Julius van der Werf

University of New England
Armidale Australia

Papers:
004 Optimal breeding strategies for sheep should consider variation in feed availability 008 Breeding Goals and Phenotyping Programs for Multi-Trait Improvement in the Genomics Era 015 Design of Reference Populations for Genomic Selection in Crossbreeding Programs 025 Increased genetic gains in sheep breeding programs from using female reproductive technologies combined with genomic selection 062 Genomic estimation of additive and dominance genetic variance and their effect on the accuracy of genomic prediction of sheep 334 Genomic Evaluations in the Australian Sheep Industry 346 Is Variation in Growth Trajectories genetically correlated with Meat quality Traits in Australian Terminal Lambs? 347 Exploring Genotype x Environment Interaction and Heritabilities for a Reproduction Trait in Merino Sheep Using Three Approaches 351 Genomic Selection in Sheep Breeding Programs 409 The Effect of Using Genomic Breeding Values to Manage the Loss in Response to Selection Caused by Genotype by Environment Interactions 609 Using random regression models to optimize selection for yield, persistency and calving interval in Philippine dairy buffaloes 651 Evaluation of the BEAGLE Haplotype Reconstruction Algorithm 685 Estimating Genomic Variance Explained per Chromosome Using Pedigree and Genomic Data in Sheep 912 Effects of selection accuracy, risk and young ewe fertility on breeding program design