204 Genomic study for beef tenderness in a polled Nelore cattle population

Genome-wide association study and predictive ability for growth traits in Nellore cattle

“…Considering the aforementioned, Silva et al (2017) in a study of genomic selection for a trait of economic interest, as beef tenderness, carried out with 609 Nelore animals, 61 genotypes in 700K (BovineHD BeadChip, Illumina Inc., San Diego, CA.) and 548 genotypes in 80K (GeneSeek Genomic Profiler HD BeadChip), reported an accuracy gain of 285.71% after considering only informational regions (5K SNPs) when compared to the high-density panel (376K SNPs).…”

“…In this sense, reduce the genotyping cost through single nucleotide polymorphisms (SNP) panel density reduction, including the most informative markers for key traits, is a lower cost strategy to apply genomic selection in large scale. Recently, Silva et al (2017) in a GWAS for beef tenderness in Nellore cattle reported higher prediction ability when considered the most informative markers (5K SNP) compared to a high-density array (376K SNP). This result suggests that including non-informative SNP markers could impair the prediction ability, and SNP array reduction is a cheaper alternative for genomic selection in beef cattle.…”