Sea area lateolabrax japonicus genetic economic character parameter estimation method

The genetic and economic traits of seabass were evaluated through clustering algorithms and multi-environment experiments, which solved the problems of single trait selection and poor environmental adaptability in traditional breeding, achieved multi-trait coordinated selection and maintenance of genetic diversity, and improved breeding efficiency and variety stability.

CN120690285AActive Publication Date: 2025-09-23SOUTH CHINA SEA FISHERIES RES INST CHINESE ACAD OF FISHERY SCI
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Patent Information

Application Number
CN202511040857.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-28
Publication Date
2025-09-23
Estimated Expiration
2045-07-28

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Abstract

The invention provides a sea-area lateolabrax japonicus genetic economic character parameter estimation method, and relates to the technical field of sea-area lateolabrax japonicus. The sea-area lateolabrax japonicus genetic economic character parameter estimation method comprises the steps that firstly, based on SNP information, lateolabrax japonicus is divided into a plurality of genetic clusters through principal component analysis and a spectral clustering algorithm; respectively obtaining a half lethal temperature and a disease resistance comprehensive score of each cluster through a high temperature resistance experiment and a disease resistance experiment; breeding tests are carried out under different environmental conditions, growth resistance is calculated in combination with environmental fitness, and growth evaluation indexes are obtained by integrating growth rates under a standard environment; and finally, integrating the growth evaluation index, the half lethal temperature and the disease resistance score to calculate a comprehensive genetic score, and screening out first 20% of excellent clusters. In excellent clustering, individuals are primarily selected according to phenotype data of growth rate, heat resistance and disease resistance, families are divided through SNP information to avoid inbreeding, a comprehensive breeding value is calculated by adopting a BLUP method, and the first 20% of individuals are selected as parents.
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