▶ Phenotypic Correlation Analysis, and QTL Mapping 

To encompass the exploration of trait relationships through phenotypic correlation analysis, aiming to unveil intricate associations among various characteristics. To pinpoint genetic markers closely linked to specific quantitative traits, facilitating their selection for further breeding strategies. 

▶ Applying GWAS Analysis Results Across Various Models 

To identify genetic variations associated with specific traits or diseases across the entire genome. The application of diverse models, including GLM, MLM, SUPER, ECMLM, FarmCPU, and MLMM, significantly improves the accuracy of GWAS results. These models collectively enhance the precision in identifying genetic associations, offering a comprehensive understanding of the genomic landscape. 

▶ GLM (general linear model)

▶ MLM (mixed linear model)

▶ SUPER (settlement of mixed linear model under  

     progressively exclusive relationship)

▶ ECMLM (enriched compressed mixed linear model)

▶ FarmCPU

    (fixed and random model circulating probability unification)

▶ MLMM (multi-locus mixed model) 

Make Your Research Count with GBS!

Unlock the power of precision genetics.

Choose GBS for targeted and cost-effective genotyping. 

Contact us today to elevate your research to new heights!

 ​