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70 results about "Genomewide association" patented technology

Method for breeding high-reproductive-performance breeding rabbits through SNP assistant selection breeding technology

The invention belongs to the technical field of livestock breeding and relates to a method for breeding high-reproductive-performance breeding rabbits based on SNP. The method comprises the following steps that firstly, resource group establishing and character measuring are conducted, wherein 1, resource group establishing is conducted, and 2, character measuring is conducted; secondly, target SNP selecting and whole genome correlation analyzing are conducted, wherein 1, genome SNP finding and whole genome SNP chip customizing are conducted, 2, whole genome correlation analyzing and verifying are conducted, and 3, SNP gathering is conducted; thirdly, a BLUP method is conducted, wherein a marginal effect value is calculated based on the principles of economics, and the animal model BLUP method is used for studying rabbit breeding value comprehensive selecting indexes; fourthly, a new M-BLUP rabbit breeding method is conducted, wherein the genetic effect of significant SNP locuses is estimated, molecule marking and BLUP are combined, and the new M-BLUP rabbit breeding method is established; fifthly, the new M-BLUP rabbit breeding method is used for breeding the high-reproductive-performance rabbits. The SNP assistant selection breeding method is adopted, special strains can be bred, and a high-reproductive-performance meat rabbit matched system can be established.
Owner:JILIN KANGDA FOOD CO LTD +1

Method for improving aquatic animal whole-genome selective breeding efficiency

The invention discloses a whole-genome selective breeding method suitable for aquatic animals. Specifically, high-density SNP typing is carried out on individuals of a breeding basic group or a core group; the phenotypic value of the target character is determined; whole-genome association analysis (GWAS) is carried out by utilizing the SNP typing data and the phenotypic data to obtain a significance P value of each SNP marker; the marks are sorted from low to high according to P values; according to different traits, different marker number combinations sorted in the top are selected according to the P values, analysis is performed by adopting methods such as GBLUP, Bayes B and the like, the prediction accuracy of the different marker numbers selected according to the P values is evaluated through cross validation, and finally, the marker combination with the highest prediction accuracy is determined. SNP typing is conducted on the candidate population or the next-generation breedingpopulation through the screened optimal marker combination, breeding value prediction is conducted on the candidate population or the next-generation breeding population through adoption of GBLUP or BayesB or ssGBLUP or other methods, and therefore, the prediction accuracy can be remarkably improved.
Owner:INST OF OCEANOLOGY - CHINESE ACAD OF SCI

Method for effectively anchoring candidate gene region of peanut quantitative traits

The invention relates to the field of biotechnology, and in particular to a method for effectively anchoring a candidate gene region of a quantitative trait. The method is co-localized with a genome-wide association study and a quantitative trait localization method to achieve efficient anchoring of the quantitative trait candidate gene regions. The method achieves effective anchoring of the candidate gene region of the peanut quantitative trait by co-localization with the genome-wide association study and the quantitative trait localization. The method is exemplified by quantitative granule weight, firstly, through a simplified genome sequencing technology, the genome-wide SNP marker development of 165 cultivar peanut core collections in China is carried out; based on a principle of linkage disequilibrium, combined with peanut 100-fruit weight and 100-kernel weight breeding value, the related gene regions related to peanut weight traits are associated; in the previous reports, the QTLmapping results of the grain weight traits are converted to the corresponding genomic physical locations, the co-localization region of the two methods can be obtained, and the method can effectivelyand accurately realize the localization of the genome-wide particle weight-related trait genes.
Owner:SHANDONG PEANUT RES INST
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