| Grant number: | 13/20571-2 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | March 01, 2014 |
| End date: | February 28, 2018 |
| Field of knowledge: | Agronomical Sciences - Animal Husbandry - Genetics and Improvement of Domestic Animals |
| Principal Investigator: | José Bento Sterman Ferraz |
| Grantee: | Miguel Henrique de Almeida Santana |
| Host Institution: | Faculdade de Zootecnia e Engenharia de Alimentos (FZEA). Universidade de São Paulo (USP). Pirassununga , SP, Brazil |
| Associated research grant: | 12/50533-2 - GIFT: genomic improvement of fertilization traits in Danish and Brazilian cattle, AP.TEM |
| Associated scholarship(s): | 14/14121-7 - System genetics studies of feedlot traits using super-dense SNP panel, BE.EP.PD |
Abstract Production costs are extremely important in the cattle, from the higher costs, are highlighted the costs of feed. Moreover, the fact that Brazil is featured in this production chain, with about 200 million bovines, mainly animals Bos primigenius indicus, mostly Nellore, further increases the importance of studies aimed at improving productivity and reducing the environmental impact of production systems. Intake and feed efficiency has been the subject of many studies in recent decades; its notoriety has been reported widely in taurine cattle (Bos primigenius taurus), however studies in Nellore began less than a decade. Addition to that, the accelerated evolution of biotechnology, focused on genetics and molecular biology led to the complete sequencing of the bovine genome, and thus, the prospect of hundreds of thousands of molecular markers like single nucleotide polymorphisms (SNPs). Furthermore, the incorporation of thousands of SNPs, originated the genome wide association studies (GWAS), which allowed the rapid and efficient identification of regions and markers that influence determined phenotypes. Additionally, pointing out the locations of genes that may explain physiologically some economic interest traits. The aim of the study is to carry the GWAS in different panels of SNPs for intake and feed efficiency in Nellore, to identify SNPs associated with these phenotypes; combine the information from these different panels through the imputation; to verify the regions around these markers, identifying the genes involved; and also characterize the genes identified as to their hepatic gene expression. | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
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