Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes.

Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes. J Appl Genet. 2018 Sep 24;: Authors: Chiaia HLJ, Peripolli E, de Oliveira Silva RM, Feitosa FLB, de Lemos MVA, Berton MP, Olivieri BF, Espigolan R, Tonussi RL, Gordo DGM, de Albuquerque LG, de Oliveira HN, Ferrinho AM, Mueller LF, Kluska S, Tonhati H, Pereira ASC, Aguilar I, Baldi F Abstract The aim of the present study was to compare the predictive ability of SNP-BLUP model using different pseudo-phenotypes such as phenotype adjusted for fixed effects, estimated breeding value, and genomic estimated breeding value, using simulated and real data for beef FA profile of Nelore cattle finished in feedlot. A pedigree with phenotypes and genotypes of 10,000 animals were simulated, considering 50% of multiple sires in the pedigree. Regarding to phenotypes, two traits were simulated, one with high heritability (0.58), another with low heritability (0.13). Ten replicates were performed for each trait and results were averaged among replicates. A historical population was created from generation zero to 2020, with a constant size of 2000 animals (from generation zero to 1000) to produce different levels of linkage disequilibrium (LD). Therefore, there was a gradual reduction in the number of animals (from 2000 to 600), producing a "bottleneck effect" and consequently, genetic drift and LD starting in the generation 1001 to 2020. A total ...
Source: J Appl Genet - Category: Genetics & Stem Cells Authors: Tags: J Appl Genet Source Type: research