- Research Grants
|Support type:||Scholarships in Brazil - Master|
|Effective date (Start):||July 01, 2013|
|Effective date (End):||July 31, 2014|
|Field of knowledge:||Agronomical Sciences - Animal Husbandry|
|Principal Investigator:||Danísio Prado Munari|
|Home Institution:||Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil|
Considering the advent of genomics in animal breeding and the recent technology of high density genotyping panels, genome wide association studies between single nucleotide polymorphism (SNP) and phenotypes could bring benefits in animal production. The artificial selection aims to obtain individuals bearing genes of interest, consequently, the population allele frequencies changes over the years. However, some genomic regions are in linkage disequilibrium, meaning that some SNP do not segregate at random and loci are maintained through generation. This phenomenon is also known as haplotype. When haplotypes are transmitted together with genes they are called selection signatures. Selection signatures can be estimated by using high density SNP panels through genotype scans and helps to indentify genes that are responsible, directly or indirectly, to the phenotypic variations of traits of economic interest under selection. Furthermore, it enables greater understanding of evolution and biology involved in the manifestations of phenotype and provide tools to increase efficiency of selection. Thus, the aim of this study is to identify selection signatures in Canchim cattle under selection. Data of 400 Canchim animals genotyped with high density panels will be analyzed. Selection signatures will be detected by determining the Extended Haplotype Homozygosity Statistic, through the R statistical software package "rehh".