Naslov
Genomic evaluation and association studies of correlated traits in dairy and dual purpose breeds

Autori
Špehar, Marija

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, doktorska disertacija

Fakultet
Biotehnološki fakultete

Mjesto
Ljubljana

Datum
24.03

Godina
2015

Stranica
122

Mentor
Gorjanc, Gregor & Čurik, Ino

Ključne riječi
Dd, UDC, cattle/genomic selection/GWAS, AGRIS

Sažetak
Selection of domestic animals is commonly based on phenotypic and pedigree information that are used to estimate breeding value (EBV). Development of techniques of molecular genetics and inclusion of thousands of single-nucleotide polymorphisms (SNPs) as an additional information into the system of genetics evaluation leads to so-called genomic selection. The advantage of this approach in cattle selection is that breeding values can be evaluated utilizing all the available data. the accuracy of evaluations was assessed using univariate national evaluation, international DGV, and bivariate national evaluation incorporating international DGV as a correlated trait. Results indicate that integration od DGV from a large consortium into the national evaluation as a correlated trait enabled a combination of all the available data and avoiding the need to publish several estimates of breeding values per animal. Bivariate approach is important for bulls with a small number of daughters per tested bull. The issue of double counting was neglected due to a small number of daughters per tested bull. The issue of double counting was neglected due to a small number of Slovenian BSW bulls used for the development of DGV equation in a consortium. In the second part, SNP marker panels were used in genome-wide association (GWAS) to determine associations between SNPs and dairy traits in Slovenian BSW bulls. The Bonferroni correction resulted in 52 significant SNPs using single SNP analysis. Correction for population stratification based on admixture components was shown to have a great impact on the analysis and then no significant associations among SNPs and dairy traits have been detected. Results from GWAS will facilitate the understanding of the genetic architecture of complex traits and could be used to improve breeding programmes. In the last part, GWAS was performed in order to characterize genomic regions with associations having different magnitude and direction of effect on dairy and beef traits in dual-purpose populations providing the possibility to dissect genetic correlations between traits. genome partitioning of genetics covariance between dairy and beef traits showed that estimated allele substitution effects from GWAS could be used as an input for the estimation of contribution is mostly polygenic with the presence of a number of genes with large effects. The presented approach will provide additional knowledge to enhance understanding of genetics basis of covariation and will contribute to the identification of genes and pathways associated with dairy and beef traits in dual-purpose populations.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne prirodne znanosti, Poljoprivreda (agronomija), Interdisciplinarne biotehničke znanosti

POVEZANOST RADA