Document Detail

The accuracies of DNA-based estimates of genetic merit derived from Angus- or multi-breed beef cattle training populations.
MedLine Citation:
PMID:  22871929     Owner:  NLM     Status:  Publisher    
Several organizations have developed prediction models for molecular breeding values (MBV) for quantitative growth and carcass traits in beef cattle using BovineSNP50 genotypes and phenotypic or EBV data. MBV for Angus cattle have been developed by IGENITY, Pfizer Animal Genetics, and a collaboration between researchers from Iowa State University (ISU) and the University of Missouri-Columbia (UMC). The U.S. Meat Animal Research Center (USMARC; Clay Center, NE) has also developed MBV for 16 cattle breeds using two multi-breed populations, the GermPlasm Evaluation program (GPE) and the 2,000 Bull Project (2K(ALL)), and two single breed subpopulations of the 2,000 Bull Project, Angus (2K(AN)) and Hereford (2K(HH)). In this study, these MBV were assessed relative to commercial ranch EBV estimated from the progeny phenotypes of Angus bulls naturally mated in multi-sire breeding pastures to commercial cows: 121 for USMARC MBV, 99 for ISU/UMC MBV, and 29 for IGENITY and Pfizer MBV (selected based on number of progeny carcass records). Five traits were analyzed: weaning weight (WW), hot carcass weight (CW), marbling score (MS), rib-eye muscle area (RE), and, for IGENITY and Pfizer only, feedlot average daily gain (ADG). The average accuracies of MBV across traits were: IGENITY 0.38±0.05, Pfizer 0.61±0.12, ISU/UMC 0.46±0.12, GPE 0.16±0.04, 2K(ALL) 0.26±0.05, 2K(AN) 0.24±0.04, and 2K(HH) 0.02±0.12. Angus-based MBV (IGENITY, Pfizer, ISU/UMC, and 2K(AN)) explained larger proportions of genetic variance in this population than GPE, 2K(ALL), or 2K(HH) MBV for the same traits. In this data set, IGENITY, Pfizer, and ISU/UMC MBV were predictive of realized performance of progeny, and incorporation of that information into national genetic evaluations would be expected to improve EPD accuracy, particularly for young animals.
K L Weber; D J Drake; J F Taylor; D J Garrick; L A Kuehn; R M Thallman; R D Schnabel; W M Snelling; E J Pollak; A L Van Eenennaam
Related Documents :
4018569 - A direct assessment of the role of genetic drift in determining allele frequency variat...
24067379 - Entering a new phase of immunogenetics in the idiopathic inflammatory myopathies.
8634219 - Dna profiling of the vntr locus d2s44 in the population of madras city and in the triba...
22890139 - Mutations in the hfe, tfr2, and slc40a1 genes in patients with hemochromatosis.
24549219 - Comprehensive pathway-based analysis identifies associations of bcl2, gnao1 and chd2 wi...
11050559 - Microsatellite analysis of population structure and genetic differentiation within and ...
24944569 - Population differentiation of zander (sander lucioperca) across native and newly coloni...
9660059 - A 'de novo' point mutation of the low-density lipoprotein receptor gene in an italian s...
16594019 - Rate of evolution of a character without epistasis.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-8-7
Journal Detail:
Title:  Journal of animal science     Volume:  -     ISSN:  1525-3163     ISO Abbreviation:  J. Anim. Sci.     Publication Date:  2012 Aug 
Date Detail:
Created Date:  2012-8-8     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8003002     Medline TA:  J Anim Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Animal Science, University of California, Davis CA 95616, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Effect of Calving Distribution on Beef Cattle Progeny Performance.
Next Document:  Relationships among performance, residual feed intake, and product quality of progeny from Red Angus...