For Scientists

Genetic Correlations Between Carcass Traits And Molecular Breeding Values In Angus Cattle

M. D. MacNeil, S. L. Northcutt, R. D. Schnabel, D. J. Garrick, B.W. Woodward and J. F. Taylor

Deregressing estimated breeding values and weighting information for genomic regression analyses

Dorian J Garrick, Jeremy F Taylor and Rohan L Fernando

Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation

Mahdi Saatchi, Mathew C McClure, Stephanie D McKay, Megan M Rolf, JaeWoo Kim, Jared E Decker, Tasia M Taxis, Richard H Chapple, Holly R Ramey, Sally L Northcutt, Stewart Bauck, Brent Woodward, Jack CM Dekkers, Rohan L Fernando, Robert D Schnabel, Dorian J Garrick and Jeremy F Taylor

Accuracy of direct genomic breeding values for nationally evaluated traits in US Limousin and Simmental beef cattle

Mahdi Saatchi, Robert D Schnabel, Megan M Rolf, Jeremy F Taylor and Dorian J Garrick

Impact of reduced marker set estimation of genomic relationship matrices on genomic selection for feed efficiency in Angus cattle

Megan M Rolf, Jeremy F Taylor, Robert D Schnabel, Stephanie D McKay, Matthew C McClure, Sally L Northcutt, Monty S Kerley and Robert L Weaber

Reducing bias in maintenance energy expected progeny difference by accounting for selection on weaning and yearling weights

J. L. Williams, D. J. Garrick and S. E. Speidel

An animal breeding approach to the estimation of genetic and environmental trends from field populations

D. J. Garrick

Genomic prediction of simulated multibreed and purebred performance using observed fifty thousand single nucleotide polymorphism genotypes

K. Kizilkaya, R. L. Fernando, and D. J. Garricky

Genetic and phenotypic parameter estimates for feed intake and other traits in growing beef cattle, and opportunities for selection

K. M. Rolfe, W. M. Snelling, M. K. Nielsen, H. C. Freetly, C. L. Ferrell and T. G. Jenkins

The accuracies of DNA-based estimates of genetic merit derived from Angus or multibreed beef cattle training populations

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 and A. L. Van Eenennaam

Accuracies of direct genomic breeding values in Hereford beef cattle using national or international training populations

M. Saatchi, J. Ward and D. J. Garrick

Genome-wide association analysis for feed efficiency in Angus cattle

M. M. Rolf, J. F. Taylor, R. D. Schnabel, S. D. McKay, M. C. McClure, S. L. Northcutt†, M. S. Kerley and R. L. Weaber

Genetic Correlations Between Carcass Traits And Molecular Breeding Values In Angus Cattle

M. D. MacNeil, S. L. Northcutt, R. D. Schnabel, D. J. Garrick, B.W. Woodward and J. F. Taylor

Genetic relationships between feed efficiency in growing males and beef cow performance

J. J. Crowley, R. D. Evans, N. Mc Hugh, D. A. Kenny, M. McGee, D. H. Crews Jr., and D. P. Berry

Genetic associations between feed efficiency measured in a performance test station and performance of growing cattle in commercial beef herds

J. J. Crowley, R. D. Evans, N. Mc Hugh, T. Pabiou, D. A. Kenny, M. McGee, D. H. Crews Jr., and D. P. Berry

Phenotypic and genetic parameters for different measures of feed efficiency in different breeds of Irish performance-tested beef bulls

J. J. Crowley, M. McGee, D. A. Kenny, D. H. Crews Jr., R. D. Evans and D. P. Berry

National Program for Genetic Improvement of Feed Efficiency in Beef Cattle

US Consortium for the Genetic Improvement of Feed Efficiency in Beef Cattle

A Review of the Genetics of Feed Efficiency

Dr. Donagh Berry, Quantitative Geneticist, Teagasc-The Agriculture and Food Development Authority, Ireland and John Crowley, Postdoctoral Fellows, Department of Agricultural, Food and Nutritional Science

• Genetics of Feed Efficiency in Dairy and Beef Cattle (ppt)
• Genetics of Feed Efficiency

Feed Efficiency Project

Dr. Bob Weaber
International Committee for Animal Recording (ICAR), Cork, Ireland, May 2012

 

NBCEC White Paper on Genomics in Beef Cattle

Dr. Kerley discusses variation in cattle efficiency