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Method for improving genome-wide prediction accuracy

A genome-wide, accurate technology, applied in genomics, proteomics, instruments, etc., can solve problems that have not yet been reported in research, and achieve the effect of improving prediction efficiency and accuracy

Active Publication Date: 2019-11-15
INST OF CROP SCI CHINESE ACAD OF AGRI SCI
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Problems solved by technology

Therefore, it is necessary to study and verify the predictive effect of molecular markers with large effects as fixed effects in maize parental populations. There is no research report in this area in maize so far.

Method used

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  • Method for improving genome-wide prediction accuracy
  • Method for improving genome-wide prediction accuracy
  • Method for improving genome-wide prediction accuracy

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Experimental program
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Effect test

Embodiment 1

[0040] 1. Phenotype analysis: BC containing 481 families was constructed using parents PH4CV and Zheng 58 as parents 1 f 3:4 population, in which PH4CV is the recurrent parent. Phenotype and genotype identification were carried out on these 481 materials. The phenotype was counted at the flowering period of maize under two environmental conditions in two years (a total of four environments). Two replicates were set for each environment. The four environments were 2016 and 2016 respectively Shunyi, Beijing in 2017, Changji, Xinjiang in 2016 and 2017. Phenotype identification showed that the correlation coefficients in the four environments all reached extremely significant levels, and the correlation coefficients ranged from 0.48 to 0.63, indicating that the populations had a common genetic basis in different environments (see figure 1 ). Relatively high generalized heritability (H 2 ) and low coefficient of variation proves the stability of DA (see Table 1). When performi...

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Abstract

The invention relates to the technical field of molecular breeding of crops and genome-wide association study, and particularly provides a method for improving the genome-wide prediction (GP) accuracy. The method comprises the steps that (1), a target crop population is subjected to phenotype and genotype identification, based on the genome-wide association study (GWAS) of the whole population, the four single nucleotide polymorphisms (SNPs) with the maximum effect are found; (2), the four SNPs with the maximum effect are used as the fixed effect, genotype and environment interaction components are added to a GP model, and the prediction accuracy can be improved to the greatest extent. After the phenotype and genotype identification is completed, the prediction accuracy is improved as faras possible only by using existing data information without increasing other investment of manpower and material resources. When the method is used in molecular breeding work, the prediction efficiency will be improved, therefore, the prediction reliability is improved, and the breeding cost is reduced.

Description

technical field [0001] The invention belongs to the field of crop molecular breeding, and specifically relates to a method for improving the accuracy of GP prediction by improving the linear model components of the whole genome prediction (GP), and the specific direction is modern agricultural technology. Background technique [0002] Genome-wide prediction (GP) is a new type of molecular breeding technology, which requires the establishment of two populations, one is a training population and the other is a prediction population. The training population needs phenotype and genotype identification, and the training population is used to estimate the marker effect of molecular markers, so as to estimate the breeding value of the prediction population according to the marker effect. Compared with conventional molecular marker-assisted breeding (MAS), GP has the following advantages. First, GP does not need to identify significant quantitative trait loci (QTL). Second, GP can t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B20/00G16B5/00
CPCG16B20/00G16B5/00
Inventor 张红伟李冬冬王国英
Owner INST OF CROP SCI CHINESE ACAD OF AGRI SCI
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