CN104017865A - Efficient goat breeding method based on meat properties - Google Patents
Efficient goat breeding method based on meat properties Download PDFInfo
- Publication number
- CN104017865A CN104017865A CN201410211282.XA CN201410211282A CN104017865A CN 104017865 A CN104017865 A CN 104017865A CN 201410211282 A CN201410211282 A CN 201410211282A CN 104017865 A CN104017865 A CN 104017865A
- Authority
- CN
- China
- Prior art keywords
- goat
- selection
- family
- body weight
- primer
- 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.)
- Pending
Links
Classifications
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6888—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/124—Animal traits, i.e. production traits, including athletic performance or the like
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/156—Polymorphic or mutational markers
Landscapes
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Organic Chemistry (AREA)
- Zoology (AREA)
- Wood Science & Technology (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Microbiology (AREA)
- Immunology (AREA)
- Molecular Biology (AREA)
- Biotechnology (AREA)
- Biophysics (AREA)
- Physics & Mathematics (AREA)
- Biochemistry (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Genetics & Genomics (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention relates to the technical field of breeding of livestock and poultry, and especially relates to an efficient goat breeding method based on meat properties. The method comprises the following steps: determination on body weight, DNA sample acquisition, primer synthesis, template PCR amplification of a primer, genotype determination and genotyping, sequencing verification on individual PCR products with different genotypes, individual MBLUP heredity assessment, matching and establishing of a family, formation of a core colony through colony continuous-progeny selection, and manual dispersion of excellent genes. By determining body weight and detecting molecular marker genotype, MBLUP technology is employed for evaluating breeding value of breeding goats so as to perform selection, body-weight determination and genotype detection are performed on selected progeny according to a designed selection target, and the MBLUP method is used to perform colony continuous-progeny selection, so that finally a new variety of north Guizhou Ma goat for meat is formed. By taking selection of north Guizhou Ma goat as an example, the body weight of rams and ewes in a selected north Guizhou Ma goat core colony for meat is improved by 14.12 Kg and 9.61 Kg compared with a basic colony.
Description
Technical field
The present invention relates to herding breeding technical field, rapidly and efficiently selection of especially a kind of goat Meat Traits.
Background technology
BLUP BLUP, is a kind of estimation of breeding value method growing up the middle and later periods eighties 20th century, has become universally recognized, the advanced genetic evaluation method of Chinese scholars at present; In prior art, generally BLUP is estimated to the method for breeding value applies to the breeding of beasts, birds and aquatic products kind, the report that is applicable to aquatic products kind for the method includes journal article document, also contain and have 5 of patent documentations, and in these a large amount of documents, having introduced BLUP estimation of breeding value method has significantly a little than other estimation of breeding value methods: its seed selection is for breeding value instead of phenotype, peeled off environmental effect, thereby efficiency of selection is higher; By design mating strategy, effectively control inbreeding technical barrier, effectively control germ plasm resource, thereby ensured breeding enterprise and the producer's interests.
Mark is assisted BLUP (MBLUP) breeding technique, is utilized in aquatic products kind, and is not also applied among Mammals; Goat is as the one in Mammals, and Ye Shi China Genetic Resources of Domestic Animal important component part has adaptable, crude feed tolerance, an advantage such as breeding potential is high, meat production is good, smell of mutton is light, meat is tasty; But Goats Breeds still has the technical barrier that the speed of growth is slow, economic benefit is not high, and meanwhile, a Goats Breeds Conservation is the work of a chronicity, its economic insufficiency, resource disperse to make Goats Breeds not break away from the destiny that hereditary quality is constantly degenerated.
Therefore, how Local Goat Breeds is carried out to rapidly and efficiently seed selection, improve rapidly production performance, fully realize protection and the utilization to Local Excellent goat genetic resources, become the problem that numerous those skilled in the art need to solve.
Summary of the invention
In order to solve the above-mentioned technical problem existing in prior art, the invention provides one
Specifically be achieved by the following technical programs:
Rapidly and efficiently selection of a kind of goat Meat Traits, comprises the following steps:
(1) Performance Detection: mainly the body weight of goat is measured; When mensuration, record body weight, sex, age, the ear label of every goat, and collect the pedigree data of goat; When described body weight determination, sheep fasting 16～24h, prohibits the weight that claims to survey on an empty stomach goat after drink 2h, and unit is kg;
(2) DNA sample gathers: gather according to a conventional method blood sample or the ear tissue sample of every goat, and extract sample DNA, the DNA sample of every goat is corresponding one by one with its ear label;
(3) marker gene primer is synthetic: by synthetic DNA sample growth independent factor 1B gene 340bp G/A of place specific primer sudden change and SNP site goat body weight significant correlation that comprises;
(4) template pcr amplification primer: by 2 × Taq PCR MasterMix, ddH
2o, primer, template DNA mixing are built into PCR reaction system, and wherein 2 × Taq PCR MasterMix is 5 μ L, ddH
2o is that 3.4 μ L, primer are that 0.8 μ L, template DNA are 0.8 μ L; After mixing, carry out pcr amplification, obtain amplified production;
(5) genotype is judged and somatotype: amplified production at 99 DEG C after sex change 5min, is placed on 10% polyacrylamide gel and carries out electrophoresis, after electrophoresis, carry out cma staining and take pictures, and directly judge idiotype according to electrophoresis result;
(6) sequence verification of the individual PCR product of different genotype: to individual each 5 the 50 μ L amplification systems of different genotype, detect through sepharose, have after object band, carry out isogeneity order-checking; Record each individual genotype, all corresponding one by one with body weight, DNA sample, individual ear label;
(7) individual MBLUP genetic evaluation: include each individual system spectrum, age, sex, genotype and body weight information in mark auxiliary BLUP (MBLUP) model and estimate each individual breeding value, its model is as follows:
y＝Zu+Qν+e
Wherein: y is measured body weight value vector; U is breeding value random vector, and its average is 0, and variance-covariance matrix is
ν is fixed member marker effect vector, and e is error vector, and its average is 0, and variance-covariance matrix is
Z, Q are corresponding incidence matrix;
Mathematical expection and the variance of random vector u and error vector e are defined as:
A is the coefficient of relationship matrix of all individualities,
for individual breeding value variance;
(8) family is set up in goat apolegamy: taking ram as unit, (each family ram breeding value can not be lower than ewe breeding value as family foundation individuality to choose the nearer goat of breeding value, between male and female sheep, should avoid inbreeding, nothing close relation altogether in male and female sheep three generations), each family ewe >=15, at least set up 30 familys;
(9) seed selection of Goat Population in Yangtse subculture forms core population: according to rapidly and efficiently breeding goal of goat Meat Traits, in step 8) family offspring in carry out performance test and genotype detection, carry out colony's subculture seed selection with BLUP method, repeating step 1-8) after >=bis-generations, can obtain Goral mutton core population;
(10) excellent genes manually spreads: in core population, ewe is directly delivered to goat conservation district and goes to do kind of a sheep; Ram adopts test-tube mode, carries out goat expansion numerous in Goat Population in Yangtse, and final seed selection forms Goral mutton new lines.
By above program, can reach the object to the rapidly and efficiently seed selection of goat Meat Traits.
Preferably, described step 1) in, when body weight detects, a sheep fasting 20h.
Further, described step 4) in, what template pcr amplification primer adopted is hybrid system, specifically first primer, 2 × Taq PCR MasterMix, ddH
2o mixes rear packing, adds template DNA to carry out, after centrifugal 5s, proceeding to pcr amplification program; Described pcr amplification program is at 94 DEG C after denaturation 5min, proceeds to amplification program before the extension of 35 circulations, after 35 circulations complete, at 72 DEG C of downward-extension 10min, can obtain amplified production.
Further, amplification program before the extension of 35 described circulations, one of them circulation is: at 94 DEG C after sex change 30s, proceed to the 30s that anneals at 50.7 DEG C, then at 72 DEG C of downward-extension 30s.
Further, described primer is two kinds, and its sequence is respectively:
F-CCTGGACAGGACTCATCAAACT；
R-GCAAATAGGGGAGGATTTCTCT; Wherein, in template pcr amplification system, upstream and downstream primer respectively accounts for 0.4 μ L.
Preferably, described goat apolegamy is set up in family step, each family ram breeding value >=ewe breeding value, nothing close relation altogether in male and female sheep three generations.
Further, described family is not less than 40, ewe >=20 of each family.
Further, described family is not less than 60, ewe >=25 of each family.
Further, described subculture seed selection, repeating step 1-8) >=tri-generations.
Further, described subculture seed selection, repeating step 1-8) >=tetra-generations.
The growth independent factor 1B gene 340bp G/A of place that suddenly change with SNP site goat body weight significant correlation, remarkable relation is between the two referring to Cai HF, Chen Z, Luo W X.Associations between polymorphisms of the GFI1B gene and growth traits of indigenous Chinese goats[J] .Genetics and molecular research:GMR, 2013,13 (1): 872-880.
2 × Taq PCR MasterMix is biological enzyme in DNA profiling pcr amplification primer process.
Primer concentration is 10pmol/ μ L; Template DNA concentration is 50ng/m.
In addition, in the time carrying out template DNA primer PCR amplification program, i.e. primer, enzyme, ddH
2the umber of O is all more a little than amplification amount, mixes rear packing, and add DNA profiling in the mixture of each packing after after centrifugal treating certain hour, just enters pcr amplification program.
The auxiliary BLUP method of calculation of mark are: for model, the variance component priori value that input needs separately, utilizes MTDFREML computed in software to obtain, and calculates estimation variance component according to REML algorithm iteration; Choosing of variance component initial value is according to phenotypic variance, and according to day time be that animal model analysis one literary composition estimated of Chinese prawn body weight breeding value and the data document of other relevant breeding value method of calculation are analyzed at marine fishery research periodical 29 volumes the 3rd phase exercise question in 2008, convergence is that the variance of twice iteration gained estimated value is less than 10
-13; By ensureing that being obtained breeding estimated value is overall maximum estimated value, utilize different initial values repeatedly to estimate to calculate, the relatively functional value after convergence, get the once result of wherein maximum functional value as genetic parameter estimated value, utilization reaches the variance component of convergence, solving model variance, obtain the individual breeding value of goat, and according to the similarity of individual breeding value and phase recency, carrying out the coupling cross-breeding of goat male and female sheep, is the mean value of the breeding value of all individualities of family for family breeding value.
Compared with prior art, the present invention has following technique effect:
1. the core population Guizhou Province numb sheep goat in north that present method obtains and the body weight of ewe improve respectively 14.12kg, 9.61kg than the body weight of the ram of basic population, ewe respectively.
2. by the estimation of breeding value, guarantee that goat genetic resources can, by the mating of controllability, shorten the breeding cycle of goat, has improved preservation and the protective capability of goat genetic resources.
3. manually spread by gene, make the rapid diffusion of the outstanding gene of goat in colony, outstanding Goat Population in Yangtse expands rapidly, reduces goat raiser's aquaculture cost, has promoted goat cultivation, and goat germ plasm resource is farthest protected.
4. the present invention can provide the benchmark of individual seed selection and family selective breeding, and the genetic resources that accurately location needs protection, makes goat genetic resources to be saved and to protect fully, accurately.
5. the present invention, by the calculating of breeding value and appropriate assembly, has avoided the inbreeding of goat.
6. the present invention adopts MBLUP technology, by including traditional BLUP model in the genetic marker of objective trait significant correlation, has further improved accuracy and the reliability of goat seed selection.
Brief description of the drawings
Fig. 1 is that goat Meat Traits of the present invention is rapidly and efficiently in the genotype decision process of selection, to GFI1B gene SNP site (340bpG/A) electrophorogram.
Fig. 2 is goat Meat Traits of the present invention GFI1B gene SNP site (340bpG/A) sequencer map that rapidly and efficiently genotype of selection is CC.
Fig. 3 is goat Meat Traits of the present invention GFI1B gene SNP site (340bpG/A) sequencer map that rapidly and efficiently genotype of selection is DD.
Fig. 4 is goat Meat Traits of the present invention GFI1B gene SNP site (340bpG/A) sequencer map that rapidly and efficiently genotype of selection is CD.
Fig. 5 is the rapidly and efficiently process flow sheet of selection of goat Meat Traits of the present invention.
Embodiment
Below in conjunction with accompanying drawing and concrete embodiment, technical scheme of the present invention is done to further restriction, but claimed scope is not only confined to done description.
Embodiment:
By measuring body weight and detection molecules marker genetype, match with MBLUP technical evaluation kind sheep breeding value, in seed selection offspring, carry out performance test and genotype detection by the breeding goal of design, carry out colony's subculture seed selection with MBLUP method; The final numb mutton new lines in north, Guizhou Province that forms.
Specifically: with in the numb sheep seed farm in north, Xishui County Fu Xing animal husbandry company limited Guizhou Province, carry out about rapidly and efficiently selection of a kind of goat Meat Traits, comprise the following steps:
(1) performance test: mainly the body weight index of goat is measured; When mensuration, record body weight, sex, age, the ear label of every goat, and collect the pedigree data of goat; When described body weight detects, a sheep fasting 20h, after taboo drink 2h, empty stomach claims to survey the weight of goat, and unit is kg;
(2) DNA sample gathers: gather according to a conventional method blood sample or the ear tissue sample of every goat, and extract sample DNA, the DNA sample of every goat is corresponding one by one with its ear label;
(3) marker gene primer is synthetic: by the synthetic DNA sample marker gene that comprises---growth independent factor 1B gene 340bp G/A of place specific primer sudden change and SNP site goat body weight significant correlation;
(4) template pcr amplification primer: by 2 × TaqPCRMasterMix, ddH
2o, primer, template DNA mixing are built into PCR reaction system, and wherein 2 × Taq PCR MasterMix is 5 μ L, ddH
2o is that 3.4 μ L, primer are that 0.8 μ L, template DNA are 0.8 μ L; After mixing, carry out pcr amplification, obtain amplified production; What described template pcr amplification primer adopted is hybrid system, specifically first primer, 2 × Taq PCR MasterMix, ddH
2o mixes rear packing, adds template DNA to carry out, after centrifugal 5s, proceeding to pcr amplification program; Described pcr amplification program is at 94 DEG C after denaturation 5min, proceeds to amplification program before the extension of 35 circulations, after 35 circulations complete, at 72 DEG C of downward-extension 10min, can obtain amplified production.Amplification program before the extension of 35 described circulations, one of them circulation is: at 94 DEG C after sex change 30s, proceed to the 30s that anneals at 50.7 DEG C, then at 72 DEG C of downward-extension 30s; Described primer is two kinds, and its sequence is respectively:
F-CCTGGACAGGACTCATCAAACT；
R-GCAAATAGGGGAGGATTTCTCT；
Wherein in the proportioning raw materials of template pcr amplification primer, respectively account for 0.4 μ L;
(5) genotype is judged and somatotype: amplified production at 99 DEG C after sex change 5min, is placed on 10% polyacrylamide gel and carries out electrophoresis, after electrophoresis, carry out cma staining and take pictures, and directly judge idiotype according to electrophoresis result;
(6) sequence verification of the individual PCR product of different genotype: to individual each 5 the 50 μ L amplification systems of different genotype, detect through sepharose, have after object band, carry out isogeneity order-checking; Record each individual genotype, all corresponding one by one with body weight, DNA sample, individual ear label;
(7) individual MBLUP genetic evaluation: include each individual system spectrum, age, sex, genotype and body weight information in mark auxiliary BLUP (MBLUP) model and estimate each individual breeding value, its model is as follows:
y＝Zu+Qν+e
Wherein: y is measured body weight value vector; U is breeding value random vector, and its average is 0, and variance-covariance matrix is
ν is fixed member marker effect vector, and e is error vector, and its average is 0, and variance-covariance matrix is
Z, Q are corresponding incidence matrix;
Mathematical expection and the variance of random vector u and error vector e are defined as:
A is the coefficient of relationship matrix of all individualities,
for individual breeding value variance;
(8) family is set up in goat apolegamy: taking ram as unit, choose the nearer goat of breeding value and set up individuality as family, each family ewe >=15, at least set up 30 familys; Each family ram breeding value >=ewe breeding value, nothing close relation altogether in male and female sheep three generations;
(9) seed selection of Goat Population in Yangtse subculture forms core population: according to rapidly and efficiently breeding goal of goat Meat Traits, in step 8) family offspring in carry out performance test and genotype detection, carry out colony's subculture seed selection with BLUP method, repeating step 1-8) after >=bis-generations, can obtain goat Meat Traits core population;
(10) excellent genes manually spreads: in core population, ewe is directly delivered to goat conservation district and goes to do kind of a sheep; Ram adopts the mode of artificial insemination, carries out goat expansion numerous in Goat Population in Yangtse, can make meat type goat can obtain rapidly and efficiently seed selection and can obtain conservation processing to goat excellent genes.
It is important to point out at this: above embodiment only limits to beneficial effect of the present invention and embodiment to be further elaborated; can not be interpreted as the further restriction to technical scheme of the present invention; what those skilled in the art made in foregoing does not have outstanding substance and significant improved innovation and creation with of the present invention, still belongs to the protection category of technical scheme of the present invention.
Claims (10)
1. a rapidly and efficiently selection of goat Meat Traits, is characterized in that, comprises the following steps:
(1) performance measurement: mainly the leading indicator body weight of goat Meat Traits is measured; When mensuration, record body weight, sex, age, the ear label of every goat, and collect the pedigree data of goat; When described body weight determination, sheep fasting 16～24h, prohibits the weight that claims to survey on an empty stomach goat after drink 2h, and unit is kg;
(2) DNA sample gathers: gather according to a conventional method blood sample or the ear tissue sample of every goat, and extract sample DNA, the DNA sample of every goat is corresponding one by one with its ear label;
(3) marker gene primer is synthetic: comprise in goal gene and the specific primer in the SNP site of goat body weight significant correlation synthetic DNA sample;
(4) template pcr amplification primer: by 2 × Taq PCR MasterMix, ddH
2o, primer, template DNA mixing are built into PCR reaction system, and wherein 2 × Taq PCR MasterMix is 5 μ L, ddH
2o is that 3.4 μ L, primer are that 0.8 μ L, template DNA are 0.8 μ L; After mixing, carry out pcr amplification, obtain amplified production;
(5) genotype is judged and somatotype: amplified production at 99 DEG C after sex change 5min, is placed on 10% polyacrylamide gel and carries out electrophoresis, after electrophoresis, carry out cma staining and take pictures, and directly judge idiotype according to electrophoresis result;
(6) sequence verification of the individual PCR product of different genotype: to individual each 5 the 50 μ L amplification systems of different genotype, detect through sepharose, have after object band, carry out isogeneity order-checking; Record each individual genotype, all corresponding one by one with body weight, DNA sample, individual ear label;
(7) individual MBLUP genetic evaluation: include each individual system spectrum, age, sex, genotype and body weight information in mark auxiliary BLUP (MBLUP) model and estimate each individual breeding value, its model is as follows:
y＝Zu+Qν+e
Wherein: y is measured body weight value vector; U is breeding value random vector, and its average is 0, and variance-covariance matrix is
ν is fixed member marker effect vector, and e is error vector, and its average is 0, and variance-covariance matrix is
Z, Q are corresponding incidence matrix;
Mathematical expection and the variance of random vector u and error vector e are defined as:
A is the coefficient of relationship matrix of all individualities,
for individual breeding value variance;
(8) family is set up in goat apolegamy: taking ram as unit, (each family ram breeding value can not be lower than ewe breeding value as family foundation individuality to choose the nearer goat of breeding value, between male and female sheep, should avoid inbreeding, nothing close relation altogether in male and female sheep three generations), each family ewe >=15, at least set up 30 familys;
(9) seed selection of Goat Population in Yangtse subculture forms core population: according to rapidly and efficiently breeding goal of goat Meat Traits, in step 8) family offspring in carry out body weight determination and genotype detection, carry out colony's subculture seed selection with MBLUP method, repeating step 1-8) after >=bis-generations, can obtain Goral mutton core population;
(10) excellent genes manually spreads: in core population, ewe is directly delivered to conservation district and goes to do kind of a sheep; Ram adopts test-tube mode, carries out goat and expand numerous in Goat Population in Yangtse.
2. rapidly and efficiently selection of goat Meat Traits as claimed in claim 1, is characterized in that described step 1) in, when body weight determination detects, a sheep fasting 20h.
3. rapidly and efficiently selection of goat Meat Traits as claimed in claim 1, is characterized in that described step 4) in, what template pcr amplification primer adopted is hybrid system, specifically first primer, 2 × Taq PCR MasterMix, ddH
2o mixes rear packing, adds template DNA to carry out, after centrifugal 5s, proceeding to pcr amplification program; Described pcr amplification program is at 94 DEG C after denaturation 5min, proceeds to amplification program before the extension of 35 circulations, after 35 circulations complete, at 72 DEG C of downward-extension 10min, can obtain amplified production.
4. rapidly and efficiently selection of goat Meat Traits as claimed in claim 3, it is characterized in that, amplification program before the extension of 35 described circulations, one of them circulation is: at 94 DEG C after sex change 30s, proceed to the 30s that anneals at 50.7 DEG C, then at 72 DEG C of downward-extension 30s.
5. rapidly and efficiently selection of goat Meat Traits as claimed in claim 1, is characterized in that, described primer is two kinds of upstream primer and downstream primers, and its sequence is respectively:
F-CCTGGACAGGACTCATCAAACT；
R-GCAAATAGGGGAGGATTTCTCT; Wherein, in template pcr amplification system, upstream and downstream primer respectively accounts for 0.4 μ l.
6. rapidly and efficiently selection of goat Meat Traits as claimed in claim 1, is characterized in that, described goat apolegamy is set up in family step, each family ram breeding value >=ewe breeding value, nothing close relation altogether in male and female sheep three generations.
7. rapidly and efficiently selection of goat Meat Traits as claimed in claim 1, is characterized in that, described family is not less than 40, ewe >=20 of each family.
8. rapidly and efficiently selection of goat Meat Traits as claimed in claim 1, is characterized in that, described family is not less than 60, ewe >=25 of each family.
9. rapidly and efficiently selection of goat Meat Traits as claimed in claim 1, is characterized in that, described subculture seed selection, repeating step 1-8) >=tri-generations.
10. rapidly and efficiently selection of goat Meat Traits as claimed in claim 1, is characterized in that, described subculture seed selection, repeating step 1-8) >=tetra-generations.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410211282.XA CN104017865A (en) | 2014-05-19 | 2014-05-19 | Efficient goat breeding method based on meat properties |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410211282.XA CN104017865A (en) | 2014-05-19 | 2014-05-19 | Efficient goat breeding method based on meat properties |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104017865A true CN104017865A (en) | 2014-09-03 |
Family
ID=51434859
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410211282.XA Pending CN104017865A (en) | 2014-05-19 | 2014-05-19 | Efficient goat breeding method based on meat properties |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104017865A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104663581A (en) * | 2015-01-30 | 2015-06-03 | 西藏自治区农牧科学院畜牧兽医研究所 | High-quality cashmere goat breeding method |
| CN107006428A (en) * | 2017-05-25 | 2017-08-04 | 西藏自治区农牧科学院畜牧兽医研究所 | A kind of breeding method of meat sheep for breeding |
| CN109182554A (en) * | 2018-10-24 | 2019-01-11 | 浙江省农业科学院 | Molecular labeling including SNP3 and its application in sheep assistant breeding |
| CN109251986A (en) * | 2018-10-24 | 2019-01-22 | 浙江省农业科学院 | Molecular labeling including SNP7-1 and its application in sheep assistant breeding |
| CN110250094A (en) * | 2019-05-27 | 2019-09-20 | 内蒙古犇牛科技有限公司 | A kind of group breeding method of mutton sheep |
| WO2020133587A1 (en) * | 2018-12-28 | 2020-07-02 | 广州影子科技有限公司 | Precision selection and pairing method utilizing parental genome information in animal breeding |
| CN114075606A (en) * | 2020-08-12 | 2022-02-22 | 甘肃省畜牧兽医研究所 | Method for breeding multi-lamb strain of Longdong cashmere goat |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103525920A (en) * | 2013-09-29 | 2014-01-22 | 新疆农业大学 | Molecular marker method for breeding meat performance of Aletail sheep and application thereof |
-
2014
- 2014-05-19 CN CN201410211282.XA patent/CN104017865A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103525920A (en) * | 2013-09-29 | 2014-01-22 | 新疆农业大学 | Molecular marker method for breeding meat performance of Aletail sheep and application thereof |
Non-Patent Citations (3)
| Title |
|---|
| 张红平等: "动物模型BLUP法应用于肉用山羊育种的探讨", 《中国草食动物》, no. 1, 30 December 2004 (2004-12-30), pages 97 - 98 * |
| 李玉荣等: "动物模型BLUP法估计内蒙古白绒山羊育种值的研究", 《遗传学报》, vol. 27, no. 9, 10 September 2000 (2000-09-10), pages 777 - 786 * |
| 肖礼华等: "利用MBLUP法选育黔北麻羊", 《草食家畜》, no. 2, 10 March 2014 (2014-03-10) * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104663581A (en) * | 2015-01-30 | 2015-06-03 | 西藏自治区农牧科学院畜牧兽医研究所 | High-quality cashmere goat breeding method |
| CN104663581B (en) * | 2015-01-30 | 2017-01-04 | 西藏自治区农牧科学院畜牧兽医研究所 | The breeding method of high-quality down producing goat |
| CN107006428A (en) * | 2017-05-25 | 2017-08-04 | 西藏自治区农牧科学院畜牧兽医研究所 | A kind of breeding method of meat sheep for breeding |
| CN109182554A (en) * | 2018-10-24 | 2019-01-11 | 浙江省农业科学院 | Molecular labeling including SNP3 and its application in sheep assistant breeding |
| CN109251986A (en) * | 2018-10-24 | 2019-01-22 | 浙江省农业科学院 | Molecular labeling including SNP7-1 and its application in sheep assistant breeding |
| CN109182554B (en) * | 2018-10-24 | 2021-09-10 | 浙江省农业科学院 | Molecular marker comprising SNP3 and application thereof in assisted breeding of Hu sheep |
| CN109251986B (en) * | 2018-10-24 | 2021-09-10 | 浙江省农业科学院 | Molecular marker comprising SNP7-1 and application thereof in assisted breeding of Hu sheep |
| WO2020133587A1 (en) * | 2018-12-28 | 2020-07-02 | 广州影子科技有限公司 | Precision selection and pairing method utilizing parental genome information in animal breeding |
| CN110250094A (en) * | 2019-05-27 | 2019-09-20 | 内蒙古犇牛科技有限公司 | A kind of group breeding method of mutton sheep |
| CN110250094B (en) * | 2019-05-27 | 2022-02-22 | 内蒙古犇牛科技有限公司 | Group breeding method of mutton sheep |
| CN114075606A (en) * | 2020-08-12 | 2022-02-22 | 甘肃省畜牧兽医研究所 | Method for breeding multi-lamb strain of Longdong cashmere goat |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104017865A (en) | Efficient goat breeding method based on meat properties | |
| Onzima et al. | Genome-wide characterization of selection signatures and runs of homozygosity in Ugandan goat breeds | |
| Gutierrez et al. | Genomic selection for growth traits in Pacific oyster (Crassostrea gigas): potential of low-density marker panels for breeding value prediction | |
| Gutierrez et al. | Genetic mapping of quantitative trait loci (QTL) for body-weight in Atlantic salmon (Salmo salar) using a 6.5 K SNP array | |
| Lee et al. | Genome-wide association study identifies major loci for carcass weight on BTA14 in Hanwoo (Korean cattle) | |
| CN104357553B (en) | A kind of Pelteobagrus fulvidraco microsatellite Parentage determination method | |
| Glover et al. | Genetic diversity within and among Atlantic cod (Gadus morhua) farmed in marine cages: a proof‐of‐concept study for the identification of escapees | |
| Barria et al. | Population genomic structure and genome-wide linkage disequilibrium in farmed Atlantic salmon (Salmo salar L.) using dense SNP genotypes | |
| Rosa et al. | Parentage verification of Valle del Belice dairy sheep using multiplex microsatellite panel | |
| CN105010233A (en) | Method for breeding high-reproductive-performance breeding rabbits through SNP assistant selection breeding technology | |
| Savoy et al. | Evidence of natural reproduction of Atlantic sturgeon in the Connecticut River from unlikely sources | |
| CN104946776A (en) | Chicken FABP4 gene molecular genetic marker related to good chicken slaughtering character and application of chicken FABP4 gene molecular genetic marker | |
| Junjie et al. | Genetic breeding and molecular marker-assisted selective breeding of largemouth bass | |
| CN104328119B (en) | The related microsatellite molecular marker of megalobrama amblycephala growth traits and application | |
| CN102653785A (en) | Identifying method of megalobrama amblycephala family by microsatellite | |
| CN104313135B (en) | Evaluation method of individual breeding values of turbot | |
| Hassen et al. | Morphological and molecular genetic diversity of Syrian indigenous goat populations | |
| CN105002171A (en) | SNP mark related to weight of eriocheir sinensis and application of SNP mark | |
| CN105441576A (en) | Microsatellite multiplex-PCR (Polymerase Chain Reaction) method for carrying out paternity testing on crassostrea gigas | |
| Bora et al. | Genetic diversity and population structure of selected Ethiopian indigenous cattle breeds using microsatellite markers | |
| Szwaczkowski et al. | Inter-and intra-genetic diversity in the Polish Konik horse: implications for the conservation program | |
| Chen et al. | Analysis of genetic diversity and selection characteristics using the whole genome sequencing data of five buffaloes, including Xilin buffalo, in Guangxi, China | |
| Li et al. | Estimationof genetic parameters for juvenile growth performance traits in oliveflounder (Paralichthys olivaceus) | |
| CN105039502A (en) | Chicken mtDNA D-loop region complete-sequence amplifying and sequencing method and special-use primer | |
| CN116064759B (en) | Molecular marker, primer group, kit, method and application for identifying sex of pelteobagrus vachelli |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20140903 |