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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Figure CN120690285A_ABST
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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