Rajesh Joshi

The paper evaluates Bayesian genomic models for predicting resistance to Streptococcus agalactiae in Nile tilapia, finding improved prediction accuracy compared to pedigree-based models.

This paper estimates non-additive genetic variance and inbreeding depression in Nile tilapia using genomic data, finding additive by additive epistasis and maternal effects.

This study compares genomic and pedigree-based models for predicting commercial traits in Nile tilapia, finding genomic models significantly improve prediction accuracy and reduce bias.

The paper compares chromosome-scale genome assemblies of African cichlids to identify structural variations and their evolutionary implications.

The paper develops a 58K SNP-array and high-density linkage map for Nile tilapia to improve genomic selection and genetic progress in aquaculture.