of fluctuation).
20.1 expression status of table and code
20.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
21 pod of character: contracting degree of hanging；
Trait expression mode: QN；
Stability grade: 4 (generally 4 codes of fluctuation).
21.1 expression status of table and code
21.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
22 pod of character: fruit mouth obvious degree；
Trait expression mode: QN；
Stability grade: 4 (generally 4 codes of fluctuation).
22.1 expression status of table and code
22.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
Character 23 has been only applicable to fruit mouth kind: pod: fruit mouth shape；
Trait expression mode: QL；
Stability grade: 1.
23.1 expression status of table and code
| Expression status | Directly | It is curved |
| Code | 1 | 2 |
23.2 code difference of table and weight
| Code difference | 0 | 1 |
| Weight | 0 | 2 |
Character 24: pod: surface texturisation；
Trait expression mode: PQ；
Stability grade: 3 (generally 2 codes of fluctuation).
24.1 expression status of table and code
| Expression status | It is smooth | It is smooth in | In | In to coarse | It is coarse |
| Code | 1 | 2 | 3 | 4 | 5 |
24.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 |
| Weight | 0 | 0 | 1 | 2 | 3 |
Character 25: pod: kernel percent；
Trait expression mode: QN；
Stability grade: 4 (generally 3 codes of fluctuation).
25.1 expression status of table and code
25.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
Character 26:* seed benevolence: hundred benevolence weights；
Trait expression mode: QN；
Stability grade: 3 (generally 3 codes of fluctuation).
26.1 expression status of table and code
26.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
27 seed benevolence of character: shape；
Trait expression mode: PQ；
Stability grade: 2 (generally 2 codes of fluctuation).
27.1 expression status of table and code
| Expression status | It is spherical | Cylindricality | Taper |
| Code | 1 | 2 | 3 |
27.2 code difference of table and weight
| Code difference | 0 | 1 | 2 |
| Weight | 0 | 0 | 2 |
Character 28: seed benevolence: kernel seed coat colour quantity；
Trait expression mode: QL；
Stability grade: 1.
28.1 expression status of table and code
| Expression status | It is monochromatic | Polychrome |
| Code | 1 | 2 |
28.2 code difference of table and weight
| Code difference | 0 | 1 |
| Weight | 0 | 4 |
Character 29: it is only applicable to monochromatic kind of skin kind: seed benevolence: kernel seed coat colour；
Trait expression mode: PQ；
Stability grade: 2 (generally 2 codes of fluctuation).
29.1 expression status of table and code
| Expression status | White | It is light brown | Brown | Light red | Peony | Purple | Darkviolet | Black |
| Code | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
29.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| Weight | 0 | 0 | 4 | 4 | 4 | 4 | 4 | 4 |
Character 30: seed benevolence: kind skin crackle；
Trait expression mode: QN；
Stability grade: 4 (generally 4 codes of fluctuation).
30.1 expression status of table and code
30.2 code difference of table and weight
| Code difference | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Weight | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
Character 31: seed benevolence: intradermal surface color is planted；
Trait expression mode: QN；
Stability grade: 2 (generally 2 codes of fluctuation).
31.1 expression status of table and code
| Expression status | White | It is light yellow | Buff |
| Code | 1 | 2 | 3 |
31.2 code difference of table and weight
| Code difference | 0 | 1 | 2 |
| Weight | 0 | 0 | 2 |
Embodiment 2: the screening of peanut approximation kind
1. peanut application kind totally 4, code name and title are as shown in table 32；
2. application kind is passed through each trait data (table 33) of the acquisition of plantation in 1 year, importing peanut phenotype trait data library；
3. setting 2 for safe distance, " screening " button is clicked, Database Systems list the close of corresponding each application kind
Like kind inventory (table 34, Fig. 1).Table 34 only lists the approximate kind that phenotype distance is 0.
Table 32 applies for kind
| Serial number | Apply for kind number | Apply for variety name |
| 1 | 2011-0887A | Mountain flower No. 9 |
| 2 | 2011-0888A | Mountain flower No. 11 |
| 3 | 2011-0889A | Mountain flower No. 12 |
| 4 | 2012-0416A | Agricultural university 056 |
Table 33 applies for the data (expression status of each character, i.e. code value) of kind First Year acquisition
The part approximation kind that table 34 filters out
This method automatically can be lined up selected approximate kind according to phenotype by Database Systems apart from size, be convenient for
By the plantation adjacent with application kind of closest kind when field trial, the specific aim of specific test is improved.
Claims (2)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811462637.7A CN109599150A (en) | 2018-12-03 | 2018-12-03 | A kind of peanut specific test approximation method for screening varieties based on phenotype distance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811462637.7A CN109599150A (en) | 2018-12-03 | 2018-12-03 | A kind of peanut specific test approximation method for screening varieties based on phenotype distance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109599150A true CN109599150A (en) | 2019-04-09 |
Family
ID=65959365
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811462637.7A Withdrawn CN109599150A (en) | 2018-12-03 | 2018-12-03 | A kind of peanut specific test approximation method for screening varieties based on phenotype distance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109599150A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115836644A (en) * | 2022-12-31 | 2023-03-24 | 浙江万里学院 | Screening method and application of azalea hybrid progeny flower phenotype excellent single plant |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014003530A4 (en) * | 2012-06-28 | 2014-03-13 | Moroccan Foundation For Advanced Science, Innovation & Research (Mascir) | Method for increasing the potential for biofuel production from microalgae by using bio-modulators |
| CN105132551A (en) * | 2015-09-01 | 2015-12-09 | 山东省农业科学院作物研究所 | Method for screening wheat approximate variety by virtue of SSR molecular marker |
| CN105678113A (en) * | 2016-01-29 | 2016-06-15 | 山东省农业科学院作物研究所 | Phenotypic character based approximate variety screening method in peanut specificity test |
| CN108796121A (en) * | 2018-07-04 | 2018-11-13 | 山东省农业科学院作物研究所 | A kind of specific test approximation kind high-efficiency screening method based on genetic similarty |
-
2018
- 2018-12-03 CN CN201811462637.7A patent/CN109599150A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014003530A4 (en) * | 2012-06-28 | 2014-03-13 | Moroccan Foundation For Advanced Science, Innovation & Research (Mascir) | Method for increasing the potential for biofuel production from microalgae by using bio-modulators |
| CN105132551A (en) * | 2015-09-01 | 2015-12-09 | 山东省农业科学院作物研究所 | Method for screening wheat approximate variety by virtue of SSR molecular marker |
| CN105678113A (en) * | 2016-01-29 | 2016-06-15 | 山东省农业科学院作物研究所 | Phenotypic character based approximate variety screening method in peanut specificity test |
| CN108796121A (en) * | 2018-07-04 | 2018-11-13 | 山东省农业科学院作物研究所 | A kind of specific test approximation kind high-efficiency screening method based on genetic similarty |
Non-Patent Citations (1)
| Title |
|---|
| GENEVA: "TRIAL DESIGN AND TECHNIQUES USED IN THE EXAMINATION OF DISTINCTNESS,UNIFORMITY AND STABILITY", 《HTTPS://WWW.UPOV.INT/MEETINGS/EN/DOC_DETAILS.JSP?MEETING_ID=25503&DOC_ID=199005》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115836644A (en) * | 2022-12-31 | 2023-03-24 | 浙江万里学院 | Screening method and application of azalea hybrid progeny flower phenotype excellent single plant |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Petraitis et al. | Inferring multiple causality: the limitations of path analysis | |
| Ahumada et al. | New catalogue of blue stragglers in open clusters | |
| Adugna et al. | Parametric and nonparametric measures of phenotypic stability in linseed (Linum usitatissimum L.) | |
| Sudianto et al. | Morphology of Malaysian weedy rice (Oryza sativa): diversity, origin and implications for weed management | |
| Rad et al. | Evaluation of melon (Cucumis melo. L) genotypes aiming effective selection of parents for breeding directed at high yield under drought stress condition | |
| Sadohara et al. | Seed coat color genetics and genotype× environment effects in yellow beans via machine‐learning and genome‐wide association | |
| Cole‐Rodgers et al. | A novel statistical approach to analyze genetic resource evaluations using Capsicum as an example | |
| Nattero et al. | Patterns of contemporary phenotypic selection and flower integration in the hummingbird‐pollinated Nicotiana glauca between populations with different flower–pollinator combinations | |
| Corrêa et al. | Artificial intelligence in the selection of common bean genotypes with high phenotypic stability | |
| CN109616158A (en) | A phenotypic distance-based screening method for rice-specific test approximation varieties | |
| Ramburan | A multivariate illustration and interpretation of non-repeatable genotype× environment interactions in sugarcane | |
| CN109599150A (en) | A kind of peanut specific test approximation method for screening varieties based on phenotype distance | |
| Tsenov et al. | Influence of environments on the amount and stability of grain yield in the modern winter wheat cultivars II. Evaluation of each variety | |
| Poiarkova et al. | Land-races of wheat from the northern Negev in Israel | |
| Turnbull et al. | Breeding methodology to select oil palm planting material partially resistant to Ganoderma boninense | |
| CN109635002A (en) | A kind of corn specific test approximation method for screening varieties based on phenotype distance | |
| Delices et al. | Morphological characterization of wild populations of Solanum lycopersicum var. cerasiforme in the tomato domestication area | |
| CN109558394A (en) | A kind of approximate method for screening varieties of Chinese cabbage differential test based on phenotype distance | |
| CN105740897B (en) | Approximate method for screening varieties in corn specific test based on phenotypic character | |
| CN109616159A (en) | A phenotypic distance-based screening method for soybean specificity testing similar varieties | |
| CN106688655A (en) | Simple method for evaluating sugarcane hybridized combinations | |
| CN105740655B (en) | Approximate method for screening varieties in soybean specific test based on phenotypic character | |
| Chen et al. | Variation in early plant height in wild soybean | |
| CN105678113B (en) | Approximate method for screening varieties in peanut specific test based on phenotypic character | |
| Davidson et al. | Registration of ‘CP 06‐2042’sugarcane |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190409 |
|
| WW01 | Invention patent application withdrawn after publication |