Crop Germplasm Assessment Using Genomic Variation Scoring
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Solution Overview
Problem
Traditional methods for assessing crop germplasm resources are lengthy, difficult, and have low throughput, making it challenging to efficiently and rapidly evaluate phenotypic scores of crop germplasm resources.
Innovation Solution
A method and system that utilize genomic data analysis and priori knowledge to determine phenotypic character scores by identifying genetic loci decisive for phenotypic variations, calculating variation scores using a weighted scoring system, and averaging these scores to obtain a comprehensive score for the germplasm resource.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional phenotype identification methods are used for germplasm resource assessment, then measurement precision can be maintained, but the assessment cycle becomes lengthy and productivity is low
Solution Approach 1:
The patent replaces traditional mechanical/phenotypic observation methods with genomic sequencing and bioinformatic analysis. By collecting genomic data through sequencing and analyzing genetic variations computationally, the system achieves rapid assessment without lengthy field observations, directly resolving the contradiction between assessment speed and accuracy
Solution Approach 2:
The patent performs preliminary genomic data collection and builds a priori knowledge base in advance. By pre-establishing the relationship between genetic variations and phenotypic characters through database construction, the actual assessment only requires comparing new samples against this pre-built knowledge, dramatically reducing assessment time while maintaining precision
2Productivity
If traditional phenotype identification methods are used, then comprehensive phenotypic evaluation can be achieved, but the difficulty and complexity of the assessment process increases
Solution Approach 1:
The patent extracts and isolates specific genetic variation markers that are decisive for phenotypic character variations. By focusing only on these key genetic loci rather than analyzing entire genomes or conducting comprehensive phenotypic observations, the system simplifies the assessment process while maintaining evaluation comprehensiveness through targeted genomic analysis
Solution Approach 2:
The patent introduces a priori knowledge base as an intermediary between genomic data and phenotypic assessment. This database acts as a mediator that translates complex genomic information into interpretable phenotypic scores, reducing the complexity of direct genotype-phenotype mapping while preserving assessment accuracy
Data Source
AI summary
Provided area a method and system for assessing a crop germplasm resource based on priori knowledge. The method includes: collecting genomic data of a germplasm resource to be measured and performing variation detection thereon to obtain whole-genome genetic variation information of the germplasm resource to be measured; determining variation scores of phenotypic characters of the germplasm resource to be measured according to the whole-genome genetic variation information and a priori knowledge base of crop character variations; and determining a comprehensive variation score of the germplasm resource to be measured based on the variation scores of the phenotypic characters of the germplasm resource to be measured. The method of the present application can rapidly assess the scores of the phenotypic characters of the germplasm resource to be measured according to the genotype data thereof and calculate the comprehensive score in combination with the scores of the phenotypic characters.