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Genome selection method for complex character genetic improvement

A technology of genome selection and genetic improvement, which is applied in the field of genome selection for genetic improvement of complex traits, can solve the problem of ignoring the differences in the selection methods and efficiencies of major genes and minor genes, and the lack of distinction between major genes and minor genes for complex traits and integration issues to achieve the effects of easy model expansion, high predictive power, and great flexibility

Active Publication Date: 2021-08-06
ZHEJIANG UNIV
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Problems solved by technology

[0004] However, the existing prediction models and strategies based on genomic selection lack the distinction and integration of major and minor genes for complex traits. It means that the main effect gene effect and the minor effect gene effect are not included in the calculation of breeding value

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  • Genome selection method for complex character genetic improvement
  • Genome selection method for complex character genetic improvement
  • Genome selection method for complex character genetic improvement

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Embodiment Construction

[0060] Under a mixed linear model frame, we believe that the main genetically active gene in the complex traits is often genetically involved in the core of the character, and the gene effect is large, more conforming to the fixation of the fixed effect; correspondingly, the micro-efficiency gene tends to involve the occurrence of traits The modifier, the gene effect is smaller, and the assumptions are more conforming to the random effect. However, whether it is a primary gene or a micro-active gene, it has a more or less influence on the phenotype value, so it is necessary to jointly incorporate the estimation of the full-model breeding value to improve the accuracy of the genome selection.

[0061] As a result, we propose a new genome for analyzing the complex traits genetic structure, which contains both the GWA identification main genetic gene for fixed effect in the genome selection full model, and contains GBLUP. Estimated micro-active genes are randomized, and the main micr...

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Abstract

The invention discloses a genome selection method for complex character genetic improvement. The genome selection method comprises the following steps: (1) establishing a statistical genetic model; (2) positioning a major gene; (3) estimating genetic parameters; (4) performing selection based on an individual whole genome breeding value. Compared with the prior art, the method provided by the invention has the beneficial effects that a) compared with a GBLUP model hypothesis, the model hypothesis provided by the invention is more in line with a biological genetic law and has higher predictive power, namely higher genome selection precision; and b) the method is based on a mixed linear model, has great flexibility and is convenient for model expansion.

Description

Technical field [0001] The present invention relates to the calculation of biological techniques, and more particularly to a genome selection method for complex trace genetic improvement. Background technique [0002] Most human diseases and agronomic traits are complex traits that are commonly influenced by multi-gene and non-genetic factors, which is very important to improve the diagnosis rate and improve crop quality on these complex traits. In order to more accurately predict complex traits, Meuwissen et al. (MEUWISSEN THE, HAYES BJ, AND Goddard Me.Prediction of Total Genetic Value Using Genome-Wide Densemarker Maps.GENETICS, 157 (4): 1819-1829. (2001) The first proposed genomicselection, referred to as GSs, a statistical method based on all genome information predictive traits. Unlike molecular-assisted selection, simply referred to as MAS, the ultimate purpose of genomic selection is not just to find a key gene (or a primary gene) associated with a certain part and traits,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B5/00G16B20/00
CPCG16B5/00G16B20/00
Inventor 徐海明张齐心刘臣涛朱天能
Owner ZHEJIANG UNIV
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