Tilapia genome selective breeding method

A genome selection and tilapia technology, applied in genomics, biochemical equipment and methods, proteomics, etc., can solve the problems of slow progress and low accuracy, achieve accelerated breeding, increase survival rate and yield, and promote The effect of green and healthy development

Pending Publication Date: 2020-05-08
YELLOW SEA FISHERIES RES INST CHINESE ACAD OF FISHERIES SCI
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Problems solved by technology

[0004] The purpose of the present invention is to establish a method for cultivating disease-resistant tilapia improved species based on genome selection technology, to improve the problems of low accuracy and slow progress in traditional b

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  • Tilapia genome selective breeding method
  • Tilapia genome selective breeding method

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[0033] Taking Gifu tilapia resistance to Streptococcus agalactiae as an example, the breeding method of tilapia disease-resistant improved species based on genome selection technology is described in detail in conjunction with the accompanying drawings:

[0034] 1) Phenotypic determination of resistance to Streptococcus agalactiae in Gifu tilapia and establishment of a reference population

[0035]The Gifu tilapia families established in 2014 and 2015 were selected as research materials, among which, there were 40 families in 2014 and 49 families in 2015. When the average body weight of fry of each family reaches 50-60 grams, randomly select 150 juveniles from each family to carry out the artificial infection experiment of Streptococcus agalactiae. The time of injection of pathogenic bacteria is regarded as zero point, and the survival of juvenile fish of each family is observed every three hours. If a dead individual is found, fish it out in time and record the family informa...

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Abstract

The invention provides a method for cultivating disease-resistant tilapia improved varieties based on a genome selection technology. The method comprises the following steps: selecting an optimal SNPmarker density by comparing the prediction accuracy of GBLUP and Bayes Cpi under different marker densities; evaluating the prediction accuracy of other genome selection methods under the selected marker density; and comprehensively considering calculation time and prediction accuracy, and selecting a genome estimation breeding value method suitable for disease-resistant breeding of tilapia. The invention provides the method for rapidly and accurately estimating the tilapia disease-resistant trait genome estimation breeding value, wherein the filial generation disease resistance obtained by using the method is higher than the filial generation disease resistance of a control group. By using the method, breeding of disease-resistant tilapia varieties can be accelerated, the tilapia breedingyield is increased, and healthy development of the tilapia breeding industry is promoted.

Description

technical field [0001] The invention belongs to the technical field of aquatic genetics and breeding, and in particular relates to a method for cultivating improved tilapia disease-resistant varieties based on whole genome selection. Background technique [0002] my country began to introduce tilapia in the 1950s. After decades of hard work, it has successively overcome a series of problems such as distant hybridization, artificial breeding, large-scale farming and commercial fish processing, making my country the world's largest producer and exporter of tilapia. country with the largest volume. At present, tilapia production areas are mainly located in Guangdong, Hainan, Guangxi, Yunnan and Fujian, with an annual output of about 1.8 million tons and an export volume of about 400,000 tons. Among them, Gifu tilapia is the leading species of tilapia farming in my country, and the farming area accounts for about 60% of the total area of ​​the country. However, with the rapid d...

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Application Information

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IPC IPC(8): G16B30/10G16B20/30G16B20/20C12Q1/6888
CPCG16B30/10G16B20/30G16B20/20C12Q1/6888C12Q2600/124C12Q2600/156Y02A40/81
Inventor 陈松林卢昇朱佳杰孟亮
Owner YELLOW SEA FISHERIES RES INST CHINESE ACAD OF FISHERIES SCI
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