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
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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.
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| 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 |
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