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Association between genomic inbreeding coefficients and reproductive traits in Nelore cattle

Grant number: 13/26269-6
Support type:Scholarships abroad - Research Internship - Master's degree
Effective date (Start): February 14, 2014
Effective date (End): June 13, 2014
Field of knowledge:Agronomical Sciences - Veterinary Medicine
Principal Investigator:José Fernando Garcia
Grantee:Ludmilla Balbo Zavarez
Supervisor abroad: Tad Stewart Sonstegard
Home Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
Local de pesquisa : Beltsville Agricultural Research Center, United States  
Associated to the scholarship:13/15869-2 - Association between genomic inbreeding coefficients and reproductive traits in Nelore cattle, BP.MS

Abstract

Inbreeding has been suggested as a cause of reduced reproductive performance in cattle. This negative relationship is known as 'inbreeding depression', and evidence supporting this hypothesis comes from studies of association between reproductive measures and estimates of the inbreeding coefficient (F). Traditionally, the inbreeding coefficient is calculated based on expectations from pedigree data (FPED), which is often incomplete and susceptible to error. The emergence of high-throughtput DNA microarrays capable of determining the genotypic profile of hundreds of thousands of single site polymorphisms (SNP) genome-wide allowed for obtaining more robust estimates of inbreeding coefficients through the detection of runs of homozygosity (ROH) in the bovine genome. The present project aims at seeking associations between genomic inbreeding coefficients (FROH) and phenotypes adjusted for. Age at First Calving (AFC) and Gestation Length (GL) in Nellore cattle, using data from over 2,000 Nellore samples genotyped for over 777,000 SNPs. Runs of homozygosity (ROH) will be identified for each individual using the software SNP & Variation Suite (Golden Helix) and levels of individual autozygosity shall be associated with phenotypes using linear mixed model weighted in order to identify regions of the genome that influence the manifestation of reproductive traits in cattle. Key Terms: Cattle, Nellore, Inbreeding, Genomics, SNP, Runs of homozygosity. (AU)