1. Drivers of Dairy Genetics Research
Isaac Haagen
Maci Mueller
Council on Dairy Cattle Breeding

2. Objective
Determine the people, locations, and scope of dairy genetic research over the last 5 years

3. The Database Methods Variables Date range: 2012 - 2017 (August)
Search terms: Dairy genetics, dairy genomics, dairy and genetics, dairy and genomics
Exclusions: dairy cattle not mentioned in title or abstract
Variables
authors, corresponding author, organization name, organization type, organization country, journal, year, keywords, and citations

4. Rest of presentation only JDS
Summary Counts
Journals: 60
Corresponding Authors: 591
Organizations: 237
Countries: 47
Rest of presentation only JDS

5. Most cited articles in Journal of Dairy Science
Author
Article Title
Citations
HAYES, BJ
Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels
176
PSZCZOLA, M
Reliability of direct genomic values for animals with different relationships within and to the reference population 90
PENASA, M
Genetics and modeling of milk coagulation properties 74
VANRADEN, PM
Genomic imputation and evaluation using high-density Holstein genotypes 69
PRYCE, JE
Accuracy of genomic predictions of residual feed intake and 250-day body weight in growing heifers using 625,000 single nucleotide polymorphism markers 66

15. Summary Wide range of countries Universities – high paper count
Governments – high impact
Important keywords – genomic evaluations, novel/functional traits

16. Thank you.