CN102301975A - Data processing method based on carp complete diallel cross - Google Patents
Data processing method based on carp complete diallel cross Download PDFInfo
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- CN102301975A CN102301975A CN201110285312A CN201110285312A CN102301975A CN 102301975 A CN102301975 A CN 102301975A CN 201110285312 A CN201110285312 A CN 201110285312A CN 201110285312 A CN201110285312 A CN 201110285312A CN 102301975 A CN102301975 A CN 102301975A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/80—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
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Abstract
The invention relates to a data processing method based on carp complete diallel cross. The method comprises the following steps: selecting at least three carp varieties to perform at least 3*3 complete diallel cross so as to obtain fish cross F1 generation target trait phenotypic value; according to the obtained fish cross F1 generation target trait phenotypic value information, performing the processing of general combining ability and special combining ability data to obtain an optimum combination and an optimum variety; comparing the different composite cross production performance prediction models to provide an optimum mode of composite cross breeding; and according to an analysis method of covariance component, determining an optimum covariance component of a BLUP (best linear unbiased prediction) breeding model. The method can determine the optimum combination of the F1 generation, and determine and sequence influence factors influencing breeding weight from different aspects, and can provide the optimum covariance component for the next BLUP breeding model, and provide the optimum mode standard for the composite cross so as to process the system data of the complete diallel cross.
Description
Technical field
The present invention relates to the fish breeding technical field, be specifically related to a kind of processing method of data based on the complete diallel cross of carp.
Background technology
In the prior art, hybrid vigour is the ubiquitous phenomenon of biosphere, and it is also more and more general to utilize hybrid vigour to be applied to the method for breeding and even production.General hybrid vigour mainly is to carry out through the method for hybridization, such as diallel cross.After hybridization, carry out parent's pure breeding and first-filial generation through statistical method, so that parent's variance analysis, Analysis of Combining Ability, heterosis rate analysis etc., thus carry out selfing, backcross etc. and to carry out breeding.But can pass through the higher hybrid vigour of multiple cross utilization, thereby instruct breeding and production to become requisite link through the processing that the heterotic characteristicness of economic characters different phase carries out data to first-filial generation.
Summary of the invention
The purpose of this invention is to provide a kind of processing method of data, to overcome the above-mentioned deficiency that present prior art exists based on the complete diallel cross of carp.
The objective of the invention is to realize through following technical scheme:
A kind of processing method of data based on the complete diallel cross of carp may further comprise the steps:
1) chooses at least three carp kinds; At least be 3 * 3 complete diallel cross; Obtain the phenotypic value of fish hybridization F1 for the target economic characters; And carry out Heterosis Analysis; The breeding and the productive value of the processing first-filial generation of data; Phenotypic value is a quantitative character, with the body weight value as the objective trait phenotypic value;
2) according to the fish hybridization generation objective trait phenotypic value information that obtains; Carry out general combining ability and specific combining ability analysis through GCA, SCA forecast model and neural network prediction, the model of middle close hybrid vigour foundation, the type of hybrid combination; Obtain best of breed and best kind, the data that Preliminary Exploitation is handled;
3) carry out 3 kinds of multiple cross predictions, cross gray model and stepwise regression method, body weight has been carried out grey relational grade analysis, thereby obtained the processing of further data;
4) carry out sex and section differentiation and grey relational grade analysis according to the characteristics of first-filial generation different phase economic characters, complete diallel cross F1 is done the covariance component analysis, judgement is made in the choice and the application of first-filial generation various combination;
5) data of first-filial generation are carried out the comparative analysis of covariance component according to the index that influences the target economic characters; And the family selective breeding of first-filial generation is made data according to its analysis result; In conjunction with above 4 step results; Confirm the best covariance component of BLUP breeding model, for breeding and production provide benchmark.
Beneficial effect of the present invention is:
1, can make breeding to first-filial generation from 5 angles judges: the analysis of the prediction effect comparison from traditional statistical analysis, combining ability test to compound breeding Forecasting Methodology, characteristics, grey relational grade analysis and the covariance component of different phase economic characters is done breeding to first-filial generation and is handled.
2, the present invention can provide based on the multiple cross of complete diallel cross and the benchmark of family selective breeding.
Embodiment
The described a kind of processing method of data based on the complete diallel cross of carp of the embodiment of the invention may further comprise the steps:
1) chooses at least three carp kinds; At least be 3 * 3 complete diallel cross; Obtain the phenotypic value of fish hybridization F1 for the target economic characters; And carry out Heterosis Analysis; The breeding and the productive value of the processing first-filial generation of data; Phenotypic value is a quantitative character, with the body weight value as the objective trait phenotypic value;
2) according to the fish hybridization generation objective trait phenotypic value information that obtains; Carry out general combining ability and specific combining ability analysis through GCA, SCA forecast model and neural network prediction, the model of middle close hybrid vigour foundation, the type of hybrid combination; Obtain best of breed and best kind, the data that Preliminary Exploitation is handled;
3) carry out 3 kinds of multiple cross predictions, cross gray model and stepwise regression method, body weight has been carried out grey relational grade analysis, thereby obtained the processing of further data;
4) carry out sex and section differentiation and grey relational grade analysis according to the characteristics of first-filial generation different phase economic characters, complete diallel cross F1 is done the covariance component analysis, judgement is made in the choice and the application of first-filial generation various combination;
5) data of first-filial generation are carried out the comparative analysis of covariance component according to the index that influences the target economic characters; And the family selective breeding of first-filial generation is made data according to its analysis result; In conjunction with above 4 step results; Confirm the best covariance component of BLUP breeding model, for breeding and production provide benchmark.
Concrete, choose the wild carp in jian carp, the Yellow River carp and Heilungkiang totally three carp kinds, through taking pains to foster; Carry out seed selection and plant with the guarantor, carry out complete diallel cross test, common property is given birth to 9 combinations; Wherein hybrid combination has Hj, Hy, Jh; Jy; 6 of Yh and Yj, each makes up 250 tails, pedigree breeding combination Jj; Hh and Yy be totally 3 combinations, and each makes up 50 tails.Wherein J and j represent jian carp, and H and h represent the Yellow River carp, and Y and y represent the wild carp in Heilungkiang, and capitalization is represented male parent, and lowercase is represented maternal.As the objective trait phenotypic value, the body weight of all combinations of diallel cross value is as shown in the table fully with the body weight value for embodiment:
The body weight value of the first familiar generation of all combinations of three kinds of complete diallel crosses of carp
| Hybrid combination | Male parent body weight value (SP) | Maternal body weight value (DP) | Hybridize 1 generation body weight value (F1) | Analysis of Combining Ability |
| Jj | 302.2±97.05 | 302.2±97.05 | 302.2±97.05 | -22.48** |
| Hj | 237.76±89.6 | 302.2±97.05 | 310.12±78.44 | 16.86** |
| Yj | 236.78±62.86 | 302.2±97.05 | 297.36±70.13 | 5.53 |
| Jh | 302.2±97.05 | 237.76±89.6 | 312.01±79 | 16.86** |
| Hh | 237.76±89.6 | 237.76±89.6 | 237.76±89.6 | -26.00** |
| Yh | 236.78±62.86 | 237.76±89.6 | 271.08±75.27 | 9.23 |
| Jy | 302.2±97.05 | 236.78±62.86 | 289.8±103.64 | 5.62 |
| Hy | 237.76±89.6 | 236.78±62.86 | 262.74±102.2 | 9.13 |
| Yy | 236.78±62.86 | 236.78±62.86 | 236.78±62.86 | -14.75** |
Wherein " *, * * " representes P < 0.05 and P < two levels of 0.01 respectively.
Carry out the prediction of multiple cross productivity, through GCA, the SCA forecast model finds that the combination of prediction body weight peak is Jhj.Find through neural network prediction: combination Yhj and Hyj have obtained maximum body weight predicted value.Model through middle close hybrid vigour is set up is predicted body weight, has found 13 multiple cross combinations preferably, verifies best of breed and the optimum kind of complete diallel cross F1 once more through the type of hybrid combination.
Through gray model and stepwise regression method; Body weight has been carried out grey relational grade analysis; Obtain body weight and body is long, body is thick, height, mark body weight, marked body are thick, the incidence coefficient and the degree of association of mark height; In 9 combinations; Secondly the degree of association maximum that body weight and body are long is that marked body is long, height; Body is thick, and is as shown in the table:
The standardized partial regression coefficient of the degree of association of body weight and all the other each proterties, ordering and multiple stepwise regression gained
In order to improve the accuracy that breeding value is estimated; Complete diallel cross F1 is done the covariance component analysis; The result finds different covariance components; The situation of change of least-squares estimation value is different between each combination that obtains; And the body of alerting when carrying out the PIT mark corresponding with body weight is long, as shown in the table:
The least-squares estimation value of 17 months body weight behind following 9 composite markings of different covariance component conditions
Comprehensive above step; Diallel cross F1 can confirm best of breed and optimum kind through the combining ability test of classics fully; The benchmark of compound breeding can be provided through the comparison of different composite hybridization Forecasting Methodology; And definite best of breed that can be indirect; Method through gray system and progressively recurrence can be confirmed the impact effect of different times growth traits to the seed selection body weight; Through the analysis of covariance component, confirm suitable covariance component in the time of can confirming to carry out the BLUP breeding, thereby improve the seed selection effect.
The present invention is not limited to above-mentioned preferred forms; Anyone can draw other various forms of products under enlightenment of the present invention; No matter but on its shape or structure, do any variation; Every have identical with a application or akin technical scheme, all drops within protection scope of the present invention.
Claims (1)
1. the processing method of data based on the complete diallel cross of carp is characterized in that, may further comprise the steps:
1) chooses at least three carp kinds; At least be 3 * 3 complete diallel cross; Obtain the phenotypic value of fish hybridization F1 for the target economic characters; And carry out Heterosis Analysis; The breeding and the productive value of the processing first-filial generation of data; Phenotypic value is a quantitative character, with the body weight value as the objective trait phenotypic value;
2) according to the fish hybridization generation objective trait phenotypic value information that obtains; Carry out general combining ability and specific combining ability analysis through GCA, SCA forecast model and neural network prediction, the model of middle close hybrid vigour foundation, the type of hybrid combination; Obtain best of breed and best kind, the data that Preliminary Exploitation is handled;
3) carry out 3 kinds of multiple cross predictions, cross gray model and stepwise regression method, body weight has been carried out grey relational grade analysis, thereby obtained the processing of further data;
4) carry out sex and section differentiation and grey relational grade analysis according to the characteristics of first-filial generation different phase economic characters, complete diallel cross F1 is done the covariance component analysis, judgement is made in the choice and the application of first-filial generation various combination;
5) data of first-filial generation are carried out the comparative analysis of covariance component according to the index that influences the target economic characters; And the family selective breeding of first-filial generation is made data according to its analysis result; In conjunction with above 4 step results; Confirm the best covariance component of BLUP breeding model, for breeding and production provide benchmark.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103141413A (en) * | 2012-12-10 | 2013-06-12 | 中国水产科学研究院淡水渔业研究中心 | Hybridizing method having marker site and being capable of remarkably improving weight of carp |
| CN105145434A (en) * | 2015-09-12 | 2015-12-16 | 上海海洋大学 | Screening and combining method for megalobrama amblycephala advantage combining |
| CN110892879A (en) * | 2019-12-05 | 2020-03-20 | 刘宝祥 | Binary hybridization cultivation method and training method and equipment |
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2011
- 2011-09-23 CN CN201110285312A patent/CN102301975A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103141413A (en) * | 2012-12-10 | 2013-06-12 | 中国水产科学研究院淡水渔业研究中心 | Hybridizing method having marker site and being capable of remarkably improving weight of carp |
| CN105145434A (en) * | 2015-09-12 | 2015-12-16 | 上海海洋大学 | Screening and combining method for megalobrama amblycephala advantage combining |
| CN110892879A (en) * | 2019-12-05 | 2020-03-20 | 刘宝祥 | Binary hybridization cultivation method and training method and equipment |
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Application publication date: 20120104 |