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Including cow information in genomic prediction of Holstein dairy cattle in the US

Tuesday, August 19, 2014
Posters (The Westin Bayshore)
Tabatha A Cooper , Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD
George R. Wiggans , Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD
Paul M VanRaden , USDA-ARS-AIPL, Beltsville, MD
Abstract Text:

The number of females genotyped in the US has increased to 12,650 per month comprising 74% of the total genotypes received in 2013. The objective of this study was to evaluate the accuracy of cow and bull traditional information in the genomic evaluation system. Cutoff studies to determine gains in reliability due to the addition of genomic information were compared for three predictor populations, cows only, bulls only and cows and bulls. The addition of cow information to that of bulls increased genomic reliability by 0.4 percentage points across all traits. The use of cow information only in the predictor population can be used for genomic predictions. However, the addition of cow data to data from the large number of high reliability bulls in the US system has only a small benefi

Keywords:

single nucleotide polymorphism

genomic evaluation

dairy cattle