Endangered rare bovine and ovine germplasm resource genetic analysis system

By constructing a genetic analysis system for endangered and rare cattle and sheep germplasm resources, the problems of data dispersion and inaccurate breed identification have been solved, enabling centralized management and scientific preservation of genetic resources, and improving the efficiency and accuracy of preservation work.

CN122090938APending Publication Date: 2026-05-26SHANDONG AGRICULTURAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG AGRICULTURAL UNIVERSITY
Filing Date
2026-03-11
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies for the conservation of endangered and rare cattle and sheep germplasm resources suffer from problems such as scattered genetic resource data, inconsistent standards, reliance on traditional methods for breed identification, lack of scientific conservation plans, and inadequate effectiveness evaluation.

Method used

A genetic analysis system for endangered and rare cattle and sheep germplasm resources was constructed, including a data layer, a functional layer, an interaction layer, and a support layer. This system enables the storage and management of multi-source heterogeneous data, conducts genetic diversity analysis, breed identification, and optimization of conservation plans, and provides visualization and dynamic monitoring.

Benefits of technology

It has enabled centralized storage and precise analysis of endangered and rare cattle and sheep germplasm resources, improved the scientific nature and efficiency of conservation efforts, and provided scientific conservation plans and real-time effect evaluation.

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Abstract

This invention provides a genetic analysis system for endangered and rare cattle and sheep germplasm resources, comprising: a data layer for storing and managing multi-source heterogeneous data; a functional layer for processing and analyzing system data to obtain genetic analysis results of endangered and rare cattle and sheep germplasm resources; the analysis of system data includes genetic diversity analysis, breed identification, optimization of conservation plans, and monitoring of conservation effects; an interaction layer for displaying analysis results, analysis operation, and database retrieval interfaces, and exporting genetic analysis results and database retrieval results of endangered and rare cattle and sheep germplasm resources; and a support layer for providing the system with computing resources, storage capacity, and network communication. This invention employs multi-task, multi-threaded scheduling technology to achieve efficient concurrent processing of tasks, significantly improving the platform's response speed and reliability, and possessing strong compatibility and scalability, making it suitable for the protection of endangered and rare cattle and sheep genetic resources.
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