genetic markers & Models

GWAS & Genomic Selection

In Chawade lab we develop genomics tools for plant breeding using linkage mapping, GWAS and genomic selection.

Linkage mapping

Linkage mapping identifies genetic markers linked to traits by analyzing inheritance patterns. 

GWAS

Genome-wide association studies (GWAS) detect associations between traits and markers across the genome to identify candidate genes. 

Genomic Selection

Genomic selection predicts breeding values based on marker profiles, aiding in the selection of individuals with desirable traits for breeding programs.

Linkage Mapping & GWAS

In Chawade lab we identified several major qtl for important diseases in winter wheat, barley, potato and rape seed. Linkage mapping and GWAS are used as appropriate. Please visit google scholar for the list of publications utilizing these methods

Genomic Selection

Chawade lab explores various methods to enhance the accuracy of genomic selection (GS) by employing multiple GS algorithms, selecting the number of SNPs, considering genotype-by-environment interactions, and using GWAS as covariates. We’ve demonstrated that just 200-2000 SNPs, identified through haplotyping and bioinformatics, are adequate for genomic prediction in wheat, potato and barley. Currently, we are integrating GS into the conventional breeding program for pea at Findus, winter wheat and spring barley at Lantmännen