Drivers of Dairy Genetics Research

Slides:

Advertisements

Similar presentations

2007 Paul VanRaden 1, Jeff O’Connell 2, George Wiggans 1, Kent Weigel 3 1 Animal Improvement Programs Lab, USDA, Beltsville, MD, USA 2 University of Maryland.

Advertisements

Added value of whole-genome sequence data to genomic predictions in dairy cattle Rianne van Binsbergen 1,2, Mario Calus 1, Chris Schrooten 3, Fred van.

Genomic imputation and evaluation using 1074 high density Holstein genotypes P. M. VanRaden 1, D. J. Null 1 *, G.R. Wiggans 1, T.S. Sonstegard 2, E.E.

2007 Paul VanRaden and Jeff O’Connell Animal Improvement Programs Lab, Beltsville, MD U MD College of Medicine, Baltimore, MD

Finding and managing information for your PhD (including Endnote): advanced Laura Jeffrey and David Heading.

Use of Quantitative Trait Loci (QTL) in Dairy Sire Selection Fabio Monteiro de Rezende Universidade Federal Rural de Pernambuco (UFRPE) - Brazil.

Bull selection based on QTL for specific environments Fabio Monteiro de Rezende Universidade Federal Rural de Pernambuco (UFRPE) - Brazil.

Introduction Ebsco Host. Public Libraries Have many databases you can search to find journal, magazine, and newspaper articles. Of these, Ebsco is one.

G.R. Wiggans 1, T.S. Sonstegard 1, P.M. VanRaden 1, L.K. Matukumalli 1,2, R.D. Schnabel 3, J.F. Taylor 3, J.P. Chesnais 4, F.S. Schenkel 5, and C.P. Van.

 What is THAT ???!!!. Follow the trail to find gems …

Wiggans, 2013RL meeting, Aug. 15 (1) Dr. George R. Wiggans, Acting Research Leader Bldg. 005, Room 306, BARC-West (main office);

How Genomics is changing Business and Services of Associations Dr. Josef Pott, Weser-Ems-Union eG, Germany.

What’s coming next in genomics? Ben Hayes, Department of Primary Industries, Victoria, Australia.

2007 Jana L. Hutchison Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD , USA

Mating Programs Including Genomic Relationships and Dominance Effects

Mating Programs Including Genomic Relationships and Dominance Effects Chuanyu Sun 1, Paul M. VanRaden 2, Jeff R. O'Connell 3 1 National Association of.

Chuanyu Sun Paul VanRaden National Association of Animal breeders, USA Animal Improvement Programs Laboratory, USA Increasing long term response by selecting.

WiggansARS Big Data Workshop – July 16, 2015 (1) George R. Wiggans Animal Genomics and Improvement Laboratory Agricultural Research Service, USDA Beltsville,

Changes in the use of young bulls K. M. Olson* 1, J. L. Hutchison 2, P. M. VanRaden 2, and H. D. Norman 2 1 National Association of Animal Breeders, Columbia,

Impacts of inclusion of foreign data in genomic evaluation of dairy cattle K. M. Olson 1, P. M. VanRaden 2, D. J. Null 2, and M. E. Tooker 2 1 National.

Dr. George R. Wiggans, Ph.D. Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD, USA

George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD National Association.

2007 ADSA 2007 (1)H.D. Norman Effect of service sire and cow sire on gestation length H.D. Norman,* J.R. Wright, P.M. VanRaden, and J.B. Cole Animal Improvement.

Breeding cattle for a more efficient and sustainable milk and meat production Oscar González-Recio, J. Pryce, M.E. Goddard, B. Hayes EURO FOOD

T H O M S O N S C I E N T I F I C Marian Hollingsworth Manager, Publisher Relations July 18, 2007 Using Metrics to Improve your Journal Veterinary Journal.

Wiggans, th WCGALP (1) G.R. Wiggans*, T.A. Cooper, D.J. Null, and P.M. VanRaden Animal Genomics and Improvement Laboratory Agricultural Research.

Comparison of Holstein service-sire fertility for heifer and cow breedings with conventional and sexed semen H. D. Norman*, J. L. Hutchison, and P. M.

An Efficient Method of Generating Whole Genome Sequence for Thousands of Bulls Chuanyu Sun 1 and Paul M. VanRaden 2 1 National Association of Animal Breeders,

Bovine Genomics The Technology and its Applications Gerrit Kistemaker Chief Geneticist, Canadian Dairy Network (CDN) Many slides were created by.

AFGC Convention 2004 (1) 2004 Possibilities for Improving Dairy Cattle Performance Dr. H. Duane Norman Animal Improvement Programs Laboratory Agricultural.

Information Literacy Welcome to European Master in ABG Annemie Kersten August 11, 2009.

2007 Paul VanRaden, Mel Tooker, Jan Wright, Chuanyu Sun, and Jana Hutchison Animal Improvement Programs Lab, Beltsville, MD National Association of Animal.

Cooper, 2014CDCB Meeting Aug. 5(1) T.A. Cooper, G.R. Wiggans and P.M. VanRaden Animal Genomics and Improvement Laboratory, Agricultural Research Service,

J. B. Cole * and P. M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD

G.R. Wiggans* and P.M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD

P. M. VanRaden and T. A. Cooper * Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD, USA

WiggansARS Big Data Computing Workshop (1) 2013 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville,

Council on Dairy Cattle Breeding April 27, 2010 Interpretation of genomic breeding values from a unified, one-step national evaluation Research project.

2007 Paul VanRaden 1, Jeff O’Connell 2, George Wiggans 1, Kent Weigel 3 1 Animal Improvement Programs Lab, USDA, Beltsville, MD, USA 2 University of Maryland.

Research Publications Analysis Saint Mary’s

Multi-trait, multi-breed conception rate evaluations P. M. VanRaden 1, J. R. Wright 1 *, C. Sun 2, J. L. Hutchison 1 and M. E. Tooker 1 1 Animal Genomics.

Multibreed Genomic Evaluation Using Purebred Dairy Cattle K. M. Olson* 1 and P. M. VanRaden 2 1 Department of Dairy Science Virginia Polytechnic and State.

G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD G.R. WiggansADSA 18.

Multibreed Genomic Evaluations in Purebred Dairy Cattle K. M. Olson 1 and P. M. VanRaden 2 1 National Association of Animal Breeders 2 AIPL, ARS, USDA.

G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD Select Sires‘ Holstein.

G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD 2011 National Breeders.

G.R. Wiggans, T. A. Cooper* and P.M. VanRaden Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD

What gains can we expect from Genetics?

My vision for dairy genomics

Cattle Breeding in Ireland.

Will Genomic Selection for Increased Feed Efficiency Improve the Profitability and Sustainability of Dairy Farms? David Worden* & Getu Hailu Food, Agricultural.

Y. Masuda1, I. Misztal1, P. M. VanRaden2, and T. J. Lawlor3

Introduction to Direct-to-Consumer Genetic Testing

Across-country test-day model evaluations for Holstein, Nordic Red Cattle, and Jersey Martin H. Lidauer, Jukka Pösö, Jørn Pedersen, Jan Lassen, Per Madsen,

DairyBio Animal Program

For academic research Using Google Scholar For academic research

Methods to compute reliabilities for genomic predictions of feed intake Paul VanRaden, Jana Hutchison, Bingjie Li, Erin Connor, and John Cole USDA, Agricultural.

Bibliometric Analysis of Quality of Life Publication

Genomic Evaluations.

Predictions of Breed Composition Using Holsteins, Jersey, and Brown Swiss Genotypes K. M. Olson and P. M. VanRaden.

Where AIPL Fits In Agricultural Research Service (ARS) is the main research arm of USDA (8,000 employees with 2,000 scientists at >100 locations) Beltsville.

Perspectives from Human Studies and Low Density Chip

Percent of total breedings

Increased reliability of genetic evaluations for dairy cattle in the United States from use of genomic information Abstr.

Using Haplotypes in Breeding Programs

Bibliometric Analysis of Desflurane Research

Publication Trends of Breast Cancer Articles in SCI

Hay Burners versus Hay Converters (a.k.a. Feed Efficiency)

Economics of Reproduction: the Quality of the Pregnancy

Wading through the confusion of EPDs and genomics

Presentation transcript:

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

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

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

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

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

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

Thank you.