Grazyella Yoshida

The paper identifies selection signatures in three farmed Nile tilapia strains using whole-genome sequencing and SNP analysis.

The paper estimates autozygosity in farmed coho salmon using runs of homozygosity (ROH) and compares genomic and pedigree-based inbreeding methods.

This study compares optimum contribution selection and mate selection in simulated aquaculture breeding programs, finding similar long-term genetic progress and inbreeding rates between the two strategies.

The paper discovers and validates 50,000 high-quality SNPs in Nile tilapia through whole-genome resequencing of 326 individuals, useful for genomic selection and trait analysis.

This study analyzes population structure, linkage disequilibrium, and effective population size in three farmed Nile tilapia populations using SNP data from whole-genome sequencing.

The paper uses whole-genome sequencing to fine-map sex determination genes in Nile tilapia, identifying anti-Mullerian hormone as a major gene.

The paper identifies 120 candidate genes associated with resistance to Piscirickettsia salmonis in three salmonid species using GWAS and comparative genomics.

This study identifies genomic regions associated with resistance to IPNV in rainbow trout using GWAS and finds candidate genes related to viral replication and immune response.

This study performs GWAS and evaluates genomic selection for growth and fillet yield in Nile tilapia using imputed SNP panels, finding imputation improves genomic prediction accuracy.

This paper estimates linkage disequilibrium and effective population size in coho salmon using ddRAD markers, suggesting 75,000 SNPs for association studies and an effective population size of 100 ten generations ago.

The paper analyzes population structure and linkage disequilibrium in Chilean farmed Atlantic salmon using SNP genotypes, finding genetic differentiation and varying LD decay across populations.

The paper identifies a SNP associated with resistance to P. salmonis in coho salmon and shows genomic selection models perform similarly to pedigree-based methods.