Brazilian and world poultry have achieved significant progress in performance indexes, mainly due to genetic breeding, which is based on the estimation of genetic value from the measurement of quantitative traits. However, it is common in this process that the selection does not made separately for each trait due to the genetic correlation that exists between them. This correlation is caused by pleiotropy or genetic linkage. During the execution of the Brazilian Chicken Genome Project, an initiative between Embrapa Suínos e Aves and ESALQ/USP, it was possible to identify pleiotropic QTL regions and linked-QTL using the TCTC population (male broilers x female layers) through the implementation of multivariate QTL mapping models. Additionally, due to the identification of millions of SNPs on chicken genome, it has been possible to use strategies based on saturation of genomic regions, in order to associate SNPs with quantitative traits with economic interest in poultry. Therefore, this project aims to understand the effect of genetic linkage on performance and carcass traits by the saturation with SNPs markers on two linked-QTL regions of chicken chromosome 1 (GGA1). From 48 to 96 most informative SNPs will be selected using a high density chip (60 k) to genotype about 450 F2. Finally, association tests will be carried out employing the uni and multivariate and haplotypes approaches. It is expected that this strategy allows the identification of SNPs combinations that explain part of the phenotypic variance of traits that have genetic linkage as a cause of genetic correlation. Thus, such SNPs may be used in poultry breeding to improve the assessed traits simultaneously.
News published in Agência FAPESP Newsletter about the scholarship: