QTL Mapping & GWAS
Overview
Quantitative trait locus (QTL) mapping and genome-wide association studies (GWAS) require robust phenotypic datasets to uncover genetic factors controlling complex traits. High-throughput phenotyping reduces measurement noise and enhances the statistical power of genetic association analyses.
1. Controlled-environment mapping populations
2. Multi-environment association panels
3. Fine-mapping candidate loci
4. Integrating spectral indices with genetic markers
Recommended Solutions
High-Throughput Phenotyping System
- Population-scale acquisition of quantitative traits required for QTL and GWAS analyses
- Standardized and reproducible phenotypic measurements across large genetic panels
- Time-series phenotyping enabling dynamic trait mapping
- Reduction of observer bias in quantitative trait scoring
Gantry-Based Phenotyping Platform
- Large-population phenotyping under uniform field or greenhouse conditions
- Spatially consistent data collection minimizing environmental noise
- Multi-environment phenotyping supporting G × E interaction analysis
Why Our System Fits This Application
High temporal resolution, multimodal sensing, and uniform acquisition pipelines significantly strengthen QTL/GWAS reliability.