Iona Macleod
Iona Macleod
Senior Research Scientist, Agriculture Victoria Research, Department of Economic Development, Jobs
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A genome map of divergent artificial selection between Bos taurus dairy cattle and Bos taurus beef cattle
BJ Hayes, AJ Chamberlain, S Maceachern, K Savin, H Mcpartlan, ...
Animal genetics 40 (2), 176-184, 2009
Toward genomic prediction from whole-genome sequence data: impact of sequencing design on genotype imputation and accuracy of predictions
T Druet, IM Macleod, BJ Hayes
Heredity 112 (1), 39-47, 2014
Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits
IM MacLeod, PJ Bowman, CJ Vander Jagt, M Haile-Mariam, KE Kemper, ...
BMC genomics 17 (1), 144, 2016
Accuracy of marker-assisted selection with single markers and marker haplotypes in cattle
BJ Hayes, AJ Chamberlain, H McPartlan, I Macleod, L Sethuraman, ...
Genetics Research 89 (4), 215-220, 2007
Whole-genome resequencing of two elite sires for the detection of haplotypes under selection in dairy cattle
DM Larkin, HD Daetwyler, AG Hernandez, CL Wright, LA Hetrick, ...
Proceedings of the National Academy of Sciences 109 (20), 7693-7698, 2012
Inferring demography from runs of homozygosity in whole-genome sequence, with correction for sequence errors
IM MacLeod, DM Larkin, HA Lewin, BJ Hayes, ME Goddard
Molecular biology and evolution 30 (9), 2209-2223, 2013
Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture
ME Goddard, KE Kemper, IM MacLeod, AJ Chamberlain, BJ Hayes
Proceedings of the Royal Society B: Biological Sciences 283 (1835), 20160569, 2016
Nutrition during fetal life alters annual wool production and quality in young Merino sheep
RW Kelly, I Macleod, P Hynd, J Greeff
Australian Journal of Experimental Agriculture 36 (3), 259-267, 1996
The effects of demography and long-term selection on the accuracy of genomic prediction with sequence data
IM MacLeod, BJ Hayes, ME Goddard
Genetics 198 (4), 1671-1684, 2014
Genomic prediction from whole genome sequence in livestock: the 1000 bull genomes project
BJ Hayes, IM MacLeod, HD Daetwyler, PJ Bowman, AJ Chamberlain, ...
Proceedings of the 10th world congress on genetics applied to livestock …, 2014
Evaluation of the accuracy of imputed sequence variant genotypes and their utility for causal variant detection in cattle
H Pausch, IM MacLeod, R Fries, R Emmerling, PJ Bowman, ...
Genetics Selection Evolution 49 (1), 24, 2017
Power of a genome scan to detect and locate quantitative trait loci in cattle using dense single nucleotide polymorphisms
IM MacLeod, BJ Hayes, KW Savin, AJ Chamberlain, HC McPartlan, ...
Journal of Animal Breeding and Genetics 127 (2), 133-142, 2010
A novel predictor of multilocus haplotype homozygosity: comparison with existing predictors
IM MacLeod, BJ Hayes, ME Goddard
Genetics research 91 (6), 413-426, 2009
Population structure and history of the Welsh sheep breeds determined by whole genome genotyping
SE Beynon, GT Slavov, M Farré, B Sunduimijid, K Waddams, B Davies, ...
BMC genetics 16 (1), 65, 2015
Lifetime changes in wool production of Merino sheep following differential feeding in fetal and early life
RW Kelly, JC Greeff, I Macleod
Australian Journal of Agricultural Research 57 (8), 867-876, 2006
Two-variance-component model improves genetic prediction in family datasets
G Tucker, PR Loh, IM MacLeod, BJ Hayes, ME Goddard, B Berger, ...
The American Journal of Human Genetics 97 (5), 677-690, 2015
Selection for nematode resistance in sheep in the Australian Mediterranean climatic zone
LJE Karlsson, IM MacLeod, DH Leelawardana, K Sissoev, J Simmons
Breeding for disease resistance in sheep’.(Eds GD Gray, RR Woollaston) pp …, 1991
Genome-wide comparative analyses of correlated and uncorrelated phenotypes identify major pleiotropic variants in dairy cattle
R Xiang, IM MacLeod, S Bolormaa, ME Goddard
Scientific reports 7 (1), 1-12, 2017
Multi-breed genomic prediction using Bayes R with sequence data and dropping variants with a small effect
I Van Den Berg, PJ Bowman, IM MacLeod, BJ Hayes, T Wang, ...
Genetics Selection Evolution 49 (1), 70, 2017
A Bayesian analysis to exploit imputed sequence variants for QTL discovery
IM MacLeod, BJ Hayes, CJ Vander Jagt, KE Kemper, M Haile-Mariam, ...
Proceedings of the 10th World Congress of Genetics Applied to Livestock …, 2014
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