SNP site combination and method for predicting litter birth weight genetic performance of to-be-tested pigs

A site and performance technology, applied in the fields of bioinformatics and livestock breeding, can solve problems such as the detection of whole genome genetic markers

Active Publication Date: 2017-10-24
深圳市农牧实业有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Large-scale genome-wide genetic marker testing in populations is currently still a significant expense

Method used

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  • SNP site combination and method for predicting litter birth weight genetic performance of to-be-tested pigs
  • SNP site combination and method for predicting litter birth weight genetic performance of to-be-tested pigs
  • SNP site combination and method for predicting litter birth weight genetic performance of to-be-tested pigs

Examples

Experimental program
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example 1

[0055] Example 1. Acquisition of 5 SNP sites related to the traits of newborn litter weight in Large White pig population

[0056] 1. Estimation of the breeding value of the litter weight trait in Large White pig populations

[0057] 1. Record the litter weights of 618 Large White pigs at different parities to obtain original records. For example, the original records of Large White pigs numbered 133 and 94 are shown in Table 1.

[0058] Table 1

[0059] Numbering

Checked individual number

Parity

breeding date

delivery date

Newborn litter weight (kg)

133

YYNMZC210027402

1

2011 / 8 / 21

/

/

133

YYNMZC210027402

1

2011 / 9 / 12

2012 / 1 / 8

9.6

133

YYNMZC210027402

2

2012 / 2 / 4

2012 / 5 / 31

14.7

133

YYNMZC210027402

3

2012 / 6 / 27

/

/

133

YYNMZC210027402

3

2012 / 9 / 7

2013 / 1 / 4

12.4

133

YYNMZC210027402

4

2013 / 2 / 1

/

/

133

YYNMZC210027402...

example 2

[0092] Example 2. Using 5 SNP sites to predict the litter weight traits of large white pigs to be tested

[0093] In order to be more in line with the breeding practice (that is, to use early-born individuals with well-recorded traits to predict the traits of offspring), 618 large white pigs were grouped according to their birth dates, and 495 large white pigs with earlier birth dates were used as a reference group. 123 Large White pigs with later birth dates were used as the verification group. In the reference group and the verification group, the traits of litter weight at birth were known, and the genotypes of the 5 SNP loci were also known.

[0094] The genotype information and pedigree information of SNP loci were used to predict litter weight traits at birth, and the prediction accuracy was evaluated. The specific method is: set the primary litter weight traits in the verification group as unknown, and then predict the genetic value of the primary litter weight accordi...

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Abstract

The invention discloses an SNP site combination and a method for predicting litter birth weight genetic performance of to-be-tested pigs. The SNP site combination is composed of the 501st nucleotide from the 5'-terminal in the sequence 1, the 501st nucleotide from the 5'-terminal in the sequence 2, the 501st nucleotide from the 5'-terminal in the sequence 3, the 501st nucleotide from the 5'-terminal in the sequence 4 and the 501st nucleotide from the 5'-terminal in the sequence 5 in the genome of pigs. A test proves that prediction reliability value is 0.033 by means of the five SNP sites screened in the invention, which is increased by 129.7% than a BLUP method, so that by means of the five SNP sites, the genetic value of litter birth weight of to-be-tested large white pigs can be predicted. The SNP site combination can accelerate genetic progress, brings economic benefit to breeding farmers, and has important application value.

Description

technical field [0001] The invention relates to the fields of bioinformatics and livestock breeding, in particular to a combination of SNP sites and a method for predicting the genetic performance of newborn litter weight of pigs to be tested. Background technique [0002] In the pig industry, litter weight at birth is an important economic indicator, but the heritability of litter weight at birth is low, and it is difficult to achieve good selection results for phenotype selection and single marker selection. In recent years, some researchers have used genome-wide selection to improve the selection accuracy of litter weight traits at birth, but genome-wide selection requires genetic markers covering the entire genome. Large-scale genome-wide genetic marker testing in populations is currently still a significant expense. [0003] Marker-assisted best linear unbiased prediction (MBLUP) is an important method for implementing marker-assisted selection (MAS) in animals, which ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68G06F19/20
CPCC12Q1/6888C12Q2600/124C12Q2600/156G16B25/00
Inventor 郑华苗泽圃魏强蒙小云杨漫漫陈茜李勇方铭陈涛
Owner 深圳市农牧实业有限公司
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