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Method, device and system for estimating genome breeding value

A genome and breeding value technology, applied in the biological field, can solve the problems of large memory resources, time-consuming, unstable prediction accuracy, etc.

Pending Publication Date: 2021-04-27
BGI INST OF APPLIED AGRI
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Problems solved by technology

However, the prediction value obtained by the direct GBLUP method cannot effectively use high-density marker information, resulting in the accuracy of genome prediction to be improved; and the Bayes method to estimate the marker effect by sampling is not only time-consuming, but also takes up a lot of memory. resources, and the prediction accuracy is not stable

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  • Method, device and system for estimating genome breeding value
  • Method, device and system for estimating genome breeding value
  • Method, device and system for estimating genome breeding value

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[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be described in detail below. Apparently, the described embodiments are only some of the embodiments of this application, not all of them. Based on the embodiments in the present application, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present application.

[0049] see figure 1 , figure 1 It is a flowchart of a method for estimating genome breeding value provided by an embodiment of the present application. This embodiment provides a method for estimating the genome breeding value, as shown in the figure, the method may specifically include the following steps:

[0050] Step 101, obtaining high-density genome-wide molecular markers.

[0051] During implementation, the high-density genome-wide molecular markers ma...

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Abstract

The invention relates to a method, device and system for estimating a genome breeding value. The method for estimating the genome breeding value comprises the following steps: acquiring a high-density whole genome molecular marker; trimming the whole genome molecular marker to obtain a first genome molecular marker; constructing a genetic relationship matrix by utilizing the first genome molecular marker; performing whole-genome association analysis on the whole-genome molecular markers by utilizing the genetic relationship matrix, and screening out character-related markers; combining the first genome molecular marker and the trait related marker aiming at the middle genetic ability and low genetic ability traits, and obtaining a breeding value based on a first mixed model equation set; and aiming at the character with high heredity, taking the first genome molecular marker and the character related marker as two components with different heredity variances, and obtaining a breeding value based on a second mixed model equation set. Therefore, the calculation efficiency is improved, the consumption of calculation resources is reduced, the genome selection accuracy is improved, and the genetic improvement of animals and plants can be accelerated.

Description

technical field [0001] The present application relates to the field of biotechnology, in particular to a method, device and system for estimating genome breeding values. Background technique [0002] With the development of sequencing technology and the decrease of sequencing cost, it is possible to use resequencing for genome selection. High-density molecular markers covering the whole genome create conditions for dissecting the genetic mechanism of complex traits, and at the same time provide opportunities for improving the accuracy of genomic selection. [0003] In related technologies, there are mainly two types of genome prediction methods for high-density molecular markers: one is the genome best unbiased linear prediction (GBLUP) method, which assumes that all markers have effects, does not screen markers, and uses all molecular markers Construct the kinship matrix, and then solve the mixed model equations to obtain the breeding value; the other is the Bayesian analy...

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Application Information

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IPC IPC(8): G16B25/00G16B40/30
CPCG16B25/00G16B40/30
Inventor 苗泽圃李勇杨漫漫沈俊燃王然韩虎
Owner BGI INST OF APPLIED AGRI
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