BACKGROUND The QTLMAS XVth dataset consisted of the pedigrees, marker genotypes and quantitative trait performances of 2,000 phenotyped animals with a half-sib family structure. The trait was regulated by 8 QTL which display additive, imprinting or epistatic effects. This paper aims at comparing the QTL mapping results obtained by six participants of the workshop. METHODS Different regression...

Abstract Background Streptococcosis is a major bacterial disease in Nile tilapia that caused by Streptococcus agalactiae infection, and development of resistant strains represents sustainable approach towards combating this disease. In study, we performed controlled trial on 120 full-sib families to (i) quantify characterize the potential genomic selection for survival S. infection tilapia, (ii...

Feed costs comprise the majority of variable expenses in beef cattle systems making feed efficiency an important economic consideration within the beef industry. Due to the expense of recording individual feed intake phenotypes, a genomic-enabled approach could be advantageous towards improving this economically relevant trait complex. A genome-wide association study (GWAS) was performed using ...

Bacterial cold water disease (BCWD) causes significant economic losses in salmonid aquaculture, and traditional family-based breeding programs aimed at improving BCWD resistance have been limited to exploiting only between-family variation. We used genomic selection (GS) models to predict genomic breeding values (GEBVs) for BCWD resistance in 10 families from the first generation of the NCCCWA ...

Genomic Best Linear Unbiased Predictor (GBLUP) assumes equal variance for all single nucleotide polymorphisms (SNP). When traits are influenced by major SNP, Bayesian methods have the advantage of SNP selection. To overcome the limitation of GBLUP, unequal variance or weights for all SNP are applied in a method called weighted GBLUP (WGBLUP). If only a fraction of animals is genotyped, single-s...

Abstract Markers are an important tool in plant breeding, which can improve conventional phenotypic generating more accurate information outcoming better decision making. This study aimed to apply and compare the fit of different Bayesian models BRR, BayesA, BayesB, BayesB (setting value from very low $$\pi$$ π </mml:mat...

Abstract Genetic improvement of quality traits in tea ( Camellia sinensis (L.) O. Kuntze) through conventional breeding methods has been limited, because is a difficult and expensive trait to measure. Genomic selection (GS) suitable for predicting such complex traits, as it uses genome wide markers estimate the genetic values individuals. We compared prediction accuracies six genomic models inc...