CN105653895B - A kind of strain of sargassum fusifome differentiates and sorting technique - Google Patents
A kind of strain of sargassum fusifome differentiates and sorting technique Download PDFInfo
- Publication number
- CN105653895B CN105653895B CN201511004442.4A CN201511004442A CN105653895B CN 105653895 B CN105653895 B CN 105653895B CN 201511004442 A CN201511004442 A CN 201511004442A CN 105653895 B CN105653895 B CN 105653895B
- Authority
- CN
- China
- Prior art keywords
- sargassum fusifome
- analysis
- sample
- principal component
- variable
- 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
Links
- 241000195474 Sargassum Species 0.000 title claims abstract description 130
- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000000877 morphologic effect Effects 0.000 claims abstract description 58
- 238000004458 analytical method Methods 0.000 claims abstract description 51
- 230000035800 maturation Effects 0.000 claims abstract description 34
- 230000002068 genetic effect Effects 0.000 claims abstract description 24
- 238000012360 testing method Methods 0.000 claims abstract description 10
- 238000013425 morphometry Methods 0.000 claims abstract 2
- 238000005259 measurement Methods 0.000 claims description 34
- 238000007619 statistical method Methods 0.000 claims description 25
- 239000002775 capsule Substances 0.000 claims description 19
- 239000011159 matrix material Substances 0.000 claims description 14
- 238000010219 correlation analysis Methods 0.000 claims description 12
- 238000000513 principal component analysis Methods 0.000 claims description 12
- 238000011161 development Methods 0.000 claims description 7
- 230000018109 developmental process Effects 0.000 claims description 7
- 230000012010 growth Effects 0.000 claims description 6
- 238000001543 one-way ANOVA Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 5
- 235000013399 edible fruits Nutrition 0.000 claims description 4
- 238000007621 cluster analysis Methods 0.000 claims description 3
- 230000002596 correlated effect Effects 0.000 claims description 2
- 230000000875 corresponding effect Effects 0.000 claims description 2
- 230000001186 cumulative effect Effects 0.000 claims description 2
- 230000032633 organ maturation Effects 0.000 claims description 2
- 239000013535 sea water Substances 0.000 claims description 2
- FGUUSXIOTUKUDN-IBGZPJMESA-N C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 Chemical compound C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 FGUUSXIOTUKUDN-IBGZPJMESA-N 0.000 claims 1
- 238000009313 farming Methods 0.000 abstract description 24
- 238000009395 breeding Methods 0.000 abstract description 11
- 230000001488 breeding effect Effects 0.000 abstract description 11
- 238000011160 research Methods 0.000 abstract description 9
- 238000012216 screening Methods 0.000 abstract description 6
- 235000013311 vegetables Nutrition 0.000 abstract description 4
- 238000011156 evaluation Methods 0.000 abstract description 3
- 238000004321 preservation Methods 0.000 abstract description 3
- 238000011835 investigation Methods 0.000 abstract description 2
- 238000011017 operating method Methods 0.000 abstract description 2
- 241000196324 Embryophyta Species 0.000 description 8
- 238000010835 comparative analysis Methods 0.000 description 5
- 238000006467 substitution reaction Methods 0.000 description 5
- 210000000056 organ Anatomy 0.000 description 4
- 230000001902 propagating effect Effects 0.000 description 4
- 241000264279 Sargassum fusiforme Species 0.000 description 3
- 238000009396 hybridization Methods 0.000 description 3
- 230000000366 juvenile effect Effects 0.000 description 3
- 241000283903 Ovis aries Species 0.000 description 2
- 238000003556 assay Methods 0.000 description 2
- 238000009402 cross-breeding Methods 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 210000001161 mammalian embryo Anatomy 0.000 description 2
- 239000003550 marker Substances 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 230000037195 reproductive physiology Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 241001494479 Pecora Species 0.000 description 1
- 210000004027 cell Anatomy 0.000 description 1
- 230000010159 dioecy Effects 0.000 description 1
- 210000001840 diploid cell Anatomy 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 210000004602 germ cell Anatomy 0.000 description 1
- 210000003783 haploid cell Anatomy 0.000 description 1
- 230000006799 invasive growth in response to glucose limitation Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000011278 mitosis Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000050 nutritive effect Effects 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 230000033458 reproduction Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 230000020509 sex determination Effects 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 230000014639 sexual reproduction Effects 0.000 description 1
- 241000894007 species Species 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B25/00—ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Theoretical Computer Science (AREA)
- Spectroscopy & Molecular Physics (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Biology (AREA)
- Biotechnology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Epidemiology (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Molecular Biology (AREA)
- Genetics & Genomics (AREA)
- Bioethics (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Farming Of Fish And Shellfish (AREA)
- Breeding Of Plants And Reproduction By Means Of Culturing (AREA)
Abstract
The inventive method is applied to sargassum fusifome germplasms evaluation, the strain classification of artificial farming sargassum fusifome colony, breeding and the nearly source Genetic relationship of original seed and screen etc. that manually planted vegetables using sargassum fusifome generative propagation.Operating procedure of the present invention mainly includes：Sargassum fusifome life history characteristics, the morphometry of sargassum fusifome maturation sporinite morphological feature main component, sargassum fusifome maturation sporinite morphological feature correlation mathematics model analysis, sargassum fusifome maturation sporinite morphological feature principal component mathematics model analysis, sargassum fusifome maturation sporinite morphological feature principal component cluster mathematics model analysis and sargassum fusifome maturation sporinite strain differentiate and classification judges etc..Patent of the present invention can be sargassum fusifome Germplasm Resource Investigation, sargassum fusifome maturation sporinite population diversity is analyzed, sargassum fusifome basic scientific research test sample screens, sargassum fusifome introduces a fine variety morphological feature stability analysis, manually differentiates discriminating and the sorting technique that science is provided with screening and the preservation of vegetative propagation elite plant rhizoid etc. using sargassum fusifome generative propagation breeding.
Description
Technical field
Differentiate the present invention relates to a kind of sargassum fusifome strain and sorting technique, this method are adjusted suitable for sargassum fusifome germ plasm resource
Look into, the analysis of sargassum fusifome maturation sporinite population diversity, (reproductive physiology, ecology are biochemical, quality point for sargassum fusifome basic scientific research
Analysis, genetic diversity etc.) screening sample, sargassum fusifome is introduced a fine variety or crossbreeding morphological feature stability analysis, is manually dwelt using sheep
The discriminating of dish generative propagation breeding utilizes scientific research and the agriculturals such as the preservation of sargassum fusifome vegetative propagation elite plant rhizoid with screening and manually
Production field.
Background technology
Sargassum fusifome is the distinctive low tide band of the Pacific Northwest immediate offshore area, large-scale, the food class class brown alga of medicine two.Geographical distribution
Influence, different latitude sargassum fusifome colony maturation sporinite morphological differences is notable, and Northeast Asia countries are carried out from late 1930s
Sargassum fusifome scientific research so far, although achieving skill in terms of manually seed is cultivated using sargassum fusifome generative propagation and vegetative propagation
Art breaks through, but due in the sargassum fusifome cycle history of life juvenile sporophyte it is not notable to sporinite stage poor morphology heteropole, and ripe spore
The inapparent reason of daughter period morphological differences so that be engaged in sargassum fusifome science researcher and be engaged in sargassum fusifome seed breeding skill
Art personnel are analyzed sargassum fusifome maturation frond regularity, strain is classified, strain degree of variation is analyzed, generative propagation plants vegetables, and screening etc. is square
Face is constantly in the non-scientific sorting phase that experience discriminating or name are carried out with geographical population characteristic, and this phenomenon is existing
It is of common occurrence in scientific documents report about sargassum fusifome both at home and abroad.The morphologic appearance of plant by gene (DNA) type and environment because
Sub (salinity, water temperature, pH value, intensity of illumination, periodicity of illumination, nutritive salt etc.) dual regulation and control, usually induce same geographical kind and exist
In different geographical breeding process, significant changes may occur for morphological feature so that original form significant difference it is two or more
Geographical kind, after propagating for 1~2 generation artificially, morphological feature tends to that difference is not notable, and this phenomenon is in Wenzhou City, Zhejiang Province hole
It is particularly evident in cultivating process that Head Section sargassum fusifome external source kind is introduced into and sargassum fusifome plants vegetables.
The content of the invention
Based on technical field and technical background, of the invention is to propose that accurate, efficiently, easily sargassum fusifome strain differentiates
With the method for classification.This method is applied to sargassum fusifome germplasms evaluation, artificial farming sargassum fusifome colony strain differentiates and classified,
Breeding and the nearly source Genetic relationship of original seed and screen etc. that manually planted vegetables using sargassum fusifome generative propagation.
In view of the above-mentioned problems, propose following technical scheme：Based on goal of the invention, a kind of sargassum fusifome provided by the invention
Strain differentiates and sorting technique includes following operating procedure：
A. sample is chosen
Sargassum fusifome dioecism, frond dark brown, the history of life include tangible breeding and vegetative propagation history of life two parts, had
The sexual reproduction history of life include gametophyte (male gametophyte-sperm and egagametophyte-ovum), zygote (embryonated egg), embryo (rataria and into
Cooked flake), juvenile sporophyte, growth and the stage of development of sporinite and ripe sporinite；The vegetative propagation history of life includes rhizoid, young spore
The growth and development stage of daughter, sporinite and ripe sporinite.The gametophyte stage belongs to the haploid cell stage；Zygote stage category
The diploid cell stage；The stage of development of embryo stage category mitosis many cells aggregate and raw water white transparency rhizoid filamentous
Stage；Juvenile sporophyte stage accessory has the growth and development stage of rhizoid, stem and foliage organ feature；Sporinite stage accessory is false
Root, stem, leaf and the growth and development stage of air bag (fasciation, tool feature air vesicle) organ characteristic, now, week is presented in overall plant
The feature of body air bag；Ripe sporinite stage accessory rhizoid, stem, leaf, air bag and the growth and development rank of receptacle organ characteristic
Section, and each organ of ripe breeding period is in the maturity period, morphological feature is stable.Therefore, the present invention chooses sargassum fusifome maturation sporinite
Stage as the Life Stages for being applicable this method, samples specification according to test sample, randomly selects more plants of sargassum fusifome maturation spores
The daughter stage is the test sample that strain differentiates and classified, and is temporarily supported into nature seawater.
B. the measurement of sample morphological feature
Relativity is referred to as theoretical foundation using the different expression form of the same character of same organism.Each sample is marked, is pressed
Morphological locus, measure each strain sargassum fusifome rhizoid [length, diameter], stem [length, diameter], leaf [length, diameter], air bag (bag
Include side life branch base portion fasciation air bag in feature air vesicle and fasciation ballonet) [capsule point length, utricule length, suspensor length and
Capsule diameters] and the characteristic value such as receptacle (antheridiophore and female support) [base body length, base body diameter and support handle length], record measurement
Value, sample duplicate measurements is several times (3~5 times).
C. the Discrete point analysis of sample morphological feature
By statistical analysis software (SPSS or Excel statistical analysis softwares), by each sample morphological feature numerical value in step b
Scatter diagram mathematical modeling is substituted into, scatter diagram is exported, tentatively judges to whether there is pertinent trends between each variable (measurement index), is selected
The numerical variable index of scatterplot Relatively centralized is selected, carries out correlation analysis, record analysis result.
D. the correlation analysis of sample morphological feature
By the variable value in the variable index judged in step c and corresponding b step substitute into SPSS softwares (SPSS16.0~
SPSS19.0) Pearson correlation coefficient model, according to two-sided test (2-tailed) standard, Correlation is exported
(Pearson correlation coefficient), correlation test is carried out, i.e.,：" " is uncorrelated between variable, and " * " is 0.05 horizontal related, and " * * " are
0.01 is horizontal related.In addition, according to test value, degree of correlation is made to distinguish as follows according to the size of coefficient correlation (| r |),
I.e.：| r | >=0.8, height correlation between two variables；0.5≤| r | ＜ 0.8, two variable moderates are related；0.3≤| r | ＜ 0.5, two become
Measure lower correlation；| r | ＜ 0.3, two variable degrees of correlation are extremely weak, judge coefficient correlation, and judgement meets correlation, but endless total correlation
Variable, determine variable whether meet carry out principal component analysis mathematics model analysis, mark meet number of principal components model analysis
Numerical variable.
E. the mathematics model analysis of principal component
According to principal component mathematics model needs, choosing has certain correlation, but the variable of endless total correlation, i.e.,：0 ＜
| r | ＜ 1 numerical value scalar (if two scalars are perfectly correlated, only selecting one), by the result of Step d substitute into SPSS softwares it is main into
Analysis mathematical modeling, selection and output variable Correlations (coefficient correlation), (variable is common by Communalities
Degree), Total Variance Expiained (variance contribution table), Componet Matrixa (Factor load-matrix),
Component Score Coefficient Matrix (principal component scores coefficient matrix) and Component Score
Covariance Matrix (principal component covariance matrix) information.(Extraction) value is extracted in spending jointly according to variable to sentence
Surely explanation degree of the principal component extracted to each variable, i.e.,：X ＞ 0.85, show explanation degree of the principal component to each variable
It is all high, X ＜ 0.5, illustrate that the principal component of extraction not comprising secondary variable information, need to increase principal component；According at the beginning of variance contribution table
Add up variance contribution ratio (Cumulative%) in beginning characteristic value (Initial Eigenvalues) and judge that reaching common explains always
The principal component number of variable 70%~90%；Rubble figure (Scree polt) other lists are aided in, it is final to determine principal component and master
Composition number.As a result show, sargassum fusifome morphological feature principal component includes：Air bag (feature air vesicle) and stem (diameter) two parts.
F. the cluster mathematics model analysis of principal component
Judged according to step e, the sargassum fusifome fasciation feature air vesicle morphological feature value and stem diameter number that b step is measured
Value, SPSS software Q- type Clustering Models are substituted into respectively, each sample characteristics air vesicle cluster analysis collection of illustrative plates and stem width is obtained and gathers
Alanysis collection of illustrative plates.
G. strain differentiates and classification judges
The single factor test for being substituted into genetic distance value in SPSS statistical analysis softwares according to the genetic distance collection of illustrative plates that step e is drawn
Variance analysis mathematical modeling, intra-class variance analysis is carried out, judge the significance of difference of collecting sample morphological feature, as a result basis
“**：Highly significant, F ＞ F0.01”、“*：Significantly, F0.05＜ F ＜ F0.01" and " (*)：General notable, F0.1＜ F ＜ F0.05" judge
Standard, judge the significance of difference of collecting sample morphological feature, will meet " (*)：General notable, F0.1＜ F ＜ F0.05" standard
Sample is classified as identical strain or kind, will meet " * *：Highly significant, F ＞ F0.01" sample of standard is classified as entirely different product
System or kind, will meet " *：Significantly, F0.05＜ F ＜ F0.01" sample of standard is classified as crosses or kind.
In the present invention, the selection of involved sargassum fusifome Life Stages, the morphological feature measurement of sample, correlation analysis,
Scatter diagram drafting, principal component analysis, genetic distance collection of illustrative plates is drawn and one-way analysis of variance, it is necessary to meets sargassum fusifome organ maturation
The condition requirement of feature and mathematical modeling in itself.
The strain of sargassum fusifome provided by the invention differentiates and sorting technique, this method comprehensive utilization science of heredity, botany, plant
The relevant mathematical modeling of thing taxology, biostatistics and modern judge instrument (SPSS or Excel statistical analysis softwares), science,
Reasonably realize the discriminating and classification of sargassum fusifome strain or kind.The present invention can be sargassum fusifome Germplasm Resource Investigation, sargassum fusifome
Ripe sporinite colony morphology signature analysis, sargassum fusifome basic scientific research (reproductive physiology, ecological biochemistry, attributional analysis, heredity
Diversity etc.) screening sample, sargassum fusifome introduces a fine variety (or crossbreeding) morphological feature stability analysis, manually sexual using sargassum fusifome
Reproduction improved variety differentiates provides science with screening and artificial preservation for utilizing sargassum fusifome vegetative propagation elite plant rhizoid etc.
Discriminating and sorting technique.
Embodiment
It is right below in conjunction with specific implementation example in order to embody the clear understandable of technical scheme and operating process
The present invention is further described.
Implement example 1：The strain of areal sargassum fusifome maturation sporinite differentiates and classification, sargassum fusifome in the present embodiment
Manage position difference and ecological factor difference is not notable.
As first implementation example of the present invention, the strain diversity suitable for propagating sargassum fusifome maturation sporinite artificially
The research such as evaluation or strain classification, the strain of described sargassum fusifome maturation sporinite differentiates and sorting technique mainly includes following step
Suddenly：
(1) sargassum fusifome colony
This Exemplary assays sample is limited to areal identical artificial farming colony.Such as：At the beginning of annual mid-April to August, Zhejiang
Jiang Sheng Wenzhou City Dongtou area bay or the artificial farming sargassum fusifome maturation sporinite colony of Ao mouths.
(2) sample is chosen
According to mathematical statistics principle, it is individual to randomly select artificial farming sargassum fusifome maturation sporinite sample >=30 (n >=30),
Each sample is marked, such as：Time：×××；Place：×××；X1, time：×××；Place：×××；X2, time：××
×；Place：×××；X3 ... the times：×××；Place：×××；X30, each sample form of camera record.
(3) measurement of sample morphological feature
Each sample rhizoid of vernier caliper measurement (length, diameter), stem (diameter), leaf (length, width), air bag (Nang Jianchang
Degree, utricule length, suspensor length and capsule diameters), receptacle (base body length, base body diameter and support handle length), record measurement
Data.
(4) Discrete point analysis of sample morphological feature
(3) measurement data is substituted into SPSS or Excel statistical analysis softwares respectively, scatterplot graph model is made, judges each change
(measurement index) pertinent trends are measured, select the numerical variable index of scatterplot Relatively centralized, carry out correlation analysis, record analysis knot
Fruit.
(5) correlation analysis of sample morphological feature
By (4) judge variable index and correspondingly (3) variable data substitution SPSS statistical analysis softwares in Pearson phases
Closing property mathematical modeling, judges coefficient correlation, and judgement meets correlation, but the variable of endless total correlation, determine variable whether meet into
Row principal component analysis mathematics model analysis, mark meet the numerical variable mark of number of principal components model analysis.
(6) mathematics model analysis of principal component
The principal component analysis mathematical modeling that the result of (5) is substituted into SPSS statistical analysis softwares, export analysis result, root
According to the information such as variance contribution table and principal component covariance matrix, judge artificial farming sargassum fusifome morphological feature numerical variable it is main into
Point.
(7) the cluster mathematics model analysis of principal component
According to (6) result of determination, the identical numerical variable of sargassum fusifome will be propagated artificially and substituted into SPSS statistical analysis softwares
Genetic distance collection of illustrative plates mathematical modeling, output result.
(8) strain differentiates and classification judges
Genetic distance value is substituted into by SPSS statistical analysis softwares according to the genetic distance collection of illustrative plates that (7) genetic distance collection of illustrative plates is drawn
In one-way analysis of variance mathematical modeling, carry out in group and between-group variance analysis, as a result according to " * *：Highly significant, F ＞
F0.01”、“*：Significantly, F0.05＜ F ＜ F0.01" and " (*)：General notable, F0.1＜ F ＜ F0.05" criterion, judge collecting sample
The significance of difference of morphological feature, it will meet " (*)：General notable, F0.1＜ F ＜ F0.05" to be designated as introduces a collection identical for the sample of standard
Strain or kind, " * * will be met：Highly significant, F ＞ F0.01" sample of standard is designated as the entirely different strain or kind of introduces a collection,
" * will be met：Significantly, F0.05＜ F ＜ F0.01" sample of standard is designated as provenance hybridization strain or kind.
Implement example 2：The strain of sargassum fusifome maturation sporinite under the conditions of the different growing environment of areal differentiates and divided
Class.
As second implementation example of the present invention, dwelt suitable for the strain diversity for propagating sargassum fusifome artificially with wild sheep
The research of the nearly source affiliation of dish, the strain of described sargassum fusifome maturation sporinite differentiates and sorting technique mainly includes following step
Suddenly：
(1) sargassum fusifome colony
This Exemplary assays sample is limited to areal artificial farming sargassum fusifome colony and wild sargassum fusifome colony.Such as：Annual 4
At the beginning of the middle of the month to August, the ripe sporinite colony of the artificial farming sargassum fusifome of Wenzhou City, Zhejiang Province Dongtou area bay or Ao mouths
With annual first arrival in July mid-August (spring tide and neap season low tide), Wenzhou City, Zhejiang Province Dongtou area island or adjacent island are wild
Raw sargassum fusifome maturation sporinite colony.
(2) sample is chosen and morphological feature measures
At the beginning of annual mid-April to August, fixed point chooses 3~5 fairly large cultivation bays or Ao mouths, each cultivates bay
Or Ao mouths respectively randomly select artificial farming sargassum fusifome maturation sporinite sample >=30 (n >=30) it is individual, marker samples, such as：Time：×
××；Place：×××；X1, time：×××；Place：×××；X2, time：×××；Place：×××；X3……
Time：×××；Place：×××；X30 (similarly hereinafter), each sample form of camera record.Each sample rhizoid of vernier caliper measurement
(length, diameter), stem (diameter), leaf (length, width), (capsule point length, utricule length, suspensor length and utricule are straight for air bag
Footpath), receptacle (base body length, base body diameter and support handle length), record measurement data.
Annual first arrival in July mid-August (spring tide and neap season low tide), fixed point choose 3~5 raw wild sargassum fusifome
Island or islands and reefs, each island or islands and reefs respectively randomly select wild sargassum fusifome maturation sporinite sample >=30 (n >=30), mark
Sample.Each sample rhizoid of vernier caliper measurement (length, diameter), stem (diameter), leaf (length, width), air bag (capsule point length,
Utricule length, suspensor length and capsule diameters), receptacle (base body length, base body diameter and support handle length), record measurement number
According to.
(3) Discrete point analysis of sample morphological feature
(2) measurement data is substituted into SPSS or Excel statistical analysis softwares respectively, scatterplot graph model is made, judges each change
(measurement index) pertinent trends are measured, select the numerical variable index of scatterplot Relatively centralized, carry out correlation analysis, record analysis knot
Fruit.
(4) correlation analysis of sample morphological feature
By (3) judge variable index and correspondingly (2) variable data substitution SPSS statistical analysis softwares in Pearson phases
Closing property mathematical modeling, judges coefficient correlation, judges the variable for meeting related but endless total correlation, determines whether variable meets progress
Principal component analysis mathematics model analysis, mark meet the numerical variable of number of principal components model analysis.
(5) mathematics model analysis of principal component
The principal component analysis mathematical modeling that the result of (4) is substituted into SPSS statistical analysis softwares, export analysis result, root
Judge artificial farming sargassum fusifome morphological feature numerical variable principal component according to the information such as variance contribution table and principal component covariance matrix,
Judge wild sargassum fusifome morphological feature numerical variable principal component, comparative analysis artificial farming sargassum fusifome principal component and wild sargassum fusifome
Identical variable and different variables between morphological feature principal component.
(6) the cluster mathematics model analysis of principal component
(5) are judged to the heredity in the artificial farming sargassum fusifome variable value substitution SPSS statistical analysis softwares of identical variable
Mathematical modeling, output result are drawn apart from collection of illustrative plates；By the wild sheep of identical variable dwell variable value substitute into SPSS statistical analyses it is soft
Genetic distance collection of illustrative plates in part draws mathematical modeling, output result；Variable value identical with wild sargassum fusifome will be propagated artificially again
The common genetic distance collection of illustrative plates substituted into SPSS statistical analysis softwares draws mathematical modeling, output result.
(7) strain differentiates and classification judges
Genetic distance value is substituted into by SPSS statistical analysis softwares according to the genetic distance collection of illustrative plates that (6) genetic distance collection of illustrative plates is drawn
In one-way analysis of variance mathematical modeling, carry out in group and between-group variance analysis, as a result according to " * *：Highly significant, F ＞
F0.01”、“*：Significantly, F0.05＜ F ＜ F0.01" and " (*)：General notable, F0.1＜ F ＜ F0.05" criterion, judge collecting sample
The significance of difference of morphological feature, it will meet " (*)：General notable, F0.1＜ F ＜ F0.05" to be designated as introduces a collection identical for the sample of standard
Strain or kind, " * * will be met：Highly significant, F ＞ F0.01" sample of standard is designated as the entirely different strain of introduces a collection or kind, will
Meet " *：Significantly, F0.05＜ F ＜ F0.01" the sample meter of standard is designated as provenance hybridization strain or kind.
Implement example 3：The strain of different regions difference sargassum fusifome colony maturation sporinite differentiates and classification, the present embodiment
In, different growing location sargassum fusifome geographical position differences and ecological factor difference are extremely notable.
As the 3rd implementation example of the present invention, suitable for same species, geographical feature and feature difference, affiliation
And the research such as various sex determination in kind, the strain of described sargassum fusifome maturation sporinite differentiates and sorting technique is mainly including following
Step：
(1) sargassum fusifome colony
This example experiment sample is limited to different regions artificial farming sargassum fusifome colony and wild sargassum fusifome colony.Such as：Annual 2
Month first arrival mid-April, South Sea artificial farming sargassum fusifome maturation sporinite colony and the South Sea annual mid-April to mid-June are wild
Sargassum fusifome colony；At the beginning of annual mid-April to August, East Sea artificial farming sargassum fusifome maturation sporinite colony and annual first arrival in July 8
The wild sargassum fusifome maturation sporinite colony in the middle of the month East Sea；Annual August first arrival mid-November, yellow vigorous sea artificial farming sargassum fusifome into
Ripe sporinite colony and the yellow wild sargassum fusifome maturation sporinite colony in the Bohai Sea at the beginning of mid-September to 11 months.
(2) sample is chosen and morphological feature measures
The annual mid-April of first arrival in 2 months, fixed point choose bay or the Ao mouths of the artificial cultivating sargassum fusiforme in 3~5, the South Sea, each
Bay or Ao mouths respectively randomly select artificial farming sargassum fusifome maturation sporinite sample >=30 (n >=30) it is individual, marker samples, such as：When
Between：×××；Place：×××；X1, time：×××；Place：×××；X2, time：×××；Place：×××；
X3 ... the times：×××；Place：×××；X30 (similarly hereinafter), each sample form of camera record.Vernier caliper measurement various kinds
This rhizoid (length, diameter), stem (diameter), leaf (length, width), air bag (capsule point length, utricule length, suspensor length and capsule
Body diameter), receptacle (base body length, base body width and support handle length), record measurement data.In annual mid-April to 6 months
Ten days, fixed point choose 3~5, the South Sea raw wild sargassum fusifome island or islands and reefs, each island or islands and reefs respectively randomly select wild
Sargassum fusifome maturation sporinite sample >=30 (n >=30), mark a sample.Each sample rhizoid of vernier caliper measurement (length, diameter),
Stem (diameter), leaf (length, width), air bag (capsule point length, utricule length, suspensor length and capsule diameters), receptacle (base body
Length, base body diameter and support handle length), record measurement data.
At the beginning of annual mid-April to August, fixed point chooses bay or the Ao mouths of the artificial cultivating sargassum fusiforme in 3~5, the East Sea, each
It is individual that cultivation bay or Ao mouths respectively randomly select artificial farming sargassum fusifome maturation sporinite sample >=30 (n >=30), marks sample.
Each sample rhizoid of vernier caliper measurement (length, diameter), stem (diameter), leaf (length, width), air bag (capsule point length, utricule length
Degree, suspensor length and capsule diameters), receptacle (base body length, base body diameter and support handle length), record measurement data.Annual 7
Month first arrival mid-August, fixed point choose 3~5, the East Sea raw wild sargassum fusifome island or islands and reefs, each island or islands and reefs respectively with
Machine chooses wild sargassum fusifome maturation sporinite sample >=30 (n >=30), marks a sample.Each sample rhizoid of vernier caliper measurement
(length, diameter), stem (diameter), leaf (length, width), (capsule point length, utricule length, suspensor length and utricule are straight for air bag
Footpath), receptacle (base body length, base body diameter and support handle length), record measurement data.
Annual August first arrival mid-November, fixed point choose bay or the Ao mouths of the yellow artificial cultivating sargassum fusiforme in 3~5, the Bohai Sea, often
It is individual that individual cultivation bay or Ao mouths respectively randomly select artificial farming sargassum fusifome maturation sporinite sample >=30 (n >=30), marks sample
This.Each sample rhizoid of vernier caliper measurement (length, diameter), stem (diameter), leaf (length, width), air bag (capsule point length, capsule
Body length, suspensor length and capsule diameters), receptacle (base body length, base body diameter and support handle length), record measurement data.
At the beginning of annual mid-September to 11 months, fixed point choose yellow 3~5, the Bohai Sea raw wild sargassum fusifome island or islands and reefs, each island or
Islands and reefs respectively randomly select wild sargassum fusifome maturation sporinite sample >=30 (n >=30), mark a sample.Vernier caliper measurement various kinds
This rhizoid (length, diameter), stem (diameter), leaf (length, width), air bag (capsule point length, utricule length, suspensor length and capsule
Body diameter), receptacle (base body length, base body diameter and support handle length), record measurement data.
(3) Discrete point analysis of sample morphological feature
(measurement index) pertinent trends, the numerical variable index of scatterplot Relatively centralized is selected, carry out correlation analysis, record
Analysis result.
(4) correlation analysis of sample morphological feature
By the variable index of (3) judgement and correspondingly (2) variable data substitutes into SPSS statistical analysis softwares respectively
Pearson correlation mathematical modelings, judge coefficient correlation, judge the variable for meeting related but endless total correlation, determine that variable is
No to meet progress principal component analysis mathematics model analysis, mark meets the numerical variable of number of principal components model analysis.
(5) mathematics model analysis of principal component,
The principal component analysis mathematical modeling that the result of (4) is substituted into SPSS statistical analysis softwares respectively, output analysis knot
Fruit, artificial farming sargassum fusifome morphological feature numerical variable master is judged according to the information such as variance contribution table and principal component covariance matrix
Composition, judge wild sargassum fusifome morphological feature numerical variable principal component, the same geographical artificial farming sargassum fusifome form of comparative analysis
Identical variable and different variables between feature principal component and wild sargassum fusifome morphological feature principal component；Comparative analysis difference is geographical
Propagate the identical variable of sargassum fusifome morphological feature principal component and different variables artificially；The different geographical wild sargassum fusifome shapes of comparative analysis
The identical variable and different variables of state feature principal component；The comparative analysis South Sea, the East Sea and yellow Bohai Sea artificial farming sargassum fusifome and open country
The identical variable and different variables of raw sargassum fusifome morphological feature principal component.
(6) the cluster mathematics model analysis of principal component
By (5) same geographical artificial farming sargassum fusifome morphological feature principal component and wild sargassum fusifome morphological feature principal component it
Between identical variable value substitute into SPSS statistical analysis softwares in genetic distance collection of illustrative plates draw mathematical modeling, output result；Will
The something lost that the identical variable value of different geographical artificial farming sargassum fusifome morphological feature principal components is substituted into SPSS statistical analysis softwares
Pass and draw mathematical modeling, output result apart from collection of illustrative plates；Again by the identical change of different geographical wild sargassum fusifome morphological feature principal components
The genetic distance collection of illustrative plates that amount is substituted into SPSS statistical analysis softwares draws mathematical modeling, output result；Finally, by the South Sea, the East Sea
The identical variable substitution SPSS statistical analyses for propagating sargassum fusifome and wild sargassum fusifome morphological feature principal component artificially with the yellow Bohai Sea are soft
Genetic distance collection of illustrative plates in part draws mathematical modeling.
(7) strain differentiates and classification judges
Genetic distance value is substituted into by SPSS statistical analyses according to the genetic distance collection of illustrative plates that (6) genetic distance collection of illustrative plates is drawn respectively
One-way analysis of variance mathematical modeling in software, is carried out in group and between-group variance is analyzed, as a result according to " * *：Highly significant, F
＞ F0.01”、“*：Significantly, F0.05＜ F ＜ F0.01" and " (*)：General notable, F0.1＜ F ＜ F0.05" criterion, judge collection sample
The significance of difference of this morphological feature, it will meet " (*)：General notable, F0.1＜ F ＜ F0.05" sample of standard is designated as introduces a collection phase
With strain or kind, " * * will be met：Highly significant, F ＞ F0.01" sample of standard is designated as the entirely different strain of introduces a collection or kind,
" * will be met：Significantly, F0.05＜ F ＜ F0.01" the sample meter of standard is designated as source product hybridization germline or kind.
The scientific research personnel and technical staff of art should be understood：Above-described embodiment and its merely illustrative property of discussion,
It is not intended to imply that the scope of the present disclosure (including claim) is limited to these examples.Under the operating process of the present invention, on
Stating can also be combined between the techniqueflow in embodiment or different embodiments, and it is different to there is embodiment as described above
Many flow changes, in order to it is concise they, the present invention does not provide in detail.Therefore, within the spirit and principles of the invention,
Any omission for being made, modification, equivalent substitution, the methods of improving and the classification of derivative strain, strain attributional analysis, breeding are sieved
Choosing, breeding purifying and breeding name etc., are all contained within protection scope of the present invention.
Claims (7)
1. a kind of strain of sargassum fusifome differentiates and sorting technique, it is characterised in that：Comprise the following steps：
A. sample is chosen, and specifies sargassum fusifome life history characteristics, understands generative propagation Life Stages and vegetative propagation history of life rank
The growth and development feature of section, the test sample that more plants of sargassum fusifome maturation sporinites differentiate and classified for strain is randomly selected, extremely
Temporarily supported in nature seawater；
B. the measurement of sample morphological feature, each sample is marked respectively, by morphological locus, measure each strain sargassum fusifome rhizoid and stem
Length and diameter；Record side life branch quantity, air bag, stem and the receptacle shape of measurement side life branch morphology upper, middle and lower
State characteristic value；Capsule point length, utricule length, suspensor length and the utricule maximum gauge of fasciation feature air vesicle, stem diameter, reproduction
The characteristic values such as base body length, base body maximum gauge and the support handle length of support, record measured value, sample duplicate measurements is several times；
C. the Discrete point analysis of sample morphological feature, by statistical analysis software, by each sample morphometry numerical value generation in step b
Enter scatter diagram mathematical modeling, make scatterplot graph model, tentatively judge to whether there is pertinent trends between each variable, select scatterplot phase
To the numerical variable index of concentration, correlation analysis, record analysis result are carried out；
D. the correlation analysis of sample morphological feature, by the variable data in the variable index judged in step c and corresponding b step
The Pearson correlation mathematical modelings substituted into SPSS statistical analysis softwares, judging coefficient correlation, judgement meets correlation, but not
Perfectly correlated variable, determine whether variable meets and carry out principal component analysis mathematics model analysis, mark meets number of principal components
The numerical variable of model analysis；
E. the mathematics model analysis of principal component, the principal component analysis number that the result of Step d is substituted into SPSS statistical analysis softwares
Model is learned, exports analysis result, sargassum fusifome morphological feature is judged according to variance contribution table and principal component covariance matrix table information
Numerical variable principal component is fasciation feature air vesicle and stem diameter；
F. the cluster mathematics model analysis of principal component, judges according to step e, the sargassum fusifome fasciation feature air that b step is measured
Scrotiform state characteristic value and stem diameter numerical value, SPSS software Q- type Clustering Models are substituted into respectively, obtain each sample characteristics air vesicle
Cluster analysis collection of illustrative plates and stem diameter cluster analysis collection of illustrative plates；
G. strain differentiates and classification judges, genetic distance value is substituted into SPSS statistics according to the genetic distance collection of illustrative plates that step f is drawn
One-way analysis of variance mathematical modeling in analysis software, intra-class variance analysis is carried out, judge the difference of collecting sample morphological feature
Different conspicuousness.
2. a kind of strain of sargassum fusifome according to claim 1 differentiates and sorting technique, it is characterised in that：In step c, root
According to two-sided test standard, Pearson correlation coefficient is exported, carries out correlation test, i.e.,：" " is uncorrelated between variable, and " * " is
0.05 is horizontal related, and " * * " are 0.01 horizontal related；According to coefficient correlation | r | size by degree of correlation make to distinguish as follows,
I.e.：| r | >=0.8, height correlation between two variables；0.5≤| r | ＜ 0.8, two variable moderates are related；0.3≤| r | ＜ 0.5, two become
Measure lower correlation；| r | ＜ 0.3, two variable degrees of correlation are extremely weak.
3. a kind of strain of sargassum fusifome according to claim 2 differentiates and sorting technique, it is characterised in that：In step e, 0
＜ | r | ＜ 1 numerical value scalar, the principal component analysis mathematical modeling of SPSS statistical analysis softwares is substituted into, choose simultaneously output variable phase
Relation number (Correlations), variable spend (Communalities), variance contribution table (Total Variance jointly
Expiained), Factor load-matrix (Componet Matrixa), principal component scores coefficient matrix (Component Score
Coefficient Matrix) and the letter such as principal component covariance matrix (Component Score Covariance Matrix)
Breath；The principal component for extracting (Extraction) value judgement extraction is spent in (Communalities) jointly according to variable to each change
The explanation degree of amount, i.e.,：X ＞ 0.85, show that explanation degree of the principal component to each variable is high, X ＜ 0.5, illustrate extraction
Principal component comprising secondary variable information, need to not increase principal component；According to variance contribution table initial characteristic values (Initial
Eigenvalues add up variance contribution ratio (Cumulative%) in) to judge to reach to explain total variable 70%~90% jointly
Principal component number；Rubble figure (Scree polt) and other lists are aided in, it is final to determine principal component number and principal component title.
4. a kind of strain of sargassum fusifome according to claim 1 differentiates and sorting technique, it is characterised in that：In g steps, knot
Fruit is according to " * *：Highly significant, F ＞ F0.01”、“*：Significantly, F0.05＜ F ＜ F0.01" and " (*)：General notable, F0.1＜ F ＜
F0.05" criterion, judge the significance of difference of collecting sample morphological feature, will meet " (*)：General notable, F0.1＜ F ＜
F0.05" sample of standard is classified as identical strain or kind, " * * will be met：Highly significant, F ＞ F0.01" sample of standard has been classified as
Complete different strain or kind, will meet " *：Significantly, F0.05＜ F ＜ F0.01" sample of standard is classified as crosses or kind.
5. a kind of strain of sargassum fusifome according to claim 1 differentiates and sorting technique, it is characterised in that：The sargassum fusifome
Ripe sporinite meets tool rhizoid, stem, leaf, air bag and the complete plant of receptacle feature claimed below.
6. a kind of strain of sargassum fusifome according to claim 1 differentiates and sorting technique, it is characterised in that in b step
The measurement of sample morphological feature has to comply with the same character requirement of same organism.
7. a kind of strain of sargassum fusifome according to claim 1 differentiates and sorting technique, it is characterised in that：Sargassum fusifome is lived
The selection of history stage, the morphological feature measurement of sample, correlation analysis, scatter diagram drafting, principal component analysis, genetic distance collection of illustrative plates are painted
System and one-way analysis of variance, it is necessary to meet the condition requirement of sargassum fusifome organ maturation feature and mathematical modeling in itself.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511004442.4A CN105653895B (en) | 2015-12-21 | 2015-12-21 | A kind of strain of sargassum fusifome differentiates and sorting technique |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511004442.4A CN105653895B (en) | 2015-12-21 | 2015-12-21 | A kind of strain of sargassum fusifome differentiates and sorting technique |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105653895A CN105653895A (en) | 2016-06-08 |
| CN105653895B true CN105653895B (en) | 2018-01-09 |
Family
ID=56477035
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201511004442.4A Active CN105653895B (en) | 2015-12-21 | 2015-12-21 | A kind of strain of sargassum fusifome differentiates and sorting technique |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105653895B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107067016B (en) * | 2016-11-10 | 2020-03-17 | 浙江农林大学 | Loquat endophyte classification method based on leaf color |
| CN106841197B (en) * | 2016-12-27 | 2019-03-26 | 黑龙江省科学院大庆分院 | The Method of Morphological Observation that otherness compares between a kind of Hemp Varieties |
| CN109859800B (en) * | 2019-01-31 | 2021-07-20 | 中国林业科学研究院林业研究所 | Method for measuring species uniformity |
| CN110751233B (en) * | 2019-11-07 | 2022-05-24 | 温州市洞头区水产科学技术研究所 | Quality grade classification method for primary products of cultivated sargassum fusiforme |
| CN110852647B (en) * | 2019-11-09 | 2024-04-09 | 温州大学 | Quality grade classification method for airbag outlet products of cultured sargassum fusiforme |
| CN112806251B (en) * | 2021-02-26 | 2022-09-23 | 温州市洞头区海洋与渔业发展研究中心 | Unit mass evaluation and difference comparison method for cultivating juvenile sporophytes of sargassum fusiforme |
| CN113033066A (en) * | 2021-04-07 | 2021-06-25 | 温州大学 | Method for establishing near infrared spectrum identification model of sargassum fusiforme production area, strain and cultivation mode and identification method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6212824B1 (en) * | 1991-10-18 | 2001-04-10 | Dekalb Genetics Corporation | Methods for classifying plants for evaluation and breeding programs by use of remote sensing and image analysis technology |
| US7142988B1 (en) * | 1999-09-07 | 2006-11-28 | Monsanto Company | Method and information system for non-random selection of uniform structural and functional features for tissue and plant product processing |
| CN101617227A (en) * | 2006-11-30 | 2009-12-30 | 纳维哲尼克斯公司 | Genetic analysis systems and method |
| CN101760451A (en) * | 2008-12-23 | 2010-06-30 | 中国科学院海洋研究所 | Preservation method of fertilized eggs and embryos of sargassum fusiforme |
| CN102915408A (en) * | 2012-09-16 | 2013-02-06 | 浙江大学 | Method for improving sampling ratio precision of core germplasm of crops |
| CN103870528A (en) * | 2012-12-17 | 2014-06-18 | 国际商业机器公司 | Method and system for question classification and feature mapping in deep question answering system |
-
2015
- 2015-12-21 CN CN201511004442.4A patent/CN105653895B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6212824B1 (en) * | 1991-10-18 | 2001-04-10 | Dekalb Genetics Corporation | Methods for classifying plants for evaluation and breeding programs by use of remote sensing and image analysis technology |
| US7142988B1 (en) * | 1999-09-07 | 2006-11-28 | Monsanto Company | Method and information system for non-random selection of uniform structural and functional features for tissue and plant product processing |
| CN101617227A (en) * | 2006-11-30 | 2009-12-30 | 纳维哲尼克斯公司 | Genetic analysis systems and method |
| CN101760451A (en) * | 2008-12-23 | 2010-06-30 | 中国科学院海洋研究所 | Preservation method of fertilized eggs and embryos of sargassum fusiforme |
| CN102915408A (en) * | 2012-09-16 | 2013-02-06 | 浙江大学 | Method for improving sampling ratio precision of core germplasm of crops |
| CN103870528A (en) * | 2012-12-17 | 2014-06-18 | 国际商业机器公司 | Method and system for question classification and feature mapping in deep question answering system |
Non-Patent Citations (2)
| Title |
|---|
| new insights on the classification of the sargassum Subgenus sargassum from a three-dna markers phylogeny and morphological analyses;L Mattio，et al;《Remote Sensing of Environment》;20091231;第219-235页 * |
| 羊栖菜繁殖与发育生物学的初步研究;阮积惠，等;《浙江大学学报（理学版）》;20010331;第315-320页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105653895A (en) | 2016-06-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105653895B (en) | A kind of strain of sargassum fusifome differentiates and sorting technique | |
| Gaudin et al. | Novel temporal, fine‐scale and growth variation phenotypes in roots of adult‐stage maize (Zea mays L.) in response to low nitrogen stress | |
| Burton et al. | Fecundity and offspring ploidy in matings among diploid, triploid and tetraploid Chamerion angustifolium (Onagraceae): consequences for tetraploid establishment | |
| Ruprecht et al. | Are plasticity in functional traits and constancy in performance traits linked with invasiveness? An experimental test comparing invasive and naturalized plant species | |
| Cai et al. | Induction, regeneration and characterization of tetraploids and variants in ‘Tapestry’caladium | |
| Song et al. | Quantitative classification of the morphological traits of ray florets in large-flowered Chrysanthemum | |
| Hannweg et al. | In vitro-induced tetraploids of Plectranthus esculentus are nematode-tolerant and have enhanced nutritional value | |
| Zhou et al. | Modelling seedling development using thermal effectiveness and photosynthetically active radiation | |
| CN108575733A (en) | A kind of breeding method of the glutinous recessive gene corn inbred line new lines of sweet tea | |
| Balkaya | The morphological diversity and fruit characterization of Turkish eggplant (Solanum melongena L.) populations | |
| Wang et al. | Artificial selection trend of wheat varieties released in huang-huai-hai region in china evaluated using dus testing characteristics | |
| CN108967187A (en) | A kind of rice chalky grain rate high temperature insensitiveness germplasm selection | |
| Al Lawati et al. | Multivariate analyses of indigenous bread wheat (Triticum aestivum L.) landraces of Oman | |
| Chen et al. | Diversity analysis of agronomic and nutritional traits of hybrid offspring of forage bermudagrass | |
| Xia et al. | Dynamic changes in the genetic parameters of growth traits with age and their associations with heterosis in hybrid Liriodendron | |
| Ferreira et al. | Flowering map of papaya germplasm: Support for genetic breeding and conservation programs | |
| Conceicão et al. | New protocol for rapid cassava multiplication in field conditions: a perspective on speed breeding | |
| Stenger et al. | Complex Plant Process Trait Evaluation Through Decomposition of Higher-order Interaction: A Case Study in Acclimation Responses of Cold-climate Hybrid Grapevine Through Bilinear and Multiway Methods | |
| Moot | Harvest index variability within and between field pea (Pisum sativum L.) crops | |
| Kang et al. | Building virtual chrysanthemum based on sink-source relationships: Preliminary results | |
| Ekanayake et al. | Varietal classification of new coconut (Cocos nucifera L.) forms identified from Southern Sri Lanka | |
| Feng et al. | Ploidy identification by flow cytometry and application of the method to characterize seasonal ploidy variation of wild populations of the red alga Gracilariopsis lemaneiformis | |
| Fan et al. | Development status and research prospect of mustard vegetables industry | |
| CN103404429B (en) | A kind of selection of the wide suitable peanut varieties of the high oil of high yield | |
| Palanisamy et al. | Simulating yields and ranking of rice genotypes in multi-location trials |
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 | ||
| CP03 | Change of name, title or address |
Address after: No. 1, Lane 73, Chezhan Road, Bei'ao Street, Dongtou District, Wenzhou City, Zhejiang Province, 325700 Patentee after: Marine and fishery development research center of Dongtou District, Wenzhou City Patentee after: Wenzhou University Address before: No. 12 Xianqian Road, Beiao Town, Dongtou District, Wenzhou City, Zhejiang Province, 325700 Patentee before: WENZHOU DONGTOU DISTRICT AQUATIC PRODUCT SCIENCE AND TECHNOLOGY INSTITUTE Patentee before: Wenzhou University |
|
| CP03 | Change of name, title or address |