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Different Strategies for Genomic Prediction of Average Daily Weight Gain in Feedlot in Nellore Finishing Steers

Monday, August 18, 2014
Posters (The Westin Bayshore)
Adriana L. Somavilla , Universidade Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, Brazil
Luciana C. A. Regitano , Embrapa Pecuária Sudeste, São Carlos, Brazil
Fabiana B. Mokry , Universidade Federal de São Carlos, São Carlos, Brazil
Maurício A. Mudadu , Embrapa Pecuária Sudeste, São Carlos, Brazil
Rymer R. Tullio , Embrapa Pecuária Sudeste, São Carlos, Brazil
Michele L. Nascimento , Universidade de São Paulo/Esalq, Piracicaba, Brazil
Luiz L. Coutinho , Universidade de São Paulo/Esalq, Piracicaba, Brazil
Danísio P. Munari , Universidade Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, Brazil
Abstract Text: Average daily weight gain data were recorded for 804 Nellore finishing steers during feedlot periods in Brazil between 2007 and 2009 and two experimental stations. These animals were genotyped with a 700k SNP panel, which yielded three other SNP subset strategies (TagSNPs, GGP HDi and GGP LDi). The genomic breeding values were estimated by the rr-BLUP approach and their accuracies were computed to compare the strategies. It was possible to observe some differences among  the genetic variances assessed by each of the subsets. GGP HDi 90K and TagSNPs strategies estimated GEBVs with a wider distribution than SNPs from the whole dataset. This can be an evidence that using more informative markers in a small sample could result in better accuracies estimations. However, the differences in the variances of the GEBV suggest a necessity for a new parameterization of the model.            

Keywords:

beef cattle

Bos indicus

SNPs

See more of: Posters: Prediction using molecular information (Group 4)
See more of: Genetic Improvement Programs: Selection using molecular information
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