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Filters: Author is Ric G Sherlock  [Clear All Filters]
2018
B. Harris, Sherlock, R. G., Couldrey, C., Keehan, M., and Tiplady, K., The use of sequence SNP in a marker model for an across-breed dairy cattle genomic evaluation, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Method and Tools - Prediction 1, p. 340, 2018. (909.72 KB)
2014
R. Spelman, Tiplady, K., Harland, C., Winkelman, A. M., Sherlock, R. G., Keehan, M. D., and Littlejohn, M., Application of large-scale sequence datasets for the discovery of genomic variations of economic importance in dairy cattle, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 200, 2014. (280 KB)
M. K. Hayr, Saatchi, M., Sherlock, R. G., Johnson, D., and Garrick, D. J., Evaluating the Effects of QTN for Milk Fat Yield and their Impact on Accuracy and Bias of Genomic Prediction in New Zealand Holstein-Friesian Cows, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information (Posters), p. 505, 2014. (170.03 KB)
R. G. Sherlock, Predicting Susceptibiliy to Johne's Disease in New Zealand Dairy Cattle, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetics of Trait Complexes: Disease resistance (Posters), p. 550, 2014. (251.52 KB)
2006
R. G. Sherlock, Amer, P. R., and Garrick, D. J., AnimalSim - simulating animal population with quantitative and QTL information., Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006, p. 27.29, 2006.